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Author SHA1 Message Date
Stowell, Mark L c50ef26b1b Updating serial version of example 23 2019-04-25 16:21:42 -07:00
Stowell, Mark L 189b609c62 Fixing comment and "make style" 2019-04-25 16:21:05 -07:00
Stowell, Mark L 0799a89ede Removing unused data member 2019-04-25 16:20:32 -07:00
Stowell, Mark L d1914c96b6 Moving IMEX solvers to linalg/ode.?pp 2019-04-25 16:20:00 -07:00
Stowell, Mark L f8d2377984 Fixing typos and unnecessary options in sample runs 2019-04-25 16:19:19 -07:00
Stowell, Mark L fdee495d9f Removing unused inflow function 2019-04-25 15:01:13 -07:00
Stowell, Mark L fddad9c348 Updating comment header 2019-04-25 15:00:51 -07:00
Stowell, Mark L 36b6e73789 Updating and validating sample runs 2019-04-25 14:57:07 -07:00
Stowell, Mark L 936c69b951 Changing the time stepping slightly 2019-04-25 14:56:40 -07:00
Stowell, Mark L fd109248a2 Reordering matrix sums so that first matrix has the larger sparsity pattern 2019-04-25 10:56:10 -07:00
Stowell, Mark L e0918b2c71 Merge remote-tracking branch 'origin/bugfix/csr-mat-sum' into adv-diff-ex-dev 2019-04-25 10:55:03 -07:00
Stowell, Mark L 1881dd8885 Supporting all three ODE solver types 2019-04-25 10:45:07 -07:00
Mark L. Stowell f11adaef3e Merge pull request #884 from mfem/adv-diff-ex-imex-dev
Add IMEX functionality to advection-diffusion example (ex23)
2019-04-25 10:22:04 -07:00
Stowell, Mark L e64afc006a Merge remote-tracking branch 'origin/adv-diff-ex-dev' into adv-diff-ex-imex-dev 2019-04-25 10:17:21 -07:00
Stowell, Mark L f123c55d1f Defining separate TDOs for explicit, implicit, and IMEX solvers 2019-04-25 10:15:15 -07:00
Will Pazner 875cf632f7 Update IMEX-RK solver with more comments/documentation 2019-04-24 17:38:50 -07:00
Will Pazner 4822ca6a91 Add IMEX functionality 2019-04-24 10:03:35 -07:00
Stowell, Mark L e4fc982466 Adding serial version of ex23 2019-04-22 20:34:37 -07:00
Stowell, Mark L 270df97348 Changing matrix add routine to avoid issue with hypre_ParCSRMatrixSum found by Travis 2019-04-22 19:40:33 -07:00
Stowell, Mark L ab6b27db4a Modifying TDO to support either implicit of explicit ODE solvers 2019-04-19 15:55:17 -07:00
Stowell, Mark L 97621f6a19 Updating comments 2019-04-19 15:53:52 -07:00
Stowell, Mark L e561888af1 Adding inhomogeneous Dirichlet BC 2019-04-17 16:27:05 -07:00
Stowell, Mark L d1bee894ce Changing default diffusion coefficient 2019-04-17 16:26:41 -07:00
Stowell, Mark L 522f60d587 Updating comment blocks 2019-04-17 16:26:18 -07:00
Stowell, Mark L 654e4ef540 Name changes for cleanup of output files 2019-04-17 14:19:40 -07:00
Stowell, Mark L c2c4d0d4c0 Adding ex23p = ex9p + ex14p 2019-04-17 14:17:00 -07:00
166 changed files with 9794 additions and 15654 deletions
+7 -6
View File
@@ -26,18 +26,19 @@ install:
- cd ..
# Install hypre
- ps: Start-FileDownload 'https://github.com/hypre-space/hypre/archive/V2-10-0b.tar.gz'
- 7z x V2-10-0b.tar.gz -so | 7z x -si -ttar > nul
- cd hypre-2-10-0b
- cmake -H. -Bbuild -DHYPRE_USING_FEI=OFF -DMPI_C_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DMPI_C_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include"
- ps: Start-FileDownload 'https://computation.llnl.gov/project/linear_solvers/download/hypre-2.10.0b.tar.gz'
- 7z x hypre-2.10.0b.tar.gz -so | 7z x -si -ttar > nul
- cd hypre-2.10.0b
- cmake -Hsrc -Bbuild -DMPI_C_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DMPI_C_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include"
# - cmake -Hsrc -Bbuild -DCMAKE_BUILD_TYPE=Release -DMPI_C_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DMPI_C_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include"
- cmake --build build
- cmake --build build --target install
- cd ..
# MFEM
before_build:
- cmake -H. -DCMAKE_INSTALL_PREFIX=install -Bbuild_parallel -DMFEM_USE_MPI=TRUE -DMFEM_USE_METIS_5=TRUE -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DHYPRE_LIBRARIES=%cd%\hypre-2-10-0b\hypre\lib\HYPRE.lib -DHYPRE_INCLUDE_DIRS=%cd%\hypre-2-10-0b\hypre\include -DHYPRE_VERSION=21000 -DMETIS_LIBRARIES=%cd%\metis-5.1.0\build\libmetis\Debug\metis.lib -DMETIS_INCLUDE_DIRS=%cd%\metis-5.1.0\include
- cmake -H. -DCMAKE_INSTALL_PREFIX=install -Bbuild_serial -DMFEM_USE_MPI=FALSE
- cmake -H. -DCMAKE_INSTALL_PREFIX=install -Bbuild_parallel -DMFEM_USE_MPI=TRUE -DMFEM_USE_METIS_5=TRUE -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DHYPRE_LIBRARIES=%cd%\hypre-2.10.0b\src\hypre\lib\HYPRE.lib -DHYPRE_INCLUDE_DIRS=%cd%\hypre-2.10.0b\src\hypre\include -DHYPRE_VERSION=21000 -DMETIS_LIBRARIES=%cd%\metis-5.1.0\build\libmetis\Debug\metis.lib -DMETIS_INCLUDE_DIRS=%cd%\metis-5.1.0\include
- cmake -H. -DCMAKE_INSTALL_PREFIX=install -Bbuild_serial -DMFEM_USE_MPI=FALSE -DMFEM_USE_METIS_5=TRUE -DMPI_CXX_LIBRARIES="C:\Program Files (x86)\Microsoft SDKs\MPI\Lib\x86\msmpi.lib" -DMPI_CXX_INCLUDE_PATH="C:\Program Files (x86)\Microsoft SDKs\MPI\Include" -DHYPRE_LIBRARIES=%cd%\hypre-2.10.0b\src\hypre\lib\HYPRE.lib -DHYPRE_INCLUDE_DIRS=%cd%\hypre-2.10.0b\src\hypre\include -DHYPRE_VERSION=21000 -DMETIS_LIBRARIES=%cd%\metis-5.1.0\build\libmetis\Debug\metis.lib -DMETIS_INCLUDE_DIRS=%cd%\metis-5.1.0\include
build_script:
- cmake --build build_parallel
+3 -6
View File
@@ -82,9 +82,9 @@ examples/ex20.dat
examples/ex20p_?????.dat
examples/gnuplot_ex20.inp
examples/gnuplot_ex20p.inp
examples/ex21*.mesh
examples/ex21*.sol
examples/ex21p_*.*
examples/ex22*.mesh
examples/ex22*.sol
examples/ex22p_*.*
examples/sundials/ex9
examples/sundials/ex1[06]
@@ -183,6 +183,3 @@ miniapps/nurbs/Example1*
# Unit test binary and outputs
tests/unit/output_meshes
tests/unit/unit_tests
# VPATH builds
build-*/*
+36 -80
View File
@@ -8,46 +8,22 @@
http://mfem.org
Version 4.0.1 (development)
===========================
Version 4.0-RC2, Apr 24, 2019
=============================
Improved GPU support
--------------------
- Added initial support for AMD GPUs based on HIP: a C++ runtime API and kernel
language that can run on both AMD and NVIDIA hardware. With this change, the
list of backends is: "occa-cuda", "raja-cuda", "cuda", "hip", "occa-omp",
"raja-omp", "omp", "occa-cpu", "raja-cpu", and "cpu".
Requirements and Limitations
----------------------------
- This is a release candidate for mfem-4.0.
- Use at your own risk -- not everything will work and the API may change.
- We are looking for feedback from friendly users.
- Unlike previous MFEM releases, this version requires a C++11 compiler.
- Improved RAJA backend.
- Improved multi-GPU MPI communication.
Miscellaneous
-------------
- Improved element numbering after uniform mesh refinement.
Discretization improvements
---------------------------
- Added support for non-conforming prism AMR, including coarsening and parallel
load balancing. Anisotropic prism refinement is only available in the serial
version at the moment.
Miscellaneous
-------------
- Upgraded the SUNDIALS interface to utilize SUNDIALS version 5.0. This
necessitated a complete rework of the interface and requires changes at
the application level. Example usage of this new interface can be found
in the examples/sundials directory.
- Added support for creating refined versions of periodic meshes, making use of
the new L2ElementRestriction class. This class also allows for computing
geometric factors on periodic meshes using partial assembly.
Version 4.0, released on May 24, 2019
=====================================
Unlike previous MFEM releases, this version requires a C++11 compiler.
- GPU-related limitations:
* Hypre preconditioners are not yet available in GPU mode.
* Only constant coefficients are currently supported on GPUs.
* Full-assembly (on device), element assembly, and matrix-free bilinear forms
are not supported yet. Element batching is currently ignored.
* Partial assembly kernels are not implemented yet for simplices.
GPU support
-----------
@@ -58,7 +34,7 @@ GPU support
seamlessly with a new lightweight device/host memory manager. The kernels can
be implemented either in OCCA, or as a simple wrapper around for-loops, which
can then be dispatched to RAJA and native backends. See the files forall.hpp
and mem_manager.hpp in the general/ directory for more details.
and mem_manager.hpp in the general/ directory.
- Several of the MFEM example codes (ex1, ex1p, ex6, and ex6p) can now take
advantage of GPU acceleration with the backend selectable at runtime. Many of
@@ -66,43 +42,26 @@ GPU support
bilinear forms) have been extended to take advantage of kernel acceleration by
simply replacing loops with the MFEM_FORALL() macro.
- In addition to native CUDA kernels, the library currently supports OCCA, RAJA
and OpenMP kernels, which could be mixed and matched in different parts of the
same application. We plan on adding support for more programming models and
devices in the future, without the need for significant modifications in user
code. The list of current backends is: "occa-cuda", "raja-cuda", "cuda",
"occa-omp", "raja-omp", "omp", "occa-cpu", "raja-cpu", and "cpu".
- GPU-related limitations:
* Hypre preconditioners are not yet available in GPU mode, and in particular
hypre must be built in CPU mode.
* Only constant coefficients are currently supported on GPUs.
* Optimized element assembly, and matrix-free bilinear forms are not
implemented yet. Element batching is currently ignored.
* In device mode, full assembly is performed on the host (but the matvec
action is performed on the device).
* Partial assembly kernels are not implemented yet for simplices.
- In addition to pure CUDA, the library currently supports OCCA, RAJA and OpenMP
kernels, which could be mixed and matched in different parts of the same
application. We plan on adding support for more programming models and devices
in the future, without the need for significant modifications in user code.
The list of current backends is: "occa-cuda", "raja-cuda", "cuda", "occa-omp",
"raja-omp", "omp", "occa-cpu", "raja-cpu", and "cpu".
Discretization improvements
---------------------------
- Partial assembled finite element operators are now available in the core
library, based on the new classes PABilinearFormExtension, ElementRestriction,
DofToQuad and GeometricFactors (associated with the classes BilinearForm,
FiniteElementSpace, FiniteElement and Mesh, respectively). The kernels for
partial assembled Setup/Assembly and Action/Mult are implemented in the
BilinearFormIntegrator methods AssemblePA and AddMultPA.
- Added support for a general "low-order refined"-to-"high-order" transfer of
GridFunction data from a "low-order refined" (LOR) space defined on a refined
mesh to a "high-order" (HO) finite element space defined on a coarse mesh. See
the new classes InterpolationGridTransfer and L2ProjectionGridTransfer and the
new LOR Transfer miniapp: miniapps/tools/lor-transfer.cpp.
- Added support for derefinement of vector (RT + ND) spaces.
- Added element flux, and flux energy computation in class ElasticityIntegrator,
allowing for the use of Zienkiewicz-Zhu type error estimators with the
integrator. For an illustration of this addition, see the new Example 21.
- Added support for derefinement of vector (RT + ND) spaces.
integrator. For an illustration of this addition, see the new Example 22.
- Added a variety of coefficients which are sums or products of existing
coefficients as well as grid function coefficients which return the
@@ -114,13 +73,13 @@ Support for wedge elements and meshes with mixed element types
type PRISM) which have two triangular faces and three quadrilateral faces.
Several examples of such meshes can be found in the data/ directory.
- Added H1 and L2 finite elements of arbitrary order for Wedge elements.
- Added support for mixed meshes containing triangles and quadrilaterals in 2D
or tetrahedra, wedges, and hexahedra in 3D. This includes support for uniform
refinement of such meshes. Several examples of such meshes can be found in the
data/ directory.
- Added H1 and L2 finite elements of arbitrary order for Wedge elements.
- Added support for reading and writing linear and quadratic meshes containing
wedge elements in VTK mesh format. Several examples of such meshes can be
found in the data/ directory.
@@ -141,10 +100,6 @@ Other meshing improvements
This guarantees that the shape regularity of the elements will be preserved
under refinement.
- The TMOP mesh optimization algorithms were extended to support user-defined
space-dependent limiting terms. Improved the TMOP objective functions by more
accurate normalization of the different terms.
- Added support for parallel communication groups on non-conforming meshes.
- Improved parallel partitioning of non-conforming meshes. If the coarse mesh
@@ -158,6 +113,10 @@ Other meshing improvements
- Added support for reading linear and quadratic 2D quadrilateral and triangular
Cubit meshes.
- The TMOP mesh optimization algorithms were extended to support user-defined
space-dependent limiting terms. Improved the TMOP objective functions by more
accurate normalization of the different terms.
New and updated examples and miniapps
-------------------------------------
- Added a new meshing miniapp, Toroid, which can produce a variety of torus
@@ -173,7 +132,7 @@ New and updated examples and miniapps
from a Hamiltonian. The example demonstrates the use of the variable order,
symplectic integration algorithm implemented in class SIAVSolver.
- Added a new example, Example 21/21p, that illustrates the use of AMR to solve
- Added a new example, Example 22/22p, that illustrates the use of AMR to solve
a linear elasticity problem. This is an extension of Example 2/2p.
New and improved solvers and preconditioners
@@ -185,24 +144,21 @@ New and improved solvers and preconditioners
Miscellaneous
-------------
- Added unit tests based on the Catch++ library in the test/ directory.
- In SparseMatrix added the option to perform MultTranspose() by matvec with
computed and stored transpose matrix. This is required for deterministic
results when using devices such as CUDA and OpenMP.
- Added unit tests based on the Catch++ library.
- Renamed the option MFEM_USE_OPENMP to MFEM_USE_LEGACY_OPENMP. This legacy
option is deprecated and planned for removal in a future release. The original
option name, MFEM_USE_OPENMP, is now used to enable the new OpenMP backends in
the new kernels.
- In SparseMatrix added the option to perform MultTranspose() by matvec with
computed and stored transpose matrix. This is required for deterministic
results when using devices such as CUDA and OpenMP.
- Altered the way FGMRES counts its iterations so that it matches GMRES.
- Various other simplifications, extensions, and bugfixes in the code.
- Construct abstract parallel rectangular truedof-to-truedof operators via
Operator::FormDiscreteOperator().
API changes
-----------
- In multiple places, use Geometry::Type instead of int, where appropriate.
+6 -5
View File
@@ -50,7 +50,7 @@ project(mfem NONE)
# Current version of MFEM, see also `makefile`.
# mfem_VERSION = (string)
# MFEM_VERSION = (int) [automatically derived from mfem_VERSION]
set(${PROJECT_NAME}_VERSION 4.0.1)
set(${PROJECT_NAME}_VERSION 3.4.1)
# Prohibit in-source build
if (${PROJECT_SOURCE_DIR} STREQUAL ${PROJECT_BINARY_DIR})
@@ -286,6 +286,7 @@ if (MFEM_USE_CUDA)
set(CUDA_CCBIN_COMPILER ${CMAKE_CXX_COMPILER})
endif()
string(APPEND CMAKE_CUDA_FLAGS " -ccbin ${CUDA_CCBIN_COMPILER}")
set(MFEM_USE_MM YES CACHE BOOL "Enable MFEM's memory manager" FORCE)
endif()
# OCCA
@@ -395,11 +396,11 @@ endif()
set_target_properties(mfem PROPERTIES VERSION "${mfem_VERSION}")
set_target_properties(mfem PROPERTIES SOVERSION "${mfem_VERSION}")
# If building out-of-source, define MFEM_CONFIG_FILE to point to the config file
# inside the build directory.
# If building out-of-source, define MFEM_BUILD_DIR to point to the build
# directory.
if (NOT ("${PROJECT_SOURCE_DIR}" STREQUAL "${PROJECT_BINARY_DIR}"))
target_compile_definitions(mfem PRIVATE
"MFEM_CONFIG_FILE=\"${PROJECT_BINARY_DIR}/config/_config.hpp\"")
"MFEM_BUILD_DIR=${PROJECT_BINARY_DIR}")
endif()
# Generate configuration file in the build directory: config/_config.hpp.
@@ -415,7 +416,7 @@ if (NOT ("${PROJECT_SOURCE_DIR}" STREQUAL "${PROJECT_BINARY_DIR}"))
"Writing substitute header --> \"${Header}\"")
file(WRITE "${PROJECT_BINARY_DIR}/${Header}"
"// Auto-generated file.
#define MFEM_CONFIG_FILE \"${PROJECT_BINARY_DIR}/config/_config.hpp\"
#define MFEM_BUILD_DIR ${PROJECT_BINARY_DIR}
#include \"${PROJECT_SOURCE_DIR}/${Header}\"
")
# This version will be installed in the top include directory:
+19 -36
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@@ -28,16 +28,13 @@ The METIS dependency can be disabled but that is not generally recommended, see
the option MFEM_USE_METIS.
MFEM also includes support for devices such as GPUs, and programming models such
as CUDA, HIP, OCCA, OpenMP and RAJA.
as CUDA, OCCA, OpenMP and RAJA.
- Starting with version 4.0, MFEM requires a C++11 compiler
- CUDA support requires an NVIDIA GPU and an installation of the CUDA Toolkit
https://developer.nvidia.com/cuda-toolkit
- HIP support requires an AMD GPU and an installation of the ROCm software stack
https://rocm.github.io/ROCmInstall.html#installing-from-amd-rocm-repositories
- OCCA support requires the OCCA library
https://libocca.org
@@ -78,10 +75,6 @@ CUDA build:
make cuda -j 4
(build for a specific compute capability: 'make cuda -j 4 CUDA_ARCH=sm_30')
HIP build:
make hip -j 4
(build for a specific AMD GPU chip: 'make hip -j 4 HIP_ARCH=gfx900')
Example codes (serial/parallel, depending on the build):
cd examples
make -j 4
@@ -168,18 +161,14 @@ Note that re-configuration is only needed to change the currently configured
options. Several shortcut targets combining (re-)configuration and compilation
are also defined:
make serial -> Builds serial optimized version of the library
make parallel -> Builds parallel optimized version of the library
make debug -> Builds serial debug version of the library
make pdebug -> Builds parallel debug version of the library
make cuda -> Builds serial cuda optimized version of the library
make pcuda -> Builds parallel cuda optimized version of the library
make cudebug -> Builds serial cuda debug version of the library
make pcudebug -> Builds parallel cuda debug version of the library
make hip -> Builds serial hip optimized version of the library
make phip -> Builds parallel hip optimized version of the library
make hipdebug -> Builds serial hip debug version of the library
make phipdebug -> Builds parallel hip debug version of the library
make serial -> Builds serial optimized version of the library
make parallel -> Builds parallel optimized version of the library
make debug -> Builds serial debug version of the library
make pdebug -> Builds parallel debug version of the library
make cuda -> Builds serial cuda optimized version of the library
make pcuda -> Builds parallel cuda optimized version of the library
make cudebug -> Builds serial cuda debug version of the library
make pcudebug -> Builds parallel cuda debug version of the library
Note that any of the above shortcuts accept configuration options, either at the
command line or through a user configuration file.
@@ -415,19 +404,18 @@ MFEM_USE_PUMI = YES/NO
models and effectively supports automated adaptive analysis. PUMI enables
support for parallel unstructured mesh modifications in MFEM.
MFEM_USE_MM = YES/NO
Enables support for the MFEM's memory manager (MM), which is required to
support devices with different memory spaces. This option is required when
CUDA support is enabled, i.e. when MFEM_USE_CUDA=YES.
MFEM_USE_CUDA = YES/NO
Enables support for CUDA devices in MFEM. CUDA is a parallel computing
platform and programming model for general computing on graphical processing
units (GPUs). The variable CUDA_ARCH is used to specify the CUDA compute
capability used during compilation (by default, CUDA_ARCH=sm_60). When
enabled, this option uses the CUDA_* build options, see below.
MFEM_USE_HIP = YES/NO
Enables support for AMD devices in MFEM. HIP is a heterogeneous-compute
interface for portability developed by AMD that can target both AMD and
NVIDIA GPUs. The variable HIP_ARCH is used to specify the AMD GPU processor
used during compilation (by default, HIP_ARCH=gfx900). When enabled, this
option uses the HIP_* build options, see below.
units (GPUs). This option requires MFEM_USE_MM. The variable CUDA_ARCH is
used to specify the CUDA compute capability used during compilation (by
default, CUDA_ARCH=sm_60). When enabled, this option uses the CUDA_* build
options, see below.
MFEM_USE_RAJA = YES/NO
Enable support for the RAJA performance portability layer in MFEM. RAJA
@@ -488,7 +476,6 @@ The specific libraries and their options are:
- SUNDIALS (optional), used when MFEM_USE_SUNDIALS = YES.
Beginning with MFEM v3.3, SUNDIALS v2.7.0 is supported.
Beginning with MFEM v3.3.2, SUNDIALS v3.0.0 is also supported.
Beginning with MFEM v4.1, only SUNDIALS v5.0.0+ is supported.
If MFEM_USE_MPI is enabled, we expect that SUNDIALS is built with support for
both MPI and hypre.
URL: http://computation.llnl.gov/projects/sundials/sundials-software
@@ -562,16 +549,11 @@ The specific libraries and their options are:
URL: https://developer.nvidia.com/cuda-toolkit
Options: CUDA_CXX, CUDA_ARCH, CUDA_OPT, CUDA_LIB.
- HIP, used when MFEM_USE_HIP = YES.
URL: https://rocm.github.io/ROCmInstall.html
Options: HIP_CXX, HIP_ARCH, HIP_OPT, HIP_LIB.
- OCCA, used when MFEM_USE_OCCA = YES.
URL: https://libocca.org
Options: OCCA_DIR, OCCA_OPT, OCCA_LIB.
- RAJA, used when MFEM_USE_RAJA = YES.
Beginning with MFEM v4.1, only RAJA v0.10.0+ is supported.
URL: https://github.com/LLNL/RAJA
Options: RAJA_DIR, RAJA_OPT, RAJA_LIB.
@@ -714,6 +696,7 @@ MFEM_USE_PUMI
MFEM_USE_CUDA
MFEM_USE_OCCA
MFEM_USE_RAJA
MFEM_USE_MM
The following options are CMake specific:
+1
View File
@@ -41,6 +41,7 @@ set(MFEM_USE_MPFR @MFEM_USE_MPFR@)
set(MFEM_USE_SIDRE @MFEM_USE_SIDRE@)
set(MFEM_USE_CONDUIT @MFEM_USE_CONDUIT@)
set(MFEM_USE_PUMI @MFEM_USE_PUMI@)
set(MFEM_USE_MM @MFEM_USE_MM@)
set(MFEM_USE_CUDA @MFEM_USE_CUDA@)
set(MFEM_USE_OCCA @MFEM_USE_OCCA@)
set(MFEM_USE_RAJA @MFEM_USE_RAJA@)
+3
View File
@@ -120,6 +120,9 @@
// Enable MFEM functionality based on the OCCA library
#cmakedefine MFEM_USE_OCCA
// Enable MFEM's internal Memory Manager (needed e.g. for MFEM_USE_CUDA)
#cmakedefine MFEM_USE_MM
// Which library functions to use in class StopWatch for measuring time.
// For a list of the available options, see INSTALL.
// If not defined, an option is selected automatically.
@@ -720,7 +720,8 @@ function(mfem_export_mk_files)
MFEM_USE_MEMALLOC MFEM_USE_SUNDIALS MFEM_USE_MESQUITE MFEM_USE_SUITESPARSE
MFEM_USE_SUPERLU MFEM_USE_STRUMPACK MFEM_USE_GECKO MFEM_USE_GNUTLS
MFEM_USE_NETCDF MFEM_USE_PETSC MFEM_USE_MPFR MFEM_USE_SIDRE
MFEM_USE_CONDUIT MFEM_USE_PUMI MFEM_USE_CUDA MFEM_USE_OCCA MFEM_USE_RAJA)
MFEM_USE_CONDUIT MFEM_USE_PUMI MFEM_USE_MM MFEM_USE_CUDA MFEM_USE_OCCA
MFEM_USE_RAJA)
foreach(var ${CONFIG_MK_BOOL_VARS})
if (${var})
set(${var} YES)
+11 -3
View File
@@ -10,15 +10,18 @@
// Software Foundation) version 2.1 dated February 1999.
// Support out-of-source builds: if MFEM_CONFIG_FILE is defined, include it.
// Support out-of-source builds: if MFEM_BUILD_DIR is defined, load the config
// file MFEM_BUILD_DIR/config/_config.hpp.
//
// Otherwise, use the local file: _config.hpp.
#ifndef MFEM_CONFIG_HPP
#define MFEM_CONFIG_HPP
#ifdef MFEM_CONFIG_FILE
#include MFEM_CONFIG_FILE
#ifdef MFEM_BUILD_DIR
#define MFEM_QUOTE(a) #a
#define MFEM_MAKE_PATH(x,y) MFEM_QUOTE(x/y)
#include MFEM_MAKE_PATH(MFEM_BUILD_DIR,config/_config.hpp)
#else
#include "_config.hpp"
#endif
@@ -53,4 +56,9 @@
#endif
#endif // MFEM_USE_MPI not defined
// CUDA requires the memory manager
#if defined(MFEM_USE_CUDA) && !defined(MFEM_USE_MM)
#error Building with CUDA (MFEM_USE_CUDA=YES) requires MFEM_USE_MM=YES
#endif
#endif // MFEM_CONFIG_HPP
+4 -5
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@@ -121,20 +121,19 @@
// Enable MFEM functionality based on the PUMI library
// #define MFEM_USE_PUMI
// Build the NVIDIA GPU/CUDA-enabled version of the MFEM library.
// Build the GPU/CUDA-enabled version of the MFEM library.
// Requires a CUDA compiler (nvcc).
// #define MFEM_USE_CUDA
// Build the AMD GPU/HIP-enabled version of the MFEM library.
// Requires a HIP compiler (hipcc).
// #define MFEM_USE_HIP
// Enable functionality based on the RAJA library.
// #define MFEM_USE_RAJA
// Enable functionality based on the OCCA library.
// #define MFEM_USE_OCCA
// Enable MFEM's internal Memory Manager (needed e.g. for MFEM_USE_CUDA)
// #define MFEM_USE_MM
// Version of HYPRE used for building MFEM.
// #define MFEM_HYPRE_VERSION @MFEM_HYPRE_VERSION@
+1 -1
View File
@@ -42,9 +42,9 @@ MFEM_USE_SIDRE = @MFEM_USE_SIDRE@
MFEM_USE_CONDUIT = @MFEM_USE_CONDUIT@
MFEM_USE_PUMI = @MFEM_USE_PUMI@
MFEM_USE_CUDA = @MFEM_USE_CUDA@
MFEM_USE_HIP = @MFEM_USE_HIP@
MFEM_USE_RAJA = @MFEM_USE_RAJA@
MFEM_USE_OCCA = @MFEM_USE_OCCA@
MFEM_USE_MM = @MFEM_USE_MM@
# Compiler, compile options, and link options
MFEM_CXX = @MFEM_CXX@
+2 -1
View File
@@ -42,6 +42,7 @@ option(MFEM_USE_MPFR "Enable MPFR usage." OFF)
option(MFEM_USE_SIDRE "Enable Axom/Sidre usage" OFF)
option(MFEM_USE_CONDUIT "Enable Conduit usage" OFF)
option(MFEM_USE_PUMI "Enable PUMI" OFF)
option(MFEM_USE_MM "Enable MFEM's memory manager" OFF)
option(MFEM_USE_CUDA "Enable CUDA" OFF)
option(MFEM_USE_OCCA "Enable OCCA" OFF)
option(MFEM_USE_RAJA "Enable RAJA" OFF)
@@ -81,7 +82,7 @@ set(METIS_DIR "${MFEM_DIR}/../metis-4.0" CACHE PATH "Path to the METIS library."
set(LIBUNWIND_DIR "" CACHE PATH "Path to Libunwind.")
set(SUNDIALS_DIR "${MFEM_DIR}/../sundials-5.0.0/instdir" CACHE PATH
set(SUNDIALS_DIR "${MFEM_DIR}/../sundials-3.0.0" CACHE PATH
"Path to the SUNDIALS library.")
# The following may be necessary, if SUNDIALS was built with KLU:
# set(SUNDIALS_REQUIRED_PACKAGES "SuiteSparse/KLU/AMD/BTF/COLAMD/config"
+4 -16
View File
@@ -46,14 +46,6 @@ CUDA_FLAGS = -x=cu --expt-extended-lambda -arch=$(CUDA_ARCH)
CUDA_XCOMPILER = -Xcompiler=
CUDA_XLINKER = -Xlinker=
# HIP configuration options
HIP_CXX = hipcc
# The HIP_ARCH option specifies the AMD GPU processor, similar to CUDA_ARCH. For
# example: gfx600 (tahiti), gfx700 (kaveri), gfx701 (hawaii), gfx801 (carrizo),
# gfx900, gfx1010, etc.
HIP_ARCH = gfx900
HIP_FLAGS = --amdgpu-target=$(HIP_ARCH)
ifneq ($(NOTMAC),)
AR = ar
ARFLAGS = cruv
@@ -130,9 +122,9 @@ MFEM_USE_SIDRE = NO
MFEM_USE_CONDUIT = NO
MFEM_USE_PUMI = NO
MFEM_USE_CUDA = NO
MFEM_USE_HIP = NO
MFEM_USE_RAJA = NO
MFEM_USE_OCCA = NO
MFEM_USE_MM = NO
# Compile and link options for zlib.
ZLIB_DIR =
@@ -182,9 +174,9 @@ OPENMP_LIB =
POSIX_CLOCKS_LIB = -lrt
# SUNDIALS library configuration
SUNDIALS_DIR = @MFEM_DIR@/../sundials-5.0.0/instdir
SUNDIALS_DIR = @MFEM_DIR@/../sundials-3.0.0
SUNDIALS_OPT = -I$(SUNDIALS_DIR)/include
SUNDIALS_LIB = -Wl,-rpath,$(SUNDIALS_DIR)/lib64 -L$(SUNDIALS_DIR)/lib64\
SUNDIALS_LIB = -Wl,-rpath,$(SUNDIALS_DIR)/lib -L$(SUNDIALS_DIR)/lib\
-lsundials_arkode -lsundials_cvode -lsundials_nvecserial -lsundials_kinsol
ifeq ($(MFEM_USE_MPI),YES)
@@ -209,7 +201,7 @@ SUITESPARSE_LIB = -Wl,-rpath,$(SUITESPARSE_DIR)/lib -L$(SUITESPARSE_DIR)/lib\
# SuperLU library configuration
SUPERLU_DIR = @MFEM_DIR@/../SuperLU_DIST_5.1.0
SUPERLU_OPT = -I$(SUPERLU_DIR)/SRC
SUPERLU_LIB = -Wl,-rpath,$(SUPERLU_DIR)/lib -L$(SUPERLU_DIR)/lib -lsuperlu_dist_5.1.0
SUPERLU_LIB = -Wl,-rpath,$(SUPERLU_DIR)/SRC -L$(SUPERLU_DIR)/SRC -lsuperlu_dist
# SCOTCH library configuration (required by STRUMPACK <= v2.1.0, optional in
# STRUMPACK >= v2.2.0)
@@ -312,10 +304,6 @@ PUMI_LIB = -L$(PUMI_DIR)/lib -lpumi -lcrv -lma -lmds -lapf -lpcu -lgmi -lparma\
CUDA_OPT =
CUDA_LIB =
# HIP library configuration (currently not needed)
HIP_OPT =
HIP_LIB =
# OCCA library configuration
OCCA_DIR = @MFEM_DIR@/../occa
OCCA_OPT = -I$(OCCA_DIR)/include
+1 -2
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@@ -36,7 +36,6 @@ CONFIG_MK = config.mk
all: header config-mk
MPI = $(MFEM_USE_MPI:NO=)
GHV_CXX ?= $(MFEM_CXX)
GHV = get_hypre_version
GHV_FLAGS = $(subst @MFEM_DIR@,$(if $(MFEM_DIR),$(MFEM_DIR),..),$(HYPRE_OPT))
SMX = $(if $(MFEM_USE_PUMI:NO=),MFEM_USE_SIMMETRIX)
@@ -45,7 +44,7 @@ SMX_FILE = $(subst @MFEM_DIR@,$(if $(MFEM_DIR),$(MFEM_DIR),..),$(SMX_PATH))
$(GHV): $(SRC)$(GHV).cpp
$(call mfem-info, Determining HYPRE version ...)
$(GHV_CXX) ${GHV_FLAGS} $(SRC)$(GHV).cpp -o $(GHV)
$(MFEM_CXX) ${GHV_FLAGS} $(SRC)$(GHV).cpp -o $(GHV)
$(GHV).out: $(GHV)
./$(GHV) > $(GHV).out
.INTERMEDIATE: $(GHV) $(GHV).out
+2 -1
View File
@@ -276,7 +276,8 @@ case "$1" in
;;
-dev)
device_runs="yes"
mfem_config+=" MFEM_USE_CUDA=YES MFEM_USE_OCCA=YES MFEM_USE_RAJA=YES MFEM_USE_OPENMP=YES"
mfem_config+=" MFEM_USE_CUDA=YES MFEM_USE_MM=YES \
MFEM_USE_OCCA=YES MFEM_USE_RAJA=YES MFEM_USE_OPENMP=YES"
;;
-v)
valgrind="yes"
+3 -2
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@@ -43,14 +43,15 @@
#define MFEM_ALIGN_SIZE(size,type) \
MFEM_ROUNDUP(size,(MFEM_SIMD_SIZE)/sizeof(type))
#ifdef MFEM_COUNT_FLOPS
namespace mfem
{
namespace internal
{
extern long long flop_count;
long long flop_count;
}
}
#ifdef MFEM_COUNT_FLOPS
#define MFEM_FLOPS_RESET() (mfem::internal::flop_count = 0)
#define MFEM_FLOPS_ADD(cnt) (mfem::internal::flop_count += (cnt))
#define MFEM_FLOPS_GET() (mfem::internal::flop_count)
+1 -1
View File
@@ -38,7 +38,7 @@ PROJECT_NAME = "MFEM"
# could be handy for archiving the generated documentation or if some version
# control system is used.
PROJECT_NUMBER = v4.0.1
PROJECT_NUMBER = v3.4.1
# Using the PROJECT_BRIEF tag one can provide an optional one line description
# for a project that appears at the top of each page and should give viewer a
+2 -4
View File
@@ -37,9 +37,7 @@ namespace mfem {
*
* <H3>Main GPU classes</H3>
* - Device
* - Memory
* - MemoryManager
* - MFEM_FORALL macro in forall.hpp
*
* <H3>Example codes</H3>
* - <a class="el" href="examples_2ex1_8cpp_source.html">Example 1</a>: nodal H1 FEM for the Laplace problem
@@ -79,8 +77,8 @@ namespace mfem {
* - <a class="el" href="ex19p_8cpp_source.html">Example 19p</a>: parallel incompressible nonlinear elasticity
* - <a class="el" href="ex20_8cpp_source.html">Example 20</a>: symplectic ODE integration
* - <a class="el" href="ex20p_8cpp_source.html">Example 20p</a>: parallel symplectic ODE integration
* - <a class="el" href="ex21_8cpp_source.html">Example 21</a>: adaptive mesh refinement for linear elasticity
* - <a class="el" href="ex21p_8cpp_source.html">Example 21p</a>: parallel adaptive mesh refinement for linear elasticity
* - <a class="el" href="ex22_8cpp_source.html">Example 22</a>: adaptive mesh refinement for linear elasticity
* - <a class="el" href="ex22p_8cpp_source.html">Example 22p</a>: parallel adaptive mesh refinement for linear elasticity
*
* <H4>SUNDIALS Examples</H4>
* - Variants of Examples
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+4 -2
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@@ -27,7 +27,8 @@ list(APPEND ALL_EXE_SRCS
ex18.cpp
ex19.cpp
ex20.cpp
ex21.cpp
ex22.cpp
ex23.cpp
)
if (MFEM_USE_MPI)
@@ -52,7 +53,8 @@ if (MFEM_USE_MPI)
ex18p.cpp
ex19p.cpp
ex20p.cpp
ex21p.cpp
ex22p.cpp
ex23p.cpp
)
endif()
+164 -245
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File diff suppressed because one or more lines are too long
+19 -15
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@@ -62,7 +62,7 @@ int main(int argc, char *argv[])
int order = 1;
bool static_cond = false;
bool pa = false;
const char *device_config = "cpu";
const char *device = "cpu";
bool visualization = true;
OptionsParser args(argc, argv);
@@ -75,7 +75,7 @@ int main(int argc, char *argv[])
"--no-static-condensation", "Enable static condensation.");
args.AddOption(&pa, "-pa", "--partial-assembly", "-no-pa",
"--no-partial-assembly", "Enable Partial Assembly.");
args.AddOption(&device_config, "-d", "--device",
args.AddOption(&device, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
@@ -88,18 +88,13 @@ int main(int argc, char *argv[])
}
args.PrintOptions(cout);
// 2. Enable hardware devices such as GPUs, and programming models such as
// CUDA, OCCA, RAJA and OpenMP based on command line options.
Device device(device_config);
device.Print();
// 3. Read the mesh from the given mesh file. We can handle triangular,
// 2. Read the mesh from the given mesh file. We can handle triangular,
// quadrilateral, tetrahedral, hexahedral, surface and volume meshes with
// the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 4. Refine the mesh to increase the resolution. In this example we do
// 3. Refine the mesh to increase the resolution. In this example we do
// 'ref_levels' of uniform refinement. We choose 'ref_levels' to be the
// largest number that gives a final mesh with no more than 50,000
// elements.
@@ -112,7 +107,7 @@ int main(int argc, char *argv[])
}
}
// 5. Define a finite element space on the mesh. Here we use continuous
// 4. Define a finite element space on the mesh. Here we use continuous
// Lagrange finite elements of the specified order. If order < 1, we
// instead use an isoparametric/isogeometric space.
FiniteElementCollection *fec;
@@ -133,7 +128,7 @@ int main(int argc, char *argv[])
cout << "Number of finite element unknowns: "
<< fespace->GetTrueVSize() << endl;
// 6. Determine the list of true (i.e. conforming) essential boundary dofs.
// 5. Determine the list of true (i.e. conforming) essential boundary dofs.
// In this example, the boundary conditions are defined by marking all
// the boundary attributes from the mesh as essential (Dirichlet) and
// converting them to a list of true dofs.
@@ -145,7 +140,7 @@ int main(int argc, char *argv[])
fespace->GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
}
// 7. Set up the linear form b(.) which corresponds to the right-hand side of
// 6. Set up the linear form b(.) which corresponds to the right-hand side of
// the FEM linear system, which in this case is (1,phi_i) where phi_i are
// the basis functions in the finite element fespace.
LinearForm *b = new LinearForm(fespace);
@@ -153,6 +148,12 @@ int main(int argc, char *argv[])
b->AddDomainIntegrator(new DomainLFIntegrator(one));
b->Assemble();
// 7. Set device config parameters from the command line options and switch
// to working on the device.
Device::Configure(device);
Device::Print();
Device::Enable();
// 8. Define the solution vector x as a finite element grid function
// corresponding to fespace. Initialize x with initial guess of zero,
// which satisfies the boundary conditions.
@@ -202,7 +203,10 @@ int main(int argc, char *argv[])
// 12. Recover the solution as a finite element grid function.
a->RecoverFEMSolution(X, *b, x);
// 13. Save the refined mesh and the solution. This output can be viewed later
// 13. Switch back to the host.
Device::Disable();
// 14. Save the refined mesh and the solution. This output can be viewed later
// using GLVis: "glvis -m refined.mesh -g sol.gf".
ofstream mesh_ofs("refined.mesh");
mesh_ofs.precision(8);
@@ -211,7 +215,7 @@ int main(int argc, char *argv[])
sol_ofs.precision(8);
x.Save(sol_ofs);
// 14. Send the solution by socket to a GLVis server.
// 15. Send the solution by socket to a GLVis server.
if (visualization)
{
char vishost[] = "localhost";
@@ -221,7 +225,7 @@ int main(int argc, char *argv[])
sol_sock << "solution\n" << *mesh << x << flush;
}
// 15. Free the used memory.
// 16. Free the used memory.
delete a;
delete b;
delete fespace;
+4 -4
View File
@@ -5,11 +5,11 @@
// Sample runs:
// mpirun -np 4 ex12p -m ../data/beam-tri.mesh
// mpirun -np 4 ex12p -m ../data/beam-quad.mesh
// mpirun -np 4 ex12p -m ../data/beam-tet.mesh -s 462 -n 10 -o 2 -elast
// mpirun -np 4 ex12p -m ../data/beam-hex.mesh -s 3878
// mpirun -np 4 ex12p -m ../data/beam-wedge.mesh -s 81
// mpirun -np 4 ex12p -m ../data/beam-tet.mesh -s 79 -n 10 -o 2 -elast
// mpirun -np 4 ex12p -m ../data/beam-hex.mesh -s 3876
// mpirun -np 4 ex12p -m ../data/beam-wedge.mesh -s 79
// mpirun -np 4 ex12p -m ../data/beam-tri.mesh -s 3876 -o 2 -sys
// mpirun -np 4 ex12p -m ../data/beam-quad.mesh -s 4544 -n 6 -o 3 -elast
// mpirun -np 4 ex12p -m ../data/beam-quad.mesh -s 4526 -n 6 -o 3 -elast
// mpirun -np 4 ex12p -m ../data/beam-quad-nurbs.mesh
// mpirun -np 4 ex12p -m ../data/beam-hex-nurbs.mesh
//
+1 -1
View File
@@ -252,7 +252,7 @@ int main(int argc, char *argv[])
}
else
{
GMRES(A, M, B, X, 3, 5000, 100, rtol*rtol, 0.0);
GMRES(A, M, B, X, 3, 5000, 50, rtol*rtol, 0.0);
}
#else
// 11. If MFEM was compiled with SuiteSparse, use UMFPACK to solve the system.
+1 -1
View File
@@ -144,7 +144,7 @@ void InitialDeformation(const Vector &x, Vector &y);
int main(int argc, char *argv[])
{
// 1. Parse command-line options
const char *mesh_file = "../data/beam-tet.mesh";
const char *mesh_file = "../data/beam-hex.mesh";
int ref_levels = 0;
int order = 2;
bool visualization = true;
+1 -1
View File
@@ -150,7 +150,7 @@ int main(int argc, char *argv[])
MPI_Comm_rank(MPI_COMM_WORLD, &myid);
// 2. Parse command-line options
const char *mesh_file = "../data/beam-tet.mesh";
const char *mesh_file = "../data/beam-hex.mesh";
int ser_ref_levels = 0;
int par_ref_levels = 0;
int order = 2;
+20 -16
View File
@@ -65,7 +65,7 @@ int main(int argc, char *argv[])
int order = 1;
bool static_cond = false;
bool pa = false;
const char *device_config = "cpu";
const char *device = "cpu";
bool visualization = true;
OptionsParser args(argc, argv);
@@ -78,7 +78,7 @@ int main(int argc, char *argv[])
"--no-static-condensation", "Enable static condensation.");
args.AddOption(&pa, "-pa", "--partial-assembly", "-no-pa",
"--no-partial-assembly", "Enable Partial Assembly.");
args.AddOption(&device_config, "-d", "--device",
args.AddOption(&device, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
@@ -98,18 +98,13 @@ int main(int argc, char *argv[])
args.PrintOptions(cout);
}
// 3. Enable hardware devices such as GPUs, and programming models such as
// CUDA, OCCA, RAJA and OpenMP based on command line options.
Device device(device_config);
if (myid == 0) { device.Print(); }
// 4. Read the (serial) mesh from the given mesh file on all processors. We
// 3. Read the (serial) mesh from the given mesh file on all processors. We
// can handle triangular, quadrilateral, tetrahedral, hexahedral, surface
// and volume meshes with the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 5. Refine the serial mesh on all processors to increase the resolution. In
// 4. Refine the serial mesh on all processors to increase the resolution. In
// this example we do 'ref_levels' of uniform refinement. We choose
// 'ref_levels' to be the largest number that gives a final mesh with no
// more than 10,000 elements.
@@ -122,7 +117,7 @@ int main(int argc, char *argv[])
}
}
// 6. Define a parallel mesh by a partitioning of the serial mesh. Refine
// 5. Define a parallel mesh by a partitioning of the serial mesh. Refine
// this mesh further in parallel to increase the resolution. Once the
// parallel mesh is defined, the serial mesh can be deleted.
ParMesh *pmesh = new ParMesh(MPI_COMM_WORLD, *mesh);
@@ -135,7 +130,7 @@ int main(int argc, char *argv[])
}
}
// 7. Define a parallel finite element space on the parallel mesh. Here we
// 6. Define a parallel finite element space on the parallel mesh. Here we
// use continuous Lagrange finite elements of the specified order. If
// order < 1, we instead use an isoparametric/isogeometric space.
FiniteElementCollection *fec;
@@ -162,7 +157,7 @@ int main(int argc, char *argv[])
cout << "Number of finite element unknowns: " << size << endl;
}
// 8. Determine the list of true (i.e. parallel conforming) essential
// 7. Determine the list of true (i.e. parallel conforming) essential
// boundary dofs. In this example, the boundary conditions are defined
// by marking all the boundary attributes from the mesh as essential
// (Dirichlet) and converting them to a list of true dofs.
@@ -174,7 +169,7 @@ int main(int argc, char *argv[])
fespace->GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
}
// 9. Set up the parallel linear form b(.) which corresponds to the
// 8. Set up the parallel linear form b(.) which corresponds to the
// right-hand side of the FEM linear system, which in this case is
// (1,phi_i) where phi_i are the basis functions in fespace.
ParLinearForm *b = new ParLinearForm(fespace);
@@ -182,6 +177,12 @@ int main(int argc, char *argv[])
b->AddDomainIntegrator(new DomainLFIntegrator(one));
b->Assemble();
// 9. Set device config parameters from the command line options and switch
// to working on the device.
Device::Configure(device);
if (myid == 0) { Device::Print(); }
Device::Enable();
// 10. Define the solution vector x as a parallel finite element grid function
// corresponding to fespace. Initialize x with initial guess of zero,
// which satisfies the boundary conditions.
@@ -224,7 +225,10 @@ int main(int argc, char *argv[])
// local finite element solution on each processor.
a->RecoverFEMSolution(X, *b, x);
// 15. Save the refined mesh and the solution in parallel. This output can
// 15. Switch back to the host.
Device::Disable();
// 16. Save the refined mesh and the solution in parallel. This output can
// be viewed later using GLVis: "glvis -np <np> -m mesh -g sol".
{
ostringstream mesh_name, sol_name;
@@ -240,7 +244,7 @@ int main(int argc, char *argv[])
x.Save(sol_ofs);
}
// 16. Send the solution by socket to a GLVis server.
// 17. Send the solution by socket to a GLVis server.
if (visualization)
{
char vishost[] = "localhost";
@@ -251,7 +255,7 @@ int main(int argc, char *argv[])
sol_sock << "solution\n" << *pmesh << x << flush;
}
// 17. Free the used memory.
// 18. Free the used memory.
delete a;
delete b;
delete fespace;
+14 -14
View File
@@ -1,16 +1,16 @@
// MFEM Example 21
// MFEM Example 22
//
// Compile with: make ex21
// Compile with: make ex22
//
// Sample runs: ex21
// ex21 -o 3
// ex21 -m ../data/beam-quad.mesh
// ex21 -m ../data/beam-quad.mesh -o 3
// ex21 -m ../data/beam-quad.mesh -o 3 -f 1
// ex21 -m ../data/beam-tet.mesh
// ex21 -m ../data/beam-tet.mesh -o 2
// ex21 -m ../data/beam-hex.mesh
// ex21 -m ../data/beam-hex.mesh -o 2
// Sample runs: ex22
// ex22 -o 3
// ex22 -m ../data/beam-quad.mesh
// ex22 -m ../data/beam-quad.mesh -o 3
// ex22 -m ../data/beam-quad.mesh -o 3 -f 1
// ex22 -m ../data/beam-tet.mesh
// ex22 -m ../data/beam-tet.mesh -o 2
// ex22 -m ../data/beam-hex.mesh
// ex22 -m ../data/beam-hex.mesh -o 2
//
// Description: This is a version of Example 2 with a simple adaptive mesh
// refinement loop. The problem being solved is again the linear
@@ -287,11 +287,11 @@ int main(int argc, char *argv[])
}
{
ofstream mesh_ref_out("ex21_reference.mesh");
ofstream mesh_ref_out("ex22_reference.mesh");
mesh_ref_out.precision(16);
mesh.Print(mesh_ref_out);
ofstream mesh_out("ex21_deformed.mesh");
ofstream mesh_out("ex22_deformed.mesh");
mesh_out.precision(16);
GridFunction nodes(&fespace), *nodes_p = &nodes;
mesh.GetNodes(nodes);
@@ -301,7 +301,7 @@ int main(int argc, char *argv[])
mesh.Print(mesh_out);
mesh.SwapNodes(nodes_p, own_nodes);
ofstream x_out("ex21_displacement.sol");
ofstream x_out("ex22_displacement.sol");
x_out.precision(16);
x.Save(x_out);
}
+14 -14
View File
@@ -1,15 +1,15 @@
// MFEM Example 21
// MFEM Example 22
//
// Compile with: make ex21p
// Compile with: make ex22p
//
// Sample runs: mpirun -np 4 ex21p
// mpirun -np 4 ex21p -o 3
// mpirun -np 4 ex21p -m ../data/beam-quad.mesh
// mpirun -np 4 ex21p -m ../data/beam-quad.mesh -o 3
// mpirun -np 4 ex21p -m ../data/beam-tet.mesh
// mpirun -np 4 ex21p -m ../data/beam-tet.mesh -o 2
// mpirun -np 4 ex21p -m ../data/beam-hex.mesh
// mpirun -np 4 ex21p -m ../data/beam-hex.mesh -o 2
// Sample runs: mpirun -np 4 ex22p
// mpirun -np 4 ex22p -o 3
// mpirun -np 4 ex22p -m ../data/beam-quad.mesh
// mpirun -np 4 ex22p -m ../data/beam-quad.mesh -o 3
// mpirun -np 4 ex22p -m ../data/beam-tet.mesh
// mpirun -np 4 ex22p -m ../data/beam-tet.mesh -o 2
// mpirun -np 4 ex22p -m ../data/beam-hex.mesh
// mpirun -np 4 ex22p -m ../data/beam-hex.mesh -o 2
//
// Description: This is a version of Example 2p with a simple adaptive mesh
// refinement loop. The problem being solved is again the linear
@@ -330,7 +330,7 @@ int main(int argc, char *argv[])
x.Update();
}
// 21. Inform also the bilinear and linear forms that the space has
// 22. Inform also the bilinear and linear forms that the space has
// changed.
a.Update();
b.Update();
@@ -338,9 +338,9 @@ int main(int argc, char *argv[])
{
ostringstream mref_name, mesh_name, sol_name;
mref_name << "ex21p_reference_mesh." << setfill('0') << setw(6) << myid;
mesh_name << "ex21p_deformed_mesh." << setfill('0') << setw(6) << myid;
sol_name << "ex21p_displacement." << setfill('0') << setw(6) << myid;
mref_name << "ex22p_reference_mesh." << setfill('0') << setw(6) << myid;
mesh_name << "ex22p_deformed_mesh." << setfill('0') << setw(6) << myid;
sol_name << "ex22p_displacement." << setfill('0') << setw(6) << myid;
ofstream mesh_ref_out(mref_name.str().c_str());
mesh_ref_out.precision(16);
+734
View File
@@ -0,0 +1,734 @@
// MFEM Example 23
//
// Compile with: make ex23
//
// Sample runs:
// ex23 -m ../data/periodic-segment.mesh -p 0 -s 2 -dt 0.001 -vs 50
// ex23 -m ../data/periodic-segment.mesh -p 0 -s 12 -dt 0.01
// ex23 -m ../data/periodic-segment.mesh -p 0 -s 22 -dt 0.01
// ex23 -m ../data/periodic-segment.mesh -p 0 -s 32 -dt 0.005 -vs 10
// ex23 -m ../data/periodic-square.mesh -p 0 -dt 0.01
// ex23 -m ../data/periodic-square.mesh -p 0 -s 32 -dt 0.01
// ex23 -m ../data/periodic-hexagon.mesh -p 0 -d 0.001 -s 12 -dt 0.02
// ex23 -m ../data/periodic-hexagon.mesh -p 0 -d 0.001 -s 32 -dt 0.009 -vs 10
// ex23 -m ../data/periodic-square.mesh -p 1 -dt 0.01 -tf 9
// ex23 -m ../data/periodic-hexagon.mesh -p 1 -dt 0.01 -tf 9
// ex23 -m ../data/amr-quad.mesh -p 1 -dt 0.01 -tf 9 -vs 2
// ex23 -m ../data/disc-nurbs.mesh -p 1 -r 3 -dt 0.01 -tf 9
// ex23 -m ../data/disc-nurbs.mesh -p 2 -r 3 -dt 0.01 -tf 9
// ex23 -m ../data/disc-nurbs.mesh -p 3 -r 3 -dt 0.01 -tf 9 -d 0.02
// ex23 -m ../data/periodic-square.mesh -p 3 -r 3 -dt 0.025 -tf 9
// ex23 -m ../data/periodic-cube.mesh -p 0 -o 2 -dt 0.025 -tf 8
//
// Description: This example code solves the time-dependent advection-diffusion
// equation
// du/dt - div(D grad(u)) + v.grad(u) = 0, where
// D is a diffusion coefficient,
// v is a given fluid velocity, and
// u0(x)=u(0,x) is a given initial condition.
//
// The example demonstrates the use of Discontinuous Galerkin (DG)
// bilinear forms in MFEM (face integrators), the use of explicit,
// implicit, and implicit-explicit ODE time integrators, the
// definition of periodic boundary conditions through periodic
// meshes, as well as the use of GLVis for persistent
// visualization of a time-evolving solution. The saving of
// time-dependent data files for external visualization with
// VisIt (visit.llnl.gov) is also illustrated.
//
// This example is a merger of examples 9 and 14.
#include "mfem.hpp"
#include <fstream>
#include <iostream>
using namespace std;
using namespace mfem;
// Choice for the problem setup. The fluid velocity, initial condition and
// boundary condition are chosen based on this parameter.
int problem;
// Velocity coefficient
void velocity_function(const Vector &x, Vector &v);
// Initial condition
double u0_function(const Vector &x);
// Mesh bounding box
Vector bb_min, bb_max;
/** A time-dependent operator for the right-hand side of the ODE for use with
explicit ODE solvers. The DG weak form of du/dt = div(D grad(u))-v.grad(u) is
M du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = M^{-1} (-S u + K u + b), and this class is used to compute the RHS
and perform the solve for du/dt. */
class EX_Evolution : public TimeDependentOperator
{
private:
SparseMatrix &M, &S, &K;
const Vector &b;
DSmoother M_prec;
CGSolver M_solver;
mutable Vector z;
void initA(double dt);
public:
EX_Evolution(SparseMatrix &_M, SparseMatrix &_S, SparseMatrix &_K,
const Vector &_b);
virtual void Mult(const Vector &x, Vector &y) const;
virtual ~EX_Evolution() {}
};
/** A time-dependent operator for the right-hand side of the ODE for use with
implicit ODE solvers. The DG weak form of du/dt = div(D grad(u))-v.grad(u) is
[M + dt (S - K)] du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = A^{-1} (-S u + K u + b) with A = [M + dt (S - K)], and this class is
used to perform the fully implicit solve for du/dt. */
class IM_Evolution : public TimeDependentOperator
{
private:
SparseMatrix &M, &S, &K;
SparseMatrix *A;
const Vector &b;
DSmoother M_prec;
CGSolver M_solver;
DSmoother *A_prec;
GMRESSolver *A_solver;
double dt;
mutable Vector z;
void initA(double dt);
public:
IM_Evolution(SparseMatrix &_M, SparseMatrix &_S, SparseMatrix &_K,
const Vector &_b);
virtual void Mult(const Vector &x, Vector &y) const;
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &y);
virtual ~IM_Evolution() { delete A_solver; delete A_prec; delete A; }
};
/** A time-dependent operator for the right-hand side of the ODE for use with
IMEX (Implicit-Explicit) ODE solvers. The DG weak form of
du/dt = div(D grad(u))-v.grad(u) is
[M + dt S] du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = A^{-1} (-S u + K u + b) with A = [M + dt (S - K)], and this class is
used to perform the implicit or explicit solve for du/dt. */
class IMEX_Evolution : public TimeDependentOperator
{
private:
SparseMatrix &M, &S, &K;
SparseMatrix *A;
const Vector &b;
DSmoother M_prec;
CGSolver M_solver;
DSmoother *A_prec;
CGSolver *A_solver;
double dt;
mutable Vector z;
void initA(double dt);
public:
IMEX_Evolution(SparseMatrix &_M, SparseMatrix &_S, SparseMatrix &_K,
const Vector &_b);
virtual void ExplicitMult(const Vector &x, Vector &y) const;
virtual void Mult(const Vector &x, Vector &y) const;
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &y);
virtual ~IMEX_Evolution() { delete A_solver; delete A_prec; delete A; }
};
int main(int argc, char *argv[])
{
// 1. Parse command-line options.
problem = 0;
const char *mesh_file = "../data/periodic-hexagon.mesh";
int ref_levels = 2;
int order = 3;
int ode_solver_type = 12;
double t_final = 10.0;
double d_coef = 0.01;
double dt = 0.01;
double sigma = -1.0;
double kappa = -1.0;
bool visualization = true;
bool visit = false;
bool binary = false;
int vis_steps = 5;
int precision = 8;
cout.precision(precision);
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
"Mesh file to use.");
args.AddOption(&problem, "-p", "--problem",
"Problem setup to use. See options in velocity_function().");
args.AddOption(&ref_levels, "-r", "--refine",
"Number of times to refine the mesh uniformly.");
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver: 1 - Forward Euler, 2 - RK2, 3 - RK3 SSP,"
" 4 - RK4, 5 - Generalized Alpha,\n\t"
"11 - Backward Euler, 12 - SDIRK2, 13 - SDIRK3,\n\t"
"22 - Implicit Midpoint, 23 SDIRK23, 24 - SDIRK34,\n\t"
"31 - IMEX BE/FE, 32 - IMEX RK2.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
"Time step.");
args.AddOption(&d_coef, "-d", "--diff-coef",
"Diffusion coefficient.");
args.AddOption(&sigma, "-s", "--sigma",
"One of the two DG penalty parameters, typically +1/-1."
" See the documentation of class DGDiffusionIntegrator.");
args.AddOption(&kappa, "-k", "--kappa",
"One of the two DG penalty parameters, should be positive."
" Negative values are replaced with (order+1)^2.");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
"Enable or disable GLVis visualization.");
args.AddOption(&visit, "-visit", "--visit-datafiles", "-no-visit",
"--no-visit-datafiles",
"Save data files for VisIt (visit.llnl.gov) visualization.");
args.AddOption(&binary, "-binary", "--binary-datafiles", "-ascii",
"--ascii-datafiles",
"Use binary (Sidre) or ascii format for VisIt data files.");
args.AddOption(&vis_steps, "-vs", "--visualization-steps",
"Visualize every n-th timestep.");
args.Parse();
if (!args.Good())
{
args.PrintUsage(cout);
return 1;
}
if (kappa < 0)
{
kappa = (order+1)*(order+1);
}
args.PrintOptions(cout);
// 2. Define the ODE solver used for time integration. Several explicit
// Runge-Kutta methods are available.
ODESolver *ode_solver = NULL;
switch (ode_solver_type)
{
// Explicit methods
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 5: ode_solver = new GeneralizedAlphaSolver(0.5); break;
// Implicit L-stable methods
case 11: ode_solver = new BackwardEulerSolver; break;
case 12: ode_solver = new SDIRK23Solver(2); break;
case 13: ode_solver = new SDIRK33Solver; break;
// Implicit A-stable methods (not L-stable)
case 22: ode_solver = new ImplicitMidpointSolver; break;
case 23: ode_solver = new SDIRK23Solver; break;
case 24: ode_solver = new SDIRK34Solver; break;
// Implicit-Explicit methods
case 31: ode_solver = new IMEX_BE_FE; break;
case 32: ode_solver = new IMEXRK2; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 3;
}
// 3. Read the serial mesh from the given mesh file on all processors. We can
// handle geometrically periodic meshes in this code.
Mesh mesh(mesh_file, 1, 1);
int dim = mesh.Dimension();
// 4. Refine the mesh in serial to increase the resolution. In this example
// we do 'ser_ref_levels' of uniform refinement, where 'ser_ref_levels' is
// a command-line parameter. If the mesh is of NURBS type, we convert it
// to a (piecewise-polynomial) high-order mesh.
for (int lev = 0; lev < ref_levels; lev++)
{
mesh.UniformRefinement();
}
if (mesh.NURBSext)
{
mesh.SetCurvature(max(order, 1));
}
mesh.GetBoundingBox(bb_min, bb_max, max(order, 1));
// 5. Define the parallel discontinuous DG finite element space on the
// parallel refined mesh of the given polynomial order.
DG_FECollection fec(order, dim);
FiniteElementSpace fes(&mesh, &fec);
cout << "Number of unknowns: " << fes.GetVSize() << endl;
// 6. Set up and assemble the parallel bilinear and linear forms (and the
// parallel hypre matrices) corresponding to the DG discretization. The
// DGTraceIntegrator involves integrals over mesh interior faces.
ConstantCoefficient diff_coef(d_coef);
VectorFunctionCoefficient velocity(dim, velocity_function);
FunctionCoefficient u0(u0_function);
BilinearForm m(&fes);
m.AddDomainIntegrator(new MassIntegrator);
BilinearForm s(&fes);
s.AddDomainIntegrator(new DiffusionIntegrator(diff_coef));
s.AddInteriorFaceIntegrator(new DGDiffusionIntegrator(diff_coef, sigma,
kappa));
s.AddBdrFaceIntegrator(new DGDiffusionIntegrator(diff_coef, sigma, kappa));
BilinearForm k(&fes);
k.AddDomainIntegrator(new ConvectionIntegrator(velocity, -1.0));
k.AddInteriorFaceIntegrator(
new TransposeIntegrator(new DGTraceIntegrator(velocity, 1.0, -0.5)));
k.AddBdrFaceIntegrator(
new TransposeIntegrator(new DGTraceIntegrator(velocity, 1.0, -0.5)));
LinearForm b(&fes);
b.AddBdrFaceIntegrator(
new DGDirichletLFIntegrator(u0, diff_coef, sigma, kappa));
int skip_zeros = 0;
m.Assemble(skip_zeros);
m.Finalize(skip_zeros);
s.Assemble(skip_zeros);
s.Finalize(skip_zeros);
k.Assemble(skip_zeros);
k.Finalize(skip_zeros);
b.Assemble();
// 7. Define the initial conditions, save the corresponding grid function to
// a file and (optionally) save data in the VisIt format and initialize
// GLVis visualization.
GridFunction u(&fes);
u.ProjectCoefficient(u0);
{
ofstream omesh("ex23.mesh");
omesh.precision(precision);
mesh.Print(omesh);
ofstream osol("ex23-init.gf");
osol.precision(precision);
u.Save(osol);
}
// Create data collection for solution output: either VisItDataCollection for
// ascii data files, or SidreDataCollection for binary data files.
DataCollection *dc = NULL;
if (visit)
{
if (binary)
{
#ifdef MFEM_USE_SIDRE
dc = new SidreDataCollection("Example23", &mesh);
#else
MFEM_ABORT("Must build with MFEM_USE_SIDRE=YES for binary output.");
#endif
}
else
{
dc = new VisItDataCollection("Example23", &mesh);
dc->SetPrecision(precision);
}
dc->RegisterField("solution", &u);
dc->SetCycle(0);
dc->SetTime(0.0);
dc->Save();
}
socketstream sout;
if (visualization)
{
char vishost[] = "localhost";
int visport = 19916;
sout.open(vishost, visport);
if (!sout)
{
cout << "Unable to connect to GLVis server at "
<< vishost << ':' << visport << endl;
visualization = false;
cout << "GLVis visualization disabled.\n";
}
else
{
sout.precision(precision);
sout << "solution\n" << mesh << u;
sout << "pause\n";
sout << flush;
cout << "GLVis visualization paused."
<< " Press space (in the GLVis window) to resume it.\n";
}
}
// 8. Define the time-dependent evolution operator describing the ODE
// right-hand side, and perform time-integration (looping over the time
// iterations, ti, with a time-step dt).
TimeDependentOperator *adv = NULL;
if (ode_solver_type < 10)
{
adv = new EX_Evolution(m.SpMat(), s.SpMat(), k.SpMat(), b);
}
else if (ode_solver_type < 30)
{
adv = new IM_Evolution(m.SpMat(), s.SpMat(), k.SpMat(), b);
}
else
{
adv = new IMEX_Evolution(m.SpMat(), s.SpMat(), k.SpMat(), b);
}
double t = 0.0;
adv->SetTime(t);
ode_solver->Init(*adv);
int n_steps = (int)ceil(t_final / dt);
double dt_real = t_final / n_steps;
for (int ti = 0; ti < n_steps; )
{
ode_solver->Step(u, t, dt_real);
ti++;
if (ti % vis_steps == 0 || ti == n_steps)
{
cout << "time step: " << ti << ", time: " << t << endl;
if (visualization)
{
sout << "solution\n" << mesh << u << flush;
}
if (visit)
{
dc->SetCycle(ti);
dc->SetTime(t);
dc->Save();
}
}
}
// 9. Save the final solution in parallel. This output can be viewed later
// using GLVis: "glvis -np <np> -m ex23-mesh -g ex23-final".
{
ofstream osol("ex23-final.gf");
osol.precision(precision);
u.Save(osol);
}
// 10. Free the used memory.
delete ode_solver;
delete adv;
delete dc;
return 0;
}
// Implementation of class EX_Evolution
EX_Evolution::EX_Evolution(SparseMatrix &_M, SparseMatrix &_S,
SparseMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), b(_b), z(_M.Height())
{
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void EX_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
K.Mult(x, z);
S.AddMult(x, z, -1.0);
z += b;
M_solver.Mult(z, y);
}
// Implementation of class IM_Evolution
IM_Evolution::IM_Evolution(SparseMatrix &_M, SparseMatrix &_S,
SparseMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), A(NULL), b(_b),
A_prec(NULL), A_solver(NULL), dt(-1.0), z(_M.Height())
{
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void IM_Evolution::initA(double _dt)
{
if (fabs(dt - _dt) > 1e-4 * _dt)
{
delete A_solver;
delete A_prec;
delete A;
SparseMatrix * SK = Add(1.0, S, -1.0, K);
A = Add(1.0, M, _dt, *SK);
delete SK;
dt = _dt;
A_prec = new DSmoother(*A);
A_solver = new GMRESSolver;
A_solver->SetOperator(*A);
A_solver->SetPreconditioner(*A_prec);
A_solver->iterative_mode = false;
A_solver->SetRelTol(1e-9);
A_solver->SetAbsTol(0.0);
A_solver->SetMaxIter(100);
A_solver->SetPrintLevel(0);
}
}
void IM_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
K.Mult(x, z);
S.AddMult(x, z, -1.0);
z += b;
M_solver.Mult(z, y);
}
void IM_Evolution::ImplicitSolve(const double _dt, const Vector &x, Vector &y)
{
this->initA(_dt);
// y = (M + dt S - dt K)^{-1} (-S x + K x + b)
K.Mult(x, z);
S.AddMult(x, z, -1.0);
z += b;
A_solver->Mult(z, y);
}
// Implementation of class IMEX_Evolution
IMEX_Evolution::IMEX_Evolution(SparseMatrix &_M, SparseMatrix &_S,
SparseMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), A(NULL), b(_b),
A_prec(NULL), A_solver(NULL), dt(-1.0), z(_M.Height())
{
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void IMEX_Evolution::initA(double _dt)
{
if (fabs(dt - _dt) > 1e-4 * _dt)
{
delete A_solver;
delete A_prec;
delete A;
A = Add(_dt, S, 1.0, M); // A = M + dt * S
dt = _dt;
A_prec = new DSmoother(*A);
A_solver = new CGSolver;
A_solver->SetOperator(*A);
A_solver->SetPreconditioner(*A_prec);
A_solver->iterative_mode = false;
A_solver->SetRelTol(1e-9);
A_solver->SetAbsTol(0.0);
A_solver->SetMaxIter(100);
A_solver->SetPrintLevel(0);
}
}
void IMEX_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
K.Mult(x, z);
S.AddMult(x, z, -1.0);
z += b;
M_solver.Mult(z, y);
}
void IMEX_Evolution::ExplicitMult(const Vector &x, Vector &y) const
{
// y = M^{-1} (K x + b)
K.Mult(x, z);
z += b;
M_solver.Mult(z, y);
}
void IMEX_Evolution::ImplicitSolve(const double _dt, const Vector &x, Vector &y)
{
this->initA(_dt);
// y = (M + dt S)^{-1} (-S x + b)
S.Mult(x, z);
z *= -1.0;
z += b;
A_solver->Mult(z, y);
}
// Velocity coefficient
void velocity_function(const Vector &x, Vector &v)
{
int dim = x.Size();
// map to the reference [-1,1] domain
Vector X(dim);
for (int i = 0; i < dim; i++)
{
double center = (bb_min[i] + bb_max[i]) * 0.5;
X(i) = 2 * (x(i) - center) / (bb_max[i] - bb_min[i]);
}
switch (problem)
{
case 0:
{
// Translations in 1D, 2D, and 3D
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = sqrt(2./3.); v(1) = sqrt(1./3.); break;
case 3: v(0) = sqrt(3./6.); v(1) = sqrt(2./6.); v(2) = sqrt(1./6.);
break;
}
break;
}
case 1:
case 2:
{
// Clockwise rotation in 2D around the origin
const double w = M_PI/2;
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = w*X(1); v(1) = -w*X(0); break;
case 3: v(0) = w*X(1); v(1) = -w*X(0); v(2) = 0.0; break;
}
break;
}
case 3:
{
// Clockwise twisting rotation in 2D around the origin
const double w = M_PI/2;
double d = max((X(0)+1.)*(1.-X(0)),0.) * max((X(1)+1.)*(1.-X(1)),0.);
d = d*d;
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = d*w*X(1); v(1) = -d*w*X(0); break;
case 3: v(0) = d*w*X(1); v(1) = -d*w*X(0); v(2) = 0.0; break;
}
break;
}
}
}
// Initial condition
double u0_function(const Vector &x)
{
int dim = x.Size();
// map to the reference [-1,1] domain
Vector X(dim);
for (int i = 0; i < dim; i++)
{
double center = (bb_min[i] + bb_max[i]) * 0.5;
X(i) = 2 * (x(i) - center) / (bb_max[i] - bb_min[i]);
}
switch (problem)
{
case 0:
case 1:
{
switch (dim)
{
case 1:
return exp(-40.*pow(X(0)-0.5,2));
case 2:
case 3:
{
double rx = 0.45, ry = 0.25, cx = 0., cy = -0.2, w = 10.;
if (dim == 3)
{
const double s = (1. + 0.25*cos(2*M_PI*X(2)));
rx *= s;
ry *= s;
}
return ( erfc(w*(X(0)-cx-rx))*erfc(-w*(X(0)-cx+rx)) *
erfc(w*(X(1)-cy-ry))*erfc(-w*(X(1)-cy+ry)) )/16;
}
}
}
case 2:
{
double x_ = X(0), y_ = X(1), rho, phi;
rho = hypot(x_, y_);
phi = atan2(y_, x_);
return pow(sin(M_PI*rho),2)*sin(3*phi);
}
case 3:
{
const double f = M_PI;
return sin(f*X(0))*sin(f*X(1));
}
}
return 0.0;
}
// Inflow boundary condition (zero for the problems considered in this example)
double inflow_function(const Vector &x)
{
switch (problem)
{
case 0:
case 1:
case 2:
case 3: return 0.0;
}
return 0.0;
}
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// MFEM Example 23 - Parallel Version
//
// Compile with: make ex23p
//
// Sample runs:
// mpirun -np 4 ex23p -m ../data/periodic-segment.mesh -p 0 -s 2 -dt 0.001 -vs 50
// mpirun -np 4 ex23p -m ../data/periodic-segment.mesh -p 0 -s 12 -dt 0.01
// mpirun -np 4 ex23p -m ../data/periodic-segment.mesh -p 0 -s 22 -dt 0.01
// mpirun -np 4 ex23p -m ../data/periodic-segment.mesh -p 0 -s 32 -dt 0.005 -vs 10
// mpirun -np 4 ex23p -m ../data/periodic-square.mesh -p 0 -dt 0.01
// mpirun -np 4 ex23p -m ../data/periodic-square.mesh -p 0 -s 32 -dt 0.01
// mpirun -np 4 ex23p -m ../data/periodic-hexagon.mesh -p 0 -d 0.001 -s 12 -dt 0.02
// mpirun -np 4 ex23p -m ../data/periodic-hexagon.mesh -p 0 -d 0.001 -s 32 -dt 0.009 -vs 10
// mpirun -np 4 ex23p -m ../data/periodic-square.mesh -p 1 -dt 0.01 -tf 9
// mpirun -np 4 ex23p -m ../data/periodic-hexagon.mesh -p 1 -dt 0.01 -tf 9
// mpirun -np 4 ex23p -m ../data/amr-quad.mesh -p 1 -dt 0.01 -tf 9 -vs 2
// mpirun -np 4 ex23p -m ../data/disc-nurbs.mesh -p 1 -rp 1 -dt 0.01 -tf 9
// mpirun -np 4 ex23p -m ../data/disc-nurbs.mesh -p 2 -rp 1 -dt 0.01 -tf 9
// mpirun -np 4 ex23p -m ../data/disc-nurbs.mesh -p 3 -rp 1 -dt 0.01 -tf 9 -d 0.02
// mpirun -np 4 ex23p -m ../data/periodic-square.mesh -p 3 -rp 1 -dt 0.025 -tf 9
// mpirun -np 4 ex23p -m ../data/periodic-cube.mesh -p 0 -o 2 -dt 0.025 -tf 8
//
// Description: This example code solves the time-dependent advection-diffusion
// equation
// du/dt - div(D grad(u)) + v.grad(u) = 0, where
// D is a diffusion coefficient,
// v is a given fluid velocity, and
// u0(x)=u(0,x) is a given initial condition.
//
// The example demonstrates the use of Discontinuous Galerkin (DG)
// bilinear forms in MFEM (face integrators), the use of explicit,
// implicit, and implicit-explicit ODE time integrators, the
// definition of periodic boundary conditions through periodic
// meshes, as well as the use of GLVis for persistent
// visualization of a time-evolving solution. The saving of
// time-dependent data files for external visualization with
// VisIt (visit.llnl.gov) is also illustrated.
//
// This example is a merger of examples 9 and 14.
#include "mfem.hpp"
#include <fstream>
#include <iostream>
using namespace std;
using namespace mfem;
// Choice for the problem setup. The fluid velocity, initial condition and
// boundary condition are chosen based on this parameter.
int problem;
// Velocity coefficient
void velocity_function(const Vector &x, Vector &v);
// Initial condition
double u0_function(const Vector &x);
// Mesh bounding box
Vector bb_min, bb_max;
/** A time-dependent operator for the right-hand side of the ODE for use with
explicit ODE solvers. The DG weak form of du/dt = div(D grad(u))-v.grad(u) is
M du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = M^{-1} (-S u + K u + b), and this class is used to compute the RHS
and perform the solve for du/dt. */
class EX_Evolution : public TimeDependentOperator
{
private:
HypreParMatrix &M, &S, &K;
const Vector &b;
HypreSmoother M_prec;
CGSolver M_solver;
mutable Vector z;
void initA(double dt);
public:
EX_Evolution(HypreParMatrix &_M, HypreParMatrix &_S, HypreParMatrix &_K,
const Vector &_b);
virtual void Mult(const Vector &x, Vector &y) const;
virtual ~EX_Evolution() {}
};
/** A time-dependent operator for the right-hand side of the ODE for use with
implicit ODE solvers. The DG weak form of du/dt = div(D grad(u))-v.grad(u) is
[M + dt (S - K)] du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = A^{-1} (-S u + K u + b) with A = [M + dt (S - K)], and this class is
used to perform the fully implicit solve for du/dt. */
class IM_Evolution : public TimeDependentOperator
{
private:
HypreParMatrix &M, &S, &K;
HypreParMatrix *A;
const Vector &b;
HypreSmoother M_prec;
CGSolver M_solver;
HypreBoomerAMG *A_prec;
GMRESSolver *A_solver;
double dt;
mutable Vector z;
void initA(double dt);
public:
IM_Evolution(HypreParMatrix &_M, HypreParMatrix &_S, HypreParMatrix &_K,
const Vector &_b);
virtual void Mult(const Vector &x, Vector &y) const;
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &y);
virtual ~IM_Evolution() { delete A_solver; delete A_prec; delete A; }
};
/** A time-dependent operator for the right-hand side of the ODE for use with
IMEX (Implicit-Explicit) ODE solvers. The DG weak form of
du/dt = div(D grad(u))-v.grad(u) is
[M + dt S] du/dt = - S u + K u + b, where M, S, and K are the mass,
stiffness, and advection matrices, and b describes sources and the flow on
the boundary.
This can be written as a general ODE,
du/dt = A^{-1} (-S u + K u + b) with A = [M + dt (S - K)], and this class is
used to perform the implicit or explicit solve for du/dt. */
class IMEX_Evolution : public TimeDependentOperator
{
private:
HypreParMatrix &M, &S, &K;
HypreParMatrix *A;
const Vector &b;
HypreSmoother M_prec;
CGSolver M_solver;
HypreBoomerAMG *A_prec;
CGSolver *A_solver;
double dt;
mutable Vector z;
void initA(double dt);
public:
IMEX_Evolution(HypreParMatrix &_M, HypreParMatrix &_S, HypreParMatrix &_K,
const Vector &_b);
virtual void ExplicitMult(const Vector &x, Vector &y) const;
virtual void Mult(const Vector &x, Vector &y) const;
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &y);
virtual ~IMEX_Evolution() { delete A_solver; delete A_prec; delete A; }
};
int main(int argc, char *argv[])
{
// 1. Initialize MPI.
int num_procs, myid;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &num_procs);
MPI_Comm_rank(MPI_COMM_WORLD, &myid);
// 2. Parse command-line options.
problem = 0;
const char *mesh_file = "../data/periodic-hexagon.mesh";
int ser_ref_levels = 2;
int par_ref_levels = 0;
int order = 3;
int ode_solver_type = 12;
double t_final = 10.0;
double d_coef = 0.01;
double dt = 0.01;
double sigma = -1.0;
double kappa = -1.0;
bool visualization = true;
bool visit = false;
bool binary = false;
int vis_steps = 5;
int precision = 8;
cout.precision(precision);
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
"Mesh file to use.");
args.AddOption(&problem, "-p", "--problem",
"Problem setup to use. See options in velocity_function().");
args.AddOption(&ser_ref_levels, "-rs", "--refine-serial",
"Number of times to refine the mesh uniformly in serial.");
args.AddOption(&par_ref_levels, "-rp", "--refine-parallel",
"Number of times to refine the mesh uniformly in parallel.");
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver: 1 - Forward Euler, 2 - RK2, 3 - RK3 SSP,"
" 4 - RK4, 5 - Generalized Alpha,\n\t"
"11 - Backward Euler, 12 - SDIRK2, 13 - SDIRK3,\n\t"
"22 - Implicit Midpoint, 23 SDIRK23, 24 - SDIRK34,\n\t"
"31 - IMEX BE/FE, 32 - IMEX RK2.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
"Time step.");
args.AddOption(&d_coef, "-d", "--diff-coef",
"Diffusion coefficient.");
args.AddOption(&sigma, "-s", "--sigma",
"One of the two DG penalty parameters, typically +1/-1."
" See the documentation of class DGDiffusionIntegrator.");
args.AddOption(&kappa, "-k", "--kappa",
"One of the two DG penalty parameters, should be positive."
" Negative values are replaced with (order+1)^2.");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
"Enable or disable GLVis visualization.");
args.AddOption(&visit, "-visit", "--visit-datafiles", "-no-visit",
"--no-visit-datafiles",
"Save data files for VisIt (visit.llnl.gov) visualization.");
args.AddOption(&binary, "-binary", "--binary-datafiles", "-ascii",
"--ascii-datafiles",
"Use binary (Sidre) or ascii format for VisIt data files.");
args.AddOption(&vis_steps, "-vs", "--visualization-steps",
"Visualize every n-th timestep.");
args.Parse();
if (!args.Good())
{
if (myid == 0)
{
args.PrintUsage(cout);
}
MPI_Finalize();
return 1;
}
if (kappa < 0)
{
kappa = (order+1)*(order+1);
}
if (myid == 0)
{
args.PrintOptions(cout);
}
// 3. Define the ODE solver used for time integration. Several explicit,
// implicitit, and implicit-explicit Runge-Kutta methods are available.
ODESolver *ode_solver = NULL;
switch (ode_solver_type)
{
// Explicit methods
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 5: ode_solver = new GeneralizedAlphaSolver(0.5); break;
// Implicit L-stable methods
case 11: ode_solver = new BackwardEulerSolver; break;
case 12: ode_solver = new SDIRK23Solver(2); break;
case 13: ode_solver = new SDIRK33Solver; break;
// Implicit A-stable methods (not L-stable)
case 22: ode_solver = new ImplicitMidpointSolver; break;
case 23: ode_solver = new SDIRK23Solver; break;
case 24: ode_solver = new SDIRK34Solver; break;
// Implicit-Explicit methods
case 31: ode_solver = new IMEX_BE_FE; break;
case 32: ode_solver = new IMEXRK2; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 3;
}
// 4. Read the serial mesh from the given mesh file on all processors. We can
// handle geometrically periodic meshes in this code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 5. Refine the mesh in serial to increase the resolution. In this example
// we do 'ser_ref_levels' of uniform refinement, where 'ser_ref_levels' is
// a command-line parameter. If the mesh is of NURBS type, we convert it
// to a (piecewise-polynomial) high-order mesh.
for (int lev = 0; lev < ser_ref_levels; lev++)
{
mesh->UniformRefinement();
}
if (mesh->NURBSext)
{
mesh->SetCurvature(max(order, 1));
}
mesh->GetBoundingBox(bb_min, bb_max, max(order, 1));
// 6. Define the parallel mesh by a partitioning of the serial mesh. Refine
// this mesh further in parallel to increase the resolution. Once the
// parallel mesh is defined, the serial mesh can be deleted.
ParMesh *pmesh = new ParMesh(MPI_COMM_WORLD, *mesh);
delete mesh;
for (int lev = 0; lev < par_ref_levels; lev++)
{
pmesh->UniformRefinement();
}
// 7. Define the parallel discontinuous DG finite element space on the
// parallel refined mesh of the given polynomial order.
DG_FECollection fec(order, dim);
ParFiniteElementSpace *fes = new ParFiniteElementSpace(pmesh, &fec);
HYPRE_Int global_vSize = fes->GlobalTrueVSize();
if (myid == 0)
{
cout << "Number of unknowns: " << global_vSize << endl;
}
// 8. Set up and assemble the parallel bilinear and linear forms (and the
// parallel hypre matrices) corresponding to the DG discretization. The
// DGTraceIntegrator involves integrals over mesh interior faces.
ConstantCoefficient diff_coef(d_coef);
VectorFunctionCoefficient velocity(dim, velocity_function);
FunctionCoefficient u0(u0_function);
ParBilinearForm *m = new ParBilinearForm(fes);
m->AddDomainIntegrator(new MassIntegrator);
ParBilinearForm *s = new ParBilinearForm(fes);
s->AddDomainIntegrator(new DiffusionIntegrator(diff_coef));
s->AddInteriorFaceIntegrator(new DGDiffusionIntegrator(diff_coef, sigma,
kappa));
s->AddBdrFaceIntegrator(new DGDiffusionIntegrator(diff_coef, sigma, kappa));
ParBilinearForm *k = new ParBilinearForm(fes);
k->AddDomainIntegrator(new ConvectionIntegrator(velocity, -1.0));
k->AddInteriorFaceIntegrator(
new TransposeIntegrator(new DGTraceIntegrator(velocity, 1.0, -0.5)));
k->AddBdrFaceIntegrator(
new TransposeIntegrator(new DGTraceIntegrator(velocity, 1.0, -0.5)));
ParLinearForm *b = new ParLinearForm(fes);
b->AddBdrFaceIntegrator(
new DGDirichletLFIntegrator(u0, diff_coef, sigma, kappa));
int skip_zeros = 0;
m->Assemble(skip_zeros);
m->Finalize(skip_zeros);
s->Assemble(skip_zeros);
s->Finalize(skip_zeros);
k->Assemble(skip_zeros);
k->Finalize(skip_zeros);
b->Assemble();
HypreParMatrix *M = m->ParallelAssemble();
HypreParMatrix *S = s->ParallelAssemble();
HypreParMatrix *K = k->ParallelAssemble();
HypreParVector *B = b->ParallelAssemble();
// 9. Define the initial conditions, save the corresponding grid function to
// a file and (optionally) save data in the VisIt format and initialize
// GLVis visualization.
ParGridFunction *u = new ParGridFunction(fes);
u->ProjectCoefficient(u0);
HypreParVector *U = u->GetTrueDofs();
{
ostringstream mesh_name, sol_name;
mesh_name << "ex23-mesh." << setfill('0') << setw(6) << myid;
sol_name << "ex23-init." << setfill('0') << setw(6) << myid;
ofstream omesh(mesh_name.str().c_str());
omesh.precision(precision);
pmesh->Print(omesh);
ofstream osol(sol_name.str().c_str());
osol.precision(precision);
u->Save(osol);
}
// Create data collection for solution output: either VisItDataCollection for
// ascii data files, or SidreDataCollection for binary data files.
DataCollection *dc = NULL;
if (visit)
{
if (binary)
{
#ifdef MFEM_USE_SIDRE
dc = new SidreDataCollection("Example23-Parallel", pmesh);
#else
MFEM_ABORT("Must build with MFEM_USE_SIDRE=YES for binary output.");
#endif
}
else
{
dc = new VisItDataCollection("Example23-Parallel", pmesh);
dc->SetPrecision(precision);
// To save the mesh using MFEM's parallel mesh format:
// dc->SetFormat(DataCollection::PARALLEL_FORMAT);
}
dc->RegisterField("solution", u);
dc->SetCycle(0);
dc->SetTime(0.0);
dc->Save();
}
socketstream sout;
if (visualization)
{
char vishost[] = "localhost";
int visport = 19916;
sout.open(vishost, visport);
if (!sout)
{
if (myid == 0)
cout << "Unable to connect to GLVis server at "
<< vishost << ':' << visport << endl;
visualization = false;
if (myid == 0)
{
cout << "GLVis visualization disabled.\n";
}
}
else
{
sout << "parallel " << num_procs << " " << myid << "\n";
sout.precision(precision);
sout << "solution\n" << *pmesh << *u;
sout << "pause\n";
sout << flush;
if (myid == 0)
cout << "GLVis visualization paused."
<< " Press space (in the GLVis window) to resume it.\n";
}
}
// 10. Define the time-dependent evolution operator describing the ODE
// right-hand side, and perform time-integration (looping over the time
// iterations, ti, with a time-step dt).
TimeDependentOperator *adv = NULL;
if (ode_solver_type < 10)
{
adv = new EX_Evolution(*M, *S, *K, *B);
}
else if (ode_solver_type < 30)
{
adv = new IM_Evolution(*M, *S, *K, *B);
}
else
{
adv = new IMEX_Evolution(*M, *S, *K, *B);
}
double t = 0.0;
adv->SetTime(t);
ode_solver->Init(*adv);
int n_steps = (int)ceil(t_final / dt);
double dt_real = t_final / n_steps;
for (int ti = 0; ti < n_steps; )
{
ode_solver->Step(*U, t, dt_real);
ti++;
if (ti % vis_steps == 0 || ti == n_steps)
{
if (myid == 0)
{
cout << "time step: " << ti << ", time: " << t << endl;
}
// 11. Extract the parallel grid function corresponding to the finite
// element approximation U (the local solution on each processor).
*u = *U;
if (visualization)
{
sout << "parallel " << num_procs << " " << myid << "\n";
sout << "solution\n" << *pmesh << *u << flush;
}
if (visit)
{
dc->SetCycle(ti);
dc->SetTime(t);
dc->Save();
}
}
}
// 12. Save the final solution in parallel. This output can be viewed later
// using GLVis: "glvis -np <np> -m ex23-mesh -g ex23-final".
{
*u = *U;
ostringstream sol_name;
sol_name << "ex23-final." << setfill('0') << setw(6) << myid;
ofstream osol(sol_name.str().c_str());
osol.precision(precision);
u->Save(osol);
}
// 13. Free the used memory.
delete U;
delete u;
delete B;
delete b;
delete K;
delete k;
delete S;
delete s;
delete M;
delete m;
delete fes;
delete pmesh;
delete ode_solver;
delete adv;
delete dc;
MPI_Finalize();
return 0;
}
// Implementation of class EX_Evolution
EX_Evolution::EX_Evolution(HypreParMatrix &_M, HypreParMatrix &_S,
HypreParMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), b(_b),
M_prec(M), M_solver(M.GetComm()), z(M.Height())
{
M_prec.SetType(HypreSmoother::Jacobi);
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void EX_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
S.Mult(-1.0, x, 0.0, z);
K.Mult(1.0, x, 1.0, z);
z += b;
M_solver.Mult(z, y);
}
// Implementation of class IM_Evolution
IM_Evolution::IM_Evolution(HypreParMatrix &_M, HypreParMatrix &_S,
HypreParMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), A(NULL), b(_b),
M_prec(M), M_solver(M.GetComm()),
A_prec(NULL), A_solver(NULL), dt(-1.0), z(M.Height())
{
M_prec.SetType(HypreSmoother::Jacobi);
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void IM_Evolution::initA(double _dt)
{
if (fabs(dt - _dt) > 1e-4 * _dt)
{
delete A_solver;
delete A_prec;
delete A;
HypreParMatrix * SK = Add(1.0, S, -1.0, K); // SK = S - K
A = Add(_dt, *SK, 1.0, M); // A = M + dt * (S - K)
delete SK;
dt = _dt;
A_prec = new HypreBoomerAMG(*A);
A_solver = new GMRESSolver(A->GetComm());
A_solver->SetOperator(*A);
A_solver->SetPreconditioner(*A_prec);
A_solver->iterative_mode = false;
A_solver->SetRelTol(1e-9);
A_solver->SetAbsTol(0.0);
A_solver->SetMaxIter(100);
A_solver->SetPrintLevel(0);
}
}
void IM_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
S.Mult(-1.0, x, 0.0, z);
K.Mult(1.0, x, 1.0, z);
z += b;
M_solver.Mult(z, y);
}
void IM_Evolution::ImplicitSolve(const double _dt, const Vector &x, Vector &y)
{
this->initA(_dt);
// y = (M + dt S - dt K)^{-1} (-S x + K x + b)
S.Mult(-1.0, x, 0.0, z);
K.Mult(1.0, x, 1.0, z);
z += b;
A_solver->Mult(z, y);
}
// Implementation of class IMEX_Evolution
IMEX_Evolution::IMEX_Evolution(HypreParMatrix &_M, HypreParMatrix &_S,
HypreParMatrix &_K, const Vector &_b)
: TimeDependentOperator(_M.Height()),
M(_M), S(_S), K(_K), A(NULL), b(_b),
M_prec(M), M_solver(M.GetComm()),
A_prec(NULL), A_solver(NULL), dt(-1.0), z(M.Height())
{
M_prec.SetType(HypreSmoother::Jacobi);
M_solver.SetPreconditioner(M_prec);
M_solver.SetOperator(M);
M_solver.iterative_mode = false;
M_solver.SetRelTol(1e-9);
M_solver.SetAbsTol(0.0);
M_solver.SetMaxIter(100);
M_solver.SetPrintLevel(0);
}
void IMEX_Evolution::initA(double _dt)
{
if (fabs(dt - _dt) > 1e-4 * _dt)
{
delete A_solver;
delete A_prec;
delete A;
A = Add(_dt, S, 1.0, M); // A = M + dt * S
dt = _dt;
A_prec = new HypreBoomerAMG(*A);
A_solver = new CGSolver(A->GetComm());
A_solver->SetOperator(*A);
A_solver->SetPreconditioner(*A_prec);
A_solver->iterative_mode = false;
A_solver->SetRelTol(1e-9);
A_solver->SetAbsTol(0.0);
A_solver->SetMaxIter(100);
A_solver->SetPrintLevel(0);
}
}
void IMEX_Evolution::Mult(const Vector &x, Vector &y) const
{
// y = M^{-1} (-S x + K x + b)
S.Mult(-1.0, x, 0.0, z);
K.Mult(1.0, x, 1.0, z);
z += b;
M_solver.Mult(z, y);
}
void IMEX_Evolution::ExplicitMult(const Vector &x, Vector &y) const
{
// y = M^{-1} (K x + b)
K.Mult(1.0, x, 0.0, z);
z += b;
M_solver.Mult(z, y);
}
void IMEX_Evolution::ImplicitSolve(const double _dt, const Vector &x, Vector &y)
{
this->initA(_dt);
// y = (M + dt S)^{-1} (-S x + b)
S.Mult(-1.0, x, 0.0, z);
z += b;
A_solver->Mult(z, y);
}
// Velocity coefficient
void velocity_function(const Vector &x, Vector &v)
{
int dim = x.Size();
// map to the reference [-1,1] domain
Vector X(dim);
for (int i = 0; i < dim; i++)
{
double center = (bb_min[i] + bb_max[i]) * 0.5;
X(i) = 2 * (x(i) - center) / (bb_max[i] - bb_min[i]);
}
switch (problem)
{
case 0:
{
// Translations in 1D, 2D, and 3D
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = sqrt(2./3.); v(1) = sqrt(1./3.); break;
case 3: v(0) = sqrt(3./6.); v(1) = sqrt(2./6.); v(2) = sqrt(1./6.);
break;
}
break;
}
case 1:
case 2:
{
// Clockwise rotation in 2D around the origin
const double w = M_PI/2;
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = w*X(1); v(1) = -w*X(0); break;
case 3: v(0) = w*X(1); v(1) = -w*X(0); v(2) = 0.0; break;
}
break;
}
case 3:
{
// Clockwise twisting rotation in 2D around the origin
const double w = M_PI/2;
double d = max((X(0)+1.)*(1.-X(0)),0.) * max((X(1)+1.)*(1.-X(1)),0.);
d = d*d;
switch (dim)
{
case 1: v(0) = 1.0; break;
case 2: v(0) = d*w*X(1); v(1) = -d*w*X(0); break;
case 3: v(0) = d*w*X(1); v(1) = -d*w*X(0); v(2) = 0.0; break;
}
break;
}
}
}
// Initial condition
double u0_function(const Vector &x)
{
int dim = x.Size();
// map to the reference [-1,1] domain
Vector X(dim);
for (int i = 0; i < dim; i++)
{
double center = (bb_min[i] + bb_max[i]) * 0.5;
X(i) = 2 * (x(i) - center) / (bb_max[i] - bb_min[i]);
}
switch (problem)
{
case 0:
case 1:
{
switch (dim)
{
case 1:
return exp(-40.*pow(X(0)-0.5,2));
case 2:
case 3:
{
double rx = 0.45, ry = 0.25, cx = 0., cy = -0.2, w = 10.;
if (dim == 3)
{
const double s = (1. + 0.25*cos(2*M_PI*X(2)));
rx *= s;
ry *= s;
}
return ( erfc(w*(X(0)-cx-rx))*erfc(-w*(X(0)-cx+rx)) *
erfc(w*(X(1)-cy-ry))*erfc(-w*(X(1)-cy+ry)) )/16;
}
}
}
case 2:
{
double x_ = X(0), y_ = X(1), rho, phi;
rho = hypot(x_, y_);
phi = atan2(y_, x_);
return pow(sin(M_PI*rho),2)*sin(3*phi);
}
case 3:
{
const double f = M_PI;
return sin(f*X(0))*sin(f*X(1));
}
}
return 0.0;
}
+2 -1
View File
@@ -102,7 +102,8 @@ int main(int argc, char *argv[])
// 'ref_levels' to be the largest number that gives a final mesh with no
// more than 1,000 elements.
{
int ref_levels = (int)floor(log(1000./mesh->GetNE())/log(2.)/dim);
int ref_levels =
(int)floor(log(1000./mesh->GetNE())/log(2.)/dim);
for (int l = 0; l < ref_levels; l++)
{
mesh->UniformRefinement();
+12 -11
View File
@@ -49,7 +49,7 @@ int main(int argc, char *argv[])
const char *mesh_file = "../data/star.mesh";
int order = 1;
bool pa = false;
const char *device_config = "cpu";
const char *device = "cpu";
bool visualization = true;
OptionsParser args(argc, argv);
@@ -59,7 +59,7 @@ int main(int argc, char *argv[])
"Finite element order (polynomial degree).");
args.AddOption(&pa, "-pa", "--partial-assembly", "-no-pa",
"--no-partial-assembly", "Enable Partial Assembly.");
args.AddOption(&device_config, "-d", "--device",
args.AddOption(&device, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
@@ -72,19 +72,14 @@ int main(int argc, char *argv[])
}
args.PrintOptions(cout);
// 2. Enable hardware devices such as GPUs, and programming models such as
// CUDA, OCCA, RAJA and OpenMP based on command line options.
Device device(device_config);
device.Print();
// 3. Read the mesh from the given mesh file. We can handle triangular,
// 2. Read the mesh from the given mesh file. We can handle triangular,
// quadrilateral, tetrahedral, hexahedral, surface and volume meshes with
// the same code.
Mesh mesh(mesh_file, 1, 1);
int dim = mesh.Dimension();
int sdim = mesh.SpaceDimension();
// 4. Since a NURBS mesh can currently only be refined uniformly, we need to
// 3. Since a NURBS mesh can currently only be refined uniformly, we need to
// convert it to a piecewise-polynomial curved mesh. First we refine the
// NURBS mesh a bit more and then project the curvature to quadratic Nodes.
if (mesh.NURBSext)
@@ -96,11 +91,15 @@ int main(int argc, char *argv[])
mesh.SetCurvature(2);
}
// 5. Define a finite element space on the mesh. The polynomial order is
// 4. Define a finite element space on the mesh. The polynomial order is
// one (linear) by default, but this can be changed on the command line.
H1_FECollection fec(order, dim);
FiniteElementSpace fespace(&mesh, &fec);
// 5. Set device config parameters from the command line options.
Device::Configure(device);
Device::Print();
// 6. As in Example 1, we set up bilinear and linear forms corresponding to
// the Laplace problem -\Delta u = 1. We don't assemble the discrete
// problem yet, this will be done in the main loop.
@@ -169,7 +168,8 @@ int main(int argc, char *argv[])
x.ProjectBdrCoefficient(zero, ess_bdr);
fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
// 15. Assemble the stiffness matrix.
// 15. Switch to the device and assemble the stiffness matrix.
Device::Enable();
a.Assemble();
// 16. Create the linear system: eliminate boundary conditions, constrain
@@ -204,6 +204,7 @@ int main(int argc, char *argv[])
// 18. After solving the linear system, reconstruct the solution as a
// finite element GridFunction. Constrained nodes are interpolated
// from true DOFs (it may therefore happen that x.Size() >= X.Size()).
Device::Disable();
a.RecoverFEMSolution(X, b, x);
// 19. Send solution by socket to the GLVis server.
+16 -15
View File
@@ -55,7 +55,7 @@ int main(int argc, char *argv[])
const char *mesh_file = "../data/star.mesh";
int order = 1;
bool pa = false;
const char *device_config = "cpu";
const char *device = "cpu";
bool visualization = true;
OptionsParser args(argc, argv);
@@ -65,7 +65,7 @@ int main(int argc, char *argv[])
"Finite element order (polynomial degree).");
args.AddOption(&pa, "-pa", "--partial-assembly", "-no-pa",
"--no-partial-assembly", "Enable Partial Assembly.");
args.AddOption(&device_config, "-d", "--device",
args.AddOption(&device, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
@@ -85,19 +85,14 @@ int main(int argc, char *argv[])
args.PrintOptions(cout);
}
// 3. Enable hardware devices such as GPUs, and programming models such as
// CUDA, OCCA, RAJA and OpenMP based on command line options.
Device device(device_config);
if (myid == 0) { device.Print(); }
// 4. Read the (serial) mesh from the given mesh file on all processors. We
// 3. Read the (serial) mesh from the given mesh file on all processors. We
// can handle triangular, quadrilateral, tetrahedral, hexahedral, surface
// and volume meshes with the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
int sdim = mesh->SpaceDimension();
// 5. Refine the serial mesh on all processors to increase the resolution.
// 4. Refine the serial mesh on all processors to increase the resolution.
// Also project a NURBS mesh to a piecewise-quadratic curved mesh. Make
// sure that the mesh is non-conforming.
if (mesh->NURBSext)
@@ -107,7 +102,7 @@ int main(int argc, char *argv[])
}
mesh->EnsureNCMesh();
// 6. Define a parallel mesh by partitioning the serial mesh.
// 5. Define a parallel mesh by partitioning the serial mesh.
// Once the parallel mesh is defined, the serial mesh can be deleted.
ParMesh pmesh(MPI_COMM_WORLD, *mesh);
delete mesh;
@@ -117,11 +112,15 @@ int main(int argc, char *argv[])
Array<int> ess_bdr(pmesh.bdr_attributes.Max());
ess_bdr = 1;
// 7. Define a finite element space on the mesh. The polynomial order is
// 6. Define a finite element space on the mesh. The polynomial order is
// one (linear) by default, but this can be changed on the command line.
H1_FECollection fec(order, dim);
ParFiniteElementSpace fespace(&pmesh, &fec);
// 7. Set device config parameters from the command line options.
Device::Configure(device);
if (myid == 0) { Device::Print(); }
// 8. As in Example 1p, we set up bilinear and linear forms corresponding to
// the Laplace problem -\Delta u = 1. We don't assemble the discrete
// problem yet, this will be done in the main loop.
@@ -201,10 +200,11 @@ int main(int argc, char *argv[])
fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
b.Assemble();
// 15. Assemble the stiffness matrix. Note that MFEM doesn't care at this
// point that the mesh is nonconforming and parallel. The FE space is
// considered 'cut' along hanging edges/faces, and also across
// processor boundaries.
// 15. Switch to the device and assemble the stiffness matrix. Note that
// MFEM doesn't care at this point that the mesh is nonconforming and
// parallel. The FE space is considered 'cut' along hanging
// edges/faces, and also across processor boundaries.
Device::Enable();
a.Assemble();
// 16. Create the parallel linear system: eliminate boundary conditions.
@@ -232,6 +232,7 @@ int main(int argc, char *argv[])
// 18. Switch back to the host and extract the parallel grid function
// corresponding to the finite element approximation X. This is the
// local solution on each processor.
Device::Disable();
a.RecoverFEMSolution(X, b, x);
// 19. Send the solution by socket to a GLVis server.
+5 -4
View File
@@ -22,9 +22,9 @@ MFEM_LIB_FILE = mfem_is_not_built
-include $(CONFIG_MK)
SEQ_EXAMPLES = ex1 ex2 ex3 ex4 ex5 ex6 ex7 ex8 ex9 ex10 ex14 ex15 ex16 ex17\
ex18 ex19 ex20 ex21
ex18 ex19 ex20 ex22 ex23
PAR_EXAMPLES = ex1p ex2p ex3p ex4p ex5p ex6p ex7p ex8p ex9p ex10p ex11p ex12p\
ex13p ex14p ex15p ex16p ex17p ex18p ex19p ex20p ex21p
ex13p ex14p ex15p ex16p ex17p ex18p ex19p ex20p ex22p ex23p
ifeq ($(MFEM_USE_MPI),NO)
EXAMPLES = $(SEQ_EXAMPLES)
@@ -117,7 +117,7 @@ clean-build:
clean-exec:
@rm -f refined.mesh displaced.mesh mesh.* ex5.mesh
@rm -rf Example5* Example9* Example15* Example16*
@rm -rf Example5* Example9* Example15* Example16* Example23*
@rm -f sphere_refined.* sol.* sol_u.* sol_p.*
@rm -f ex9.mesh ex9-mesh.* ex9-init.* ex9-final.*
@rm -f deformed.* velocity.* elastic_energy.* mode_*
@@ -125,4 +125,5 @@ clean-exec:
@rm -f vortex-mesh.* vortex.mesh vortex-?-init.* vortex-?-final.*
@rm -f deformation.* pressure.*
@rm -f ex20.dat ex20p_?????.dat gnuplot_ex20.inp gnuplot_ex20p.inp
@rm -f ex21*.mesh ex21*.sol ex21p_*.*
@rm -f ex22*.mesh ex22*.sol ex22p_*.*
@rm -f ex23.mesh ex23-mesh.* ex23-init.* ex23-final.*
+9 -58
View File
@@ -27,11 +27,8 @@
// method HyperelasticOperator::ImplicitSolve is the only
// requirement for high-order implicit (SDIRK) time integration.
// If using PETSc to solve the nonlinear problem, use the option
// files provided (see rc_ex10p, rc_ex10p_mf, rc_ex10p_mfop) that
// customize the Newton-Krylov method.
// When option --jfnk is used, PETSc will use a Jacobian-free
// Newton-Krylov method, using a user-defined preconditioner
// constructed with the PetscPreconditionerFactory class.
// file provided (rc_ex10p) that customizes the
// Newton-Krylov method.
//
// We recommend viewing examples 2 and 9 before viewing this
// example.
@@ -89,15 +86,12 @@ protected:
Solver *J_solver;
/// Preconditioner for the Jacobian solve in the Newton method
Solver *J_prec;
/// Preconditioner factory for JFNK
PetscPreconditionerFactory *J_factory;
mutable Vector z; // auxiliary vector
public:
HyperelasticOperator(ParFiniteElementSpace &f, Array<int> &ess_bdr,
double visc, double mu, double K,
bool use_petsc, bool petsc_use_jfnk);
double visc, double mu, double K, bool use_petsc);
/// Compute the right-hand side of the ODE system.
virtual void Mult(const Vector &vx, Vector &dvx_dt) const;
@@ -142,21 +136,8 @@ public:
virtual Operator &GetGradient(const Vector &k) const;
virtual ~ReducedSystemOperator();
};
/** Auxiliary class to provide preconditioners for matrix-free methods */
class PreconditionerFactory : public PetscPreconditionerFactory
{
private:
// const ReducedSystemOperator& op; // unused for now (generates warning)
public:
PreconditionerFactory(const ReducedSystemOperator& op_, const string& name_)
: PetscPreconditionerFactory(name_) /* , op(op_) */ {}
virtual mfem::Solver* NewPreconditioner(const mfem::OperatorHandle&);
virtual ~PreconditionerFactory() {}
};
/** Function representing the elastic energy density for the given hyperelastic
model+deformation. Used in HyperelasticOperator::GetElasticEnergyDensity. */
@@ -206,7 +187,6 @@ int main(int argc, char *argv[])
int vis_steps = 1;
bool use_petsc = true;
const char *petscrc_file = "";
bool petsc_use_jfnk = false;
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
@@ -241,9 +221,6 @@ int main(int argc, char *argv[])
"Use or not PETSc to solve the nonlinear system.");
args.AddOption(&petscrc_file, "-petscopts", "--petscopts",
"PetscOptions file to use.");
args.AddOption(&petsc_use_jfnk, "-jfnk", "--jfnk", "-no-jfnk",
"--no-jfnk",
"Use JFNK with user-defined preconditioner factory.");
args.Parse();
if (!args.Good())
{
@@ -367,8 +344,7 @@ int main(int argc, char *argv[])
// 9. Initialize the hyperelastic operator, the GLVis visualization and print
// the initial energies.
HyperelasticOperator *oper = new HyperelasticOperator(fespace, ess_bdr, visc,
mu, K, use_petsc,
petsc_use_jfnk);
mu, K, use_petsc);
socketstream vis_v, vis_w;
if (visualization)
@@ -544,7 +520,7 @@ Operator &ReducedSystemOperator::GetGradient(const Vector &k) const
add(*v, dt, k, w);
add(*x, dt, w, z);
localJ->Add(dt*dt, H->GetLocalGradient(z));
// if we are using PETSc, the HypreParCSR Jacobian will be converted to
// if we are using PETSc, the HypreParCSR jacobian will be converted to
// PETSc's AIJ on the fly
Jacobian = M->ParallelAssemble(localJ);
delete localJ;
@@ -561,8 +537,7 @@ ReducedSystemOperator::~ReducedSystemOperator()
HyperelasticOperator::HyperelasticOperator(ParFiniteElementSpace &f,
Array<int> &ess_bdr, double visc,
double mu, double K, bool use_petsc,
bool use_petsc_factory)
double mu, double K, bool use_petsc)
: TimeDependentOperator(2*f.TrueVSize(), 0.0), fespace(f),
M(&fespace), S(&fespace), H(&fespace),
viscosity(visc), M_solver(f.GetComm()),
@@ -615,8 +590,6 @@ HyperelasticOperator::HyperelasticOperator(ParFiniteElementSpace &f,
J_minres->SetPreconditioner(*J_prec);
J_solver = J_minres;
J_factory = NULL;
newton_solver.iterative_mode = false;
newton_solver.SetSolver(*J_solver);
newton_solver.SetOperator(*reduced_oper);
@@ -627,20 +600,12 @@ HyperelasticOperator::HyperelasticOperator(ParFiniteElementSpace &f,
}
else
{
// if using PETSc, we create the same solver (Newton + MINRES + Jacobi)
// if using PETSc, we create the same solver (NEWTON+MINRES+Jacobi)
// by command line options (see rc_ex10p)
J_solver = NULL;
J_prec = NULL;
J_factory = NULL;
pnewton_solver = new PetscNonlinearSolver(f.GetComm(),
*reduced_oper);
// we can setup a factory to construct a "physics-based" preconditioner
if (use_petsc_factory)
{
J_factory = new PreconditionerFactory(*reduced_oper, "JFNK preconditioner");
pnewton_solver->SetPreconditionerFactory(J_factory);
}
pnewton_solver->SetPrintLevel(1); // print Newton iterations
pnewton_solver->SetRelTol(rel_tol);
pnewton_solver->SetAbsTol(0.0);
@@ -726,26 +691,12 @@ HyperelasticOperator::~HyperelasticOperator()
{
delete J_solver;
delete J_prec;
delete J_factory;
delete reduced_oper;
delete model;
delete Mmat;
delete pnewton_solver;
}
// This method gets called every time we need a preconditioner "oh"
// contains the PetscParMatrix that wraps the operator constructed in
// the GetGradient() method (see also PetscSolver::SetJacobianType()).
// In this example, we just return a customizable PetscPreconditioner
// using that matrix. However, the OperatorHandle argument can be
// ignored, and any "physics-based" solver can be constructed since we
// have access to the HyperElasticOperator class.
Solver* PreconditionerFactory::NewPreconditioner(const mfem::OperatorHandle& oh)
{
PetscParMatrix *pP;
oh.Get(pP);
return new PetscPreconditioner(*pP,"jfnk_");
}
double ElasticEnergyCoefficient::Eval(ElementTransformation &T,
const IntegrationPoint &ip)
@@ -759,8 +710,8 @@ double ElasticEnergyCoefficient::Eval(ElementTransformation &T,
void InitialDeformation(const Vector &x, Vector &y)
{
// set the initial configuration to be the same as the reference,
// stress free, configuration
// set the initial configuration to be the same as the reference, stress
// free, configuration
y = x;
}
-7
View File
@@ -84,10 +84,6 @@ EX9_E_ARGS := -m ../../data/periodic-hexagon.mesh --usepetsc --petscopts r
EX9_ES_ARGS := -m ../../data/periodic-hexagon.mesh --usepetsc --petscopts rc_ex9p_expl --no-step
EX9_IS_ARGS := -m ../../data/periodic-hexagon.mesh --usepetsc --petscopts rc_ex9p_impl --implicit -tf 0.5
EX10_ARGS := -m ../../data/beam-quad.mesh --usepetsc --petscopts rc_ex10p -tf 30 -s 3 -rs 2 -dt 3
EX10_MF_ARGS := -m ../../data/beam-quad.mesh --usepetsc --petscopts rc_ex10p_mf -tf 6 -s 3 -rs 0 -dt 3
EX10_MFOP_ARGS := -m ../../data/beam-quad.mesh --usepetsc --petscopts rc_ex10p_mfop -tf 6 -s 3 -rs 0 -dt 3
EX10_JFNK_ARGS := -m ../../data/beam-quad.mesh --usepetsc --petscopts rc_ex10p_jfnk --jfnk -tf 6 -s 3 -rs 0 -dt 3
ex1p-test-par: ex1p
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX1_ARGS_W))
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX1_ARGS_P))
@@ -111,9 +107,6 @@ ex9p-test-par: ex9p
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX9_IS_ARGS))
ex10p-test-par: ex10p
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX10_ARGS))
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX10_MF_ARGS))
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX10_MFOP_ARGS))
@$(call mfem-test,$<, $(RUN_MPI), $(TESTNAME),$(EX10_JFNK_ARGS))
# Testing: "test" target and mfem-test* variables are defined in config/test.mk
-5
View File
@@ -1,5 +0,0 @@
# matrix-free Jacobian action, preconditioner constructed using PetscPreconditionerFactory
-snes_monitor
-snes_mf_operator
-ksp_type minres
-jfnk_pc_type jacobi
-4
View File
@@ -1,4 +0,0 @@
# matrix free -> no preconditioner
-snes_monitor
-snes_mf
-ksp_type minres
-5
View File
@@ -1,5 +0,0 @@
# matrix-free Jacobian action, preconditioner constructed from the matrix obtained by the GetGradient() method
-snes_monitor
-snes_mf_operator
-ksp_type minres
-pc_type jacobi
+4 -4
View File
@@ -42,12 +42,12 @@ add_mfem_examples(SUNDIALS_EXAMPLES_SRCS ${PFX} "" test_sundials)
# ctest -R sundials
# Command line options for the tests.
# Example 9: test CVODE with CV_ADAMS (non-stiff implicit) time stepping
set(EX9_COMMON_OPTS -m ../../data/periodic-hexagon.mesh -p 0 -s 7)
# Example 9: test explicit CVODE time stepping
set(EX9_COMMON_OPTS -m ../../data/periodic-hexagon.mesh -p 0 -s 11)
set(EX9_TEST_OPTS ${EX9_COMMON_OPTS} -r 2 -dt 0.0018 -vs 25)
set(EX9P_TEST_OPTS ${EX9_COMMON_OPTS} -rp 1 -dt 0.0009 -vs 50)
# Example 10: test CVODE with CV_BDF (stiff implicit) time stepping
set(EX10_COMMON_OPTS -m ../../data/beam-quad.mesh -o 2 -s 5 -dt 0.15 -tf 6 -vs 10)
# Example 10: test implicit CVODE time stepping
set(EX10_COMMON_OPTS -m ../../data/beam-quad.mesh -o 2 -s 5 -dt 0.15 -vs 10)
set(EX10_TEST_OPTS ${EX10_COMMON_OPTS} -r 2)
set(EX10P_TEST_OPTS ${EX10_COMMON_OPTS} -rp 1)
# Example 16: use the default options
+210 -204
View File
@@ -4,16 +4,16 @@
// Compile with: make ex10
//
// Sample runs:
// ex10 -m ../../data/beam-quad.mesh -r 2 -o 2 -s 12 -dt 0.15 -vs 10
// ex10 -m ../../data/beam-tri.mesh -r 2 -o 2 -s 16 -dt 0.3 -vs 5
// ex10 -m ../../data/beam-hex.mesh -r 1 -o 2 -s 12 -dt 0.2 -vs 5
// ex10 -m ../../data/beam-quad.mesh -r 2 -o 2 -s 5 -dt 0.15 -vs 10
// ex10 -m ../../data/beam-tri.mesh -r 2 -o 2 -s 7 -dt 0.3 -vs 5
// ex10 -m ../../data/beam-hex.mesh -r 1 -o 2 -s 5 -dt 0.2 -vs 5
// ex10 -m ../../data/beam-tri.mesh -r 2 -o 2 -s 2 -dt 3 -nls kinsol
// ex10 -m ../../data/beam-quad.mesh -r 2 -o 2 -s 2 -dt 3 -nls kinsol
// ex10 -m ../../data/beam-hex.mesh -r 1 -o 2 -s 2 -dt 3 -nls kinsol
// ex10 -m ../../data/beam-quad.mesh -r 2 -o 2 -s 14 -dt 0.15 -vs 10
// ex10 -m ../../data/beam-tri.mesh -r 2 -o 2 -s 17 -dt 0.01 -vs 30
// ex10 -m ../../data/beam-hex.mesh -r 1 -o 2 -s 14 -dt 0.15 -vs 10
// ex10 -m ../../data/beam-quad-amr.mesh -r 2 -o 2 -s 12 -dt 0.15 -vs 10
// ex10 -m ../../data/beam-quad.mesh -r 2 -o 2 -s 15 -dt 5e-3 -vs 60
// ex10 -m ../../data/beam-tri.mesh -r 2 -o 2 -s 16 -dt 0.01 -vs 30
// ex10 -m ../../data/beam-hex.mesh -r 1 -o 2 -s 15 -dt 0.01 -vs 30
// ex10 -m ../../data/beam-quad-amr.mesh -r 2 -o 2 -s 5 -dt 0.15 -vs 10
//
// Description: This examples solves a time dependent nonlinear elasticity
// problem of the form dv/dt = H(x) + S v, dx/dt = v, where H is a
@@ -53,6 +53,7 @@ using namespace std;
using namespace mfem;
class ReducedSystemOperator;
class SundialsJacSolver;
/** After spatial discretization, the hyperelastic model can be written as a
* system of ODEs:
@@ -91,17 +92,12 @@ protected:
mutable Vector z; // auxiliary vector
SparseMatrix *grad_H;
SparseMatrix *Jacobian;
double saved_gamma; // saved gamma value from implicit setup
public:
/// Solver type to use in the ImplicitSolve() method, used by SDIRK methods.
enum NonlinearSolverType
{
NEWTON = 0, ///< Use MFEM's plain NewtonSolver
KINSOL = 1 ///< Use SUNDIALS' KINSOL (through MFEM's class KINSolver)
KINSOL = 1 ///< Use SUNDIALS' KINSOL (through MFEM's class KinSolver)
};
HyperelasticOperator(FiniteElementSpace &f, Array<int> &ess_bdr,
@@ -110,41 +106,15 @@ public:
/// Compute the right-hand side of the ODE system.
virtual void Mult(const Vector &vx, Vector &dvx_dt) const;
/** Solve the Backward-Euler equation: k = f(x + dt*k, t), for the unknown k.
This is the only requirement for high-order SDIRK implicit integration.*/
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &k);
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by HyperelasticOperator
M dv/dt = -(H(x) + S*v)
dx/dt = v,
this class facilitates the solution of linear systems of the form
(M + γS) yv + γJ yx = M bv, J=(dH/dx)(x)
- γ yv + yx = bx
for given bv, bx, x, and γ = GetTimeStep(). */
/** Linear solve applicable to the SUNDIALS format.
Solves (Mass - dt J) y = Mass b, where in our case:
Mass = | M 0 | J = | -S -grad_H | y = | v_hat | b = | b_v |
| 0 I | | I 0 | | x_hat | | b_x |
The result replaces the rhs b.
We substitute x_hat = b_x + dt v_hat and solve
(M + dt S + dt^2 grad_H) v_hat = M b_v - dt grad_H b_x. */
/** Setup the linear system. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSetup(const Vector &y, const Vector &fy,
int jok, int *jcur, double gamma);
/** Solve the linear system. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSolve(const Vector &b, Vector &x, double tol);
/** Connect the Jacobian linear system solver (SundialsJacSolver) used by
SUNDIALS' CVODE and ARKODE time integrators to the internal objects
created by HyperelasticOperator. This method is called by the InitSystem
method of SundialsJacSolver. */
void InitSundialsJacSolver(SundialsJacSolver &sjsolv);
double ElasticEnergy(const Vector &x) const;
double KineticEnergy(const Vector &v) const;
@@ -182,6 +152,53 @@ public:
virtual ~ReducedSystemOperator();
};
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by HyperelasticOperator
M dv/dt = -(H(x) + S*v)
dx/dt = v,
this class facilitates the solution of linear systems of the form
(M + γS) yv + γJ yx = M bv, J=(dH/dx)(x)
- γ yv + yx = bx
for given bv, bx, x, and γ = GetTimeStep(). */
class SundialsJacSolver : public SundialsODELinearSolver
{
private:
BilinearForm *M, *S;
NonlinearForm *H;
SparseMatrix *grad_H, *Jacobian;
Solver *J_solver;
public:
SundialsJacSolver()
: M(), S(), H(), grad_H(), Jacobian(), J_solver() { }
/// Connect the solver to the objects created inside HyperelasticOperator.
void SetOperators(BilinearForm &M_, BilinearForm &S_,
NonlinearForm &H_, Solver &solver)
{
M = &M_; S = &S_; H = &H_; J_solver = &solver;
}
/** Linear solve applicable to the SUNDIALS format.
Solves (Mass - dt J) y = Mass b, where in our case:
Mass = | M 0 | J = | -S -grad_H | y = | v_hat | b = | b_v |
| 0 I | | I 0 | | x_hat | | b_x |
The result replaces the rhs b.
We substitute x_hat = b_x + dt v_hat and solve
(M + dt S + dt^2 grad_H) v_hat = M b_v - dt grad_H b_x. */
int InitSystem(void *sundials_mem);
int SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred, int &jac_cur,
Vector &v_temp1, Vector &v_temp2, Vector &v_temp3);
int SolveSystem(void *sundials_mem, Vector &b, const Vector &weight,
const Vector &y_cur, const Vector &f_cur);
int FreeSystem(void *sundials_mem);
};
/** Function representing the elastic energy density for the given hyperelastic
model+deformation. Used in HyperelasticOperator::GetElasticEnergyDensity. */
@@ -226,12 +243,6 @@ int main(int argc, char *argv[])
// Relative and absolute tolerances for CVODE and ARKODE.
const double reltol = 1e-1, abstol = 1e-1;
// Since this example uses the loose tolerances defined above, it is
// necessary to lower the linear solver tolerance for CVODE which is relative
// to the above tolerances.
const double cvode_eps_lin = 1e-4;
// Similarly, the nonlinear tolerance for ARKODE needs to be tightened.
const double arkode_eps_nonlin = 1e-6;
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
@@ -241,24 +252,15 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Backward Euler,\n\t"
"2 - SDIRK2, L-stable\n\t"
"3 - SDIRK3, L-stable\n\t"
"4 - Implicit Midpoint,\n\t"
"5 - SDIRK2, A-stable,\n\t"
"6 - SDIRK3, A-stable,\n\t"
"7 - Forward Euler,\n\t"
"8 - RK2,\n\t"
"9 - RK3 SSP,\n\t"
"10 - RK4,\n\t"
"11 - CVODE implicit BDF, approximate Jacobian,\n\t"
"12 - CVODE implicit BDF, specified Jacobian,\n\t"
"13 - CVODE implicit ADAMS, approximate Jacobian,\n\t"
"14 - CVODE implicit ADAMS, specified Jacobian,\n\t"
"15 - ARKODE implicit, approximate Jacobian,\n\t"
"16 - ARKODE implicit, specified Jacobian,\n\t"
"17 - ARKODE explicit, 4th order.");
"ODE solver: 1 - Backward Euler, 2 - SDIRK2, 3 - SDIRK3,\n\t"
" 4 - CVODE implicit, approximate Jacobian,\n\t"
" 5 - CVODE implicit, specified Jacobian,\n\t"
" 6 - ARKODE implicit, approximate Jacobian,\n\t"
" 7 - ARKODE implicit, specified Jacobian,\n\t"
" 11 - Forward Euler, 12 - RK2,\n\t"
" 13 - RK3 SSP, 14 - RK4,\n\t"
" 15 - CVODE (adaptive order) explicit,\n\t"
" 16 - ARKODE default (4th order) explicit.");
args.AddOption(&nls, "-nls", "--nonlinear-solver",
"Nonlinear systems solver: "
"\"newton\" (plain Newton) or \"kinsol\" (KINSOL).");
@@ -285,19 +287,72 @@ int main(int argc, char *argv[])
}
args.PrintOptions(cout);
// check for vaild ODE solver option
if (ode_solver_type < 1 || ode_solver_type > 17)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 1;
}
// 2. Read the mesh from the given mesh file. We can handle triangular,
// quadrilateral, tetrahedral and hexahedral meshes with the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 3. Setup the nonlinear solver
// 3. Define the ODE solver used for time integration. Several implicit
// singly diagonal implicit Runge-Kutta (SDIRK) methods, as well as
// explicit Runge-Kutta methods are available.
ODESolver *ode_solver;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
SundialsJacSolver *sjsolver = NULL;
switch (ode_solver_type)
{
// Implicit L-stable methods
case 1: ode_solver = new BackwardEulerSolver; break;
case 2: ode_solver = new SDIRK23Solver(2); break;
case 3: ode_solver = new SDIRK33Solver; break;
case 4:
case 5:
cvode = new CVODESolver(CV_BDF, CV_NEWTON);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
if (ode_solver_type == 5)
{
sjsolver = new SundialsJacSolver;
cvode->SetLinearSolver(*sjsolver);
}
ode_solver = cvode; break;
case 6:
case 7:
arkode = new ARKODESolver(ARKODESolver::IMPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 7)
{
// Custom Jacobian inversion.
sjsolver = new SundialsJacSolver;
arkode->SetLinearSolver(*sjsolver);
}
ode_solver = arkode; break;
// Explicit methods
case 11: ode_solver = new ForwardEulerSolver; break;
case 12: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 13: ode_solver = new RK3SSPSolver; break;
case 14: ode_solver = new RK4Solver; break;
case 15:
cvode = new CVODESolver(CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 16:
arkode = new ARKODESolver(ARKODESolver::IMPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
// Implicit A-stable methods (not L-stable)
case 22: ode_solver = new ImplicitMidpointSolver; break;
case 23: ode_solver = new SDIRK23Solver; break;
case 24: ode_solver = new SDIRK34Solver; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
delete mesh;
return 3;
}
map<string,HyperelasticOperator::NonlinearSolverType> nls_map;
nls_map["newton"] = HyperelasticOperator::NEWTON;
nls_map["kinsol"] = HyperelasticOperator::KINSOL;
@@ -384,82 +439,11 @@ int main(int argc, char *argv[])
cout << "initial kinetic energy (KE) = " << ke0 << endl;
cout << "initial total energy (TE) = " << (ee0 + ke0) << endl;
// 8. Define the ODE solver used for time integration. Several implicit
// singly diagonal implicit Runge-Kutta (SDIRK) methods, as well as
// explicit Runge-Kutta methods are available.
double t = 0.0;
oper.SetTime(t);
ode_solver->Init(oper);
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
// Implicit L-stable methods
case 1: ode_solver = new BackwardEulerSolver; break;
case 2: ode_solver = new SDIRK23Solver(2); break;
case 3: ode_solver = new SDIRK33Solver; break;
// Implicit A-stable methods (not L-stable)
case 4: ode_solver = new ImplicitMidpointSolver; break;
case 5: ode_solver = new SDIRK23Solver; break;
case 6: ode_solver = new SDIRK34Solver; break;
// Explicit methods
case 7: ode_solver = new ForwardEulerSolver; break;
case 8: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 9: ode_solver = new RK3SSPSolver; break;
case 10: ode_solver = new RK4Solver; break;
// CVODE BDF
case 11:
case 12:
cvode = new CVODESolver(CV_BDF);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
CVodeSetEpsLin(cvode->GetMem(), cvode_eps_lin);
cvode->SetMaxStep(dt);
if (ode_solver_type == 11)
{
cvode->UseSundialsLinearSolver();
}
ode_solver = cvode; break;
// CVODE Adams
case 13:
case 14:
cvode = new CVODESolver(CV_ADAMS);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
CVodeSetEpsLin(cvode->GetMem(), cvode_eps_lin);
cvode->SetMaxStep(dt);
if (ode_solver_type == 13)
{
cvode->UseSundialsLinearSolver();
}
ode_solver = cvode; break;
// ARKStep Implicit methods
case 15:
case 16:
arkode = new ARKStepSolver(ARKStepSolver::IMPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
ARKStepSetNonlinConvCoef(arkode->GetMem(), arkode_eps_nonlin);
arkode->SetMaxStep(dt);
if (ode_solver_type == 15)
{
arkode->UseSundialsLinearSolver();
}
ode_solver = arkode; break;
// ARKStep Explicit methods
case 17:
arkode = new ARKStepSolver(ARKStepSolver::EXPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 11) { ode_solver->Init(oper); }
// 9. Perform time-integration (looping over the time iterations, ti, with a
// 8. Perform time-integration (looping over the time iterations, ti, with a
// time-step dt).
bool last_step = false;
for (int ti = 1; !last_step; ti++)
@@ -494,7 +478,7 @@ int main(int argc, char *argv[])
}
}
// 10. Save the displaced mesh, the velocity and elastic energy.
// 9. Save the displaced mesh, the velocity and elastic energy.
{
v.SetFromTrueVector(); x.SetFromTrueVector();
GridFunction *nodes = &x;
@@ -513,8 +497,9 @@ int main(int argc, char *argv[])
w.Save(ee_ofs);
}
// 11. Free the used memory.
// 10. Free the used memory.
delete ode_solver;
delete sjsolver;
delete mesh;
return 0;
@@ -594,14 +579,81 @@ ReducedSystemOperator::~ReducedSystemOperator()
}
int SundialsJacSolver::InitSystem(void *sundials_mem)
{
TimeDependentOperator *td_oper = GetTimeDependentOperator(sundials_mem);
HyperelasticOperator *he_oper;
// During development, we use dynamic_cast<> to ensure the setup is correct:
he_oper = dynamic_cast<HyperelasticOperator*>(td_oper);
MFEM_VERIFY(he_oper, "operator is not HyperelasticOperator");
// When the implementation is finalized, we can switch to static_cast<>:
// he_oper = static_cast<HyperelasticOperator*>(td_oper);
he_oper->InitSundialsJacSolver(*this);
return 0;
}
int SundialsJacSolver::SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred,
int &jac_cur, Vector &v_temp1,
Vector &v_temp2, Vector &v_temp3)
{
int sc = y_pred.Size() / 2;
const Vector x(y_pred.GetData() + sc, sc);
double dt = GetTimeStep(sundials_mem);
// J = M + dt*(S + dt*grad(H))
delete Jacobian;
Jacobian = Add(1.0, M->SpMat(), dt, S->SpMat());
grad_H = dynamic_cast<SparseMatrix *>(&H->GetGradient(x));
Jacobian->Add(dt * dt, *grad_H);
J_solver->SetOperator(*Jacobian);
jac_cur = 1;
return 0;
}
int SundialsJacSolver::SolveSystem(void *sundials_mem, Vector &b,
const Vector &weight, const Vector &y_cur,
const Vector &f_cur)
{
int sc = b.Size() / 2;
// Vector x(y_cur.GetData() + sc, sc);
Vector b_v(b.GetData() + 0, sc);
Vector b_x(b.GetData() + sc, sc);
Vector rhs(sc);
double dt = GetTimeStep(sundials_mem);
// rhs = M b_v - dt*grad(H) b_x
grad_H->Mult(b_x, rhs);
rhs *= -dt;
M->AddMult(b_v, rhs);
J_solver->iterative_mode = false;
J_solver->Mult(rhs, b_v);
b_x.Add(dt, b_v);
return 0;
}
int SundialsJacSolver::FreeSystem(void *sundials_mem)
{
delete Jacobian;
return 0;
}
HyperelasticOperator::HyperelasticOperator(FiniteElementSpace &f,
Array<int> &ess_bdr, double visc,
double mu, double K,
NonlinearSolverType nls_type)
: TimeDependentOperator(2*f.GetTrueVSize(), 0.0), fespace(f),
M(&fespace), S(&fespace), H(&fespace),
viscosity(visc), z(height/2),
grad_H(NULL), Jacobian(NULL)
viscosity(visc), z(height/2)
{
const double rel_tol = 1e-8;
const int skip_zero_entries = 0;
@@ -650,24 +702,23 @@ HyperelasticOperator::HyperelasticOperator(FiniteElementSpace &f,
if (nls_type == KINSOL)
{
KINSolver *kinsolver = new KINSolver(KIN_NONE, true);
KinSolver *kinsolver = new KinSolver(KIN_NONE, true);
kinsolver->SetMaxSetupCalls(4);
newton_solver = kinsolver;
newton_solver->SetOperator(*reduced_oper);
newton_solver->SetMaxIter(200);
newton_solver->SetRelTol(rel_tol);
newton_solver->SetPrintLevel(0);
kinsolver->SetMaxSetupCalls(4);
}
else
{
newton_solver = new NewtonSolver();
newton_solver->SetOperator(*reduced_oper);
newton_solver->SetMaxIter(10);
newton_solver->SetRelTol(rel_tol);
newton_solver->SetPrintLevel(-1);
}
newton_solver->SetSolver(*J_solver);
newton_solver->iterative_mode = false;
newton_solver->SetOperator(*reduced_oper);
}
void HyperelasticOperator::Mult(const Vector &vx, Vector &dvx_dt) const
@@ -717,53 +768,9 @@ void HyperelasticOperator::ImplicitSolve(const double dt,
add(v, dt, dv_dt, dx_dt);
}
int HyperelasticOperator::SUNImplicitSetup(const Vector &y,
const Vector &fy, int jok, int *jcur,
double gamma)
void HyperelasticOperator::InitSundialsJacSolver(SundialsJacSolver &sjsolv)
{
int sc = y.Size() / 2;
const Vector x(y.GetData() + sc, sc);
// J = M + dt*(S + dt*grad(H))
if (Jacobian) { delete Jacobian; }
Jacobian = Add(1.0, M.SpMat(), gamma, S.SpMat());
grad_H = dynamic_cast<SparseMatrix *>(&H.GetGradient(x));
Jacobian->Add(gamma * gamma, *grad_H);
// Set Jacobian solve operator
J_solver->SetOperator(*Jacobian);
// Indicate that the Jacobian was updated
*jcur = 1;
// Save gamma for use in solve
saved_gamma = gamma;
// Return success
return 0;
}
int HyperelasticOperator::SUNImplicitSolve(const Vector &b, Vector &x,
double tol)
{
int sc = b.Size() / 2;
Vector b_v(b.GetData() + 0, sc);
Vector b_x(b.GetData() + sc, sc);
Vector x_v(x.GetData() + 0, sc);
Vector x_x(x.GetData() + sc, sc);
Vector rhs(sc);
// rhs = M b_v - dt*grad(H) b_x
grad_H->Mult(b_x, rhs);
rhs *= -saved_gamma;
M.AddMult(b_v, rhs);
J_solver->iterative_mode = false;
J_solver->Mult(rhs, x_v);
add(b_x, saved_gamma, x_v, x_x);
return 0;
sjsolv.SetOperators(M, S, H, *J_solver);
}
double HyperelasticOperator::ElasticEnergy(const Vector &x) const
@@ -785,7 +792,6 @@ void HyperelasticOperator::GetElasticEnergyDensity(
HyperelasticOperator::~HyperelasticOperator()
{
delete Jacobian;
delete newton_solver;
delete J_solver;
delete J_prec;
+229 -219
View File
@@ -4,16 +4,16 @@
// Compile with: make ex10p
//
// Sample runs:
// mpirun -np 4 ex10p -m ../../data/beam-quad.mesh -rp 1 -o 2 -s 12 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-tri.mesh -rp 1 -o 2 -s 16 -dt 0.25 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-hex.mesh -rp 0 -o 2 -s 12 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-quad.mesh -rp 1 -o 2 -s 5 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-tri.mesh -rp 1 -o 2 -s 7 -dt 0.25 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-hex.mesh -rp 0 -o 2 -s 5 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-tri.mesh -rp 1 -o 2 -s 2 -dt 3 -nls kinsol
// mpirun -np 4 ex10p -m ../../data/beam-quad.mesh -rp 1 -o 2 -s 2 -dt 3 -nls kinsol
// mpirun -np 4 ex10p -m ../../data/beam-hex.mesh -rs 1 -o 2 -s 2 -dt 3 -nls kinsol
// mpirun -np 4 ex10p -m ../../data/beam-quad.mesh -rp 1 -o 2 -s 14 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-tri.mesh -rp 1 -o 2 -s 17 -dt 5e-3 -vs 60
// mpirun -np 4 ex10p -m ../../data/beam-hex.mesh -rp 0 -o 2 -s 14 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-quad-amr.mesh -rp 1 -o 2 -s 12 -dt 0.15 -vs 10
// mpirun -np 4 ex10p -m ../../data/beam-quad.mesh -rp 1 -o 2 -s 15 -dt 3e-3 -vs 120
// mpirun -np 4 ex10p -m ../../data/beam-tri.mesh -rp 1 -o 2 -s 16 -dt 5e-3 -vs 60
// mpirun -np 4 ex10p -m ../../data/beam-hex.mesh -rp 0 -o 2 -s 15 -dt 5e-3 -vs 60
// mpirun -np 4 ex10p -m ../../data/beam-quad-amr.mesh -rp 1 -o 2 -s 5 -dt 0.15 -vs 10
//
// Description: This examples solves a time dependent nonlinear elasticity
// problem of the form dv/dt = H(x) + S v, dx/dt = v, where H is a
@@ -53,6 +53,7 @@ using namespace std;
using namespace mfem;
class ReducedSystemOperator;
class SundialsJacSolver;
/** After spatial discretization, the hyperelastic model can be written as a
* system of ODEs:
@@ -93,17 +94,12 @@ protected:
mutable Vector z; // auxiliary vector
const SparseMatrix *local_grad_H;
HypreParMatrix *Jacobian;
double saved_gamma; // saved gamma value from implicit setup
public:
/// Solver type to use in the ImplicitSolve() method, used by SDIRK methods.
enum NonlinearSolverType
{
NEWTON = 0, ///< Use MFEM's plain NewtonSolver
KINSOL = 1 ///< Use SUNDIALS' KINSOL (through MFEM's class KINSolver)
KINSOL = 1 ///< Use SUNDIALS' KINSOL (through MFEM's class KinSolver)
};
HyperelasticOperator(ParFiniteElementSpace &f, Array<int> &ess_bdr,
@@ -112,41 +108,15 @@ public:
/// Compute the right-hand side of the ODE system.
virtual void Mult(const Vector &vx, Vector &dvx_dt) const;
/** Solve the Backward-Euler equation: k = f(x + dt*k, t), for the unknown k.
This is the only requirement for high-order SDIRK implicit integration.*/
virtual void ImplicitSolve(const double dt, const Vector &x, Vector &k);
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by HyperelasticOperator
M dv/dt = -(H(x) + S*v)
dx/dt = v,
this class facilitates the solution of linear systems of the form
(M + γS) yv + γJ yx = M bv, J=(dH/dx)(x)
- γ yv + yx = bx
for given bv, bx, x, and γ = GetTimeStep(). */
/** Linear solve applicable to the SUNDIALS format.
Solves (Mass - dt J) y = Mass b, where in our case:
Mass = | M 0 | J = | -S -grad_H | y = | v_hat | b = | b_v |
| 0 I | | I 0 | | x_hat | | b_x |
The result replaces the rhs b.
We substitute x_hat = b_x + dt v_hat and solve
(M + dt S + dt^2 grad_H) v_hat = M b_v - dt grad_H b_x. */
/** Setup the linear system. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSetup(const Vector &y, const Vector &fy,
int jok, int *jcur, double gamma);
/** Solve the linear system. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSolve(const Vector &b, Vector &x, double tol);
/** Connect the Jacobian linear system solver (SundialsJacSolver) used by
SUNDIALS' CVODE and ARKODE time integrators to the internal objects
created by HyperelasticOperator. This method is called by the InitSystem
method of SundialsJacSolver. */
void InitSundialsJacSolver(SundialsJacSolver &sjsolv);
double ElasticEnergy(const ParGridFunction &x) const;
double KineticEnergy(const ParGridFunction &v) const;
@@ -187,6 +157,57 @@ public:
virtual ~ReducedSystemOperator();
};
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by HyperelasticOperator
M dv/dt = -(H(x) + S*v)
dx/dt = v,
this class facilitates the solution of linear systems of the form
(M + γS) yv + γJ yx = M bv, J=(dH/dx)(x)
- γ yv + yx = bx
for given bv, bx, x, and γ = GetTimeStep(). */
class SundialsJacSolver : public SundialsODELinearSolver
{
private:
ParBilinearForm *M, *S;
ParNonlinearForm *H;
const SparseMatrix *local_grad_H;
HypreParMatrix *Jacobian;
Solver *J_solver;
const Array<int> *ess_tdof_list;
public:
SundialsJacSolver()
: M(), S(), H(), local_grad_H(), Jacobian(), J_solver() { }
/// Connect the solver to the objects created inside HyperelasticOperator.
void SetOperators(ParBilinearForm &M_, ParBilinearForm &S_,
ParNonlinearForm &H_, Solver &solver,
const Array<int> &ess_tdof_list_)
{
M = &M_; S = &S_; H = &H_; J_solver = &solver;
ess_tdof_list = &ess_tdof_list_;
}
/** Linear solve applicable to the SUNDIALS format.
Solves (Mass - dt J) y = Mass b, where in our case:
Mass = | M 0 | J = | -S -grad_H | y = | v_hat | b = | b_v |
| 0 I | | I 0 | | x_hat | | b_x |
The result replaces the rhs b.
We substitute x_hat = b_x + dt v_hat and solve
(M + dt S + dt^2 grad_H) v_hat = M b_v - dt grad_H b_x. */
int InitSystem(void *sundials_mem);
int SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred, int &jac_cur,
Vector &v_temp1, Vector &v_temp2, Vector &v_temp3);
int SolveSystem(void *sundials_mem, Vector &b, const Vector &weight,
const Vector &y_cur, const Vector &f_cur);
int FreeSystem(void *sundials_mem);
};
/** Function representing the elastic energy density for the given hyperelastic
model+deformation. Used in HyperelasticOperator::GetElasticEnergyDensity. */
@@ -238,12 +259,6 @@ int main(int argc, char *argv[])
// Relative and absolute tolerances for CVODE and ARKODE.
const double reltol = 1e-1, abstol = 1e-1;
// Since this example uses the loose tolerances defined above, it is
// necessary to lower the linear solver tolerance for CVODE which is relative
// to the above tolerances.
const double cvode_eps_lin = 1e-4;
// Similarly, the nonlinear tolerance for ARKODE needs to be tightened.
const double arkode_eps_nonlin = 1e-6;
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
@@ -255,24 +270,15 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Backward Euler,\n\t"
"2 - SDIRK2, L-stable\n\t"
"3 - SDIRK3, L-stable\n\t"
"4 - Implicit Midpoint,\n\t"
"5 - SDIRK2, A-stable,\n\t"
"6 - SDIRK3, A-stable,\n\t"
"7 - Forward Euler,\n\t"
"8 - RK2,\n\t"
"9 - RK3 SSP,\n\t"
"10 - RK4,\n\t"
"11 - CVODE implicit BDF, approximate Jacobian,\n\t"
"12 - CVODE implicit BDF, specified Jacobian,\n\t"
"13 - CVODE implicit ADAMS, approximate Jacobian,\n\t"
"14 - CVODE implicit ADAMS, specified Jacobian,\n\t"
"15 - ARKODE implicit, approximate Jacobian,\n\t"
"16 - ARKODE implicit, specified Jacobian,\n\t"
"17 - ARKODE explicit, 4th order.");
"ODE solver: 1 - Backward Euler, 2 - SDIRK2, 3 - SDIRK3,\n\t"
" 4 - CVODE implicit, approximate Jacobian,\n\t"
" 5 - CVODE implicit, specified Jacobian,\n\t"
" 6 - ARKODE implicit, approximate Jacobian,\n\t"
" 7 - ARKODE implicit, specified Jacobian,\n\t"
" 11 - Forward Euler, 12 - RK2,\n\t"
" 13 - RK3 SSP, 14 - RK4,\n\t"
" 15 - CVODE (adaptive order) explicit,\n\t"
" 16 - ARKODE default (4th order) explicit.");
args.AddOption(&nls, "-nls", "--nonlinear-solver",
"Nonlinear systems solver: "
"\"newton\" (plain Newton) or \"kinsol\" (KINSOL).");
@@ -306,24 +312,76 @@ int main(int argc, char *argv[])
args.PrintOptions(cout);
}
// check for vaild ODE solver option
if (ode_solver_type < 1 || ode_solver_type > 17)
{
if (myid == 0)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
}
MPI_Finalize();
return 1;
}
// 3. Read the serial mesh from the given mesh file on all processors. We can
// handle triangular, quadrilateral, tetrahedral and hexahedral meshes
// with the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 4. Nonlinear solver
// 4. Define the ODE solver used for time integration. Several implicit
// singly diagonal implicit Runge-Kutta (SDIRK) methods, as well as
// explicit Runge-Kutta methods are available.
ODESolver *ode_solver;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
SundialsJacSolver *sjsolver = NULL;
switch (ode_solver_type)
{
// Implicit L-stable methods
case 1: ode_solver = new BackwardEulerSolver; break;
case 2: ode_solver = new SDIRK23Solver(2); break;
case 3: ode_solver = new SDIRK33Solver; break;
case 4:
case 5:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_BDF, CV_NEWTON);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
if (ode_solver_type == 5)
{
sjsolver = new SundialsJacSolver;
cvode->SetLinearSolver(*sjsolver); // Custom Jacobian inversion.
}
ode_solver = cvode; break;
case 6:
case 7:
arkode = new ARKODESolver(MPI_COMM_WORLD, ARKODESolver::IMPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 7)
{
sjsolver = new SundialsJacSolver;
arkode->SetLinearSolver(*sjsolver); // Custom Jacobian inversion.
}
ode_solver = arkode; break;
// Explicit methods
case 11: ode_solver = new ForwardEulerSolver; break;
case 12: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 13: ode_solver = new RK3SSPSolver; break;
case 14: ode_solver = new RK4Solver; break;
case 15:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 16:
arkode = new ARKODESolver(MPI_COMM_WORLD, ARKODESolver::EXPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
// Implicit A-stable methods (not L-stable)
case 22: ode_solver = new ImplicitMidpointSolver; break;
case 23: ode_solver = new SDIRK23Solver; break;
case 24: ode_solver = new SDIRK34Solver; break;
default:
if (myid == 0)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
}
delete mesh;
MPI_Finalize();
return 3;
}
map<string,HyperelasticOperator::NonlinearSolverType> nls_map;
nls_map["newton"] = HyperelasticOperator::NEWTON;
nls_map["kinsol"] = HyperelasticOperator::KINSOL;
@@ -333,6 +391,7 @@ int main(int argc, char *argv[])
{
cout << "Unknown type of nonlinear solver: " << nls << endl;
}
delete ode_solver;
delete mesh;
MPI_Finalize();
return 4;
@@ -436,82 +495,11 @@ int main(int argc, char *argv[])
cout << "initial total energy (TE) = " << (ee0 + ke0) << endl;
}
// 10. Define the ODE solver used for time integration. Several implicit
// singly diagonal implicit Runge-Kutta (SDIRK) methods, as well as
// explicit Runge-Kutta methods are available.
double t = 0.0;
oper.SetTime(t);
ode_solver->Init(oper);
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
// Implicit L-stable methods
case 1: ode_solver = new BackwardEulerSolver; break;
case 2: ode_solver = new SDIRK23Solver(2); break;
case 3: ode_solver = new SDIRK33Solver; break;
// Implicit A-stable methods (not L-stable)
case 4: ode_solver = new ImplicitMidpointSolver; break;
case 5: ode_solver = new SDIRK23Solver; break;
case 6: ode_solver = new SDIRK34Solver; break;
// Explicit methods
case 7: ode_solver = new ForwardEulerSolver; break;
case 8: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 9: ode_solver = new RK3SSPSolver; break;
case 10: ode_solver = new RK4Solver; break;
// CVODE BDF
case 11:
case 12:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_BDF);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
CVodeSetEpsLin(cvode->GetMem(), cvode_eps_lin);
cvode->SetMaxStep(dt);
if (ode_solver_type == 11)
{
cvode->UseSundialsLinearSolver();
}
ode_solver = cvode; break;
// CVODE Adams
case 13:
case 14:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
CVodeSetEpsLin(cvode->GetMem(), cvode_eps_lin);
cvode->SetMaxStep(dt);
if (ode_solver_type == 13)
{
cvode->UseSundialsLinearSolver();
}
ode_solver = cvode; break;
// ARKStep Implicit methods
case 15:
case 16:
arkode = new ARKStepSolver(MPI_COMM_WORLD, ARKStepSolver::IMPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
ARKStepSetNonlinConvCoef(arkode->GetMem(), arkode_eps_nonlin);
arkode->SetMaxStep(dt);
if (ode_solver_type == 15)
{
arkode->UseSundialsLinearSolver();
}
ode_solver = arkode; break;
// ARKStep Explicit methods
case 17:
arkode = new ARKStepSolver(MPI_COMM_WORLD, ARKStepSolver::EXPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 11) { ode_solver->Init(oper); }
// 11. Perform time-integration
// 10. Perform time-integration
// (looping over the time iterations, ti, with a time-step dt).
bool last_step = false;
for (int ti = 1; !last_step; ti++)
@@ -550,7 +538,7 @@ int main(int argc, char *argv[])
}
}
// 12. Save the displaced mesh, the velocity and elastic energy.
// 11. Save the displaced mesh, the velocity and elastic energy.
{
v_gf.SetFromTrueVector(); x_gf.SetFromTrueVector();
GridFunction *nodes = &x_gf;
@@ -575,8 +563,9 @@ int main(int argc, char *argv[])
w_gf.Save(ee_ofs);
}
// 13. Free the used memory.
// 12. Free the used memory.
delete ode_solver;
delete sjsolver;
delete pmesh;
MPI_Finalize();
@@ -664,14 +653,92 @@ ReducedSystemOperator::~ReducedSystemOperator()
}
int SundialsJacSolver::InitSystem(void *sundials_mem)
{
TimeDependentOperator *td_oper = GetTimeDependentOperator(sundials_mem);
HyperelasticOperator *he_oper;
// During development, we use dynamic_cast<> to ensure the setup is correct:
he_oper = dynamic_cast<HyperelasticOperator*>(td_oper);
MFEM_VERIFY(he_oper, "operator is not HyperelasticOperator");
// When the implementation is finalized, we can switch to static_cast<>:
// he_oper = static_cast<HyperelasticOperator*>(td_oper);
he_oper->InitSundialsJacSolver(*this);
return 0;
}
int SundialsJacSolver::SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred,
int &jac_cur, Vector &v_temp1,
Vector &v_temp2, Vector &v_temp3)
{
int sc = y_pred.Size() / 2;
const Vector x(y_pred.GetData() + sc, sc);
double dt = GetTimeStep(sundials_mem);
// J = M + dt*(S + dt*grad(H))
delete Jacobian;
SparseMatrix *localJ = Add(1.0, M->SpMat(), dt, S->SpMat());
local_grad_H = &H->GetLocalGradient(x);
localJ->Add(dt*dt, *local_grad_H);
Jacobian = M->ParallelAssemble(localJ);
delete localJ;
HypreParMatrix *Je = Jacobian->EliminateRowsCols(*ess_tdof_list);
delete Je;
J_solver->SetOperator(*Jacobian);
jac_cur = 1;
return 0;
}
int SundialsJacSolver::SolveSystem(void *sundials_mem, Vector &b,
const Vector &weight, const Vector &y_cur,
const Vector &f_cur)
{
int sc = b.Size() / 2;
ParFiniteElementSpace *fes = H->ParFESpace();
// Vector x(y_cur.GetData() + sc, sc);
Vector b_v(b.GetData() + 0, sc);
Vector b_x(b.GetData() + sc, sc);
Vector rhs(sc);
double dt = GetTimeStep(sundials_mem);
// We can assume that b_v and b_x have zeros at essential tdofs.
// rhs = M b_v - dt*grad(H) b_x
ParGridFunction lb_x(fes), lrhs(fes);
lb_x.Distribute(b_x);
local_grad_H->Mult(lb_x, lrhs);
lrhs.ParallelAssemble(rhs);
rhs *= -dt;
M->TrueAddMult(b_v, rhs);
rhs.SetSubVector(*ess_tdof_list, 0.0);
J_solver->iterative_mode = false;
J_solver->Mult(rhs, b_v);
b_x.Add(dt, b_v);
return 0;
}
int SundialsJacSolver::FreeSystem(void *sundials_mem)
{
delete Jacobian;
return 0;
}
HyperelasticOperator::HyperelasticOperator(ParFiniteElementSpace &f,
Array<int> &ess_bdr, double visc,
double mu, double K,
NonlinearSolverType nls_type)
: TimeDependentOperator(2*f.TrueVSize(), 0.0), fespace(f),
M(&fespace), S(&fespace), H(&fespace),
viscosity(visc), M_solver(f.GetComm()), z(height/2),
local_grad_H(NULL), Jacobian(NULL)
viscosity(visc), M_solver(f.GetComm()), z(height/2)
{
const double rel_tol = 1e-8;
const int skip_zero_entries = 0;
@@ -721,24 +788,23 @@ HyperelasticOperator::HyperelasticOperator(ParFiniteElementSpace &f,
if (nls_type == KINSOL)
{
KINSolver *kinsolver = new KINSolver(f.GetComm(), KIN_NONE, true);
KinSolver *kinsolver = new KinSolver(f.GetComm(), KIN_NONE, true);
kinsolver->SetMaxSetupCalls(4);
newton_solver = kinsolver;
newton_solver->SetOperator(*reduced_oper);
newton_solver->SetMaxIter(200);
newton_solver->SetRelTol(rel_tol);
newton_solver->SetPrintLevel(0);
kinsolver->SetMaxSetupCalls(4);
}
else
{
newton_solver = new NewtonSolver(f.GetComm());
newton_solver->SetOperator(*reduced_oper);
newton_solver->SetMaxIter(10);
newton_solver->SetRelTol(rel_tol);
newton_solver->SetPrintLevel(-1);
}
newton_solver->SetSolver(*J_solver);
newton_solver->iterative_mode = false;
newton_solver->SetOperator(*reduced_oper);
}
void HyperelasticOperator::Mult(const Vector &vx, Vector &dvx_dt) const
@@ -792,64 +858,9 @@ void HyperelasticOperator::ImplicitSolve(const double dt,
add(v, dt, dv_dt, dx_dt);
}
int HyperelasticOperator::SUNImplicitSetup(const Vector &y,
const Vector &fy, int jok, int *jcur,
double gamma)
void HyperelasticOperator::InitSundialsJacSolver(SundialsJacSolver &sjsolv)
{
int sc = y.Size() / 2;
const Vector x(y.GetData() + sc, sc);
// J = M + dt*(S + dt*grad(H))
if (Jacobian) { delete Jacobian; }
SparseMatrix *localJ = Add(1.0, M.SpMat(), gamma, S.SpMat());
local_grad_H = &H.GetLocalGradient(x);
localJ->Add(gamma*gamma, *local_grad_H);
Jacobian = M.ParallelAssemble(localJ);
delete localJ;
HypreParMatrix *Je = Jacobian->EliminateRowsCols(ess_tdof_list);
delete Je;
// Set Jacobian solve operator
J_solver->SetOperator(*Jacobian);
// Indicate that the Jacobian was updated
*jcur = 1;
// Save gamma for use in solve
saved_gamma = gamma;
// Return success
return 0;
}
int HyperelasticOperator::SUNImplicitSolve(const Vector &b, Vector &x,
double tol)
{
int sc = b.Size() / 2;
ParFiniteElementSpace *fes = H.ParFESpace();
Vector b_v(b.GetData() + 0, sc);
Vector b_x(b.GetData() + sc, sc);
Vector x_v(x.GetData() + 0, sc);
Vector x_x(x.GetData() + sc, sc);
Vector rhs(sc);
// We can assume that b_v and b_x have zeros at essential tdofs.
// rhs = M b_v - dt*grad(H) b_x
ParGridFunction lb_x(fes), lrhs(fes);
lb_x.Distribute(b_x);
local_grad_H->Mult(lb_x, lrhs);
lrhs.ParallelAssemble(rhs);
rhs *= -saved_gamma;
M.TrueAddMult(b_v, rhs);
rhs.SetSubVector(ess_tdof_list, 0.0);
J_solver->iterative_mode = false;
J_solver->Mult(rhs, x_v);
add(b_x, saved_gamma, x_v, x_x);
return 0;
sjsolv.SetOperators(M, S, H, *J_solver, ess_tdof_list);
}
double HyperelasticOperator::ElasticEnergy(const ParGridFunction &x) const
@@ -875,7 +886,6 @@ void HyperelasticOperator::GetElasticEnergyDensity(
HyperelasticOperator::~HyperelasticOperator()
{
delete Jacobian;
delete newton_solver;
delete J_solver;
delete J_prec;
+165 -124
View File
@@ -7,9 +7,9 @@
// ex16 -m ../../data/inline-tri.mesh
// ex16 -m ../../data/disc-nurbs.mesh -tf 2
// ex16 -s 12 -a 0.0 -k 1.0
// ex16 -s 8 -a 1.0 -k 0.0 -dt 1e-4 -tf 5e-2 -vs 25
// ex16 -s 9 -a 0.5 -k 0.5 -o 4 -dt 1e-4 -tf 2e-2 -vs 25
// ex16 -s 10 -dt 1.0e-4 -tf 4.0e-2 -vs 40
// ex16 -s 1 -a 1.0 -k 0.0 -dt 1e-4 -tf 5e-2 -vs 25
// ex16 -s 2 -a 0.5 -k 0.5 -o 4 -dt 1e-4 -tf 2e-2 -vs 25
// ex16 -s 3 -dt 1.0e-4 -tf 4.0e-2 -vs 40
// ex16 -m ../../data/fichera-q2.mesh
// ex16 -m ../../data/escher.mesh
// ex16 -m ../../data/beam-tet.mesh -tf 10 -dt 0.1
@@ -58,6 +58,7 @@ protected:
SparseMatrix Mmat, Kmat;
SparseMatrix *T; // T = M + dt K
double current_dt;
CGSolver M_solver; // Krylov solver for inverting the mass matrix M
DSmoother M_prec; // Preconditioner for the mass matrix M
@@ -74,30 +75,13 @@ public:
const Vector &u);
virtual void Mult(const Vector &u, Vector &du_dt) const;
/** Solve the Backward-Euler equation: k = f(u + dt*k, t), for the unknown k.
This is the only requirement for high-order SDIRK implicit integration.*/
virtual void ImplicitSolve(const double dt, const Vector &u, Vector &k);
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by ConductionOperator
M du/dt = -K(u),
this class facilitates the solution of linear systems of the form
(M + γK) y = M b,
for given b, u (not used), and γ = GetTimeStep(). */
/** Setup the system (M + dt K) x = M b. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSetup(const Vector &x, const Vector &fx,
int jok, int *jcur, double gamma);
/** Solve the system (M + dt K) x = M b. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSolve(const Vector &b, Vector &x, double tol);
/** Solve the system (M + dt K) y = M b. The result y replaces the input b.
This method is used by the implicit SUNDIALS solvers. */
void SundialsSolve(const double dt, Vector &b);
/// Update the diffusion BilinearForm K using the given true-dof vector `u`.
void SetParameters(const Vector &u);
@@ -105,6 +89,33 @@ public:
virtual ~ConductionOperator();
};
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by ConductionOperator
M du/dt = -K(u),
this class facilitates the solution of linear systems of the form
(M + γK) y = M b,
for given b, u (not used), and γ = GetTimeStep(). */
class SundialsJacSolver : public SundialsODELinearSolver
{
private:
ConductionOperator *oper;
public:
SundialsJacSolver() : oper(NULL) { }
int InitSystem(void *sundials_mem);
int SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred, int &jac_cur,
Vector &v_temp1, Vector &v_temp2, Vector &v_temp3);
int SolveSystem(void *sundials_mem, Vector &b, const Vector &weight,
const Vector &y_cur, const Vector &f_cur);
int FreeSystem(void *sundials_mem);
};
double InitialTemperature(const Vector &x);
int main(int argc, char *argv[])
@@ -113,7 +124,7 @@ int main(int argc, char *argv[])
const char *mesh_file = "../../data/star.mesh";
int ref_levels = 2;
int order = 2;
int ode_solver_type = 9; // CVODE implicit BDF
int ode_solver_type = 11; // 11 = CVODE implicit
double t_final = 0.5;
double dt = 1.0e-2;
double alpha = 1.0e-2;
@@ -136,19 +147,12 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Forward Euler,\n\t"
"2 - RK2,\n\t"
"3 - RK3 SSP,\n\t"
"4 - RK4,\n\t"
"5 - Backward Euler,\n\t"
"6 - SDIRK 2,\n\t"
"7 - SDIRK 3,\n\t"
"8 - CVODE (implicit Adams),\n\t"
"9 - CVODE (implicit BDF),\n\t"
"10 - ARKODE (default explicit),\n\t"
"11 - ARKODE (explicit Fehlberg-6-4-5),\n\t"
"12 - ARKODE (default impicit).");
"ODE solver:\n"
"\t 1/11 - CVODE (explicit/implicit),\n"
"\t 2/12 - ARKODE (default explicit/implicit),\n"
"\t 3 - ARKODE (Fehlberg-6-4-5)\n"
"\t 4 - Forward Euler, 5 - RK2, 6 - RK3 SSP, 7 - RK4,\n"
"\t 8 - Backward Euler, 9 - SDIRK23, 10 - SDIRK33.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
@@ -171,11 +175,6 @@ int main(int argc, char *argv[])
args.PrintUsage(cout);
return 1;
}
if (ode_solver_type < 1 || ode_solver_type > 12)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 3;
}
args.PrintOptions(cout);
// 2. Read the mesh from the given mesh file. We can handle triangular,
@@ -183,7 +182,61 @@ int main(int argc, char *argv[])
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 3. Refine the mesh to increase the resolution. In this example we do
// 3. Define the ODE solver used for time integration. Several
// SUNDIALS solvers are available, as well as included both
// explicit and implicit MFEM ODE solvers.
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
SundialsJacSolver sun_solver; // Used by the implicit SUNDIALS ode solvers.
switch (ode_solver_type)
{
// SUNDIALS solvers
case 1:
cvode = new CVODESolver(CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 11:
cvode = new CVODESolver(CV_BDF, CV_NEWTON);
cvode->SetLinearSolver(sun_solver);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 2:
case 3:
arkode = new ARKODESolver(ARKODESolver::EXPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 3) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
case 12:
arkode = new ARKODESolver(ARKODESolver::IMPLICIT);
arkode->SetLinearSolver(sun_solver);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
// Other MFEM explicit methods
case 4: ode_solver = new ForwardEulerSolver; break;
case 5: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 6: ode_solver = new RK3SSPSolver; break;
case 7: ode_solver = new RK4Solver; break;
// MFEM implicit L-stable methods
case 8: ode_solver = new BackwardEulerSolver; break;
case 9: ode_solver = new SDIRK23Solver(2); break;
case 10: ode_solver = new SDIRK33Solver; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
delete mesh;
return 3;
}
// Since we want to update the diffusion coefficient after every time step,
// we need to use the "one-step" mode of the SUNDIALS solvers.
if (cvode) { cvode->SetStepMode(CV_ONE_STEP); }
if (arkode) { arkode->SetStepMode(ARK_ONE_STEP); }
// 4. Refine the mesh to increase the resolution. In this example we do
// 'ref_levels' of uniform refinement, where 'ref_levels' is a
// command-line parameter.
for (int lev = 0; lev < ref_levels; lev++)
@@ -191,7 +244,7 @@ int main(int argc, char *argv[])
mesh->UniformRefinement();
}
// 4. Define the vector finite element space representing the current and the
// 5. Define the vector finite element space representing the current and the
// initial temperature, u_ref.
H1_FECollection fe_coll(order, dim);
FiniteElementSpace fespace(mesh, &fe_coll);
@@ -201,14 +254,14 @@ int main(int argc, char *argv[])
GridFunction u_gf(&fespace);
// 5. Set the initial conditions for u. All boundaries are considered
// 6. Set the initial conditions for u. All boundaries are considered
// natural.
FunctionCoefficient u_0(InitialTemperature);
u_gf.ProjectCoefficient(u_0);
Vector u;
u_gf.GetTrueDofs(u);
// 6. Initialize the conduction operator and the visualization.
// 7. Initialize the conduction operator and the visualization.
ConductionOperator oper(fespace, alpha, kappa, u);
u_gf.SetFromTrueDofs(u);
@@ -254,65 +307,13 @@ int main(int argc, char *argv[])
}
}
// 7. Define the ODE solver used for time integration.
double t = 0.0;
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
// MFEM explicit methods
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
// MFEM implicit L-stable methods
case 5: ode_solver = new BackwardEulerSolver; break;
case 6: ode_solver = new SDIRK23Solver(2); break;
case 7: ode_solver = new SDIRK33Solver; break;
// CVODE
case 8:
cvode = new CVODESolver(CV_ADAMS);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 9:
cvode = new CVODESolver(CV_BDF);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
// ARKODE
case 10:
case 11:
arkode = new ARKStepSolver(ARKStepSolver::EXPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 11) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
case 12:
arkode = new ARKStepSolver(ARKStepSolver::IMPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 8) { ode_solver->Init(oper); }
// Since we want to update the diffusion coefficient after every time step,
// we need to use the "one-step" mode of the SUNDIALS solvers.
if (cvode) { cvode->SetStepMode(CV_ONE_STEP); }
if (arkode) { arkode->SetStepMode(ARK_ONE_STEP); }
// 8. Perform time-integration (looping over the time iterations, ti, with a
// time-step dt).
cout << "Integrating the ODE ..." << endl;
tic_toc.Clear();
tic_toc.Start();
ode_solver->Init(oper);
double t = 0.0;
bool last_step = false;
for (int ti = 1; !last_step; ti++)
@@ -370,7 +371,7 @@ int main(int argc, char *argv[])
ConductionOperator::ConductionOperator(FiniteElementSpace &f, double al,
double kap, const Vector &u)
: TimeDependentOperator(f.GetTrueVSize(), 0.0), fespace(f), M(NULL), K(NULL),
T(NULL), z(height)
T(NULL), current_dt(0.0), z(height)
{
const double rel_tol = 1e-8;
@@ -416,14 +417,32 @@ void ConductionOperator::ImplicitSolve(const double dt,
// Solve the equation:
// du_dt = M^{-1}*[-K(u + dt*du_dt)]
// for du_dt
if (T) { delete T; }
T = Add(1.0, Mmat, dt, Kmat);
T_solver.SetOperator(*T);
if (!T)
{
T = Add(1.0, Mmat, dt, Kmat);
current_dt = dt;
T_solver.SetOperator(*T);
}
MFEM_VERIFY(dt == current_dt, ""); // SDIRK methods use the same dt
Kmat.Mult(u, z);
z.Neg();
T_solver.Mult(z, du_dt);
}
void ConductionOperator::SundialsSolve(const double dt, Vector &b)
{
// Solve the system (M + dt K) y = M b. The result y replaces the input b.
if (!T || dt != current_dt)
{
delete T;
T = Add(1.0, Mmat, dt, Kmat);
current_dt = dt;
T_solver.SetOperator(*T);
}
Mmat.Mult(b, z);
T_solver.Mult(z, b);
}
void ConductionOperator::SetParameters(const Vector &u)
{
GridFunction u_alpha_gf(&fespace);
@@ -441,26 +460,8 @@ void ConductionOperator::SetParameters(const Vector &u)
K->AddDomainIntegrator(new DiffusionIntegrator(u_coeff));
K->Assemble();
K->FormSystemMatrix(ess_tdof_list, Kmat);
}
int ConductionOperator::SUNImplicitSetup(const Vector &x,
const Vector &fx, int jok, int *jcur,
double gamma)
{
// Setup the ODE Jacobian T = M + gamma K.
if (T) { delete T; }
T = Add(1.0, Mmat, gamma, Kmat);
T_solver.SetOperator(*T);
*jcur = 1;
return (0);
}
int ConductionOperator::SUNImplicitSolve(const Vector &b, Vector &x, double tol)
{
// Solve the system A x = z => (M - gamma K) x = M b.
Mmat.Mult(b, z);
T_solver.Mult(z, x);
return (0);
delete T;
T = NULL; // re-compute T on the next ImplicitSolve or SundialsSolve
}
ConductionOperator::~ConductionOperator()
@@ -470,6 +471,46 @@ ConductionOperator::~ConductionOperator()
delete K;
}
int SundialsJacSolver::InitSystem(void *sundials_mem)
{
TimeDependentOperator *td_oper = GetTimeDependentOperator(sundials_mem);
// During development, we use dynamic_cast<> to ensure the setup is correct:
oper = dynamic_cast<ConductionOperator*>(td_oper);
MFEM_VERIFY(oper, "operator is not ConductionOperator");
// When the implementation is finalized, we can switch to static_cast<>:
// oper = static_cast<ConductionOperator*>(td_oper);
return 0;
}
int SundialsJacSolver::SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred,
int &jac_cur, Vector &v_temp1,
Vector &v_temp2, Vector &v_temp3)
{
jac_cur = 1;
return 0;
}
int SundialsJacSolver::SolveSystem(void *sundials_mem, Vector &b,
const Vector &weight, const Vector &y_cur,
const Vector &f_cur)
{
oper->SundialsSolve(GetTimeStep(sundials_mem), b);
return 0;
}
int SundialsJacSolver::FreeSystem(void *sundials_mem)
{
return 0;
}
double InitialTemperature(const Vector &x)
{
if (x.Norml2() < 0.5)
+161 -116
View File
@@ -8,9 +8,9 @@
// mpirun -np 4 ex16p -m ../../data/inline-tri.mesh
// mpirun -np 4 ex16p -m ../../data/disc-nurbs.mesh -tf 2
// mpirun -np 4 ex16p -s 12 -a 0.0 -k 1.0
// mpirun -np 4 ex16p -s 8 -a 1.0 -k 0.0 -dt 4e-6 -tf 2e-2 -vs 50
// mpirun -np 8 ex16p -s 9 -a 0.5 -k 0.5 -o 4 -dt 8e-6 -tf 2e-2 -vs 50
// mpirun -np 4 ex16p -s 10 -dt 2.0e-4 -tf 4.0e-2
// mpirun -np 4 ex16p -s 1 -a 1.0 -k 0.0 -dt 4e-6 -tf 2e-2 -vs 50
// mpirun -np 8 ex16p -s 2 -a 0.5 -k 0.5 -o 4 -dt 8e-6 -tf 2e-2 -vs 50
// mpirun -np 4 ex16p -s 3 -dt 2.0e-4 -tf 4.0e-2
// mpirun -np 16 ex16p -m ../../data/fichera-q2.mesh
// mpirun -np 16 ex16p -m ../../data/escher-p2.mesh
// mpirun -np 8 ex16p -m ../../data/beam-tet.mesh -tf 10 -dt 0.1
@@ -77,19 +77,13 @@ public:
const Vector &u);
virtual void Mult(const Vector &u, Vector &du_dt) const;
/** Solve the Backward-Euler equation: k = f(u + dt*k, t), for the unknown k.
This is the only requirement for high-order SDIRK implicit integration.*/
virtual void ImplicitSolve(const double dt, const Vector &u, Vector &k);
/** Setup the system (M + dt K) x = M b. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSetup(const Vector &x, const Vector &fx,
int jok, int *jcur, double gamma);
/** Solve the system (M + dt K) x = M b. This method is used by the implicit
SUNDIALS solvers. */
virtual int SUNImplicitSolve(const Vector &b, Vector &x, double tol);
/** Solve the system (M + dt K) y = M b. The result y replaces the input b.
This method is used by the implicit SUNDIALS solvers. */
void SundialsSolve(const double dt, Vector &b);
/// Update the diffusion BilinearForm K using the given true-dof vector `u`.
void SetParameters(const Vector &u);
@@ -97,6 +91,33 @@ public:
virtual ~ConductionOperator();
};
/// Custom Jacobian system solver for the SUNDIALS time integrators.
/** For the ODE system represented by ConductionOperator
M du/dt = -K(u),
this class facilitates the solution of linear systems of the form
(M + γK) y = M b,
for given b, u (not used), and γ = GetTimeStep(). */
class SundialsJacSolver : public SundialsODELinearSolver
{
private:
ConductionOperator *oper;
public:
SundialsJacSolver() : oper(NULL) { }
int InitSystem(void *sundials_mem);
int SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred, int &jac_cur,
Vector &v_temp1, Vector &v_temp2, Vector &v_temp3);
int SolveSystem(void *sundials_mem, Vector &b, const Vector &weight,
const Vector &y_cur, const Vector &f_cur);
int FreeSystem(void *sundials_mem);
};
double InitialTemperature(const Vector &x);
int main(int argc, char *argv[])
@@ -112,7 +133,7 @@ int main(int argc, char *argv[])
int ser_ref_levels = 2;
int par_ref_levels = 1;
int order = 2;
int ode_solver_type = 9; // CVODE implicit BDF
int ode_solver_type = 11; // 11 = CVODE implicit
double t_final = 0.5;
double dt = 1.0e-2;
double alpha = 1.0e-2;
@@ -137,19 +158,12 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Forward Euler,\n\t"
"2 - RK2,\n\t"
"3 - RK3 SSP,\n\t"
"4 - RK4,\n\t"
"5 - Backward Euler,\n\t"
"6 - SDIRK 2,\n\t"
"7 - SDIRK 3,\n\t"
"8 - CVODE (implicit Adams),\n\t"
"9 - CVODE (implicit BDF),\n\t"
"10 - ARKODE (default explicit),\n\t"
"11 - ARKODE (explicit Fehlberg-6-4-5),\n\t"
"12 - ARKODE (default impicit).");
"ODE solver:\n"
"\t 1/11 - CVODE (explicit/implicit),\n"
"\t 2/12 - ARKODE (default explicit/implicit),\n"
"\t 3 - ARKODE (Fehlberg-6-4-5)\n"
"\t 4 - Forward Euler, 5 - RK2, 6 - RK3 SSP, 7 - RK4,\n"
"\t 8 - Backward Euler, 9 - SDIRK23, 10 - SDIRK33.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
@@ -179,24 +193,67 @@ int main(int argc, char *argv[])
args.PrintOptions(cout);
}
// check for vaild ODE solver option
if (ode_solver_type < 1 || ode_solver_type > 12)
{
if (myid == 0)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
}
MPI_Finalize();
return 1;
}
// 3. Read the serial mesh from the given mesh file on all processors. We can
// handle triangular, quadrilateral, tetrahedral and hexahedral meshes
// with the same code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 4. Refine the mesh in serial to increase the resolution. In this example
// 4. Define the ODE solver used for time integration. Several
// SUNDIALS solvers are available, as well as included both
// explicit and implicit MFEM ODE solvers.
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
SundialsJacSolver sun_solver; // Used by the implicit SUNDIALS ode solvers.
switch (ode_solver_type)
{
// SUNDIALS solvers
case 1:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 11:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_BDF, CV_NEWTON);
cvode->SetLinearSolver(sun_solver);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 2:
case 3:
arkode = new ARKODESolver(MPI_COMM_WORLD, ARKODESolver::EXPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 3) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
case 12:
arkode = new ARKODESolver(MPI_COMM_WORLD, ARKODESolver::IMPLICIT);
arkode->SetLinearSolver(sun_solver);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
// Other MFEM explicit methods
case 4: ode_solver = new ForwardEulerSolver; break;
case 5: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 6: ode_solver = new RK3SSPSolver; break;
case 7: ode_solver = new RK4Solver; break;
// MFEM implicit L-stable methods
case 8: ode_solver = new BackwardEulerSolver; break;
case 9: ode_solver = new SDIRK23Solver(2); break;
case 10: ode_solver = new SDIRK33Solver; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
delete mesh;
return 3;
}
// Since we want to update the diffusion coefficient after every time step,
// we need to use the "one-step" mode of the SUNDIALS solvers.
if (cvode) { cvode->SetStepMode(CV_ONE_STEP); }
if (arkode) { arkode->SetStepMode(ARK_ONE_STEP); }
// 5. Refine the mesh in serial to increase the resolution. In this example
// we do 'ser_ref_levels' of uniform refinement, where 'ser_ref_levels' is
// a command-line parameter.
for (int lev = 0; lev < ser_ref_levels; lev++)
@@ -204,7 +261,7 @@ int main(int argc, char *argv[])
mesh->UniformRefinement();
}
// 5. Define a parallel mesh by a partitioning of the serial mesh. Refine
// 6. Define a parallel mesh by a partitioning of the serial mesh. Refine
// this mesh further in parallel to increase the resolution. Once the
// parallel mesh is defined, the serial mesh can be deleted.
ParMesh *pmesh = new ParMesh(MPI_COMM_WORLD, *mesh);
@@ -214,7 +271,7 @@ int main(int argc, char *argv[])
pmesh->UniformRefinement();
}
// 6. Define the vector finite element space representing the current and the
// 7. Define the vector finite element space representing the current and the
// initial temperature, u_ref.
H1_FECollection fe_coll(order, dim);
ParFiniteElementSpace fespace(pmesh, &fe_coll);
@@ -227,14 +284,14 @@ int main(int argc, char *argv[])
ParGridFunction u_gf(&fespace);
// 7. Set the initial conditions for u. All boundaries are considered
// 8. Set the initial conditions for u. All boundaries are considered
// natural.
FunctionCoefficient u_0(InitialTemperature);
u_gf.ProjectCoefficient(u_0);
Vector u;
u_gf.GetTrueDofs(u);
// 8. Initialize the conduction operator and the VisIt visualization.
// 9. Initialize the conduction operator and the VisIt visualization.
ConductionOperator oper(fespace, alpha, kappa, u);
u_gf.SetFromTrueDofs(u);
@@ -293,60 +350,6 @@ int main(int argc, char *argv[])
}
}
// 9. Define the ODE solver used for time integration.
double t = 0.0;
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
// MFEM explicit methods
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(0.5); break; // midpoint method
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
// MFEM implicit L-stable methods
case 5: ode_solver = new BackwardEulerSolver; break;
case 6: ode_solver = new SDIRK23Solver(2); break;
case 7: ode_solver = new SDIRK33Solver; break;
// CVODE
case 8:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 9:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_BDF);
cvode->Init(oper);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
// ARKODE
case 10:
case 11:
arkode = new ARKStepSolver(MPI_COMM_WORLD, ARKStepSolver::EXPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 11) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
case 12:
arkode = new ARKStepSolver(MPI_COMM_WORLD, ARKStepSolver::IMPLICIT);
arkode->Init(oper);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 8) { ode_solver->Init(oper); }
// Since we want to update the diffusion coefficient after every time step,
// we need to use the "one-step" mode of the SUNDIALS solvers.
if (cvode) { cvode->SetStepMode(CV_ONE_STEP); }
if (arkode) { arkode->SetStepMode(ARK_ONE_STEP); }
// 10. Perform time-integration (looping over the time iterations, ti, with a
// time-step dt).
if (myid == 0)
@@ -355,6 +358,8 @@ int main(int argc, char *argv[])
}
tic_toc.Clear();
tic_toc.Start();
ode_solver->Init(oper);
double t = 0.0;
bool last_step = false;
for (int ti = 1; !last_step; ti++)
@@ -423,7 +428,7 @@ int main(int argc, char *argv[])
ConductionOperator::ConductionOperator(ParFiniteElementSpace &f, double al,
double kap, const Vector &u)
: TimeDependentOperator(f.GetTrueVSize(), 0.0), fespace(f), M(NULL), K(NULL),
T(NULL),
T(NULL), current_dt(0.0),
M_solver(f.GetComm()), T_solver(f.GetComm()), z(height)
{
const double rel_tol = 1e-8;
@@ -471,32 +476,30 @@ void ConductionOperator::ImplicitSolve(const double dt,
// Solve the equation:
// du_dt = M^{-1}*[-K(u + dt*du_dt)]
// for du_dt
if (T) { delete T; }
T = Add(1.0, Mmat, dt, Kmat);
T_solver.SetOperator(*T);
if (!T)
{
T = Add(1.0, Mmat, dt, Kmat);
current_dt = dt;
T_solver.SetOperator(*T);
}
MFEM_VERIFY(dt == current_dt, ""); // SDIRK methods use the same dt
Kmat.Mult(u, z);
z.Neg();
T_solver.Mult(z, du_dt);
}
int ConductionOperator::SUNImplicitSetup(const Vector &x,
const Vector &fx, int jok, int *jcur,
double gamma)
void ConductionOperator::SundialsSolve(const double dt, Vector &b)
{
// Setup the ODE Jacobian T = M + gamma K.
if (T) { delete T; }
T = Add(1.0, Mmat, gamma, Kmat);
T_solver.SetOperator(*T);
*jcur = 1;
return (0);
}
int ConductionOperator::SUNImplicitSolve(const Vector &b, Vector &x, double tol)
{
// Solve the system A x = z => (M - gamma K) x = M b.
// Solve the system (M + dt K) y = M b. The result y replaces the input b.
if (!T || dt != current_dt)
{
delete T;
T = Add(1.0, Mmat, dt, Kmat);
current_dt = dt;
T_solver.SetOperator(*T);
}
Mmat.Mult(b, z);
T_solver.Mult(z, x);
return (0);
T_solver.Mult(z, b);
}
void ConductionOperator::SetParameters(const Vector &u)
@@ -516,6 +519,8 @@ void ConductionOperator::SetParameters(const Vector &u)
K->AddDomainIntegrator(new DiffusionIntegrator(u_coeff));
K->Assemble(0); // keep sparsity pattern of M and K the same
K->FormSystemMatrix(ess_tdof_list, Kmat);
delete T;
T = NULL; // re-compute T on the next ImplicitSolve or SundialsSolve
}
ConductionOperator::~ConductionOperator()
@@ -525,6 +530,46 @@ ConductionOperator::~ConductionOperator()
delete K;
}
int SundialsJacSolver::InitSystem(void *sundials_mem)
{
TimeDependentOperator *td_oper = GetTimeDependentOperator(sundials_mem);
// During development, we use dynamic_cast<> to ensure the setup is correct:
oper = dynamic_cast<ConductionOperator*>(td_oper);
MFEM_VERIFY(oper, "operator is not ConductionOperator");
// When the implementation is finalized, we can switch to static_cast<>:
// oper = static_cast<ConductionOperator*>(td_oper);
return 0;
}
int SundialsJacSolver::SetupSystem(void *sundials_mem, int conv_fail,
const Vector &y_pred, const Vector &f_pred,
int &jac_cur, Vector &v_temp1,
Vector &v_temp2, Vector &v_temp3)
{
jac_cur = 1;
return 0;
}
int SundialsJacSolver::SolveSystem(void *sundials_mem, Vector &b,
const Vector &weight, const Vector &y_cur,
const Vector &f_cur)
{
oper->SundialsSolve(GetTimeStep(sundials_mem), b);
return 0;
}
int SundialsJacSolver::FreeSystem(void *sundials_mem)
{
return 0;
}
double InitialTemperature(const Vector &x)
{
if (x.Norml2() < 0.5)
+63 -74
View File
@@ -4,14 +4,14 @@
// Compile with: make ex9
//
// Sample runs:
// ex9 -m ../../data/periodic-segment.mesh -p 0 -r 2 -s 7 -dt 0.005
// ex9 -m ../../data/periodic-square.mesh -p 1 -r 2 -s 8 -dt 0.005 -tf 9
// ex9 -m ../../data/periodic-hexagon.mesh -p 0 -r 2 -s 7 -dt 0.0018 -vs 25
// ex9 -m ../../data/periodic-hexagon.mesh -p 0 -r 2 -s 9 -dt 0.01 -vs 15
// ex9 -m ../../data/amr-quad.mesh -p 1 -r 2 -s 9 -dt 0.002 -tf 9
// ex9 -m ../../data/star-q3.mesh -p 1 -r 2 -s 9 -dt 0.005 -tf 9
// ex9 -m ../../data/disc-nurbs.mesh -p 1 -r 3 -s 7 -dt 0.005 -tf 9
// ex9 -m ../../data/periodic-cube.mesh -p 0 -r 2 -s 8 -dt 0.02 -tf 8 -o 2
// ex9 -m ../../data/periodic-segment.mesh -p 0 -r 2 -s 11 -dt 0.005
// ex9 -m ../../data/periodic-square.mesh -p 1 -r 2 -s 12 -dt 0.005 -tf 9
// ex9 -m ../../data/periodic-hexagon.mesh -p 0 -r 2 -s 11 -dt 0.0018 -vs 25
// ex9 -m ../../data/periodic-hexagon.mesh -p 0 -r 2 -s 13 -dt 0.01 -vs 15
// ex9 -m ../../data/amr-quad.mesh -p 1 -r 2 -s 13 -dt 0.002 -tf 9
// ex9 -m ../../data/star-q3.mesh -p 1 -r 2 -s 13 -dt 0.005 -tf 9
// ex9 -m ../../data/disc-nurbs.mesh -p 1 -r 3 -s 11 -dt 0.005 -tf 9
// ex9 -m ../../data/periodic-cube.mesh -p 0 -r 2 -s 12 -dt 0.02 -tf 8 -o 2
//
// Description: This example code solves the time-dependent advection equation
// du/dt + v.grad(u) = 0, where v is a given fluid velocity, and
@@ -109,15 +109,11 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Forward Euler,\n\t"
"2 - RK2 SSP,\n\t"
"3 - RK3 SSP,\n\t"
"4 - RK4,\n\t"
"6 - RK6,\n\t"
"7 - CVODE (adaptive order implicit Adams),\n\t"
"8 - ARKODE default (4th order) explicit,\n\t"
"9 - ARKODE RK8.");
"ODE solver: 1 - Forward Euler,\n\t"
" 2 - RK2 SSP, 3 - RK3 SSP, 4 - RK4, 6 - RK6,\n\t"
" 11 - CVODE (adaptive order) explicit,\n\t"
" 12 - ARKODE default (4th order) explicit,\n\t"
" 13 - ARKODE RK8.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
@@ -139,41 +135,65 @@ int main(int argc, char *argv[])
args.PrintUsage(cout);
return 1;
}
// check for vaild ODE solver option
if (ode_solver_type < 1 || ode_solver_type > 9)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
return 3;
}
args.PrintOptions(cout);
// 2. Read the mesh from the given mesh file. We can handle geometrically
// periodic meshes in this code.
Mesh mesh(mesh_file, 1, 1);
int dim = mesh.Dimension();
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 3. Refine the mesh to increase the resolution. In this example we do
// 3. Define the ODE solver used for time integration. Several explicit
// Runge-Kutta methods are available.
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
switch (ode_solver_type)
{
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(1.0); break;
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 6: ode_solver = new RK6Solver; break;
case 11:
cvode = new CVODESolver(CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 12:
case 13:
arkode = new ARKODESolver(ARKODESolver::EXPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 13) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
default:
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
delete mesh;
return 3;
}
// 4. Refine the mesh to increase the resolution. In this example we do
// 'ref_levels' of uniform refinement, where 'ref_levels' is a
// command-line parameter. If the mesh is of NURBS type, we convert it to
// a (piecewise-polynomial) high-order mesh.
for (int lev = 0; lev < ref_levels; lev++)
{
mesh.UniformRefinement();
mesh->UniformRefinement();
}
if (mesh.NURBSext)
if (mesh->NURBSext)
{
mesh.SetCurvature(max(order, 1));
mesh->SetCurvature(max(order, 1));
}
mesh.GetBoundingBox(bb_min, bb_max, max(order, 1));
mesh->GetBoundingBox(bb_min, bb_max, max(order, 1));
// 4. Define the discontinuous DG finite element space of the given
// 5. Define the discontinuous DG finite element space of the given
// polynomial order on the refined mesh.
DG_FECollection fec(order, dim);
FiniteElementSpace fes(&mesh, &fec);
FiniteElementSpace fes(mesh, &fec);
cout << "Number of unknowns: " << fes.GetVSize() << endl;
// 5. Set up and assemble the bilinear and linear forms corresponding to the
// 6. Set up and assemble the bilinear and linear forms corresponding to the
// DG discretization. The DGTraceIntegrator involves integrals over mesh
// interior faces.
VectorFunctionCoefficient velocity(dim, velocity_function);
@@ -200,7 +220,7 @@ int main(int argc, char *argv[])
k.Finalize(skip_zeros);
b.Assemble();
// 6. Define the initial conditions, save the corresponding grid function to
// 7. Define the initial conditions, save the corresponding grid function to
// a file and (optionally) save data in the VisIt format and initialize
// GLVis visualization.
GridFunction u(&fes);
@@ -209,7 +229,7 @@ int main(int argc, char *argv[])
{
ofstream omesh("ex9.mesh");
omesh.precision(precision);
mesh.Print(omesh);
mesh->Print(omesh);
ofstream osol("ex9-init.gf");
osol.precision(precision);
u.Save(osol);
@@ -223,14 +243,14 @@ int main(int argc, char *argv[])
if (binary)
{
#ifdef MFEM_USE_SIDRE
dc = new SidreDataCollection("Example9", &mesh);
dc = new SidreDataCollection("Example9", mesh);
#else
MFEM_ABORT("Must build with MFEM_USE_SIDRE=YES for binary output.");
#endif
}
else
{
dc = new VisItDataCollection("Example9", &mesh);
dc = new VisItDataCollection("Example9", mesh);
dc->SetPrecision(precision);
}
dc->RegisterField("solution", &u);
@@ -255,7 +275,7 @@ int main(int argc, char *argv[])
else
{
sout.precision(precision);
sout << "solution\n" << mesh << u;
sout << "solution\n" << *mesh << u;
sout << "pause\n";
sout << flush;
cout << "GLVis visualization paused."
@@ -263,46 +283,15 @@ int main(int argc, char *argv[])
}
}
// 7. Define the time-dependent evolution operator describing the ODE
// right-hand side, and define the ODE solver used for time integration.
// 8. Define the time-dependent evolution operator describing the ODE
// right-hand side, and perform time-integration (looping over the time
// iterations, ti, with a time-step dt).
FE_Evolution adv(m.SpMat(), k.SpMat(), b);
double t = 0.0;
adv.SetTime(t);
ode_solver->Init(adv);
// Create the time integrator
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(1.0); break;
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 6: ode_solver = new RK6Solver; break;
case 7:
cvode = new CVODESolver(CV_ADAMS);
cvode->Init(adv);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
cvode->UseSundialsLinearSolver();
ode_solver = cvode; break;
case 8:
case 9:
arkode = new ARKStepSolver(ARKStepSolver::EXPLICIT);
arkode->Init(adv);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 9) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 7) { ode_solver->Init(adv); }
// 8. Perform time-integration (looping over the time iterations, ti,
// with a time-step dt).
bool done = false;
for (int ti = 0; !done; )
{
@@ -320,7 +309,7 @@ int main(int argc, char *argv[])
if (visualization)
{
sout << "solution\n" << mesh << u << flush;
sout << "solution\n" << *mesh << u << flush;
}
if (visit)
+56 -67
View File
@@ -4,14 +4,14 @@
// Compile with: make ex9p
//
// Sample runs:
// mpirun -np 4 ex9p -m ../../data/periodic-segment.mesh -p 1 -rp 1 -s 7 -dt 0.0025
// mpirun -np 4 ex9p -m ../../data/periodic-square.mesh -p 1 -rp 1 -s 8 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/periodic-hexagon.mesh -p 0 -rp 1 -s 7 -dt 0.0009 -vs 25
// mpirun -np 4 ex9p -m ../../data/periodic-hexagon.mesh -p 0 -rp 1 -s 9 -dt 0.005 -vs 15
// mpirun -np 4 ex9p -m ../../data/amr-quad.mesh -p 1 -rp 1 -s 9 -dt 0.001 -tf 9
// mpirun -np 4 ex9p -m ../../data/star-q3.mesh -p 1 -rp 1 -s 9 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/disc-nurbs.mesh -p 1 -rp 2 -s 7 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/periodic-cube.mesh -p 0 -rp 1 -s 8 -dt 0.01 -tf 8 -o 2
// mpirun -np 4 ex9p -m ../../data/periodic-segment.mesh -p 1 -rp 1 -s 11 -dt 0.0025
// mpirun -np 4 ex9p -m ../../data/periodic-square.mesh -p 1 -rp 1 -s 12 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/periodic-hexagon.mesh -p 0 -rp 1 -s 11 -dt 0.0009 -vs 25
// mpirun -np 4 ex9p -m ../../data/periodic-hexagon.mesh -p 0 -rp 1 -s 13 -dt 0.005 -vs 15
// mpirun -np 4 ex9p -m ../../data/amr-quad.mesh -p 1 -rp 1 -s 13 -dt 0.001 -tf 9
// mpirun -np 4 ex9p -m ../../data/star-q3.mesh -p 1 -rp 1 -s 13 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/disc-nurbs.mesh -p 1 -rp 2 -s 11 -dt 0.0025 -tf 9
// mpirun -np 4 ex9p -m ../../data/periodic-cube.mesh -p 0 -rp 1 -s 12 -dt 0.01 -tf 8 -o 2
//
// Description: This example code solves the time-dependent advection equation
// du/dt + v.grad(u) = 0, where v is a given fluid velocity, and
@@ -117,15 +117,11 @@ int main(int argc, char *argv[])
args.AddOption(&order, "-o", "--order",
"Order (degree) of the finite elements.");
args.AddOption(&ode_solver_type, "-s", "--ode-solver",
"ODE solver:\n\t"
"1 - Forward Euler,\n\t"
"2 - RK2 SSP,\n\t"
"3 - RK3 SSP,\n\t"
"4 - RK4,\n\t"
"6 - RK6,\n\t"
"7 - CVODE (adaptive order implicit Adams),\n\t"
"8 - ARKODE default (4th order) explicit,\n\t"
"9 - ARKODE RK8.");
"ODE solver: 1 - Forward Euler,\n\t"
" 2 - RK2 SSP, 3 - RK3 SSP, 4 - RK4, 6 - RK6,\n\t"
" 11 - CVODE (adaptive order) explicit,\n\t"
" 12 - ARKODE default (4th order) explicit,\n\t"
" 13 - ARKODE RK8.");
args.AddOption(&t_final, "-tf", "--t-final",
"Final time; start time is 0.");
args.AddOption(&dt, "-dt", "--time-step",
@@ -155,23 +151,47 @@ int main(int argc, char *argv[])
{
args.PrintOptions(cout);
}
// check for vaild ODE solver option
if (ode_solver_type < 1 || ode_solver_type > 9)
{
if (myid == 0)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
}
MPI_Finalize();
return 3;
}
// 3. Read the serial mesh from the given mesh file on all processors. We can
// handle geometrically periodic meshes in this code.
Mesh *mesh = new Mesh(mesh_file, 1, 1);
int dim = mesh->Dimension();
// 4. Refine the mesh in serial to increase the resolution. In this example
// 4. Define the ODE solver used for time integration. Several explicit
// Runge-Kutta methods are available.
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKODESolver *arkode = NULL;
switch (ode_solver_type)
{
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(1.0); break;
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 6: ode_solver = new RK6Solver; break;
case 11:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS, CV_FUNCTIONAL);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
ode_solver = cvode; break;
case 12:
case 13:
arkode = new ARKODESolver(MPI_COMM_WORLD, ARKODESolver::EXPLICIT);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 13) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
default:
if (myid == 0)
{
cout << "Unknown ODE solver type: " << ode_solver_type << '\n';
}
delete mesh;
MPI_Finalize();
return 3;
}
// 5. Refine the mesh in serial to increase the resolution. In this example
// we do 'ser_ref_levels' of uniform refinement, where 'ser_ref_levels' is
// a command-line parameter. If the mesh is of NURBS type, we convert it
// to a (piecewise-polynomial) high-order mesh.
@@ -185,7 +205,7 @@ int main(int argc, char *argv[])
}
mesh->GetBoundingBox(bb_min, bb_max, max(order, 1));
// 5. Define the parallel mesh by a partitioning of the serial mesh. Refine
// 6. Define the parallel mesh by a partitioning of the serial mesh. Refine
// this mesh further in parallel to increase the resolution. Once the
// parallel mesh is defined, the serial mesh can be deleted.
ParMesh *pmesh = new ParMesh(MPI_COMM_WORLD, *mesh);
@@ -195,7 +215,7 @@ int main(int argc, char *argv[])
pmesh->UniformRefinement();
}
// 6. Define the parallel discontinuous DG finite element space on the
// 7. Define the parallel discontinuous DG finite element space on the
// parallel refined mesh of the given polynomial order.
DG_FECollection fec(order, dim);
ParFiniteElementSpace *fes = new ParFiniteElementSpace(pmesh, &fec);
@@ -206,7 +226,7 @@ int main(int argc, char *argv[])
cout << "Number of unknowns: " << global_vSize << endl;
}
// 7. Set up and assemble the parallel bilinear and linear forms (and the
// 8. Set up and assemble the parallel bilinear and linear forms (and the
// parallel hypre matrices) corresponding to the DG discretization. The
// DGTraceIntegrator involves integrals over mesh interior faces.
VectorFunctionCoefficient velocity(dim, velocity_function);
@@ -237,7 +257,7 @@ int main(int argc, char *argv[])
HypreParMatrix *K = k->ParallelAssemble();
HypreParVector *B = b->ParallelAssemble();
// 8. Define the initial conditions, save the corresponding grid function to
// 9. Define the initial conditions, save the corresponding grid function to
// a file and (optionally) save data in the VisIt format and initialize
// GLVis visualization.
ParGridFunction *u = new ParGridFunction(fes);
@@ -310,46 +330,15 @@ int main(int argc, char *argv[])
}
}
// 9. Define the time-dependent evolution operator describing the ODE
// right-hand side, and define the ODE solver used for time integration.
// 10. Define the time-dependent evolution operator describing the ODE
// right-hand side, and perform time-integration (looping over the time
// iterations, ti, with a time-step dt).
FE_Evolution adv(*M, *K, *B);
double t = 0.0;
adv.SetTime(t);
ode_solver->Init(adv);
// Create the time integrator
ODESolver *ode_solver = NULL;
CVODESolver *cvode = NULL;
ARKStepSolver *arkode = NULL;
switch (ode_solver_type)
{
case 1: ode_solver = new ForwardEulerSolver; break;
case 2: ode_solver = new RK2Solver(1.0); break;
case 3: ode_solver = new RK3SSPSolver; break;
case 4: ode_solver = new RK4Solver; break;
case 6: ode_solver = new RK6Solver; break;
case 7:
cvode = new CVODESolver(MPI_COMM_WORLD, CV_ADAMS);
cvode->Init(adv);
cvode->SetSStolerances(reltol, abstol);
cvode->SetMaxStep(dt);
cvode->UseSundialsLinearSolver();
ode_solver = cvode; break;
case 8:
case 9:
arkode = new ARKStepSolver(MPI_COMM_WORLD, ARKStepSolver::EXPLICIT);
arkode->Init(adv);
arkode->SetSStolerances(reltol, abstol);
arkode->SetMaxStep(dt);
if (ode_solver_type == 9) { arkode->SetERKTableNum(FEHLBERG_13_7_8); }
ode_solver = arkode; break;
}
// Initialize MFEM integrators, SUNDIALS integrators are initialized above
if (ode_solver_type < 7) { ode_solver->Init(adv); }
// 10. Perform time-integration (looping over the time iterations, ti,
// with a time-step dt).
bool done = false;
for (int ti = 0; !done; )
{
+3 -3
View File
@@ -60,15 +60,15 @@ PARALLEL_NAME := Parallel SUNDIALS example
@$(call mfem-test,$<,, $(SERIAL_NAME))
# Testing: Specific execution options:
# Example 9: test CVODE with CV_ADAMS (non-stiff implicit) time stepping
EX9_COMMON_ARGS := -m ../../data/periodic-hexagon.mesh -p 0 -s 7
# Example 9: test explicit CVODE time stepping
EX9_COMMON_ARGS := -m ../../data/periodic-hexagon.mesh -p 0 -s 11
EX9_ARGS := $(EX9_COMMON_ARGS) -r 2 -dt 0.0018 -vs 25
EX9P_ARGS := $(EX9_COMMON_ARGS) -rp 1 -dt 0.0009 -vs 50
ex9-test-seq: ex9
@$(call mfem-test,$<,, $(SERIAL_NAME),$(EX9_ARGS))
ex9p-test-par: ex9p
@$(call mfem-test,$<, $(RUN_MPI), $(PARALLEL_NAME),$(EX9P_ARGS))
# Example 10: test CVODE with CV_BDF (stiff implicit) time stepping
# Example 10: test implicit CVODE time stepping
EX10_COMMON_ARGS := -m ../../data/beam-quad.mesh -o 2 -s 5 -dt 0.15 -tf 6 -vs 10
EX10_ARGS := $(EX10_COMMON_ARGS) -r 2
EX10P_ARGS := $(EX10_COMMON_ARGS) -rp 1
+2 -2
View File
@@ -13,8 +13,7 @@ set(SRCS
bilinearform.cpp
bilinearform_ext.cpp
bilininteg.cpp
bilininteg_diffusion.cpp
bilininteg_mass.cpp
bilininteg_ext.cpp
coefficient.cpp
datacollection.cpp
eltrans.cpp
@@ -38,6 +37,7 @@ set(HDRS
bilinearform.hpp
bilinearform_ext.hpp
bilininteg.hpp
bilininteg_ext.hpp
coefficient.hpp
datacollection.hpp
eltrans.hpp
+55 -272
View File
@@ -55,7 +55,7 @@ void BilinearForm::AllocMat()
int *I = dof_dof.GetI();
int *J = dof_dof.GetJ();
double *data = new double[I[height]];
double *data = mfem::New<double>(I[height]);
mat = new SparseMatrix(I, J, data, height, height, true, true, true);
*mat = 0.0;
@@ -122,7 +122,11 @@ void BilinearForm::SetAssemblyLevel(AssemblyLevel assembly_level)
switch (assembly)
{
case AssemblyLevel::FULL:
// ext = new FABilinearFormExtension(this);
if (Device::IsEnabled())
{
mfem_error("Full assembly not supported yet in device mode!");
// ext = new FABilinearFormExtension(this);
}
// Use the original BilinearForm implementation for now
break;
case AssemblyLevel::ELEMENT:
@@ -294,33 +298,6 @@ void BilinearForm::ComputeElementMatrix(int i, DenseMatrix &elmat)
}
}
void BilinearForm::ComputeBdrElementMatrix(int i, DenseMatrix &elmat)
{
if (bbfi.Size())
{
const FiniteElement &be = *fes->GetBE(i);
ElementTransformation *eltrans = fes->GetBdrElementTransformation(i);
bbfi[0]->AssembleElementMatrix(be, *eltrans, elmat);
for (int k = 1; k < bbfi.Size(); k++)
{
bbfi[k]->AssembleElementMatrix(be, *eltrans, elemmat);
elmat += elemmat;
}
}
else
{
fes->GetBdrElementVDofs(i, vdofs);
elmat.SetSize(vdofs.Size());
elmat = 0.0;
}
}
void BilinearForm::AssembleElementMatrix(
int i, const DenseMatrix &elmat, int skip_zeros)
{
AssembleElementMatrix(i, elmat, vdofs, skip_zeros);
}
void BilinearForm::AssembleElementMatrix(
int i, const DenseMatrix &elmat, Array<int> &vdofs, int skip_zeros)
{
@@ -343,12 +320,6 @@ void BilinearForm::AssembleElementMatrix(
}
}
void BilinearForm::AssembleBdrElementMatrix(
int i, const DenseMatrix &elmat, int skip_zeros)
{
AssembleBdrElementMatrix(i, elmat, vdofs, skip_zeros);
}
void BilinearForm::AssembleBdrElementMatrix(
int i, const DenseMatrix &elmat, Array<int> &vdofs, int skip_zeros)
{
@@ -373,6 +344,11 @@ void BilinearForm::AssembleBdrElementMatrix(
void BilinearForm::Assemble(int skip_zeros)
{
if (Device::IsEnabled() && (assembly != AssemblyLevel::PARTIAL))
{
mfem_error("Chosen assembly level not supported yet in device mode!");
}
if (ext)
{
ext->Assemble();
@@ -616,6 +592,10 @@ void BilinearForm::FormLinearSystem(const Array<int> &ess_tdof_list, Vector &x,
if (ext)
{
if (P != NULL && assembly != AssemblyLevel::FULL && Device::IsEnabled())
{
P->BuildTranspose();
}
ext->FormLinearSystem(ess_tdof_list, x, b, A, X, B, copy_interior);
return;
}
@@ -645,8 +625,8 @@ void BilinearForm::FormLinearSystem(const Array<int> &ess_tdof_list, Vector &x,
{
// A, X and B point to the same data as mat, x and b
EliminateVDofsInRHS(ess_tdof_list, x, b);
X.NewMemoryAndSize(x.GetMemory(), x.Size(), false);
B.NewMemoryAndSize(b.GetMemory(), b.Size(), false);
X.NewDataAndSize(x.GetData(), x.Size());
B.NewDataAndSize(b.GetData(), b.Size());
if (!copy_interior) { X.SetSubVectorComplement(ess_tdof_list, 0.0); }
}
}
@@ -747,10 +727,6 @@ void BilinearForm::RecoverFEMSolution(const Vector &X,
else
{
// X and x point to the same data
// If the validity flags of X's Memory were changed (e.g. if it was
// moved to device memory) then we need to tell x about that.
x.SyncMemory(X);
}
}
else // non-conforming space
@@ -1049,13 +1025,9 @@ MixedBilinearForm::MixedBilinearForm (FiniteElementSpace *tr_fes,
extern_bfs = 1;
// Copy the pointers to the integrators
dbfi = mbf->dbfi;
bbfi = mbf->bbfi;
tfbfi = mbf->tfbfi;
btfbfi = mbf->btfbfi;
bbfi_marker = mbf->bbfi_marker;
btfbfi_marker = mbf->btfbfi_marker;
dom = mbf->dom;
bdr = mbf->bdr;
skt = mbf->skt;
}
double & MixedBilinearForm::Elem (int i, int j)
@@ -1109,42 +1081,22 @@ void MixedBilinearForm::GetBlocks(Array2D<SparseMatrix *> &blocks) const
void MixedBilinearForm::AddDomainIntegrator (BilinearFormIntegrator * bfi)
{
dbfi.Append (bfi);
dom.Append (bfi);
}
void MixedBilinearForm::AddBoundaryIntegrator (BilinearFormIntegrator * bfi)
{
bbfi.Append (bfi);
bbfi_marker.Append(NULL); // NULL marker means apply everywhere
}
void MixedBilinearForm::AddBoundaryIntegrator (BilinearFormIntegrator * bfi,
Array<int> &bdr_marker)
{
bbfi.Append (bfi);
bbfi_marker.Append(&bdr_marker);
bdr.Append (bfi);
}
void MixedBilinearForm::AddTraceFaceIntegrator (BilinearFormIntegrator * bfi)
{
tfbfi.Append (bfi);
}
void MixedBilinearForm::AddBdrTraceFaceIntegrator(BilinearFormIntegrator *bfi)
{
btfbfi.Append(bfi);
btfbfi_marker.Append(NULL); // NULL marker means apply everywhere
}
void MixedBilinearForm::AddBdrTraceFaceIntegrator(BilinearFormIntegrator *bfi,
Array<int> &bdr_marker)
{
btfbfi.Append(bfi);
btfbfi_marker.Append(&bdr_marker);
skt.Append (bfi);
}
void MixedBilinearForm::Assemble (int skip_zeros)
{
int i, k;
Array<int> tr_vdofs, te_vdofs;
ElementTransformation *eltrans;
DenseMatrix elemmat;
@@ -1156,75 +1108,48 @@ void MixedBilinearForm::Assemble (int skip_zeros)
mat = new SparseMatrix(height, width);
}
if (dbfi.Size())
if (dom.Size())
{
for (int i = 0; i < test_fes -> GetNE(); i++)
for (i = 0; i < test_fes -> GetNE(); i++)
{
trial_fes -> GetElementVDofs (i, tr_vdofs);
test_fes -> GetElementVDofs (i, te_vdofs);
eltrans = test_fes -> GetElementTransformation (i);
for (int k = 0; k < dbfi.Size(); k++)
for (k = 0; k < dom.Size(); k++)
{
dbfi[k] -> AssembleElementMatrix2 (*trial_fes -> GetFE(i),
*test_fes -> GetFE(i),
*eltrans, elemmat);
dom[k] -> AssembleElementMatrix2 (*trial_fes -> GetFE(i),
*test_fes -> GetFE(i),
*eltrans, elemmat);
mat -> AddSubMatrix (te_vdofs, tr_vdofs, elemmat, skip_zeros);
}
}
}
if (bbfi.Size())
if (bdr.Size())
{
// Which boundary attributes need to be processed?
Array<int> bdr_attr_marker(mesh->bdr_attributes.Size() ?
mesh->bdr_attributes.Max() : 0);
bdr_attr_marker = 0;
for (int k = 0; k < bbfi.Size(); k++)
for (i = 0; i < test_fes -> GetNBE(); i++)
{
if (bbfi_marker[k] == NULL)
{
bdr_attr_marker = 1;
break;
}
Array<int> &bdr_marker = *bbfi_marker[k];
MFEM_ASSERT(bdr_marker.Size() == bdr_attr_marker.Size(),
"invalid boundary marker for boundary integrator #"
<< k << ", counting from zero");
for (int i = 0; i < bdr_attr_marker.Size(); i++)
{
bdr_attr_marker[i] |= bdr_marker[i];
}
}
for (int i = 0; i < test_fes -> GetNBE(); i++)
{
const int bdr_attr = mesh->GetBdrAttribute(i);
if (bdr_attr_marker[bdr_attr-1] == 0) { continue; }
trial_fes -> GetBdrElementVDofs (i, tr_vdofs);
test_fes -> GetBdrElementVDofs (i, te_vdofs);
eltrans = test_fes -> GetBdrElementTransformation (i);
for (int k = 0; k < bbfi.Size(); k++)
for (k = 0; k < bdr.Size(); k++)
{
if (bbfi_marker[k] &&
(*bbfi_marker[k])[bdr_attr-1] == 0) { continue; }
bbfi[k] -> AssembleElementMatrix2 (*trial_fes -> GetBE(i),
*test_fes -> GetBE(i),
*eltrans, elemmat);
bdr[k] -> AssembleElementMatrix2 (*trial_fes -> GetBE(i),
*test_fes -> GetBE(i),
*eltrans, elemmat);
mat -> AddSubMatrix (te_vdofs, tr_vdofs, elemmat, skip_zeros);
}
}
}
if (tfbfi.Size())
if (skt.Size())
{
FaceElementTransformations *ftr;
Array<int> te_vdofs2;
const FiniteElement *trial_face_fe, *test_fe1, *test_fe2;
int nfaces = mesh->GetNumFaces();
for (int i = 0; i < nfaces; i++)
for (i = 0; i < nfaces; i++)
{
ftr = mesh->GetFaceElementTransformations(i);
trial_fes->GetFaceVDofs(i, tr_vdofs);
@@ -1244,70 +1169,14 @@ void MixedBilinearForm::Assemble (int skip_zeros)
// want to actually make a fake element.
test_fe2 = test_fe1;
}
for (int k = 0; k < tfbfi.Size(); k++)
for (int k = 0; k < skt.Size(); k++)
{
tfbfi[k]->AssembleFaceMatrix(*trial_face_fe, *test_fe1, *test_fe2,
*ftr, elemmat);
skt[k]->AssembleFaceMatrix(*trial_face_fe, *test_fe1, *test_fe2,
*ftr, elemmat);
mat->AddSubMatrix(te_vdofs, tr_vdofs, elemmat, skip_zeros);
}
}
}
if (btfbfi.Size())
{
FaceElementTransformations *ftr;
Array<int> te_vdofs2;
const FiniteElement *trial_face_fe, *test_fe1, *test_fe2;
// Which boundary attributes need to be processed?
Array<int> bdr_attr_marker(mesh->bdr_attributes.Size() ?
mesh->bdr_attributes.Max() : 0);
bdr_attr_marker = 0;
for (int k = 0; k < btfbfi.Size(); k++)
{
if (btfbfi_marker[k] == NULL)
{
bdr_attr_marker = 1;
break;
}
Array<int> &bdr_marker = *btfbfi_marker[k];
MFEM_ASSERT(bdr_marker.Size() == bdr_attr_marker.Size(),
"invalid boundary marker for boundary trace face integrator #"
<< k << ", counting from zero");
for (int i = 0; i < bdr_attr_marker.Size(); i++)
{
bdr_attr_marker[i] |= bdr_marker[i];
}
}
for (int i = 0; i < trial_fes -> GetNBE(); i++)
{
const int bdr_attr = mesh->GetBdrAttribute(i);
if (bdr_attr_marker[bdr_attr-1] == 0) { continue; }
ftr = mesh->GetBdrFaceTransformations(i);
if (ftr)
{
trial_fes->GetFaceVDofs(i, tr_vdofs);
test_fes->GetElementVDofs(ftr->Elem1No, te_vdofs);
trial_face_fe = trial_fes->GetFaceElement(i);
test_fe1 = test_fes->GetFE(ftr->Elem1No);
// The test_fe2 object is really a dummy and not used on the
// boundaries, but we can't dereference a NULL pointer, and we don't
// want to actually make a fake element.
test_fe2 = test_fe1;
for (int k = 0; k < btfbfi.Size(); k++)
{
if (btfbfi_marker[k] &&
(*btfbfi_marker[k])[bdr_attr-1] == 0) { continue; }
btfbfi[k]->AssembleFaceMatrix(*trial_face_fe, *test_fe1, *test_fe2,
*ftr, elemmat);
mat->AddSubMatrix(te_vdofs, tr_vdofs, elemmat, skip_zeros);
}
}
}
}
}
void MixedBilinearForm::ConformingAssemble()
@@ -1336,93 +1205,8 @@ void MixedBilinearForm::ConformingAssemble()
width = mat->Width();
}
void MixedBilinearForm::ComputeElementMatrix(int i, DenseMatrix &elmat)
{
if (dbfi.Size())
{
const FiniteElement &trial_fe = *trial_fes->GetFE(i);
const FiniteElement &test_fe = *test_fes->GetFE(i);
ElementTransformation *eltrans = test_fes->GetElementTransformation(i);
dbfi[0]->AssembleElementMatrix2(trial_fe, test_fe, *eltrans, elmat);
for (int k = 1; k < dbfi.Size(); k++)
{
dbfi[k]->AssembleElementMatrix2(trial_fe, test_fe, *eltrans, elemmat);
elmat += elemmat;
}
}
else
{
trial_fes->GetElementVDofs(i, trial_vdofs);
test_fes->GetElementVDofs(i, test_vdofs);
elmat.SetSize(test_vdofs.Size(), trial_vdofs.Size());
elmat = 0.0;
}
}
void MixedBilinearForm::ComputeBdrElementMatrix(int i, DenseMatrix &elmat)
{
if (bbfi.Size())
{
const FiniteElement &trial_be = *trial_fes->GetBE(i);
const FiniteElement &test_be = *test_fes->GetBE(i);
ElementTransformation *eltrans = test_fes->GetBdrElementTransformation(i);
bbfi[0]->AssembleElementMatrix2(trial_be, test_be, *eltrans, elmat);
for (int k = 1; k < bbfi.Size(); k++)
{
bbfi[k]->AssembleElementMatrix2(trial_be, test_be, *eltrans, elemmat);
elmat += elemmat;
}
}
else
{
trial_fes->GetBdrElementVDofs(i, trial_vdofs);
test_fes->GetBdrElementVDofs(i, test_vdofs);
elmat.SetSize(test_vdofs.Size(), trial_vdofs.Size());
elmat = 0.0;
}
}
void MixedBilinearForm::AssembleElementMatrix(
int i, const DenseMatrix &elmat, int skip_zeros)
{
AssembleElementMatrix(i, elmat, trial_vdofs, test_vdofs, skip_zeros);
}
void MixedBilinearForm::AssembleElementMatrix(
int i, const DenseMatrix &elmat, Array<int> &trial_vdofs,
Array<int> &test_vdofs, int skip_zeros)
{
trial_fes->GetElementVDofs(i, trial_vdofs);
test_fes->GetElementVDofs(i, test_vdofs);
if (mat == NULL)
{
mat = new SparseMatrix(height, width);
}
mat->AddSubMatrix(test_vdofs, trial_vdofs, elmat, skip_zeros);
}
void MixedBilinearForm::AssembleBdrElementMatrix(
int i, const DenseMatrix &elmat, int skip_zeros)
{
AssembleBdrElementMatrix(i, elmat, trial_vdofs, test_vdofs, skip_zeros);
}
void MixedBilinearForm::AssembleBdrElementMatrix(
int i, const DenseMatrix &elmat, Array<int> &trial_vdofs,
Array<int> &test_vdofs, int skip_zeros)
{
trial_fes->GetBdrElementVDofs(i, trial_vdofs);
test_fes->GetBdrElementVDofs(i, test_vdofs);
if (mat == NULL)
{
mat = new SparseMatrix(height, width);
}
mat->AddSubMatrix(test_vdofs, trial_vdofs, elmat, skip_zeros);
}
void MixedBilinearForm::EliminateTrialDofs (
const Array<int> &bdr_attr_is_ess, const Vector &sol, Vector &rhs )
Array<int> &bdr_attr_is_ess, const Vector &sol, Vector &rhs )
{
int i, j, k;
Array<int> tr_vdofs, cols_marker (trial_fes -> GetVSize());
@@ -1445,12 +1229,12 @@ void MixedBilinearForm::EliminateTrialDofs (
}
void MixedBilinearForm::EliminateEssentialBCFromTrialDofs (
const Array<int> &marked_vdofs, const Vector &sol, Vector &rhs)
Array<int> &marked_vdofs, const Vector &sol, Vector &rhs)
{
mat -> EliminateCols (marked_vdofs, &sol, &rhs);
}
void MixedBilinearForm::EliminateTestDofs (const Array<int> &bdr_attr_is_ess)
void MixedBilinearForm::EliminateTestDofs (Array<int> &bdr_attr_is_ess)
{
int i, j, k;
Array<int> te_vdofs;
@@ -1484,10 +1268,9 @@ MixedBilinearForm::~MixedBilinearForm()
if (!extern_bfs)
{
int i;
for (i = 0; i < dbfi.Size(); i++) { delete dbfi[i]; }
for (i = 0; i < bbfi.Size(); i++) { delete bbfi[i]; }
for (i = 0; i < tfbfi.Size(); i++) { delete tfbfi[i]; }
for (i = 0; i < btfbfi.Size(); i++) { delete btfbfi[i]; }
for (i = 0; i < dom.Size(); i++) { delete dom[i]; }
for (i = 0; i < bdr.Size(); i++) { delete bdr[i]; }
for (i = 0; i < skt.Size(); i++) { delete skt[i]; }
}
}
@@ -1504,7 +1287,7 @@ void DiscreteLinearOperator::Assemble(int skip_zeros)
mat = new SparseMatrix(height, width);
}
if (dbfi.Size() > 0)
if (dom.Size() > 0)
{
for (int i = 0; i < test_fes->GetNE(); i++)
{
@@ -1514,17 +1297,17 @@ void DiscreteLinearOperator::Assemble(int skip_zeros)
dom_fe = trial_fes->GetFE(i);
ran_fe = test_fes->GetFE(i);
dbfi[0]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, totelmat);
for (int j = 1; j < dbfi.Size(); j++)
dom[0]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, totelmat);
for (int j = 1; j < dom.Size(); j++)
{
dbfi[j]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, elmat);
dom[j]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, elmat);
totelmat += elmat;
}
mat->SetSubMatrix(ran_vdofs, dom_vdofs, totelmat, skip_zeros);
}
}
if (tfbfi.Size())
if (skt.Size())
{
const int nfaces = test_fes->GetMesh()->GetNumFaces();
for (int i = 0; i < nfaces; i++)
@@ -1535,10 +1318,10 @@ void DiscreteLinearOperator::Assemble(int skip_zeros)
dom_fe = trial_fes->GetFaceElement(i);
ran_fe = test_fes->GetFaceElement(i);
tfbfi[0]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, totelmat);
for (int j = 1; j < tfbfi.Size(); j++)
skt[0]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, totelmat);
for (int j = 1; j < skt.Size(); j++)
{
tfbfi[j]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, elmat);
skt[j]->AssembleElementMatrix2(*dom_fe, *ran_fe, *T, elmat);
totelmat += elmat;
}
mat->SetSubMatrix(ran_vdofs, dom_vdofs, totelmat, skip_zeros);
+12 -130
View File
@@ -413,49 +413,9 @@ public:
void FreeElementMatrices()
{ delete element_matrices; element_matrices = NULL; }
/// Compute the element matrix of the given element
/** The element matrix is computed by calling the domain integrators
or the one stored internally by a prior call of ComputeElementMatrices()
is returned when available.
*/
void ComputeElementMatrix(int i, DenseMatrix &elmat);
/// Compute the boundary element matrix of the given boundary element
void ComputeBdrElementMatrix(int i, DenseMatrix &elmat);
/// Assemble the given element matrix
/** The element matrix @a elmat is assembled for the element @a i, i.e.
added to the system matrix. The flag @a skip_zeros skips the zero
elements of the matrix, unless they are breaking the symmetry of
the system matrix.
*/
void AssembleElementMatrix(int i, const DenseMatrix &elmat,
int skip_zeros = 1);
/// Assemble the given element matrix
/** The element matrix @a elmat is assembled for the element @a i, i.e.
added to the system matrix. The vdofs of the element are returned
in @a vdofs. The flag @a skip_zeros skips the zero elements of the
matrix, unless they are breaking the symmetry of the system matrix.
*/
void AssembleElementMatrix(int i, const DenseMatrix &elmat,
Array<int> &vdofs, int skip_zeros = 1);
/// Assemble the given boundary element matrix
/** The boundary element matrix @a elmat is assembled for the boundary
element @a i, i.e. added to the system matrix. The flag @a skip_zeros
skips the zero elements of the matrix, unless they are breaking the
symmetry of the system matrix.
*/
void AssembleBdrElementMatrix(int i, const DenseMatrix &elmat,
int skip_zeros = 1);
/// Assemble the given boundary element matrix
/** The boundary element matrix @a elmat is assembled for the boundary
element @a i, i.e. added to the system matrix. The vdofs of the element
are returned in @a vdofs. The flag @a skip_zeros skips the zero elements
of the matrix, unless they are breaking the symmetry of the system matrix.
*/
void AssembleBdrElementMatrix(int i, const DenseMatrix &elmat,
Array<int> &vdofs, int skip_zeros = 1);
@@ -553,26 +513,16 @@ protected:
FiniteElementSpace *trial_fes, ///< Not owned
*test_fes; ///< Not owned
/** @brief Indicates the BilinearFormIntegrator%s stored in #dbfi, #bbfi,
#tfbfi and #btfbfi are owned by another MixedBilinearForm. */
/** @brief Indicates the BilinearFormIntegrator%s stored in #dom, #bdr, and
#skt are owned by another MixedBilinearForm. */
int extern_bfs;
/// Domain integrators.
Array<BilinearFormIntegrator*> dbfi;
Array<BilinearFormIntegrator*> dom;
/// Boundary integrators.
Array<BilinearFormIntegrator*> bbfi;
Array<Array<int>*> bbfi_marker;///< Entries are not owned.
Array<BilinearFormIntegrator*> bdr;
/// Trace face (skeleton) integrators.
Array<BilinearFormIntegrator*> tfbfi;
/// Boundary trace face (skeleton) integrators.
Array<BilinearFormIntegrator*> btfbfi;
Array<Array<int>*> btfbfi_marker;///< Entries are not owned.
DenseMatrix elemmat;
Array<int> trial_vdofs, test_vdofs;
Array<BilinearFormIntegrator*> skt;
private:
/// Copy construction is not supported; body is undefined.
@@ -636,10 +586,6 @@ public:
/// Adds a boundary integrator. Assumes ownership of @a bfi.
void AddBoundaryIntegrator(BilinearFormIntegrator *bfi);
/// Adds a boundary integrator. Assumes ownership of @a bfi.
void AddBoundaryIntegrator (BilinearFormIntegrator * bfi,
Array<int> &bdr_marker);
/** @brief Add a trace face integrator. Assumes ownership of @a bfi.
This type of integrator assembles terms over all faces of the mesh using
@@ -647,32 +593,14 @@ public:
test space. */
void AddTraceFaceIntegrator(BilinearFormIntegrator *bfi);
/// Adds a boundary trace face integrator. Assumes ownership of @a bfi.
void AddBdrTraceFaceIntegrator (BilinearFormIntegrator * bfi);
/// Adds a boundary trace face integrator. Assumes ownership of @a bfi.
void AddBdrTraceFaceIntegrator (BilinearFormIntegrator * bfi,
Array<int> &bdr_marker);
/// Access all integrators added with AddDomainIntegrator().
Array<BilinearFormIntegrator*> *GetDBFI() { return &dbfi; }
Array<BilinearFormIntegrator*> *GetDBFI() { return &dom; }
/// Access all integrators added with AddBoundaryIntegrator().
Array<BilinearFormIntegrator*> *GetBBFI() { return &bbfi; }
/** @brief Access all boundary markers added with AddBoundaryIntegrator().
If no marker was specified when the integrator was added, the
corresponding pointer (to Array<int>) will be NULL. */
Array<Array<int>*> *GetBBFI_Marker() { return &bbfi_marker; }
Array<BilinearFormIntegrator*> *GetBBFI() { return &bdr; }
/// Access all integrators added with AddTraceFaceIntegrator().
Array<BilinearFormIntegrator*> *GetTFBFI() { return &tfbfi; }
/// Access all integrators added with AddBdrTraceFaceIntegrator().
Array<BilinearFormIntegrator*> *GetBTFBFI() { return &btfbfi; }
/** @brief Access all boundary markers added with AddBdrTraceFaceIntegrator().
If no marker was specified when the integrator was added, the
corresponding pointer (to Array<int>) will be NULL. */
Array<Array<int>*> *GetBTFBFI_Marker() { return &btfbfi_marker; }
Array<BilinearFormIntegrator*> *GetTFBFI() { return &skt; }
void operator=(const double a) { *mat = a; }
@@ -685,59 +613,13 @@ public:
MixedBilinearForm becomes an operator on the conforming FE spaces. */
void ConformingAssemble();
/// Compute the element matrix of the given element
void ComputeElementMatrix(int i, DenseMatrix &elmat);
/// Compute the boundary element matrix of the given boundary element
void ComputeBdrElementMatrix(int i, DenseMatrix &elmat);
/// Assemble the given element matrix
/** The element matrix @a elmat is assembled for the element @a i, i.e.
added to the system matrix. The flag @a skip_zeros skips the zero
elements of the matrix, unless they are breaking the symmetry of
the system matrix.
*/
void AssembleElementMatrix(int i, const DenseMatrix &elmat,
int skip_zeros = 1);
/// Assemble the given element matrix
/** The element matrix @a elmat is assembled for the element @a i, i.e.
added to the system matrix. The vdofs of the element are returned
in @a trial_vdofs and @a test_vdofs. The flag @a skip_zeros skips
the zero elements of the matrix, unless they are breaking the symmetry
of the system matrix.
*/
void AssembleElementMatrix(int i, const DenseMatrix &elmat,
Array<int> &trial_vdofs, Array<int> &test_vdofs,
int skip_zeros = 1);
/// Assemble the given boundary element matrix
/** The boundary element matrix @a elmat is assembled for the boundary
element @a i, i.e. added to the system matrix. The flag @a skip_zeros
skips the zero elements of the matrix, unless they are breaking the
symmetry of the system matrix.
*/
void AssembleBdrElementMatrix(int i, const DenseMatrix &elmat,
int skip_zeros = 1);
/// Assemble the given boundary element matrix
/** The boundary element matrix @a elmat is assembled for the boundary
element @a i, i.e. added to the system matrix. The vdofs of the element
are returned in @a trial_vdofs and @a test_vdofs. The flag @a skip_zeros
skips the zero elements of the matrix, unless they are breaking the
symmetry of the system matrix.
*/
void AssembleBdrElementMatrix(int i, const DenseMatrix &elmat,
Array<int> &trial_vdofs, Array<int> &test_vdofs,
int skip_zeros = 1);
void EliminateTrialDofs(const Array<int> &bdr_attr_is_ess,
void EliminateTrialDofs(Array<int> &bdr_attr_is_ess,
const Vector &sol, Vector &rhs);
void EliminateEssentialBCFromTrialDofs(const Array<int> &marked_vdofs,
void EliminateEssentialBCFromTrialDofs(Array<int> &marked_vdofs,
const Vector &sol, Vector &rhs);
virtual void EliminateTestDofs(const Array<int> &bdr_attr_is_ess);
virtual void EliminateTestDofs(Array<int> &bdr_attr_is_ess);
void Update();
@@ -802,7 +684,7 @@ public:
{ AddTraceFaceIntegrator(di); }
/// Access all interpolators added with AddDomainInterpolator().
Array<BilinearFormIntegrator*> *GetDI() { return &dbfi; }
Array<BilinearFormIntegrator*> *GetDI() { return &dom; }
/** @brief Construct the internal matrix representation of the discrete
linear operator. */
+135 -50
View File
@@ -36,18 +36,16 @@ const Operator *BilinearFormExtension::GetRestriction() const
// Data and methods for partially-assembled bilinear forms
PABilinearFormExtension::PABilinearFormExtension(BilinearForm *form)
: BilinearFormExtension(form),
trialFes(a->FESpace()), testFes(a->FESpace())
PABilinearFormExtension::PABilinearFormExtension(BilinearForm *form) :
BilinearFormExtension(form),
trialFes(a->FESpace()), testFes(a->FESpace()),
localX(trialFes->GetNE() * trialFes->GetFE(0)->GetDof() * trialFes->GetVDim()),
localY( testFes->GetNE() * testFes->GetFE(0)->GetDof() * testFes->GetVDim()),
elem_restrict(new ElemRestriction(*a->FESpace())) { }
PABilinearFormExtension::~PABilinearFormExtension()
{
elem_restrict_lex = trialFes->GetElementRestriction(
ElementDofOrdering::LEXICOGRAPHIC);
if (elem_restrict_lex)
{
localX.SetSize(elem_restrict_lex->Height(), Device::GetMemoryType());
localY.SetSize(elem_restrict_lex->Height(), Device::GetMemoryType());
localY.UseDevice(true); // ensure 'localY = 0.0' is done on device
}
delete elem_restrict;
}
void PABilinearFormExtension::Assemble()
@@ -56,7 +54,7 @@ void PABilinearFormExtension::Assemble()
const int integratorCount = integrators.Size();
for (int i = 0; i < integratorCount; ++i)
{
integrators[i]->AssemblePA(*a->FESpace());
integrators[i]->Assemble(*a->FESpace());
}
}
@@ -66,13 +64,12 @@ void PABilinearFormExtension::Update()
height = width = fes->GetVSize();
trialFes = fes;
testFes = fes;
elem_restrict_lex = trialFes->GetElementRestriction(
ElementDofOrdering::LEXICOGRAPHIC);
if (elem_restrict_lex)
{
localX.SetSize(elem_restrict_lex->Height());
localY.SetSize(elem_restrict_lex->Height());
}
localX.SetSize(trialFes->GetNE() * trialFes->GetFE(0)->GetDof() *
trialFes->GetVDim());
localY.SetSize(testFes->GetNE() * testFes->GetFE(0)->GetDof() *
testFes->GetVDim());
delete elem_restrict;
elem_restrict = new ElemRestriction(*fes);
}
void PABilinearFormExtension::FormSystemMatrix(const Array<int> &ess_tdof_list,
@@ -100,52 +97,140 @@ void PABilinearFormExtension::FormLinearSystem(const Array<int> &ess_tdof_list,
void PABilinearFormExtension::Mult(const Vector &x, Vector &y) const
{
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
elem_restrict->Mult(x, localX);
localY = 0.0;
const int iSz = integrators.Size();
if (elem_restrict_lex)
for (int i = 0; i < iSz; ++i)
{
elem_restrict_lex->Mult(x, localX);
localY = 0.0;
for (int i = 0; i < iSz; ++i)
{
integrators[i]->AddMultPA(localX, localY);
}
elem_restrict_lex->MultTranspose(localY, y);
}
else
{
y.UseDevice(true); // typically this is a large vector, so store on device
y = 0.0;
for (int i = 0; i < iSz; ++i)
{
integrators[i]->AddMultPA(x, y);
}
integrators[i]->MultAssembled(localX, localY);
}
elem_restrict->MultTranspose(localY, y);
}
void PABilinearFormExtension::MultTranspose(const Vector &x, Vector &y) const
{
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
elem_restrict->Mult(x, localX);
localY = 0.0;
const int iSz = integrators.Size();
if (elem_restrict_lex)
for (int i = 0; i < iSz; ++i)
{
elem_restrict_lex->Mult(x, localX);
localY = 0.0;
for (int i = 0; i < iSz; ++i)
{
integrators[i]->AddMultTransposePA(localX, localY);
}
elem_restrict_lex->MultTranspose(localY, y);
integrators[i]->MultAssembledTranspose(localX, localY);
}
else
elem_restrict->MultTranspose(localY, y);
}
ElemRestriction::ElemRestriction(const FiniteElementSpace &f)
: fes(f),
ne(fes.GetNE()),
vdim(fes.GetVDim()),
byvdim(fes.GetOrdering() == Ordering::byVDIM),
ndofs(fes.GetNDofs()),
dof(fes.GetFE(0)->GetDof()),
nedofs(ne*dof),
offsets(ndofs+1),
indices(ne*dof)
{
for (int e = 0; e < ne; ++e)
{
y.UseDevice(true);
y = 0.0;
for (int i = 0; i < iSz; ++i)
const FiniteElement *fe = fes.GetFE(e);
const TensorBasisElement* el =
dynamic_cast<const TensorBasisElement*>(fe);
if (el) { continue; }
mfem_error("Finite element not supported with partial assembly");
}
const FiniteElement *fe = fes.GetFE(0);
const TensorBasisElement* el = dynamic_cast<const TensorBasisElement*>(fe);
const Array<int> &dof_map = el->GetDofMap();
const bool dof_map_is_identity = (dof_map.Size()==0);
const Table& e2dTable = fes.GetElementToDofTable();
const int* elementMap = e2dTable.GetJ();
// We'll be keeping a count of how many local nodes point to its global dof
for (int i = 0; i <= ndofs; ++i)
{
offsets[i] = 0;
}
for (int e = 0; e < ne; ++e)
{
for (int d = 0; d < dof; ++d)
{
integrators[i]->AddMultTransposePA(x, y);
const int gid = elementMap[dof*e + d];
++offsets[gid + 1];
}
}
// Aggregate to find offsets for each global dof
for (int i = 1; i <= ndofs; ++i)
{
offsets[i] += offsets[i - 1];
}
// For each global dof, fill in all local nodes that point to it
for (int e = 0; e < ne; ++e)
{
for (int d = 0; d < dof; ++d)
{
const int did = dof_map_is_identity?d:dof_map[d];
const int gid = elementMap[dof*e + did];
const int lid = dof*e + d;
indices[offsets[gid]++] = lid;
}
}
// We shifted the offsets vector by 1 by using it as a counter
// Now we shift it back.
for (int i = ndofs; i > 0; --i)
{
offsets[i] = offsets[i - 1];
}
offsets[0] = 0;
}
void ElemRestriction::Mult(const Vector& x, Vector& y) const
{
const int vd = vdim;
const bool t = byvdim;
const DeviceArray d_offsets(offsets, ndofs+1);
const DeviceArray d_indices(indices, nedofs);
const DeviceMatrix d_x(x, t?vd:ndofs, t?ndofs:vd);
DeviceMatrix d_y(y, t?vd:nedofs, t?nedofs:vd);
MFEM_FORALL(i, ndofs,
{
const int offset = d_offsets[i];
const int nextOffset = d_offsets[i+1];
for (int c = 0; c < vd; ++c)
{
const double dofValue = d_x(t?c:i,t?i:c);
for (int j = offset; j < nextOffset; ++j)
{
const int idx_j = d_indices[j];
d_y(t?c:idx_j,t?idx_j:c) = dofValue;
}
}
});
}
void ElemRestriction::MultTranspose(const Vector& x, Vector& y) const
{
const int vd = vdim;
const bool t = byvdim;
const DeviceArray d_offsets(offsets, ndofs+1);
const DeviceArray d_indices(indices, nedofs);
const DeviceMatrix d_x(x, t?vd:nedofs, t?nedofs:vd);
DeviceMatrix d_y(y, t?vd:ndofs, t?ndofs:vd);
MFEM_FORALL(i, ndofs,
{
const int offset = d_offsets[i];
const int nextOffset = d_offsets[i + 1];
for (int c = 0; c < vd; ++c)
{
double dofValue = 0;
for (int j = offset; j < nextOffset; ++j)
{
const int idx_j = d_indices[j];
dofValue += d_x(t?c:idx_j,t?idx_j:c);
}
d_y(t?c:i,t?i:c) = dofValue;
}
});
}
} // namespace mfem
+23 -11
View File
@@ -14,16 +14,32 @@
#include "../config/config.hpp"
#include "fespace.hpp"
#include "../general/device.hpp"
namespace mfem
{
class BilinearForm;
/// Element restriction operator
class ElemRestriction: public Operator
{
public:
const FiniteElementSpace &fes;
const int ne;
const int vdim;
const bool byvdim;
const int ndofs;
const int dof;
const int nedofs;
Array<int> offsets;
Array<int> indices;
public:
ElemRestriction(const FiniteElementSpace&);
void Mult(const Vector &x, Vector &y) const;
void MultTranspose(const Vector &x, Vector &y) const;
};
/** @brief Class extending the BilinearForm class to support the different
AssemblyLevel%s. */
class BilinearFormExtension : public Operator
{
protected:
@@ -32,9 +48,6 @@ protected:
public:
BilinearFormExtension(BilinearForm *form);
virtual MemoryClass GetMemoryClass() const
{ return Device::GetMemoryClass(); }
/// Get the finite element space prolongation matrix
virtual const Operator *GetProlongation() const;
@@ -67,7 +80,6 @@ public:
int copy_interior = 0) {}
void Mult(const Vector &x, Vector &y) const {}
void MultTranspose(const Vector &x, Vector &y) const {}
void Update() {}
~FABilinearFormExtension() {}
};
@@ -87,7 +99,6 @@ public:
int copy_interior = 0) {}
void Mult(const Vector &x, Vector &y) const {}
void MultTranspose(const Vector &x, Vector &y) const {}
void Update() {}
~EABilinearFormExtension() {}
};
@@ -95,9 +106,9 @@ public:
class PABilinearFormExtension : public BilinearFormExtension
{
protected:
const FiniteElementSpace *trialFes, *testFes; // Not owned
const FiniteElementSpace *trialFes, *testFes;
mutable Vector localX, localY;
const Operator *elem_restrict_lex; // Not owned
ElemRestriction *elem_restrict;
public:
PABilinearFormExtension(BilinearForm*);
@@ -112,6 +123,8 @@ public:
void Mult(const Vector &x, Vector &y) const;
void MultTranspose(const Vector &x, Vector &y) const;
void Update();
~PABilinearFormExtension();
};
/// Data and methods for matrix-free bilinear forms
@@ -130,7 +143,6 @@ public:
int copy_interior = 0) {}
void Mult(const Vector &x, Vector &y) const {}
void MultTranspose(const Vector &x, Vector &y) const {}
void Update() {}
~MFBilinearFormExtension() {}
};
+102 -55
View File
@@ -19,20 +19,19 @@ using namespace std;
namespace mfem
{
void BilinearFormIntegrator::AssemblePA(const FiniteElementSpace&)
void BilinearFormIntegrator::Assemble(const FiniteElementSpace&)
{
mfem_error ("BilinearFormIntegrator::Assemble (...)\n"
" is not implemented for this class.");
}
void BilinearFormIntegrator::AddMultPA(const Vector &, Vector &) const
void BilinearFormIntegrator::MultAssembled(Vector&, Vector&)
{
mfem_error ("BilinearFormIntegrator::MultAssembled (...)\n"
" is not implemented for this class.");
}
void BilinearFormIntegrator::AddMultTransposePA(const Vector &, Vector &) const
void BilinearFormIntegrator::MultAssembledTranspose(Vector&, Vector&)
{
mfem_error ("BilinearFormIntegrator::MultAssembledTranspose (...)\n"
" is not implemented for this class.");
@@ -379,7 +378,6 @@ void MixedScalarVectorIntegrator::AssembleElementMatrix2(
}
}
void DiffusionIntegrator::AssembleElementMatrix
( const FiniteElement &el, ElementTransformation &Trans,
DenseMatrix &elmat )
@@ -399,7 +397,29 @@ void DiffusionIntegrator::AssembleElementMatrix
#endif
elmat.SetSize(nd);
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(el, el);
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int order;
if (el.Space() == FunctionSpace::Pk)
{
order = 2*el.GetOrder() - 2;
}
else
// order = 2*el.GetOrder() - 2; // <-- this seems to work fine too
{
order = 2*el.GetOrder() + dim - 1;
}
if (el.Space() == FunctionSpace::rQk)
{
ir = &RefinedIntRules.Get(el.GetGeomType(), order);
}
else
{
ir = &IntRules.Get(el.GetGeomType(), order);
}
}
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -455,7 +475,28 @@ void DiffusionIntegrator::AssembleElementMatrix2(
#endif
elmat.SetSize(te_nd, tr_nd);
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(trial_fe, test_fe);
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int order;
if (trial_fe.Space() == FunctionSpace::Pk)
{
order = trial_fe.GetOrder() + test_fe.GetOrder() - 2;
}
else
{
order = trial_fe.GetOrder() + test_fe.GetOrder() + dim - 1;
}
if (trial_fe.Space() == FunctionSpace::rQk)
{
ir = &RefinedIntRules.Get(trial_fe.GetGeomType(), order);
}
else
{
ir = &IntRules.Get(trial_fe.GetGeomType(), order);
}
}
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -510,7 +551,29 @@ void DiffusionIntegrator::AssembleElementVector(
elvect.SetSize(nd);
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(el, el);
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int order;
if (el.Space() == FunctionSpace::Pk)
{
order = 2*el.GetOrder() - 2;
}
else
// order = 2*el.GetOrder() - 2; // <-- this seems to work fine too
{
order = 2*el.GetOrder() + dim - 1;
}
if (el.Space() == FunctionSpace::rQk)
{
ir = &RefinedIntRules.Get(el.GetGeomType(), order);
}
else
{
ir = &IntRules.Get(el.GetGeomType(), order);
}
}
elvect = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -670,27 +733,6 @@ double DiffusionIntegrator::ComputeFluxEnergy
return energy;
}
const IntegrationRule &DiffusionIntegrator::GetRule(
const FiniteElement &trial_fe, const FiniteElement &test_fe)
{
int order;
if (trial_fe.Space() == FunctionSpace::Pk)
{
order = trial_fe.GetOrder() + test_fe.GetOrder() - 2;
}
else
{
// order = 2*el.GetOrder() - 2; // <-- this seems to work fine too
order = trial_fe.GetOrder() + test_fe.GetOrder() + trial_fe.GetDim() - 1;
}
if (trial_fe.Space() == FunctionSpace::rQk)
{
return RefinedIntRules.Get(trial_fe.GetGeomType(), order);
}
return IntRules.Get(trial_fe.GetGeomType(), order);
}
void MassIntegrator::AssembleElementMatrix
( const FiniteElement &el, ElementTransformation &Trans,
@@ -706,7 +748,21 @@ void MassIntegrator::AssembleElementMatrix
elmat.SetSize(nd);
shape.SetSize(nd);
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(el, el, Trans);
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
// int order = 2 * el.GetOrder();
int order = 2 * el.GetOrder() + Trans.OrderW();
if (el.Space() == FunctionSpace::rQk)
{
ir = &RefinedIntRules.Get(el.GetGeomType(), order);
}
else
{
ir = &IntRules.Get(el.GetGeomType(), order);
}
}
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -741,8 +797,13 @@ void MassIntegrator::AssembleElementMatrix2(
shape.SetSize(tr_nd);
te_shape.SetSize(te_nd);
const IntegrationRule *ir = IntRule ? IntRule :
&GetRule(trial_fe, test_fe, Trans);
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int order = trial_fe.GetOrder() + test_fe.GetOrder() + Trans.OrderW();
ir = &IntRules.Get(trial_fe.GetGeomType(), order);
}
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -763,20 +824,6 @@ void MassIntegrator::AssembleElementMatrix2(
}
}
const IntegrationRule &MassIntegrator::GetRule(const FiniteElement &trial_fe,
const FiniteElement &test_fe,
ElementTransformation &Trans)
{
// int order = trial_fe.GetOrder() + test_fe.GetOrder();
const int order = trial_fe.GetOrder() + test_fe.GetOrder() + Trans.OrderW();
if (trial_fe.Space() == FunctionSpace::rQk)
{
return RefinedIntRules.Get(trial_fe.GetGeomType(), order);
}
return IntRules.Get(trial_fe.GetGeomType(), order);
}
void BoundaryMassIntegrator::AssembleFaceMatrix(
const FiniteElement &el1, const FiniteElement &el2,
@@ -848,7 +895,7 @@ void ConvectionIntegrator::AssembleElementMatrix(
ir = &IntRules.Get(el.GetGeomType(), order);
}
Q->Eval(Q_ir, Trans, *ir);
Q.Eval(Q_ir, Trans, *ir);
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -889,7 +936,7 @@ void GroupConvectionIntegrator::AssembleElementMatrix(
ir = &IntRules.Get(el.GetGeomType(), order);
}
Q->Eval(Q_nodal, Trans, el.GetNodes()); // sets the size of Q_nodal
Q.Eval(Q_nodal, Trans, el.GetNodes()); // sets the size of Q_nodal
elmat = 0.0;
for (int i = 0; i < ir->GetNPoints(); i++)
@@ -1370,7 +1417,7 @@ void DerivativeIntegrator::AssembleElementMatrix2 (
dshapedxi(l) = dshapedxt(l,xi);
}
shape *= Q->Eval(Trans,ip) * det * ip.weight;
shape *= Q.Eval(Trans,ip) * det * ip.weight;
AddMultVWt (shape, dshapedxi, elmat);
}
}
@@ -3216,7 +3263,7 @@ ScalarProductInterpolator::AssembleElementMatrix2(const FiniteElement &dom_fe,
ElementTransformation &Trans,
DenseMatrix &elmat)
{
internal::ShapeCoefficient dom_shape_coeff(*Q, dom_fe);
internal::ShapeCoefficient dom_shape_coeff(Q, dom_fe);
elmat.SetSize(ran_fe.GetDof(),dom_fe.GetDof());
@@ -3251,7 +3298,7 @@ ScalarVectorProductInterpolator::AssembleElementMatrix2(
}
};
VShapeCoefficient dom_shape_coeff(*Q, dom_fe, Trans.GetSpaceDim());
VShapeCoefficient dom_shape_coeff(Q, dom_fe, Trans.GetSpaceDim());
elmat.SetSize(ran_fe.GetDof(),dom_fe.GetDof());
@@ -3289,7 +3336,7 @@ VectorScalarProductInterpolator::AssembleElementMatrix2(
}
};
VecShapeCoefficient dom_shape_coeff(*VQ, dom_fe);
VecShapeCoefficient dom_shape_coeff(VQ, dom_fe);
elmat.SetSize(ran_fe.GetDof(),dom_fe.GetDof());
@@ -3336,11 +3383,11 @@ VectorCrossProductInterpolator::AssembleElementMatrix2(
}
};
VCrossVShapeCoefficient dom_shape_coeff(*VQ, dom_fe);
VCrossVShapeCoefficient dom_shape_coeff(VQ, dom_fe);
if (ran_fe.GetRangeType() == FiniteElement::SCALAR)
{
elmat.SetSize(ran_fe.GetDof()*VQ->GetVDim(),dom_fe.GetDof());
elmat.SetSize(ran_fe.GetDof()*VQ.GetVDim(),dom_fe.GetDof());
}
else
{
@@ -3389,7 +3436,7 @@ VectorInnerProductInterpolator::AssembleElementMatrix2(
ElementTransformation &Trans,
DenseMatrix &elmat)
{
internal::VDotVShapeCoefficient dom_shape_coeff(*VQ, dom_fe);
internal::VDotVShapeCoefficient dom_shape_coeff(VQ, dom_fe);
elmat.SetSize(ran_fe.GetDof(),dom_fe.GetDof());
+63 -128
View File
@@ -15,6 +15,7 @@
#include "../config/config.hpp"
#include "nonlininteg.hpp"
#include "fespace.hpp"
#include "bilininteg_ext.hpp"
namespace mfem
{
@@ -22,45 +23,19 @@ namespace mfem
/// Abstract base class BilinearFormIntegrator
class BilinearFormIntegrator : public NonlinearFormIntegrator
{
protected:
BilinearFormIntegrator(const IntegrationRule *ir = NULL)
: NonlinearFormIntegrator(ir) { }
public:
BilinearFormIntegrator(const IntegrationRule *ir = NULL) :
NonlinearFormIntegrator(ir) { }
public:
// TODO: add support for other assembly levels (in addition to PA) and their
// actions.
// TODO: for mixed meshes the quadrature rules to be used by methods like
// AssemblePA() can be given as a QuadratureSpace, e.g. using a new method:
// SetQuadratureSpace().
// TODO: the methods for the various assembly levels make sense even in the
// base class NonlinearFormIntegrator, except that not all assembly levels
// make sense for the action of the nonlinear operator (but they all make
// sense for its Jacobian).
/// Method defining partial assembly.
/** The result of the partial assembly is stored internally so that it can be
used later in the methods AddMultPA() and AddMultTransposePA(). */
virtual void AssemblePA(const FiniteElementSpace &fes);
virtual void Assemble(const FiniteElementSpace&);
/// Method for partially assembled action.
/** Perform the action of integrator on the input @a x and add the result to
the output @a y. Both @a x and @a y are E-vectors, i.e. they represent
the element-wise discontinuous version of the FE space.
This method can be called only after the method AssemblePA() has been
called. */
virtual void AddMultPA(const Vector &x, Vector &y) const;
virtual void MultAssembled(Vector&, Vector&);
/// Method for partially assembled transposed action.
/** Perform the transpose action of integrator on the input @a x and add the
result to the output @a y. Both @a x and @a y are E-vectors, i.e. they
represent the element-wise discontinuous version of the FE space.
This method can be called only after the method AssemblePA() has been
called. */
virtual void AddMultTransposePA(const Vector &x, Vector &y) const;
virtual void MultAssembledTranspose(Vector&, Vector&);
/// Given a particular Finite Element computes the element matrix elmat.
virtual void AssembleElementMatrix(const FiniteElement &el,
@@ -309,10 +284,10 @@ protected:
Vector & shape)
{ trial_fe.CalcPhysShape(Trans, shape); }
Coefficient *Q;
private:
Coefficient *Q;
#ifndef MFEM_THREAD_SAFE
Vector test_shape;
Vector trial_shape;
@@ -383,13 +358,13 @@ protected:
DenseMatrix & shape)
{ trial_fe.CalcVShape(Trans, shape); }
private:
Coefficient *Q;
VectorCoefficient *VQ;
VectorCoefficient *DQ;
MatrixCoefficient *MQ;
private:
#ifndef MFEM_THREAD_SAFE
Vector V;
Vector D;
@@ -464,12 +439,12 @@ protected:
Vector & shape)
{ scalar_fe.CalcPhysShape(Trans, shape); }
private:
VectorCoefficient *VQ;
bool transpose;
bool cross_2d; // In 2D use a cross product rather than a dot product
private:
#ifndef MFEM_THREAD_SAFE
Vector V;
DenseMatrix vshape;
@@ -1662,34 +1637,27 @@ protected:
can be a scalar or a matrix coefficient. */
class DiffusionIntegrator: public BilinearFormIntegrator
{
protected:
Coefficient *Q;
MatrixCoefficient *MQ;
private:
Vector vec, pointflux, shape;
#ifndef MFEM_THREAD_SAFE
DenseMatrix dshape, dshapedxt, invdfdx, mq;
DenseMatrix te_dshape, te_dshapedxt;
#endif
Coefficient *Q;
MatrixCoefficient *MQ;
// PA extension
const DofToQuad *maps; ///< Not owned
const GeometricFactors *geom; ///< Not owned
DofToQuad *maps;
GeometryExtension *geom;
int dim, ne, dofs1D, quad1D;
Vector pa_data;
public:
/// Construct a diffusion integrator with coefficient Q = 1
DiffusionIntegrator() { Q = NULL; MQ = NULL; maps = NULL; geom = NULL; }
/// Construct a diffusion integrator with a scalar coefficient q
DiffusionIntegrator(Coefficient &q)
: Q(&q) { MQ = NULL; maps = NULL; geom = NULL; }
DiffusionIntegrator (Coefficient &q) : Q(&q) { MQ = NULL; maps = NULL; geom = NULL; }
/// Construct a diffusion integrator with a matrix coefficient q
DiffusionIntegrator(MatrixCoefficient &q)
: MQ(&q) { Q = NULL; maps = NULL; geom = NULL; }
DiffusionIntegrator (MatrixCoefficient &q) : MQ(&q) { Q = NULL; maps = NULL; geom = NULL; }
/** Given a particular Finite Element
computes the element stiffness matrix elmat. */
@@ -1717,12 +1685,11 @@ public:
ElementTransformation &Trans,
Vector &flux, Vector *d_energy = NULL);
virtual void AssemblePA(const FiniteElementSpace&);
/// PA extension
virtual void Assemble(const FiniteElementSpace&);
virtual void MultAssembled(Vector&, Vector&);
virtual void AddMultPA(const Vector&, Vector&) const;
static const IntegrationRule &GetRule(const FiniteElement &trial_fe,
const FiniteElement &test_fe);
virtual ~DiffusionIntegrator();
};
/** Class for local mass matrix assembling a(u,v) := (Q u, v) */
@@ -1734,15 +1701,13 @@ protected:
#endif
Coefficient *Q;
// PA extension
Vector pa_data;
const DofToQuad *maps; ///< Not owned
const GeometricFactors *geom; ///< Not owned
Vector vec;
DofToQuad *maps;
GeometryExtension *geom;
int dim, ne, nq, dofs1D, quad1D;
public:
MassIntegrator(const IntegrationRule *ir = NULL)
: BilinearFormIntegrator(ir) { Q = NULL; maps = NULL; geom = NULL; }
/// Construct a mass integrator with coefficient q
MassIntegrator(Coefficient &q, const IntegrationRule *ir = NULL)
: BilinearFormIntegrator(ir), Q(&q) { maps = NULL; geom = NULL; }
@@ -1756,14 +1721,11 @@ public:
const FiniteElement &test_fe,
ElementTransformation &Trans,
DenseMatrix &elmat);
/// PA extension
virtual void Assemble(const FiniteElementSpace&);
virtual void MultAssembled(Vector&, Vector&);
virtual void AssemblePA(const FiniteElementSpace&);
virtual void AddMultPA(const Vector&, Vector&) const;
static const IntegrationRule &GetRule(const FiniteElement &trial_fe,
const FiniteElement &test_fe,
ElementTransformation &Trans);
virtual ~MassIntegrator();
};
class BoundaryMassIntegrator : public MassIntegrator
@@ -1782,19 +1744,17 @@ public:
/// alpha (q . grad u, v)
class ConvectionIntegrator : public BilinearFormIntegrator
{
protected:
VectorCoefficient *Q;
double alpha;
private:
#ifndef MFEM_THREAD_SAFE
DenseMatrix dshape, adjJ, Q_ir;
Vector shape, vec2, BdFidxT;
#endif
VectorCoefficient &Q;
double alpha;
public:
ConvectionIntegrator(VectorCoefficient &q, double a = 1.0)
: Q(&q) { alpha = a; }
: Q(q) { alpha = a; }
virtual void AssembleElementMatrix(const FiniteElement &,
ElementTransformation &,
DenseMatrix &);
@@ -1803,17 +1763,15 @@ public:
/// alpha (q . grad u, v) using the "group" FE discretization
class GroupConvectionIntegrator : public BilinearFormIntegrator
{
protected:
VectorCoefficient *Q;
double alpha;
private:
DenseMatrix dshape, adjJ, Q_nodal, grad;
Vector shape;
VectorCoefficient &Q;
double alpha;
public:
GroupConvectionIntegrator(VectorCoefficient &q, double a = 1.0)
: Q(&q) { alpha = a; }
: Q(q) { alpha = a; }
virtual void AssembleElementMatrix(const FiniteElement &,
ElementTransformation &,
DenseMatrix &);
@@ -1829,17 +1787,16 @@ private:
Vector shape, te_shape, vec;
DenseMatrix partelmat;
DenseMatrix mcoeff;
int Q_order;
protected:
Coefficient *Q;
VectorCoefficient *VQ;
MatrixCoefficient *MQ;
int Q_order;
public:
/// Construct an integrator with coefficient 1.0
VectorMassIntegrator()
: vdim(-1), Q_order(0), Q(NULL), VQ(NULL), MQ(NULL) { }
: vdim(-1), Q(NULL), VQ(NULL), MQ(NULL), Q_order(0) { }
/** Construct an integrator with scalar coefficient q.
If possible, save memory by using a scalar integrator since
the resulting matrix is block diagonal with the same diagonal
@@ -1878,14 +1835,11 @@ public:
does NOT depend on the ElementTransformation Trans. */
class VectorFEDivergenceIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient *Q;
private:
Coefficient *Q;
#ifndef MFEM_THREAD_SAFE
Vector divshape, shape;
#endif
public:
VectorFEDivergenceIntegrator() { Q = NULL; }
VectorFEDivergenceIntegrator(Coefficient &q) { Q = &q; }
@@ -1903,17 +1857,14 @@ public:
This is equivalent to a weak divergence of the Nedelec basis functions. */
class VectorFEWeakDivergenceIntegrator: public BilinearFormIntegrator
{
protected:
Coefficient *Q;
private:
Coefficient *Q;
#ifndef MFEM_THREAD_SAFE
DenseMatrix dshape;
DenseMatrix dshapedxt;
DenseMatrix vshape;
DenseMatrix invdfdx;
#endif
public:
VectorFEWeakDivergenceIntegrator() { Q = NULL; }
VectorFEWeakDivergenceIntegrator(Coefficient &q) { Q = &q; }
@@ -1930,16 +1881,13 @@ public:
test spaces are switched, assembles the form (u, curl v). */
class VectorFECurlIntegrator: public BilinearFormIntegrator
{
protected:
Coefficient *Q;
private:
Coefficient *Q;
#ifndef MFEM_THREAD_SAFE
DenseMatrix curlshapeTrial;
DenseMatrix vshapeTest;
DenseMatrix curlshapeTrial_dFT;
#endif
public:
VectorFECurlIntegrator() { Q = NULL; }
VectorFECurlIntegrator(Coefficient &q) { Q = &q; }
@@ -1952,19 +1900,17 @@ public:
DenseMatrix &elmat);
};
/// Class for integrating (Q D_i(u), v); u and v are scalars
class DerivativeIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient* Q;
private:
Coefficient & Q;
int xi;
DenseMatrix dshape, dshapedxt, invdfdx;
Vector shape, dshapedxi;
public:
DerivativeIntegrator(Coefficient &q, int i) : Q(&q), xi(i) { }
DerivativeIntegrator(Coefficient &q, int i) : Q(q), xi(i) { }
virtual void AssembleElementMatrix(const FiniteElement &el,
ElementTransformation &Trans,
DenseMatrix &elmat)
@@ -1984,8 +1930,6 @@ private:
DenseMatrix curlshape, curlshape_dFt, M;
DenseMatrix vshape, projcurl;
#endif
protected:
Coefficient *Q;
MatrixCoefficient *MQ;
@@ -2019,8 +1963,6 @@ private:
#ifndef MFEM_THREAD_SAFE
DenseMatrix dshape_hat, dshape, curlshape, Jadj, grad_hat, grad;
#endif
protected:
Coefficient *Q;
public:
@@ -2042,6 +1984,9 @@ public:
class VectorFEMassIntegrator: public BilinearFormIntegrator
{
private:
Coefficient *Q;
VectorCoefficient *VQ;
MatrixCoefficient *MQ;
void Init(Coefficient *q, VectorCoefficient *vq, MatrixCoefficient *mq)
{ Q = q; VQ = vq; MQ = mq; }
@@ -2053,11 +1998,6 @@ private:
DenseMatrix trial_vshape;
#endif
protected:
Coefficient *Q;
VectorCoefficient *VQ;
MatrixCoefficient *MQ;
public:
VectorFEMassIntegrator() { Init(NULL, NULL, NULL); }
VectorFEMassIntegrator(Coefficient *_q) { Init(_q, NULL, NULL); }
@@ -2080,10 +2020,9 @@ public:
scalar FE space; p is also in a (different) scalar FE space. */
class VectorDivergenceIntegrator : public BilinearFormIntegrator
{
protected:
private:
Coefficient *Q;
private:
Vector shape;
Vector divshape;
DenseMatrix dshape;
@@ -2104,10 +2043,9 @@ public:
/// (Q div u, div v) for RT elements
class DivDivIntegrator: public BilinearFormIntegrator
{
protected:
private:
Coefficient *Q;
private:
#ifndef MFEM_THREAD_SAFE
Vector divshape;
#endif
@@ -2129,10 +2067,9 @@ public:
diffusion matrix in each diagonal block. */
class VectorDiffusionIntegrator : public BilinearFormIntegrator
{
protected:
private:
Coefficient *Q;
private:
DenseMatrix Jinv;
DenseMatrix dshape;
DenseMatrix gshape;
@@ -2157,11 +2094,10 @@ public:
using multiple copies of a scalar FE space. */
class ElasticityIntegrator : public BilinearFormIntegrator
{
protected:
private:
double q_lambda, q_mu;
Coefficient *lambda, *mu;
private:
#ifndef MFEM_THREAD_SAFE
Vector shape;
DenseMatrix dshape, gshape, pelmat;
@@ -2218,12 +2154,11 @@ public:
points. */
class DGTraceIntegrator : public BilinearFormIntegrator
{
protected:
private:
Coefficient *rho;
VectorCoefficient *u;
double alpha, beta;
private:
Vector shape1, shape2;
public:
@@ -2510,7 +2445,7 @@ public:
class ScalarProductInterpolator : public DiscreteInterpolator
{
public:
ScalarProductInterpolator(Coefficient & sc) : Q(&sc) { }
ScalarProductInterpolator(Coefficient & sc) : Q(sc) { }
virtual void AssembleElementMatrix2(const FiniteElement &dom_fe,
const FiniteElement &ran_fe,
@@ -2518,7 +2453,7 @@ public:
DenseMatrix &elmat);
protected:
Coefficient *Q;
Coefficient &Q;
};
/** Interpolator of a scalar coefficient multiplied by a vector field onto
@@ -2528,14 +2463,14 @@ class ScalarVectorProductInterpolator : public DiscreteInterpolator
{
public:
ScalarVectorProductInterpolator(Coefficient & sc)
: Q(&sc) { }
: Q(sc) { }
virtual void AssembleElementMatrix2(const FiniteElement &dom_fe,
const FiniteElement &ran_fe,
ElementTransformation &Trans,
DenseMatrix &elmat);
protected:
Coefficient *Q;
Coefficient &Q;
};
/** Interpolator of a vector coefficient multiplied by a scalar field onto
@@ -2545,14 +2480,14 @@ class VectorScalarProductInterpolator : public DiscreteInterpolator
{
public:
VectorScalarProductInterpolator(VectorCoefficient & vc)
: VQ(&vc) { }
: VQ(vc) { }
virtual void AssembleElementMatrix2(const FiniteElement &dom_fe,
const FiniteElement &ran_fe,
ElementTransformation &Trans,
DenseMatrix &elmat);
protected:
VectorCoefficient *VQ;
VectorCoefficient &VQ;
};
/** Interpolator of the cross product between a vector coefficient and an
@@ -2562,14 +2497,14 @@ class VectorCrossProductInterpolator : public DiscreteInterpolator
{
public:
VectorCrossProductInterpolator(VectorCoefficient & vc)
: VQ(&vc) { }
: VQ(vc) { }
virtual void AssembleElementMatrix2(const FiniteElement &nd_fe,
const FiniteElement &rt_fe,
ElementTransformation &Trans,
DenseMatrix &elmat);
protected:
VectorCoefficient *VQ;
VectorCoefficient &VQ;
};
/** Interpolator of the inner product between a vector coefficient and an
@@ -2578,14 +2513,14 @@ protected:
class VectorInnerProductInterpolator : public DiscreteInterpolator
{
public:
VectorInnerProductInterpolator(VectorCoefficient & vc) : VQ(&vc) { }
VectorInnerProductInterpolator(VectorCoefficient & vc) : VQ(vc) { }
virtual void AssembleElementMatrix2(const FiniteElement &rt_fe,
const FiniteElement &l2_fe,
ElementTransformation &Trans,
DenseMatrix &elmat);
protected:
VectorCoefficient *VQ;
VectorCoefficient &VQ;
};
}
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+80
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@@ -0,0 +1,80 @@
// Copyright (c) 2010, Lawrence Livermore National Security, LLC. Produced at
// the Lawrence Livermore National Laboratory. LLNL-CODE-443211. All Rights
// reserved. See file COPYRIGHT for details.
//
// This file is part of the MFEM library. For more information and source code
// availability see http://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License (as published by the Free
// Software Foundation) version 2.1 dated February 1999.
#ifndef MFEM_BILININTEG_EXT
#define MFEM_BILININTEG_EXT
#include "fespace.hpp"
namespace mfem
{
/// GeometryExtension
class GeometryExtension
{
public:
Array<int> eMap;
Array<double> nodes;
Array<double> X, J, invJ, detJ;
static GeometryExtension* Get(const FiniteElementSpace&,
const IntegrationRule&);
static GeometryExtension* Get(const FiniteElementSpace&,
const IntegrationRule&,
const Vector&);
static void ReorderByVDim(const GridFunction*);
static void ReorderByNodes(const GridFunction*);
};
/// DofToQuad
class DofToQuad
{
private:
std::string hash;
public:
~DofToQuad();
void operator=(DofToQuad&);
void operator=(DofToQuad const&);
public:
Array<double> W, B, G, Bt, Gt;
public:
static DofToQuad* Get(const FiniteElementSpace&,
const IntegrationRule&,
const bool = false);
static DofToQuad* Get(const FiniteElementSpace&,
const FiniteElementSpace&,
const IntegrationRule&,
const bool = false);
static DofToQuad* Get(const FiniteElement&,
const FiniteElement&,
const IntegrationRule&,
const bool = false);
static DofToQuad* GetTensorMaps(const FiniteElement&,
const FiniteElement&,
const IntegrationRule&,
const bool = false);
static DofToQuad* GetD2QTensorMaps(const FiniteElement&,
const IntegrationRule&,
const bool = false);
static DofToQuad* GetSimplexMaps(const FiniteElement&,
const IntegrationRule&,
const bool = false);
static DofToQuad* GetSimplexMaps(const FiniteElement&,
const FiniteElement&,
const IntegrationRule&,
const bool = false);
static DofToQuad* GetD2QSimplexMaps(const FiniteElement&,
const IntegrationRule&,
const bool = false);
};
}
#endif
-789
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@@ -1,789 +0,0 @@
// Copyright (c) 2010, Lawrence Livermore National Security, LLC. Produced at
// the Lawrence Livermore National Laboratory. LLNL-CODE-443211. All Rights
// reserved. See file COPYRIGHT for details.
//
// This file is part of the MFEM library. For more information and source code
// availability see http://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License (as published by the Free
// Software Foundation) version 2.1 dated February 1999.
#include "../general/forall.hpp"
#include "bilininteg.hpp"
#include "gridfunc.hpp"
using namespace std;
namespace mfem
{
// PA Mass Integrator
// PA Mass Assemble kernel
void MassIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
// Assuming the same element type
Mesh *mesh = fes.GetMesh();
if (mesh->GetNE() == 0) { return; }
const FiniteElement &el = *fes.GetFE(0);
ElementTransformation *T = mesh->GetElementTransformation(0);
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(el, el, *T);
dim = mesh->Dimension();
ne = fes.GetMesh()->GetNE();
nq = ir->GetNPoints();
geom = mesh->GetGeometricFactors(*ir, GeometricFactors::COORDINATES |
GeometricFactors::JACOBIANS);
maps = &el.GetDofToQuad(*ir, DofToQuad::TENSOR);
dofs1D = maps->ndof;
quad1D = maps->nqpt;
pa_data.SetSize(ne*nq, Device::GetMemoryType());
ConstantCoefficient *const_coeff = dynamic_cast<ConstantCoefficient*>(Q);
// TODO: other types of coefficients ...
if (dim==1) { MFEM_ABORT("Not supported yet... stay tuned!"); }
if (dim==2)
{
double constant = 0.0;
if (const_coeff)
{
constant = const_coeff->constant;
}
else
{
MFEM_ABORT("Coefficient type not supported");
}
const int NE = ne;
const int NQ = nq;
auto w = ir->GetWeights().Read();
auto J = Reshape(geom->J.Read(), NQ,2,2,NE);
auto v = Reshape(pa_data.Write(), NQ, NE);
MFEM_FORALL(e, NE,
{
for (int q = 0; q < NQ; ++q)
{
const double J11 = J(q,0,0,e);
const double J12 = J(q,1,0,e);
const double J21 = J(q,0,1,e);
const double J22 = J(q,1,1,e);
const double detJ = (J11*J22)-(J21*J12);
v(q,e) = w[q] * constant * detJ;
}
});
}
if (dim==3)
{
double constant = 0.0;
if (const_coeff)
{
constant = const_coeff->constant;
}
else
{
MFEM_ABORT("Coefficient type not supported");
}
const int NE = ne;
const int NQ = nq;
auto W = ir->GetWeights().Read();
auto J = Reshape(geom->J.Read(), NQ,3,3,NE);
auto v = Reshape(pa_data.Write(), NQ,NE);
MFEM_FORALL(e, NE,
{
for (int q = 0; q < NQ; ++q)
{
const double J11 = J(q,0,0,e), J12 = J(q,0,1,e), J13 = J(q,0,2,e);
const double J21 = J(q,1,0,e), J22 = J(q,1,1,e), J23 = J(q,1,2,e);
const double J31 = J(q,2,0,e), J32 = J(q,2,1,e), J33 = J(q,2,2,e);
const double detJ = J11 * (J22 * J33 - J32 * J23) -
/* */ J21 * (J12 * J33 - J32 * J13) +
/* */ J31 * (J12 * J23 - J22 * J13);
v(q,e) = W[q] * constant * detJ;
}
});
}
}
#ifdef MFEM_USE_OCCA
// OCCA PA Mass Apply 2D kernel
static void OccaPAMassApply2D(const int D1D,
const int Q1D,
const int NE,
const Array<double> &B,
const Array<double> &Bt,
const Vector &op,
const Vector &x,
Vector &y)
{
occa::properties props;
props["defines/D1D"] = D1D;
props["defines/Q1D"] = Q1D;
const occa::memory o_B = OccaMemoryRead(B.GetMemory(), B.Size());
const occa::memory o_Bt = OccaMemoryRead(Bt.GetMemory(), Bt.Size());
const occa::memory o_op = OccaMemoryRead(op.GetMemory(), op.Size());
const occa::memory o_x = OccaMemoryRead(x.GetMemory(), x.Size());
occa::memory o_y = OccaMemoryReadWrite(y.GetMemory(), y.Size());
const occa_id_t id = std::make_pair(D1D,Q1D);
if (!Device::Allows(Backend::OCCA_CUDA))
{
static occa_kernel_t OccaMassApply2D_cpu;
if (OccaMassApply2D_cpu.find(id) == OccaMassApply2D_cpu.end())
{
const occa::kernel MassApply2D_CPU =
mfem::OccaDev().buildKernel("occa://mfem/fem/occa.okl",
"MassApply2D_CPU", props);
OccaMassApply2D_cpu.emplace(id, MassApply2D_CPU);
}
OccaMassApply2D_cpu.at(id)(NE, o_B, o_Bt, o_op, o_x, o_y);
}
else
{
static occa_kernel_t OccaMassApply2D_gpu;
if (OccaMassApply2D_gpu.find(id) == OccaMassApply2D_gpu.end())
{
const occa::kernel MassApply2D_GPU =
mfem::OccaDev().buildKernel("occa://mfem/fem/occa.okl",
"MassApply2D_GPU", props);
OccaMassApply2D_gpu.emplace(id, MassApply2D_GPU);
}
OccaMassApply2D_gpu.at(id)(NE, o_B, o_Bt, o_op, o_x, o_y);
}
}
// OCCA PA Mass Apply 3D kernel
static void OccaPAMassApply3D(const int D1D,
const int Q1D,
const int NE,
const Array<double> &B,
const Array<double> &Bt,
const Vector &op,
const Vector &x,
Vector &y)
{
occa::properties props;
props["defines/D1D"] = D1D;
props["defines/Q1D"] = Q1D;
const occa::memory o_B = OccaMemoryRead(B.GetMemory(), B.Size());
const occa::memory o_Bt = OccaMemoryRead(Bt.GetMemory(), Bt.Size());
const occa::memory o_op = OccaMemoryRead(op.GetMemory(), op.Size());
const occa::memory o_x = OccaMemoryRead(x.GetMemory(), x.Size());
occa::memory o_y = OccaMemoryReadWrite(y.GetMemory(), y.Size());
const occa_id_t id = std::make_pair(D1D,Q1D);
if (!Device::Allows(Backend::OCCA_CUDA))
{
static occa_kernel_t OccaMassApply3D_cpu;
if (OccaMassApply3D_cpu.find(id) == OccaMassApply3D_cpu.end())
{
const occa::kernel MassApply3D_CPU =
mfem::OccaDev().buildKernel("occa://mfem/fem/occa.okl",
"MassApply3D_CPU", props);
OccaMassApply3D_cpu.emplace(id, MassApply3D_CPU);
}
OccaMassApply3D_cpu.at(id)(NE, o_B, o_Bt, o_op, o_x, o_y);
}
else
{
static occa_kernel_t OccaMassApply3D_gpu;
if (OccaMassApply3D_gpu.find(id) == OccaMassApply3D_gpu.end())
{
const occa::kernel MassApply3D_GPU =
mfem::OccaDev().buildKernel("occa://mfem/fem/occa.okl",
"MassApply3D_GPU", props);
OccaMassApply3D_gpu.emplace(id, MassApply3D_GPU);
}
OccaMassApply3D_gpu.at(id)(NE, o_B, o_Bt, o_op, o_x, o_y);
}
}
#endif // MFEM_USE_OCCA
template<const int T_D1D = 0,
const int T_Q1D = 0>
static void PAMassApply2D(const int NE,
const Array<double> &B_,
const Array<double> &Bt_,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int d1d = 0,
const int q1d = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= MAX_D1D, "");
MFEM_VERIFY(Q1D <= MAX_Q1D, "");
auto B = Reshape(B_.Read(), Q1D, D1D);
auto Bt = Reshape(Bt_.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, NE);
auto x = Reshape(x_.Read(), D1D, D1D, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, NE);
MFEM_FORALL(e, NE,
{
const int D1D = T_D1D ? T_D1D : d1d; // nvcc workaround
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int max_D1D = T_D1D ? T_D1D : MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : MAX_Q1D;
double sol_xy[max_Q1D][max_Q1D];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xy[qy][qx] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
double sol_x[max_Q1D];
for (int qy = 0; qy < Q1D; ++qy)
{
sol_x[qy] = 0.0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const double s = x(dx,dy,e);
for (int qx = 0; qx < Q1D; ++qx)
{
sol_x[qx] += B(qx,dx)* s;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const double d2q = B(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xy[qy][qx] += d2q * sol_x[qx];
}
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xy[qy][qx] *= op(qx,qy,e);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
double sol_x[max_D1D];
for (int dx = 0; dx < D1D; ++dx)
{
sol_x[dx] = 0.0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const double s = sol_xy[qy][qx];
for (int dx = 0; dx < D1D; ++dx)
{
sol_x[dx] += Bt(dx,qx) * s;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const double q2d = Bt(dy,qy);
for (int dx = 0; dx < D1D; ++dx)
{
y(dx,dy,e) += q2d * sol_x[dx];
}
}
}
});
}
template<const int T_D1D = 0,
const int T_Q1D = 0,
const int T_NBZ = 0>
static void SmemPAMassApply2D(const int NE,
const Array<double> &b_,
const Array<double> &bt_,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int d1d = 0,
const int q1d = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int NBZ = T_NBZ ? T_NBZ : 1;
constexpr int MQ1 = T_Q1D ? T_Q1D : MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : MAX_D1D;
MFEM_VERIFY(D1D <= MD1, "");
MFEM_VERIFY(Q1D <= MQ1, "");
auto b = Reshape(b_.Read(), Q1D, D1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, NE);
auto x = Reshape(x_.Read(), D1D, D1D, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, NE);
MFEM_FORALL_2D(e, NE, Q1D, Q1D, NBZ,
{
const int tidz = MFEM_THREAD_ID(z);
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int NBZ = T_NBZ ? T_NBZ : 1;
constexpr int MQ1 = T_Q1D ? T_Q1D : MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : MAX_D1D;
constexpr int MDQ = (MQ1 > MD1) ? MQ1 : MD1;
MFEM_SHARED double BBt[MQ1*MD1];
double (*B)[MD1] = (double (*)[MD1]) BBt;
double (*Bt)[MQ1] = (double (*)[MQ1]) BBt;
MFEM_SHARED double sm0[NBZ][MDQ*MDQ];
MFEM_SHARED double sm1[NBZ][MDQ*MDQ];
double (*X)[MD1] = (double (*)[MD1]) (sm0 + tidz);
double (*DQ)[MQ1] = (double (*)[MQ1]) (sm1 + tidz);
double (*QQ)[MQ1] = (double (*)[MQ1]) (sm0 + tidz);
double (*QD)[MD1] = (double (*)[MD1]) (sm1 + tidz);
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
X[dy][dx] = x(dx,dy,e);
}
}
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1D)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
B[q][d] = b(q,d);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
double dq = 0.0;
for (int dx = 0; dx < D1D; ++dx)
{
dq += X[dy][dx] * B[qx][dx];
}
DQ[dy][qx] = dq;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
double qq = 0.0;
for (int dy = 0; dy < D1D; ++dy)
{
qq += DQ[dy][qx] * B[qy][dy];
}
QQ[qy][qx] = qq * op(qx, qy, e);
}
}
MFEM_SYNC_THREAD;
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1D)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
Bt[d][q] = b(q,d);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
double dq = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
dq += QQ[qy][qx] * Bt[dx][qx];
}
QD[qy][dx] = dq;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
double dd = 0.0;
for (int qy = 0; qy < Q1D; ++qy)
{
dd += (QD[qy][dx] * Bt[dy][qy]);
}
y(dx, dy, e) += dd;
}
}
});
}
template<const int T_D1D = 0,
const int T_Q1D = 0>
static void PAMassApply3D(const int NE,
const Array<double> &B_,
const Array<double> &Bt_,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int d1d = 0,
const int q1d = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= MAX_D1D, "");
MFEM_VERIFY(Q1D <= MAX_Q1D, "");
auto B = Reshape(B_.Read(), Q1D, D1D);
auto Bt = Reshape(Bt_.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, Q1D, NE);
auto x = Reshape(x_.Read(), D1D, D1D, D1D, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, NE);
MFEM_FORALL(e, NE,
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int max_D1D = T_D1D ? T_D1D : MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : MAX_Q1D;
double sol_xyz[max_Q1D][max_Q1D][max_Q1D];
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xyz[qz][qy][qx] = 0.0;
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
double sol_xy[max_Q1D][max_Q1D];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xy[qy][qx] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
double sol_x[max_Q1D];
for (int qx = 0; qx < Q1D; ++qx)
{
sol_x[qx] = 0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const double s = x(dx,dy,dz,e);
for (int qx = 0; qx < Q1D; ++qx)
{
sol_x[qx] += B(qx,dx) * s;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const double wy = B(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xy[qy][qx] += wy * sol_x[qx];
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
const double wz = B(qz,dz);
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xyz[qz][qy][qx] += wz * sol_xy[qy][qx];
}
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
sol_xyz[qz][qy][qx] *= op(qx,qy,qz,e);
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
double sol_xy[max_D1D][max_D1D];
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
sol_xy[dy][dx] = 0;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
double sol_x[max_D1D];
for (int dx = 0; dx < D1D; ++dx)
{
sol_x[dx] = 0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const double s = sol_xyz[qz][qy][qx];
for (int dx = 0; dx < D1D; ++dx)
{
sol_x[dx] += Bt(dx,qx) * s;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const double wy = Bt(dy,qy);
for (int dx = 0; dx < D1D; ++dx)
{
sol_xy[dy][dx] += wy * sol_x[dx];
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
const double wz = Bt(dz,qz);
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
y(dx,dy,dz,e) += wz * sol_xy[dy][dx];
}
}
}
}
});
}
template<const int T_D1D = 0,
const int T_Q1D = 0>
static void SmemPAMassApply3D(const int NE,
const Array<double> &b_,
const Array<double> &bt_,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int d1d = 0,
const int q1d = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int M1Q = T_Q1D ? T_Q1D : MAX_Q1D;
constexpr int M1D = T_D1D ? T_D1D : MAX_D1D;
MFEM_VERIFY(D1D <= M1D, "");
MFEM_VERIFY(Q1D <= M1Q, "");
auto b = Reshape(b_.Read(), Q1D, D1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, Q1D, NE);
auto x = Reshape(x_.Read(), D1D, D1D, D1D, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, NE);
MFEM_FORALL_3D(e, NE, Q1D, Q1D, Q1D,
{
const int tidz = MFEM_THREAD_ID(z);
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int MQ1 = T_Q1D ? T_Q1D : MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : MAX_D1D;
constexpr int MDQ = (MQ1 > MD1) ? MQ1 : MD1;
MFEM_SHARED double sDQ[MQ1*MD1];
double (*B)[MD1] = (double (*)[MD1]) sDQ;
double (*Bt)[MQ1] = (double (*)[MQ1]) sDQ;
MFEM_SHARED double sm0[MDQ*MDQ*MDQ];
MFEM_SHARED double sm1[MDQ*MDQ*MDQ];
double (*X)[MD1][MD1] = (double (*)[MD1][MD1]) sm0;
double (*DDQ)[MD1][MQ1] = (double (*)[MD1][MQ1]) sm1;
double (*DQQ)[MQ1][MQ1] = (double (*)[MQ1][MQ1]) sm0;
double (*QQQ)[MQ1][MQ1] = (double (*)[MQ1][MQ1]) sm1;
double (*QQD)[MQ1][MD1] = (double (*)[MQ1][MD1]) sm0;
double (*QDD)[MD1][MD1] = (double (*)[MD1][MD1]) sm1;
MFEM_FOREACH_THREAD(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
X[dz][dy][dx] = x(dx,dy,dz,e);
}
}
}
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1D)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
B[q][d] = b(q,d);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
double u = 0.0;
for (int dx = 0; dx < D1D; ++dx)
{
u += X[dz][dy][dx] * B[qx][dx];
}
DDQ[dz][dy][qx] = u;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
double u = 0.0;
for (int dy = 0; dy < D1D; ++dy)
{
u += DDQ[dz][dy][qx] * B[qy][dy];
}
DQQ[dz][qy][qx] = u;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
double u = 0.0;
for (int dz = 0; dz < D1D; ++dz)
{
u += DQQ[dz][qy][qx] * B[qz][dz];
}
QQQ[qz][qy][qx] = u * op(qx,qy,qz,e);
}
}
}
MFEM_SYNC_THREAD;
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1D)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
Bt[d][q] = b(q,d);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
double u = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
u += QQQ[qz][qy][qx] * Bt[dx][qx];
}
QQD[qz][qy][dx] = u;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
double u = 0.0;
for (int qy = 0; qy < Q1D; ++qy)
{
u += QQD[qz][qy][dx] * Bt[dy][qy];
}
QDD[qz][dy][dx] = u;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
double u = 0.0;
for (int qz = 0; qz < Q1D; ++qz)
{
u += QDD[qz][dy][dx] * Bt[dz][qz];
}
y(dx,dy,dz,e) += u;
}
}
}
});
}
static void PAMassApply(const int dim,
const int D1D,
const int Q1D,
const int NE,
const Array<double> &B,
const Array<double> &Bt,
const Vector &op,
const Vector &x,
Vector &y)
{
#ifdef MFEM_USE_OCCA
if (DeviceCanUseOcca())
{
if (dim == 2)
{
OccaPAMassApply2D(D1D, Q1D, NE, B, Bt, op, x, y);
return;
}
if (dim == 3)
{
OccaPAMassApply3D(D1D, Q1D, NE, B, Bt, op, x, y);
return;
}
MFEM_ABORT("OCCA PA Mass Apply unknown kernel!");
}
#endif // MFEM_USE_OCCA
if (dim == 2)
{
switch ((D1D << 4) | Q1D)
{
case 0x22: return SmemPAMassApply2D<2,2,16>(NE, B, Bt, op, x, y);
case 0x33: return SmemPAMassApply2D<3,3,16>(NE, B, Bt, op, x, y);
case 0x44: return SmemPAMassApply2D<4,4,8>(NE, B, Bt, op, x, y);
case 0x55: return SmemPAMassApply2D<5,5,8>(NE, B, Bt, op, x, y);
case 0x66: return SmemPAMassApply2D<6,6,4>(NE, B, Bt, op, x, y);
case 0x77: return SmemPAMassApply2D<7,7,4>(NE, B, Bt, op, x, y);
case 0x88: return SmemPAMassApply2D<8,8,2>(NE, B, Bt, op, x, y);
case 0x99: return SmemPAMassApply2D<9,9,2>(NE, B, Bt, op, x, y);
default: return PAMassApply2D(NE, B, Bt, op, x, y, D1D, Q1D);
}
}
else if (dim == 3)
{
switch ((D1D << 4) | Q1D)
{
case 0x23: return SmemPAMassApply3D<2,3>(NE, B, Bt, op, x, y);
case 0x34: return SmemPAMassApply3D<3,4>(NE, B, Bt, op, x, y);
case 0x45: return SmemPAMassApply3D<4,5>(NE, B, Bt, op, x, y);
case 0x56: return SmemPAMassApply3D<5,6>(NE, B, Bt, op, x, y);
case 0x67: return SmemPAMassApply3D<6,7>(NE, B, Bt, op, x, y);
case 0x78: return SmemPAMassApply3D<7,8>(NE, B, Bt, op, x, y);
case 0x89: return SmemPAMassApply3D<8,9>(NE, B, Bt, op, x, y);
default: return PAMassApply3D(NE, B, Bt, op, x, y, D1D, Q1D);
}
}
MFEM_ABORT("Unknown kernel.");
}
void MassIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
PAMassApply(dim, dofs1D, quad1D, ne, maps->B, maps->Bt, pa_data, x, y);
}
} // namespace mfem
+12 -20
View File
@@ -28,6 +28,11 @@ double PWConstCoefficient::Eval(ElementTransformation & T,
return (constants(att-1));
}
DeviceFunctionCoefficientPtr FunctionCoefficient::GetDeviceFunction()
{
return DeviceFunction;
}
double FunctionCoefficient::Eval(ElementTransformation & T,
const IntegrationPoint & ip)
{
@@ -40,6 +45,10 @@ double FunctionCoefficient::Eval(ElementTransformation & T,
{
return ((*Function)(transip));
}
else if (DeviceFunction)
{
return ((*DeviceFunction)(Vector3(x)));
}
else
{
return (*TDFunction)(transip, GetTime());
@@ -125,27 +134,19 @@ void VectorFunctionCoefficient::Eval(Vector &V, ElementTransformation &T,
}
VectorArrayCoefficient::VectorArrayCoefficient (int dim)
: VectorCoefficient(dim), Coeff(dim), ownCoeff(dim)
: VectorCoefficient(dim), Coeff(dim)
{
for (int i = 0; i < dim; i++)
{
Coeff[i] = NULL;
ownCoeff[i] = true;
}
}
void VectorArrayCoefficient::Set(int i, Coefficient *c, bool own)
{
if (ownCoeff[i]) { delete Coeff[i]; }
Coeff[i] = c;
ownCoeff[i] = own;
}
VectorArrayCoefficient::~VectorArrayCoefficient()
{
for (int i = 0; i < vdim; i++)
{
if (ownCoeff[i]) { delete Coeff[i]; }
delete Coeff[i];
}
}
@@ -317,26 +318,17 @@ MatrixArrayCoefficient::MatrixArrayCoefficient (int dim)
: MatrixCoefficient (dim)
{
Coeff.SetSize(height*width);
ownCoeff.SetSize(height*width);
for (int i = 0; i < (height*width); i++)
{
Coeff[i] = NULL;
ownCoeff[i] = true;
}
}
void MatrixArrayCoefficient::Set(int i, int j, Coefficient * c, bool own)
{
if (ownCoeff[i*width+j]) { delete Coeff[i*width+j]; }
Coeff[i*width+j] = c;
ownCoeff[i*width+j] = own;
}
MatrixArrayCoefficient::~MatrixArrayCoefficient ()
{
for (int i=0; i < height*width; i++)
{
if (ownCoeff[i]) { delete Coeff[i]; }
delete Coeff[i];
}
}
+22 -8
View File
@@ -112,6 +112,7 @@ public:
const IntegrationPoint &ip);
};
typedef double (*DeviceFunctionCoefficientPtr)(const Vector3&);
/// class for C-function coefficient
class FunctionCoefficient : public Coefficient
@@ -119,6 +120,7 @@ class FunctionCoefficient : public Coefficient
protected:
double (*Function)(const Vector &);
double (*TDFunction)(const Vector &, double);
double (*DeviceFunction)(const Vector3&);
public:
/// Define a time-independent coefficient from a C-function
@@ -126,6 +128,7 @@ public:
{
Function = f;
TDFunction = NULL;
DeviceFunction = NULL;
}
/// Define a time-dependent coefficient from a C-function
@@ -133,6 +136,16 @@ public:
{
Function = NULL;
TDFunction = tdf;
DeviceFunction = NULL;
}
/// Define a time-independent coefficient from a C-function using
/// Vector3 instead of a Vector.
FunctionCoefficient(double (*df)(const Vector3 &))
{
Function = NULL;
TDFunction = NULL;
DeviceFunction = df;
}
/// (DEPRECATED) Define a time-independent coefficient from a C-function
@@ -142,6 +155,7 @@ public:
{
Function = reinterpret_cast<double(*)(const Vector&)>(f);
TDFunction = NULL;
DeviceFunction = NULL;
}
/// (DEPRECATED) Define a time-dependent coefficient from a C-function
@@ -151,11 +165,17 @@ public:
{
Function = NULL;
TDFunction = reinterpret_cast<double(*)(const Vector&,double)>(tdf);
DeviceFunction = NULL;
}
/// Evaluate coefficient
virtual double Eval(ElementTransformation &T,
const IntegrationPoint &ip);
/// Return the coefficient's C-function that uses Vector3.
/// Warning: for now, the returned function can only be used on the
/// host inside a MFEM_FORALL.
DeviceFunctionCoefficientPtr GetDeviceFunction();
};
class GridFunction;
@@ -369,7 +389,6 @@ class VectorArrayCoefficient : public VectorCoefficient
{
private:
Array<Coefficient*> Coeff;
Array<bool> ownCoeff;
public:
/// Construct vector of dim coefficients.
@@ -381,7 +400,7 @@ public:
Coefficient **GetCoeffs() { return Coeff; }
/// Sets coefficient in the vector.
void Set(int i, Coefficient *c, bool own=true);
void Set(int i, Coefficient *c) { delete Coeff[i]; Coeff[i] = c; }
/// Evaluates i'th component of the vector.
double Eval(int i, ElementTransformation &T, const IntegrationPoint &ip)
@@ -501,13 +520,9 @@ public:
void SetDeltaCoefficient(const DeltaCoefficient& _d) { d = _d; }
/// Return the associated scalar DeltaCoefficient.
DeltaCoefficient& GetDeltaCoefficient() { return d; }
void SetScale(double s) { d.SetScale(s); }
void SetDirection(const Vector& _d);
void SetDeltaCenter(const Vector& center) { d.SetDeltaCenter(center); }
void GetDeltaCenter(Vector& center) { d.GetDeltaCenter(center); }
/** @brief Return the specified direction vector multiplied by the value
returned by DeltaCoefficient::EvalDelta() of the associated scalar
DeltaCoefficient. */
@@ -633,7 +648,6 @@ class MatrixArrayCoefficient : public MatrixCoefficient
{
private:
Array<Coefficient *> Coeff;
Array<bool> ownCoeff;
public:
@@ -641,7 +655,7 @@ public:
Coefficient* GetCoeff (int i, int j) { return Coeff[i*width+j]; }
void Set(int i, int j, Coefficient * c, bool own=true);
void Set(int i, int j, Coefficient * c) { delete Coeff[i*width+j]; Coeff[i*width+j] = c; }
double Eval(int i, int j, ElementTransformation &T, const IntegrationPoint &ip)
{ return Coeff[i*width+j] ? Coeff[i*width+j] -> Eval(T, ip, GetTime()) : 0.0; }
+4 -17
View File
@@ -108,7 +108,6 @@ DataCollection::DataCollection(const std::string& collection_name, Mesh *mesh_)
precision = precision_default;
pad_digits_cycle = pad_digits_rank = pad_digits_default;
format = SERIAL_FORMAT; // use serial mesh format
compression = false;
error = NO_ERROR;
}
@@ -162,14 +161,6 @@ void DataCollection::SetFormat(int fmt)
format = fmt;
}
void DataCollection::SetCompression(bool comp)
{
compression = comp;
#ifdef MFEM_USE_GZSTREAM
MFEM_ASSERT(!compression, "GZStream not enabled in MFEM build.");
#endif
}
void DataCollection::SetPrefixPath(const std::string& prefix)
{
if (!prefix.empty())
@@ -228,8 +219,7 @@ void DataCollection::SaveMesh()
}
std::string mesh_name = GetMeshFileName();
const char *mode = (compression) ? "zwb6" : "w";
ofgzstream mesh_file(mesh_name.c_str(), mode);
std::ofstream mesh_file(mesh_name.c_str());
mesh_file.precision(precision);
#ifdef MFEM_USE_MPI
const ParMesh *pmesh = dynamic_cast<const ParMesh*>(mesh);
@@ -277,9 +267,7 @@ const
void DataCollection::SaveOneField(const FieldMapIterator &it)
{
const char *mode = (compression) ? "zwb6" : "w";
ofgzstream field_file(GetFieldFileName(it->first).c_str(), mode);
std::ofstream field_file(GetFieldFileName(it->first).c_str());
field_file.precision(precision);
(it->second)->Save(field_file);
if (!field_file)
@@ -291,8 +279,7 @@ void DataCollection::SaveOneField(const FieldMapIterator &it)
void DataCollection::SaveOneQField(const QFieldMapIterator &it)
{
const char *mode = (compression) ? "zwb6" : "w";
ofgzstream q_field_file(GetFieldFileName(it->first).c_str(), mode);
std::ofstream q_field_file(GetFieldFileName(it->first).c_str());
q_field_file.precision(precision);
(it->second)->Save(q_field_file);
if (!q_field_file)
@@ -589,7 +576,7 @@ void VisItDataCollection::LoadFields()
it != field_info_map.end(); ++it)
{
std::string fname = path_left + it->first + path_right;
ifgzstream file(fname.c_str());
std::ifstream file(fname.c_str());
// TODO: in parallel, check for errors on all processors
if (!file)
{
-4
View File
@@ -205,7 +205,6 @@ protected:
/// Output mesh format: see the #Format enumeration
int format;
bool compression;
/// Should the collection delete its mesh and fields
bool own_data;
@@ -347,9 +346,6 @@ public:
validation. */
virtual void SetFormat(int fmt);
/// Set the flag for use of gz compressed files
void SetCompression(bool comp);
/// Set the path where the DataCollection will be saved.
void SetPrefixPath(const std::string &prefix);
-109
View File
@@ -203,22 +203,6 @@ void FiniteElement::CalcPhysDShape(ElementTransformation &Trans,
Mult(vshape, Trans.InverseJacobian(), dshape);
}
const DofToQuad &FiniteElement::GetDofToQuad(const IntegrationRule &,
DofToQuad::Mode) const
{
mfem_error("FiniteElement::GetDofToQuad(...) is not implemented for "
"this element!");
return *dof2quad_array[0]; // suppress a warning
}
FiniteElement::~FiniteElement()
{
for (int i = 0; i < dof2quad_array.Size(); i++)
{
delete dof2quad_array[i];
}
}
void ScalarFiniteElement::NodalLocalInterpolation (
ElementTransformation &Trans, DenseMatrix &I,
@@ -294,95 +278,6 @@ void ScalarFiniteElement::ScalarLocalInterpolation(
}
}
const DofToQuad &ScalarFiniteElement::GetDofToQuad(const IntegrationRule &ir,
DofToQuad::Mode mode) const
{
MFEM_VERIFY(mode == DofToQuad::FULL, "invalid mode requested");
for (int i = 0; i < dof2quad_array.Size(); i++)
{
const DofToQuad &d2q = *dof2quad_array[i];
if (d2q.IntRule == &ir && d2q.mode == mode) { return d2q; }
}
DofToQuad *d2q = new DofToQuad;
const int nqpt = ir.GetNPoints();
d2q->FE = this;
d2q->IntRule = &ir;
d2q->mode = mode;
d2q->ndof = Dof;
d2q->nqpt = nqpt;
d2q->B.SetSize(nqpt*Dof);
d2q->Bt.SetSize(Dof*nqpt);
d2q->G.SetSize(nqpt*Dim*Dof);
d2q->Gt.SetSize(Dof*nqpt*Dim);
#ifdef MFEM_THREAD_SAFE
Vector c_shape(Dof);
DenseMatrix vshape(Dof, Dim);
#endif
for (int i = 0; i < nqpt; i++)
{
const IntegrationPoint &ip = ir.IntPoint(i);
CalcShape(ip, c_shape);
for (int j = 0; j < Dof; j++)
{
d2q->B[i+nqpt*j] = d2q->Bt[j+Dof*i] = c_shape(j);
}
CalcDShape(ip, vshape);
for (int d = 0; d < Dim; d++)
{
for (int j = 0; j < Dof; j++)
{
d2q->G[i+nqpt*(d+Dim*j)] = d2q->Gt[j+Dof*(i+nqpt*d)] = vshape(j,d);
}
}
}
dof2quad_array.Append(d2q);
return *d2q;
}
// protected method
const DofToQuad &ScalarFiniteElement::GetTensorDofToQuad(
const TensorBasisElement &tb,
const IntegrationRule &ir, DofToQuad::Mode mode) const
{
MFEM_VERIFY(mode == DofToQuad::TENSOR, "invalid mode requested");
for (int i = 0; i < dof2quad_array.Size(); i++)
{
const DofToQuad &d2q = *dof2quad_array[i];
if (d2q.IntRule == &ir && d2q.mode == mode) { return d2q; }
}
DofToQuad *d2q = new DofToQuad;
const Poly_1D::Basis &basis_1d = tb.GetBasis1D();
const int ndof = Order + 1;
const int nqpt = (int)floor(pow(ir.GetNPoints(), 1.0/Dim) + 0.5);
d2q->FE = this;
d2q->IntRule = &ir;
d2q->mode = mode;
d2q->ndof = ndof;
d2q->nqpt = nqpt;
d2q->B.SetSize(nqpt*ndof);
d2q->Bt.SetSize(ndof*nqpt);
d2q->G.SetSize(nqpt*ndof);
d2q->Gt.SetSize(ndof*nqpt);
Vector val(ndof), grad(ndof);
for (int i = 0; i < nqpt; i++)
{
// The first 'nqpt' points in 'ir' have the same x-coordinates as those
// of the 1D rule.
basis_1d.Eval(ir.IntPoint(i).x, val, grad);
for (int j = 0; j < ndof; j++)
{
d2q->B[i+nqpt*j] = d2q->Bt[j+ndof*i] = val(j);
d2q->G[i+nqpt*j] = d2q->Gt[j+ndof*i] = grad(j);
}
}
dof2quad_array.Append(d2q);
return *d2q;
}
void NodalFiniteElement::ProjectCurl_2D(
const FiniteElement &fe, ElementTransformation &Trans,
@@ -11965,10 +11860,6 @@ Linear3DFiniteElement TetrahedronFE;
// Object declared in mesh/wedge.hpp.
// Defined here to ensure it is constructed after 'poly1d' and before
// 'Geometries'.
// TODO: define as thread_local to prevent race conditions in GLVis, because
// there is no "LinearWedgeFiniteElement" and WedgeFE is in turn used from two
// different threads for different things in GLVis. We also don't want to turn
// MFEM_THREAD_SAFE on globally. (See PR #731)
H1_WedgeElement WedgeFE(1);
// Object declared in geom.hpp.
+2 -124
View File
@@ -116,92 +116,7 @@ public:
}
};
/** @brief Structure representing the matrices/tensors needed to evaluate (in
reference space) the values, gradients, divergences, or curls of a
FiniteElement at a the quadrature points of a given IntegrationRule. */
/** Object of this type are typically created and owned by the respective
FiniteElement object. */
class DofToQuad
{
public:
/// The FiniteElement that created and owns this object.
/** This pointer is not owned. */
const class FiniteElement *FE;
/** @brief IntegrationRule that defines the quadrature points at which the
basis functions of the #FE are evaluated. */
/** This pointer is not owned. */
const IntegrationRule *IntRule;
/// Type of data stored in the arrays #B, #Bt, #G, and #Gt.
enum Mode
{
/** @brief Full multidimensional representation which does not use tensor
product structure. The ordering of the degrees of freedom is as
defined by #FE */
FULL,
/** @brief Tensor product representation using 1D matrices/tensors with
dimensions using 1D number of quadrature points and degrees of
freedom. */
/** When representing a vector-valued FiniteElement, two DofToQuad objects
are used to describe the "closed" and "open" 1D basis functions
(TODO). */
TENSOR
};
/// Describes the contents of the #B, #Bt, #G, and #Gt arrays, see #Mode.
Mode mode;
/** @brief Number of degrees of freedom = number of basis functions. When
#mode is TENSOR, this is the 1D number. */
int ndof;
/** @brief Number of quadrature points. When #mode is TENSOR, this is the 1D
number. */
int nqpt;
/// Basis functions evaluated at quadrature points.
/** The storage layout is column-major with dimensions:
- #nqpt x #ndof, for scalar elements, or
- #nqpt x dim x #ndof, for vector elements, (TODO)
where
- dim = dimension of the finite element reference space when #mode is
FULL, and dim = 1 when #mode is TENSOR. */
Array<double> B;
/// Transpose of #B.
/** The storage layout is column-major with dimensions:
- #ndof x #nqpt, for scalar elements, or
- #ndof x #nqpt x dim, for vector elements (TODO). */
Array<double> Bt;
/** @brief Gradients/divergences/curls of basis functions evaluated at
quadrature points. */
/** The storage layout is column-major with dimensions:
- #nqpt x dim x #ndof, for scalar elements, or
- #nqpt x #ndof, for H(div) vector elements (TODO), or
- #nqpt x cdim x #ndof, for H(curl) vector elements (TODO),
where
- dim = dimension of the finite element reference space when #mode is
FULL, and 1 when #mode is TENSOR,
- cdim = 1/1/3 in 1D/2D/3D, respectively, when #mode is FULL, and cdim =
1 when #mode is TENSOR. */
Array<double> G;
/// Transpose of #G.
/** The storage layout is column-major with dimensions:
- #ndof x #nqpt x dim, for scalar elements, or
- #ndof x #nqpt, for H(div) vector elements (TODO), or
- #ndof x #nqpt x cdim, for H(curl) vector elements (TODO). */
Array<double> Gt;
};
// Base and derived classes for finite elements
/// Describes the space on each element
class FunctionSpace
@@ -221,10 +136,6 @@ class VectorCoefficient;
class MatrixCoefficient;
class KnotVector;
// Base and derived classes for finite elements
/// Abstract class for Finite Elements
class FiniteElement
{
@@ -241,10 +152,6 @@ protected:
#ifndef MFEM_THREAD_SAFE
mutable DenseMatrix vshape; // Dof x Dim
#endif
/// Container for all DofToQuad objects created by the FiniteElement.
/** Multiple DofToQuad objects may be needed when different quadrature rules
or different DofToQuad::Mode are used. */
mutable Array<DofToQuad*> dof2quad_array;
public:
/// Enumeration for RangeType and DerivRangeType
@@ -510,13 +417,7 @@ public:
ElementTransformation &Trans,
DenseMatrix &div) const;
/** Return a DofToQuad structure corresponding to the given IntegrationRule
using the given DofToQuad::Mode. */
/** See the documentation for DofToQuad for more details. */
virtual const DofToQuad &GetDofToQuad(const IntegrationRule &ir,
DofToQuad::Mode mode) const;
virtual ~FiniteElement();
virtual ~FiniteElement () { }
static bool IsClosedType(int b_type)
{
@@ -563,10 +464,6 @@ protected:
return static_cast<const ScalarFiniteElement &>(fe);
}
const DofToQuad &GetTensorDofToQuad(const class TensorBasisElement &tb,
const IntegrationRule &ir,
DofToQuad::Mode mode) const;
public:
ScalarFiniteElement(int D, Geometry::Type G, int Do, int O,
int F = FunctionSpace::Pk)
@@ -597,9 +494,6 @@ public:
void ScalarLocalInterpolation(ElementTransformation &Trans,
DenseMatrix &I,
const ScalarFiniteElement &fine_fe) const;
virtual const DofToQuad &GetDofToQuad(const IntegrationRule &ir,
DofToQuad::Mode mode) const;
};
class NodalFiniteElement : public ScalarFiniteElement
@@ -1856,14 +1750,6 @@ class NodalTensorFiniteElement : public NodalFiniteElement,
public:
NodalTensorFiniteElement(const int dims, const int p, const int btype,
const DofMapType dmtype);
const DofToQuad &GetDofToQuad(const IntegrationRule &ir,
DofToQuad::Mode mode) const
{
return (mode == DofToQuad::FULL) ?
ScalarFiniteElement::GetDofToQuad(ir, mode) :
ScalarFiniteElement::GetTensorDofToQuad(*this, ir, mode);
}
};
class PositiveTensorFiniteElement : public PositiveFiniteElement,
@@ -1872,14 +1758,6 @@ class PositiveTensorFiniteElement : public PositiveFiniteElement,
public:
PositiveTensorFiniteElement(const int dims, const int p,
const DofMapType dmtype);
const DofToQuad &GetDofToQuad(const IntegrationRule &ir,
DofToQuad::Mode mode) const
{
return (mode == DofToQuad::FULL) ?
ScalarFiniteElement::GetDofToQuad(ir, mode) :
ScalarFiniteElement::GetTensorDofToQuad(*this, ir, mode);
}
};
class H1_SegmentElement : public NodalTensorFiniteElement
+43 -700
View File
@@ -12,7 +12,6 @@
// Implementation of FiniteElementSpace
#include "../general/text.hpp"
#include "../general/forall.hpp"
#include "../mesh/mesh_headers.hpp"
#include "fem.hpp"
@@ -386,7 +385,6 @@ void FiniteElementSpace::MarkerToList(const Array<int> &marker,
Array<int> &list)
{
int num_marked = 0;
marker.HostRead(); // make sure we can read the array on host
for (int i = 0; i < marker.Size(); i++)
{
if (marker[i]) { num_marked++; }
@@ -567,40 +565,6 @@ bool FiniteElementSpace::DofFinalizable(int dof, const Array<bool>& finalized,
return true;
}
void FiniteElementSpace::GetDegenerateFaceDofs(int index,
Array<int> &dofs) const
{
// In NC meshes with prisms, a special constraint occurs where a prism edge
// is slave to a quadrilateral face. Rather than introduce a new edge-face
// constraint type, we handle such cases as degenerate face-face constraints,
// where the point-matrix rectangle has zero height. This method returns
// DOFs for the first edge of the rectangle, duplicated in the orthogonal
// direction, to resemble DOFs for a quadrilateral face. The extra DOFs are
// ignored by FiniteElementSpace::AddDependencies.
Array<int> edof;
GetEdgeDofs(-1 - index, edof);
int nv = fec->DofForGeometry(Geometry::POINT);
int ne = fec->DofForGeometry(Geometry::SEGMENT);
int nn = 2*nv + ne;
dofs.SetSize(nn*nn);
dofs = edof[0];
// copy first two vertex DOFs
for (int i = 0; i < nv; i++)
{
dofs[i] = edof[i];
dofs[nv+i] = edof[nv+i];
}
// copy first edge DOFs
for (int i = 0; i < ne; i++)
{
dofs[4*nv + i] = edof[2*nv + i];
}
}
void
FiniteElementSpace::GetEntityDofs(int entity, int index, Array<int> &dofs) const
{
@@ -608,8 +572,7 @@ FiniteElementSpace::GetEntityDofs(int entity, int index, Array<int> &dofs) const
{
case 0: GetVertexDofs(index, dofs); break;
case 1: GetEdgeDofs(index, dofs); break;
case 2: (index >= 0) ? GetFaceDofs(index, dofs)
/* */ : GetDegenerateFaceDofs(index, dofs);
case 2: GetFaceDofs(index, dofs); break;
}
}
@@ -632,33 +595,28 @@ void FiniteElementSpace::BuildConformingInterpolation() const
// collect local edge/face dependencies
for (int entity = 1; entity <= 2; entity++)
{
const NCMesh::NCList &list = mesh->ncmesh->GetNCList(entity);
const NCMesh::NCList &list = (entity > 1) ? mesh->ncmesh->GetFaceList()
/* */ : mesh->ncmesh->GetEdgeList();
if (!list.masters.size()) { continue; }
Array<int> master_dofs, slave_dofs;
IsoparametricTransformation T;
DenseMatrix I;
if (entity > 1) { T.SetFE(&QuadrilateralFE); }
else { T.SetFE(&SegmentFE); }
Geometry::Type geom = (entity > 1) ? Geometry::SQUARE : Geometry::SEGMENT;
const FiniteElement* fe = fec->FiniteElementForGeometry(geom);
if (!fe) { continue; }
Array<int> master_dofs, slave_dofs;
DenseMatrix I(fe->GetDof());
// loop through all master edges/faces, constrain their slave edges/faces
for (unsigned mi = 0; mi < list.masters.size(); mi++)
{
const NCMesh::Master &master = list.masters[mi];
GetEntityDofs(entity, master.index, master_dofs);
if (!master_dofs.Size()) { continue; }
const FiniteElement* fe = fec->FiniteElementForGeometry(master.Geom());
if (!fe) { continue; }
switch (master.geom)
{
case Geometry::SQUARE: T.SetFE(&QuadrilateralFE); break;
case Geometry::TRIANGLE: T.SetFE(&TriangleFE); break;
case Geometry::SEGMENT: T.SetFE(&SegmentFE); break;
default: MFEM_ABORT("unsupported geometry");
}
for (int si = master.slaves_begin; si < master.slaves_end; si++)
{
const NCMesh::Slave &slave = list.slaves[si];
@@ -694,9 +652,9 @@ void FiniteElementSpace::BuildConformingInterpolation() const
// create the conforming restriction matrix cR
int *cR_J;
{
int *cR_I = new int[n_true_dofs+1];
double *cR_A = new double[n_true_dofs];
cR_J = new int[n_true_dofs];
int *cR_I = mfem::New<int>(n_true_dofs+1);
double *cR_A = mfem::New<double>(n_true_dofs);
cR_J = mfem::New<int>(n_true_dofs);
for (int i = 0; i < n_true_dofs; i++)
{
cR_I[i] = i;
@@ -774,8 +732,6 @@ void FiniteElementSpace::BuildConformingInterpolation() const
MakeVDimMatrix(*cP);
MakeVDimMatrix(*cR);
}
if (Device::IsEnabled()) { cP->BuildTranspose(); }
}
void FiniteElementSpace::MakeVDimMatrix(SparseMatrix &mat) const
@@ -826,63 +782,6 @@ int FiniteElementSpace::GetNConformingDofs() const
return P ? (P->Width() / vdim) : ndofs;
}
const Operator *FiniteElementSpace::GetElementRestriction(
ElementDofOrdering e_ordering) const
{
// Check if we have a discontinuous space using the FE collection:
const L2_FECollection *dg_space = dynamic_cast<const L2_FECollection*>(fec);
if (dg_space)
{
if (L2E_nat.Ptr() == NULL)
{
L2E_nat.Reset(new L2ElementRestriction(*this));
}
return L2E_nat.Ptr();
}
if (e_ordering == ElementDofOrdering::LEXICOGRAPHIC)
{
if (L2E_lex.Ptr() == NULL)
{
L2E_lex.Reset(new ElementRestriction(*this, e_ordering));
}
return L2E_lex.Ptr();
}
// e_ordering == ElementDofOrdering::NATIVE
if (L2E_nat.Ptr() == NULL)
{
L2E_nat.Reset(new ElementRestriction(*this, e_ordering));
}
return L2E_nat.Ptr();
}
const QuadratureInterpolator *FiniteElementSpace::GetQuadratureInterpolator(
const IntegrationRule &ir) const
{
for (int i = 0; i < E2Q_array.Size(); i++)
{
const QuadratureInterpolator *qi = E2Q_array[i];
if (qi->IntRule == &ir) { return qi; }
}
QuadratureInterpolator *qi = new QuadratureInterpolator(*this, ir);
E2Q_array.Append(qi);
return qi;
}
const QuadratureInterpolator *FiniteElementSpace::GetQuadratureInterpolator(
const QuadratureSpace &qs) const
{
for (int i = 0; i < E2Q_array.Size(); i++)
{
const QuadratureInterpolator *qi = E2Q_array[i];
if (qi->qspace == &qs) { return qi; }
}
QuadratureInterpolator *qi = new QuadratureInterpolator(*this, qs);
E2Q_array.Append(qi);
return qi;
}
SparseMatrix *FiniteElementSpace::RefinementMatrix_main(
const int coarse_ndofs, const Table &coarse_elem_dof,
const DenseTensor localP[]) const
@@ -951,7 +850,7 @@ void FiniteElementSpace::GetLocalRefinementMatrices(
const FiniteElement *fe = fec->FiniteElementForGeometry(geom);
const CoarseFineTransformations &rtrans = mesh->GetRefinementTransforms();
const DenseTensor &pmats = rtrans.point_matrices[geom];
const DenseTensor &pmats = rtrans.GetPointMatrices(geom);
int nmat = pmats.SizeK();
int ldof = fe->GetDof(); // assuming the same FE everywhere
@@ -990,9 +889,7 @@ FiniteElementSpace::RefinementOperator::RefinementOperator
: fespace(fespace)
, old_elem_dof(old_elem_dof)
{
const Mesh* mesh = fespace->GetMesh();
MFEM_VERIFY(mesh->ReduceInt(fespace->GetNDofs()) >=
mesh->ReduceInt(old_ndofs),
MFEM_VERIFY(fespace->GetNDofs() >= old_ndofs,
"Previous space is not coarser.");
width = old_ndofs * fespace->GetVDim();
@@ -1102,7 +999,7 @@ FiniteElementSpace::DerefinementOperator::DerefinementOperator(
f_fes->fec->FiniteElementForGeometry(geom);
const FiniteElement *coarse_fe =
c_fes->fec->FiniteElementForGeometry(geom);
const DenseTensor &pmats = rtrans.point_matrices[geom];
const DenseTensor &pmats = rtrans.GetPointMatrices(geom);
lP.SetSize(fine_fe->GetDof(), coarse_fe->GetDof(), pmats.SizeK());
lM.SetSize(fine_fe->GetDof(), fine_fe->GetDof(), pmats.SizeK());
@@ -1218,7 +1115,7 @@ void FiniteElementSpace::GetLocalDerefinementMatrices(Geometry::Type geom,
const CoarseFineTransformations &dtrans =
mesh->ncmesh->GetDerefinementTransforms();
const DenseTensor &pmats = dtrans.point_matrices[geom];
const DenseTensor &pmats = dtrans.GetPointMatrices(geom);
const int nmat = pmats.SizeK();
const int ldof = fe->GetDof();
@@ -1323,7 +1220,7 @@ void FiniteElementSpace::GetLocalRefinementMatrices(
coarse_fes.fec->FiniteElementForGeometry(geom);
const CoarseFineTransformations &rtrans = mesh->GetRefinementTransforms();
const DenseTensor &pmats = rtrans.point_matrices[geom];
const DenseTensor &pmats = rtrans.GetPointMatrices(geom);
int nmat = pmats.SizeK();
@@ -1416,26 +1313,31 @@ void FiniteElementSpace::UpdateNURBS()
void FiniteElementSpace::Construct()
{
// This method should be used only for non-NURBS spaces.
MFEM_VERIFY(!NURBSext, "internal error");
MFEM_ASSERT(!NURBSext, "internal error");
elem_dof = NULL;
bdrElem_dof = NULL;
nvdofs = mesh->GetNV() * fec->DofForGeometry(Geometry::POINT);
if ( mesh->Dimension() > 1 )
{
nedofs = mesh->GetNEdges() * fec->DofForGeometry(Geometry::SEGMENT);
}
else
{
nedofs = 0;
}
ndofs = 0;
nedofs = nfdofs = nbdofs = 0;
nfdofs = 0;
nbdofs = 0;
bdofs = NULL;
fdofs = NULL;
cP = NULL;
cR = NULL;
cP_is_set = false;
// 'Th' is initialized/destroyed before this method is called.
nvdofs = mesh->GetNV() * fec->DofForGeometry(Geometry::POINT);
if (mesh->Dimension() > 1)
{
nedofs = mesh->GetNEdges() * fec->DofForGeometry(Geometry::SEGMENT);
}
// Th is initialized/destroyed before this method is called.
if (mesh->GetNFaces() > 0)
{
@@ -1467,7 +1369,8 @@ void FiniteElementSpace::Construct()
bdofs[0] = 0;
for (int i = 0; i < mesh->GetNE(); i++)
{
nbdofs += fec->DofForGeometry(mesh->GetElementBaseGeometry(i));
Geometry::Type geom = mesh->GetElementBaseGeometry(i);
nbdofs += fec->DofForGeometry(geom);
bdofs[i+1] = nbdofs;
}
}
@@ -1478,7 +1381,7 @@ void FiniteElementSpace::Construct()
// later.
}
void FiniteElementSpace::GetElementDofs(int i, Array<int> &dofs) const
void FiniteElementSpace::GetElementDofs (int i, Array<int> &dofs) const
{
if (elem_dof)
{
@@ -1582,10 +1485,6 @@ void FiniteElementSpace::GetElementDofs(int i, Array<int> &dofs) const
const FiniteElement *FiniteElementSpace::GetFE(int i) const
{
if (i < 0 || !mesh->GetNE()) { return NULL; }
MFEM_VERIFY(i < mesh->GetNE(),
"Invalid element id " << i << ", maximum allowed " << mesh->GetNE()-1);
const FiniteElement *FE =
fec->FiniteElementForGeometry(mesh->GetElementBaseGeometry(i));
@@ -1890,13 +1789,6 @@ void FiniteElementSpace::Destroy()
delete cR;
delete cP;
Th.Clear();
L2E_nat.Clear();
L2E_lex.Clear();
for (int i = 0; i < E2Q_array.Size(); i++)
{
delete E2Q_array[i];
}
E2Q_array.SetSize(0);
dof_elem_array.DeleteAll();
dof_ldof_array.DeleteAll();
@@ -2458,7 +2350,8 @@ const Operator &InterpolationGridTransfer::BackwardOperator()
return *B.Ptr();
}
// Construct B, if not set, define a suitable mass_integ
// Construct B
// If not set, define a suitable mass_integ
if (!mass_integ && ran_fes.GetNE() > 0)
{
const FiniteElement *f_fe_0 = ran_fes.GetFE(0);
@@ -2555,7 +2448,7 @@ L2ProjectionGridTransfer::L2Projection::L2Projection(
Vector shape_lor(ndof_lor);
const Geometry::Type geom = fe_ho->GetGeomType();
const DenseTensor &pmats = cf_tr.point_matrices[geom];
const DenseTensor &pmats = cf_tr.GetPointMatrices(geom);
emb_tr.SetIdentityTransformation(geom);
for (int iho=0; iho<nel_ho; ++iho)
@@ -2578,7 +2471,7 @@ L2ProjectionGridTransfer::L2Projection::L2Projection(
// Create the transformation that embeds the fine low-order element
// within the coarse high-order element in reference space
emb_tr.GetPointMat() = pmats(cf_tr.embeddings[ilor].matrix);
emb_tr.GetPointMat() = pmats(iref);
emb_tr.FinalizeTransformation();
int order = fe_lor->GetOrder() + fe_ho->GetOrder() + el_tr->OrderW();
@@ -2621,7 +2514,7 @@ void L2ProjectionGridTransfer::L2Projection::Mult(
fes_ho.GetElementVDofs(iho, vdofs);
x.GetSubVector(vdofs, xel_mat.GetData());
mfem::Mult(R(iho), xel_mat, yel_mat);
// Place result correctly into the low-order vector
// Place result correctly into low-order vector
for (int iref=0; iref<nref; ++iref)
{
int ilor = ho2lor.GetRow(iho)[iref];
@@ -2679,554 +2572,4 @@ const Operator &L2ProjectionGridTransfer::BackwardOperator()
return *B;
}
L2ElementRestriction::L2ElementRestriction(const FiniteElementSpace &fes)
: ne(fes.GetNE()),
vdim(fes.GetVDim()),
byvdim(fes.GetOrdering() == Ordering::byVDIM),
ndof(ne > 0 ? fes.GetFE(0)->GetDof() : 0)
{
height = vdim*ne*ndof;
width = vdim*ne*ndof;
}
void L2ElementRestriction::Mult(const Vector &x, Vector &y) const
{
for (int iel=0; iel<ne; ++iel)
{
for (int vd=0; vd<vdim; ++vd)
{
for (int idof=0; idof<ndof; ++idof)
{
// E-vector dimensions (dofs, vdim, elements)
// L-vector dimensions: byVDIM: (vdim, dofs, element)
// byNODES: (dofs, elements, vdim)
int yidx = iel*vdim*ndof + vd*ndof + idof;
int xidx;
if (byvdim)
{
xidx = iel*ndof*vdim + idof*vdim + vd;
}
else
{
xidx = vd*ne*ndof + iel*ndof + idof;
}
y[yidx] = x[xidx];
}
}
}
}
void L2ElementRestriction::MultTranspose(const Vector &x, Vector &y) const
{
// Since this restriction is a permutation, the transpose is the inverse
for (int iel=0; iel<ne; ++iel)
{
for (int vd=0; vd<vdim; ++vd)
{
for (int idof=0; idof<ndof; ++idof)
{
// E-vector dimensions (dofs, vdim, elements)
// L-vector dimensions: byVDIM: (vdim, dofs, element)
// byNODES: (dofs, elements, vdim)
int xidx = iel*vdim*ndof + vd*ndof + idof;
int yidx;
if (byvdim)
{
yidx = iel*ndof*vdim + idof*vdim + vd;
}
else
{
yidx = vd*ne*ndof + iel*ndof + idof;
}
y[yidx] = x[xidx];
}
}
}
}
ElementRestriction::ElementRestriction(const FiniteElementSpace &f,
ElementDofOrdering e_ordering)
: fes(f),
ne(fes.GetNE()),
vdim(fes.GetVDim()),
byvdim(fes.GetOrdering() == Ordering::byVDIM),
ndofs(fes.GetNDofs()),
dof(ne > 0 ? fes.GetFE(0)->GetDof() : 0),
nedofs(ne*dof),
offsets(ndofs+1),
indices(ne*dof)
{
// Assuming all finite elements are the same.
height = vdim*ne*dof;
width = fes.GetVSize();
const bool dof_reorder = (e_ordering == ElementDofOrdering::LEXICOGRAPHIC);
const int *dof_map = NULL;
if (dof_reorder && ne > 0)
{
for (int e = 0; e < ne; ++e)
{
const FiniteElement *fe = fes.GetFE(e);
const TensorBasisElement* el =
dynamic_cast<const TensorBasisElement*>(fe);
if (el) { continue; }
mfem_error("Finite element not suitable for lexicographic ordering");
}
const FiniteElement *fe = fes.GetFE(0);
const TensorBasisElement* el =
dynamic_cast<const TensorBasisElement*>(fe);
const Array<int> &fe_dof_map = el->GetDofMap();
MFEM_VERIFY(fe_dof_map.Size() > 0, "invalid dof map");
dof_map = fe_dof_map.GetData();
}
const Table& e2dTable = fes.GetElementToDofTable();
const int* elementMap = e2dTable.GetJ();
// We will be keeping a count of how many local nodes point to its global dof
for (int i = 0; i <= ndofs; ++i)
{
offsets[i] = 0;
}
for (int e = 0; e < ne; ++e)
{
for (int d = 0; d < dof; ++d)
{
const int gid = elementMap[dof*e + d];
++offsets[gid + 1];
}
}
// Aggregate to find offsets for each global dof
for (int i = 1; i <= ndofs; ++i)
{
offsets[i] += offsets[i - 1];
}
// For each global dof, fill in all local nodes that point to it
for (int e = 0; e < ne; ++e)
{
for (int d = 0; d < dof; ++d)
{
const int did = (!dof_reorder)?d:dof_map[d];
const int gid = elementMap[dof*e + did];
const int lid = dof*e + d;
indices[offsets[gid]++] = lid;
}
}
// We shifted the offsets vector by 1 by using it as a counter.
// Now we shift it back.
for (int i = ndofs; i > 0; --i)
{
offsets[i] = offsets[i - 1];
}
offsets[0] = 0;
}
void ElementRestriction::Mult(const Vector& x, Vector& y) const
{
// Assumes all elements have the same number of dofs
const int nd = dof;
const int vd = vdim;
const bool t = byvdim;
auto d_offsets = offsets.Read();
auto d_indices = indices.Read();
auto d_x = Reshape(x.Read(), t?vd:ndofs, t?ndofs:vd);
auto d_y = Reshape(y.Write(), nd, vd, ne);
MFEM_FORALL(i, ndofs,
{
const int offset = d_offsets[i];
const int nextOffset = d_offsets[i+1];
for (int c = 0; c < vd; ++c)
{
const double dofValue = d_x(t?c:i,t?i:c);
for (int j = offset; j < nextOffset; ++j)
{
const int idx_j = d_indices[j];
d_y(idx_j % nd, c, idx_j / nd) = dofValue;
}
}
});
}
void ElementRestriction::MultTranspose(const Vector& x, Vector& y) const
{
// Assumes all elements have the same number of dofs
const int nd = dof;
const int vd = vdim;
const bool t = byvdim;
auto d_offsets = offsets.Read();
auto d_indices = indices.Read();
auto d_x = Reshape(x.Read(), nd, vd, ne);
auto d_y = Reshape(y.Write(), t?vd:ndofs, t?ndofs:vd);
MFEM_FORALL(i, ndofs,
{
const int offset = d_offsets[i];
const int nextOffset = d_offsets[i + 1];
for (int c = 0; c < vd; ++c)
{
double dofValue = 0;
for (int j = offset; j < nextOffset; ++j)
{
const int idx_j = d_indices[j];
dofValue += d_x(idx_j % nd, c, idx_j / nd);
}
d_y(t?c:i,t?i:c) = dofValue;
}
});
}
QuadratureInterpolator::QuadratureInterpolator(const FiniteElementSpace &fes,
const IntegrationRule &ir)
{
fespace = &fes;
qspace = NULL;
IntRule = &ir;
use_tensor_products = true; // not implemented yet (not used)
if (fespace->GetNE() == 0) { return; }
const FiniteElement *fe = fespace->GetFE(0);
MFEM_VERIFY(dynamic_cast<const ScalarFiniteElement*>(fe) != NULL,
"Only scalar finite elements are supported");
}
QuadratureInterpolator::QuadratureInterpolator(const FiniteElementSpace &fes,
const QuadratureSpace &qs)
{
fespace = &fes;
qspace = &qs;
IntRule = NULL;
use_tensor_products = true; // not implemented yet (not used)
if (fespace->GetNE() == 0) { return; }
const FiniteElement *fe = fespace->GetFE(0);
MFEM_VERIFY(dynamic_cast<const ScalarFiniteElement*>(fe) != NULL,
"Only scalar finite elements are supported");
}
template<const int T_VDIM, const int T_ND, const int T_NQ>
void QuadratureInterpolator::Eval2D(
const int NE,
const int vdim,
const DofToQuad &maps,
const Vector &e_vec,
Vector &q_val,
Vector &q_der,
Vector &q_det,
const int eval_flags)
{
const int nd = maps.ndof;
const int nq = maps.nqpt;
const int ND = T_ND ? T_ND : nd;
const int NQ = T_NQ ? T_NQ : nq;
const int VDIM = T_VDIM ? T_VDIM : vdim;
MFEM_VERIFY(ND <= MAX_ND2D, "");
MFEM_VERIFY(NQ <= MAX_NQ2D, "");
MFEM_VERIFY(VDIM == 2 || !(eval_flags & DETERMINANTS), "");
auto B = Reshape(maps.B.Read(), NQ, ND);
auto G = Reshape(maps.G.Read(), NQ, 2, ND);
auto E = Reshape(e_vec.Read(), ND, VDIM, NE);
auto val = Reshape(q_val.Write(), NQ, VDIM, NE);
auto der = Reshape(q_der.Write(), NQ, VDIM, 2, NE);
auto det = Reshape(q_det.Write(), NQ, NE);
MFEM_FORALL(e, NE,
{
const int ND = T_ND ? T_ND : nd;
const int NQ = T_NQ ? T_NQ : nq;
const int VDIM = T_VDIM ? T_VDIM : vdim;
constexpr int max_ND = T_ND ? T_ND : MAX_ND2D;
constexpr int max_VDIM = T_VDIM ? T_VDIM : MAX_VDIM2D;
double s_E[max_VDIM*max_ND];
for (int d = 0; d < ND; d++)
{
for (int c = 0; c < VDIM; c++)
{
s_E[c+d*VDIM] = E(d,c,e);
}
}
for (int q = 0; q < NQ; ++q)
{
if (eval_flags & VALUES)
{
double ed[max_VDIM];
for (int c = 0; c < VDIM; c++) { ed[c] = 0.0; }
for (int d = 0; d < ND; ++d)
{
const double b = B(q,d);
for (int c = 0; c < VDIM; c++) { ed[c] += b*s_E[c+d*VDIM]; }
}
for (int c = 0; c < VDIM; c++) { val(q,c,e) = ed[c]; }
}
if ((eval_flags & DERIVATIVES) || (eval_flags & DETERMINANTS))
{
// use MAX_VDIM2D to avoid "subscript out of range" warnings
double D[MAX_VDIM2D*2];
for (int i = 0; i < 2*VDIM; i++) { D[i] = 0.0; }
for (int d = 0; d < ND; ++d)
{
const double wx = G(q,0,d);
const double wy = G(q,1,d);
for (int c = 0; c < VDIM; c++)
{
double s_e = s_E[c+d*VDIM];
D[c+VDIM*0] += s_e * wx;
D[c+VDIM*1] += s_e * wy;
}
}
if (eval_flags & DERIVATIVES)
{
for (int c = 0; c < VDIM; c++)
{
der(q,c,0,e) = D[c+VDIM*0];
der(q,c,1,e) = D[c+VDIM*1];
}
}
if (VDIM == 2 && (eval_flags & DETERMINANTS))
{
// The check (VDIM == 2) should eliminate this block when VDIM is
// known at compile time and (VDIM != 2).
det(q,e) = D[0]*D[3] - D[1]*D[2];
}
}
}
});
}
template<const int T_VDIM, const int T_ND, const int T_NQ>
void QuadratureInterpolator::Eval3D(
const int NE,
const int vdim,
const DofToQuad &maps,
const Vector &e_vec,
Vector &q_val,
Vector &q_der,
Vector &q_det,
const int eval_flags)
{
const int nd = maps.ndof;
const int nq = maps.nqpt;
const int ND = T_ND ? T_ND : nd;
const int NQ = T_NQ ? T_NQ : nq;
const int VDIM = T_VDIM ? T_VDIM : vdim;
MFEM_VERIFY(ND <= MAX_ND3D, "");
MFEM_VERIFY(NQ <= MAX_NQ3D, "");
MFEM_VERIFY(VDIM == 3 || !(eval_flags & DETERMINANTS), "");
auto B = Reshape(maps.B.Read(), NQ, ND);
auto G = Reshape(maps.G.Read(), NQ, 3, ND);
auto E = Reshape(e_vec.Read(), ND, VDIM, NE);
auto val = Reshape(q_val.Write(), NQ, VDIM, NE);
auto der = Reshape(q_der.Write(), NQ, VDIM, 3, NE);
auto det = Reshape(q_det.Write(), NQ, NE);
MFEM_FORALL(e, NE,
{
const int ND = T_ND ? T_ND : nd;
const int NQ = T_NQ ? T_NQ : nq;
const int VDIM = T_VDIM ? T_VDIM : vdim;
constexpr int max_ND = T_ND ? T_ND : MAX_ND3D;
constexpr int max_VDIM = T_VDIM ? T_VDIM : MAX_VDIM3D;
double s_E[max_VDIM*max_ND];
for (int d = 0; d < ND; d++)
{
for (int c = 0; c < VDIM; c++)
{
s_E[c+d*VDIM] = E(d,c,e);
}
}
for (int q = 0; q < NQ; ++q)
{
if (eval_flags & VALUES)
{
double ed[max_VDIM];
for (int c = 0; c < VDIM; c++) { ed[c] = 0.0; }
for (int d = 0; d < ND; ++d)
{
const double b = B(q,d);
for (int c = 0; c < VDIM; c++) { ed[c] += b*s_E[c+d*VDIM]; }
}
for (int c = 0; c < VDIM; c++) { val(q,c,e) = ed[c]; }
}
if ((eval_flags & DERIVATIVES) || (eval_flags & DETERMINANTS))
{
// use MAX_VDIM3D to avoid "subscript out of range" warnings
double D[MAX_VDIM3D*3];
for (int i = 0; i < 3*VDIM; i++) { D[i] = 0.0; }
for (int d = 0; d < ND; ++d)
{
const double wx = G(q,0,d);
const double wy = G(q,1,d);
const double wz = G(q,2,d);
for (int c = 0; c < VDIM; c++)
{
double s_e = s_E[c+d*VDIM];
D[c+VDIM*0] += s_e * wx;
D[c+VDIM*1] += s_e * wy;
D[c+VDIM*2] += s_e * wz;
}
}
if (eval_flags & DERIVATIVES)
{
for (int c = 0; c < VDIM; c++)
{
der(q,c,0,e) = D[c+VDIM*0];
der(q,c,1,e) = D[c+VDIM*1];
der(q,c,2,e) = D[c+VDIM*2];
}
}
if (VDIM == 3 && (eval_flags & DETERMINANTS))
{
// The check (VDIM == 3) should eliminate this block when VDIM is
// known at compile time and (VDIM != 3).
det(q,e) = D[0] * (D[4] * D[8] - D[5] * D[7]) +
D[3] * (D[2] * D[7] - D[1] * D[8]) +
D[6] * (D[1] * D[5] - D[2] * D[4]);
}
}
}
});
}
void QuadratureInterpolator::Mult(
const Vector &e_vec, unsigned eval_flags,
Vector &q_val, Vector &q_der, Vector &q_det) const
{
const int ne = fespace->GetNE();
if (ne == 0) { return; }
const int vdim = fespace->GetVDim();
const int dim = fespace->GetMesh()->Dimension();
const FiniteElement *fe = fespace->GetFE(0);
const IntegrationRule *ir =
IntRule ? IntRule : &qspace->GetElementIntRule(0);
const DofToQuad &maps = fe->GetDofToQuad(*ir, DofToQuad::FULL);
const int nd = maps.ndof;
const int nq = maps.nqpt;
void (*eval_func)(
const int NE,
const int vdim,
const DofToQuad &maps,
const Vector &e_vec,
Vector &q_val,
Vector &q_der,
Vector &q_det,
const int eval_flags) = NULL;
if (vdim == 1)
{
if (dim == 2)
{
switch (100*nd + nq)
{
// Q0
case 101: eval_func = &Eval2D<1,1,1>; break;
case 104: eval_func = &Eval2D<1,1,4>; break;
// Q1
case 404: eval_func = &Eval2D<1,4,4>; break;
case 409: eval_func = &Eval2D<1,4,9>; break;
// Q2
case 909: eval_func = &Eval2D<1,9,9>; break;
case 916: eval_func = &Eval2D<1,9,16>; break;
// Q3
case 1616: eval_func = &Eval2D<1,16,16>; break;
case 1625: eval_func = &Eval2D<1,16,25>; break;
case 1636: eval_func = &Eval2D<1,16,36>; break;
// Q4
case 2525: eval_func = &Eval2D<1,25,25>; break;
case 2536: eval_func = &Eval2D<1,25,36>; break;
case 2549: eval_func = &Eval2D<1,25,49>; break;
case 2564: eval_func = &Eval2D<1,25,64>; break;
}
if (nq >= 100 || !eval_func)
{
eval_func = &Eval2D<1>;
}
}
else if (dim == 3)
{
switch (1000*nd + nq)
{
// Q0
case 1001: eval_func = &Eval3D<1,1,1>; break;
case 1008: eval_func = &Eval3D<1,1,8>; break;
// Q1
case 8008: eval_func = &Eval3D<1,8,8>; break;
case 8027: eval_func = &Eval3D<1,8,27>; break;
// Q2
case 27027: eval_func = &Eval3D<1,27,27>; break;
case 27064: eval_func = &Eval3D<1,27,64>; break;
// Q3
case 64064: eval_func = &Eval3D<1,64,64>; break;
case 64125: eval_func = &Eval3D<1,64,125>; break;
case 64216: eval_func = &Eval3D<1,64,216>; break;
// Q4
case 125125: eval_func = &Eval3D<1,125,125>; break;
case 125216: eval_func = &Eval3D<1,125,216>; break;
}
if (nq >= 1000 || !eval_func)
{
eval_func = &Eval3D<1>;
}
}
}
else if (vdim == dim)
{
if (dim == 2)
{
switch (100*nd + nq)
{
// Q1
case 404: eval_func = &Eval2D<2,4,4>; break;
case 409: eval_func = &Eval2D<2,4,9>; break;
// Q2
case 909: eval_func = &Eval2D<2,9,9>; break;
case 916: eval_func = &Eval2D<2,9,16>; break;
// Q3
case 1616: eval_func = &Eval2D<2,16,16>; break;
case 1625: eval_func = &Eval2D<2,16,25>; break;
case 1636: eval_func = &Eval2D<2,16,36>; break;
// Q4
case 2525: eval_func = &Eval2D<2,25,25>; break;
case 2536: eval_func = &Eval2D<2,25,36>; break;
case 2549: eval_func = &Eval2D<2,25,49>; break;
case 2564: eval_func = &Eval2D<2,25,64>; break;
}
if (nq >= 100 || !eval_func)
{
eval_func = &Eval2D<2>;
}
}
else if (dim == 3)
{
switch (1000*nd + nq)
{
// Q1
case 8008: eval_func = &Eval3D<3,8,8>; break;
case 8027: eval_func = &Eval3D<3,8,27>; break;
// Q2
case 27027: eval_func = &Eval3D<3,27,27>; break;
case 27064: eval_func = &Eval3D<3,27,64>; break;
// Q3
case 64064: eval_func = &Eval3D<3,64,64>; break;
case 64125: eval_func = &Eval3D<3,64,125>; break;
case 64216: eval_func = &Eval3D<3,64,216>; break;
// Q4
case 125125: eval_func = &Eval3D<3,125,125>; break;
case 125216: eval_func = &Eval3D<3,125,216>; break;
}
if (nq >= 1000 || !eval_func)
{
eval_func = &Eval3D<3>;
}
}
}
if (eval_func)
{
eval_func(ne, vdim, maps, e_vec, q_val, q_der, q_det, eval_flags);
}
else
{
MFEM_ABORT("case not supported yet");
}
}
void QuadratureInterpolator::MultTranspose(
unsigned eval_flags, const Vector &q_val, const Vector &q_der,
Vector &e_vec) const
{
MFEM_ABORT("this method is not implemented yet");
}
} // namespace mfem
-204
View File
@@ -59,25 +59,9 @@ Ordering::Map<Ordering::byVDIM>(int ndofs, int vdim, int dof, int vd)
}
/// Constants describing the possible orderings of the DOFs in one element.
enum class ElementDofOrdering
{
/// Native ordering as defined by the FiniteElement.
/** This ordering can be used by tensor-product elements when the
interpolation from the DOFs to quadrature points does not use the
tensor-product structure. */
NATIVE,
/// Lexicographic ordering for tensor-product FiniteElements.
/** This ordering can be used only with tensor-product elements. */
LEXICOGRAPHIC
};
// Forward declarations
class NURBSExtension;
class BilinearFormIntegrator;
class QuadratureSpace;
class QuadratureInterpolator;
/** @brief Class FiniteElementSpace - responsible for providing FEM view of the
@@ -126,11 +110,6 @@ protected:
/// Transformation to apply to GridFunctions after space Update().
OperatorHandle Th;
/// The element restriction operators, see GetElementRestriction().
mutable OperatorHandle L2E_nat, L2E_lex;
mutable Array<QuadratureInterpolator*> E2Q_array;
long sequence; // should match Mesh::GetSequence
void UpdateNURBS();
@@ -146,8 +125,6 @@ protected:
/// Helper to get vertex, edge or face DOFs (entity=0,1,2 resp.).
void GetEntityDofs(int entity, int index, Array<int> &dofs) const;
// Get degenerate face DOFs: see explanation in method implementation.
void GetDegenerateFaceDofs(int index, Array<int> &dofs) const;
/// Calculate the cP and cR matrices for a nonconforming mesh.
void BuildConformingInterpolation() const;
@@ -158,7 +135,6 @@ protected:
static bool DofFinalizable(int dof, const Array<bool>& finalized,
const SparseMatrix& deps);
/// Replicate 'mat' in the vector dimension, according to vdim ordering mode.
void MakeVDimMatrix(SparseMatrix &mat) const;
/// GridFunction interpolation operator applicable after mesh refinement.
@@ -281,61 +257,14 @@ public:
bool Conforming() const { return mesh->Conforming(); }
bool Nonconforming() const { return mesh->Nonconforming(); }
/// The returned SparseMatrix is owned by the FiniteElementSpace.
const SparseMatrix *GetConformingProlongation() const;
/// The returned SparseMatrix is owned by the FiniteElementSpace.
const SparseMatrix *GetConformingRestriction() const;
/// The returned Operator is owned by the FiniteElementSpace.
virtual const Operator *GetProlongationMatrix() const
{ return GetConformingProlongation(); }
/// The returned SparseMatrix is owned by the FiniteElementSpace.
virtual const SparseMatrix *GetRestrictionMatrix() const
{ return GetConformingRestriction(); }
/// Return an Operator that converts L-vectors to E-vectors.
/** An L-vector is a vector of size GetVSize() which is the same size as a
GridFunction. An E-vector represents the element-wise discontinuous
version of the FE space.
The layout of the E-vector is: ND x VDIM x NE, where ND is the number of
degrees of freedom, VDIM is the vector dimension of the FE space, and NE
is the number of the mesh elements.
The parameter @a e_ordering describes how the local DOFs in each element
should be ordered, see ElementDofOrdering.
For discontinuous spaces, the element restriction corresponds to a
permutation of the degrees of freedom, implemented by the
L2ElementRestriction class.
The returned Operator is owned by the FiniteElementSpace. */
const Operator *GetElementRestriction(ElementDofOrdering e_ordering) const;
/** @brief Return a QuadratureInterpolator that interpolates E-vectors to
quadrature point values and/or derivatives (Q-vectors). */
/** An E-vector represents the element-wise discontinuous version of the FE
space and can be obtained, for example, from a GridFunction using the
Operator returned by GetElementRestriction().
All elements will use the same IntegrationRule, @a ir as the target
quadrature points. */
const QuadratureInterpolator *GetQuadratureInterpolator(
const IntegrationRule &ir) const;
/** @brief Return a QuadratureInterpolator that interpolates E-vectors to
quadrature point values and/or derivatives (Q-vectors). */
/** An E-vector represents the element-wise discontinuous version of the FE
space and can be obtained, for example, from a GridFunction using the
Operator returned by GetElementRestriction().
The target quadrature points in the elements are described by the given
QuadratureSpace, @a qs. */
const QuadratureInterpolator *GetQuadratureInterpolator(
const QuadratureSpace &qs) const;
/// Returns vector dimension.
inline int GetVDim() const { return vdim; }
@@ -877,139 +806,6 @@ public:
virtual const Operator &BackwardOperator();
};
/// Operator that converts FiniteElementSpace L-vectors to E-vectors.
/** Objects of this type are typically created and owned by FiniteElementSpace
objects, see FiniteElementSpace::GetElementRestriction(). */
class ElementRestriction : public Operator
{
protected:
const FiniteElementSpace &fes;
const int ne;
const int vdim;
const bool byvdim;
const int ndofs;
const int dof;
const int nedofs;
Array<int> offsets;
Array<int> indices;
public:
ElementRestriction(const FiniteElementSpace&, ElementDofOrdering);
void Mult(const Vector &x, Vector &y) const;
void MultTranspose(const Vector &x, Vector &y) const;
};
/// Operator that converts L2 FiniteElementSpace L-vectors to E-vectors.
/** Objects of this type are typically created and owned by FiniteElementSpace
objects, see FiniteElementSpace::GetElementRestriction(). L-vectors
corresponding to grid functions in L2 finite element spaces differ from
E-vectors only in the ordering of the degrees of freedom. */
class L2ElementRestriction : public Operator
{
const int ne;
const int vdim;
const bool byvdim;
const int ndof;
public:
L2ElementRestriction(const FiniteElementSpace&);
void Mult(const Vector &x, Vector &y) const;
void MultTranspose(const Vector &x, Vector &y) const;
};
/** @brief A class that performs interpolation from an E-vector to quadrature
point values and/or derivatives (Q-vectors). */
/** An E-vector represents the element-wise discontinuous version of the FE
space and can be obtained, for example, from a GridFunction using the
Operator returned by FiniteElementSpace::GetElementRestriction().
The target quadrature points in the elements can be described either by an
IntegrationRule (all mesh elements must be of the same type in this case) or
by a QuadratureSpace. */
class QuadratureInterpolator
{
protected:
friend class FiniteElementSpace; // Needs access to qspace and IntRule
const FiniteElementSpace *fespace; ///< Not owned
const QuadratureSpace *qspace; ///< Not owned
const IntegrationRule *IntRule; ///< Not owned
mutable bool use_tensor_products;
static const int MAX_NQ2D = 100;
static const int MAX_ND2D = 100;
static const int MAX_VDIM2D = 2;
static const int MAX_NQ3D = 1000;
static const int MAX_ND3D = 1000;
static const int MAX_VDIM3D = 3;
public:
enum EvalFlags
{
VALUES = 1 << 0, ///< Evaluate the values at quadrature points
DERIVATIVES = 1 << 1, ///< Evaluate the derivatives at quadrature points
/** @brief Assuming the derivative at quadrature points form a matrix,
this flag can be used to compute and store their determinants. This
flag can only be used in Mult(). */
DETERMINANTS = 1 << 2
};
QuadratureInterpolator(const FiniteElementSpace &fes,
const IntegrationRule &ir);
QuadratureInterpolator(const FiniteElementSpace &fes,
const QuadratureSpace &qs);
/** @brief Disable the use of tensor product evaluations, for tensor-product
elements, e.g. quads and hexes. */
/** Currently, tensor product evaluations are not implemented and this method
has no effect. */
void DisableTensorProducts(bool disable = true) const
{ use_tensor_products = !disable; }
/// Interpolate the E-vector @a e_vec to quadrature points.
/** The @a eval_flags are a bitwise mask of constants from the EvalFlags
enumeration. When the VALUES flag is set, the values at quadrature points
are computed and stored in the Vector @a q_val. Similarly, when the flag
DERIVATIVES is set, the derivatives are computed and stored in @a q_der.
When the DETERMINANTS flags is set, it is assumed that the derivatives
form a matrix at each quadrature point (i.e. the associated
FiniteElementSpace is a vector space) and their determinants are computed
and stored in @a q_det. */
void Mult(const Vector &e_vec, unsigned eval_flags,
Vector &q_val, Vector &q_der, Vector &q_det) const;
/// Perform the transpose operation of Mult(). (TODO)
void MultTranspose(unsigned eval_flags, const Vector &q_val,
const Vector &q_der, Vector &e_vec) const;
// Compute kernels follow (cannot be private or protected with nvcc)
/// Template compute kernel for 2D.
template<const int T_VDIM = 0, const int T_ND = 0, const int T_NQ = 0>
static void Eval2D(const int NE,
const int vdim,
const DofToQuad &maps,
const Vector &e_vec,
Vector &q_val,
Vector &q_der,
Vector &q_det,
const int eval_flags);
/// Template compute kernel for 3D.
template<const int T_VDIM = 0, const int T_ND = 0, const int T_NQ = 0>
static void Eval3D(const int NE,
const int vdim,
const DofToQuad &maps,
const Vector &e_vec,
Vector &q_val,
Vector &q_der,
Vector &q_det,
const int eval_flags);
};
}
#endif
+7 -19
View File
@@ -30,9 +30,6 @@ using namespace std;
GridFunction::GridFunction(Mesh *m, std::istream &input)
: Vector()
{
// Grid functions are stored on the device
UseDevice(true);
fes = new FiniteElementSpace;
fec = fes->Load(m, input);
@@ -63,8 +60,6 @@ GridFunction::GridFunction(Mesh *m, std::istream &input)
GridFunction::GridFunction(Mesh *m, GridFunction *gf_array[], int num_pieces)
{
UseDevice(true);
// all GridFunctions must have the same FE collection, vdim, ordering
int vdim, ordering;
@@ -168,7 +163,6 @@ void GridFunction::Update()
Vector old_data;
old_data.Swap(*this);
SetSize(T->Height());
UseDevice(true);
T->Mult(old_data, *this);
}
else
@@ -198,9 +192,7 @@ void GridFunction::MakeRef(FiniteElementSpace *f, Vector &v, int v_offset)
MFEM_ASSERT(v.Size() >= v_offset + f->GetVSize(), "");
if (f != fes) { Destroy(); }
fes = f;
v.UseDevice(true);
NewMemoryAndSize(Memory<double>(v.GetMemory(), v_offset, fes->GetVSize()),
fes->GetVSize(), true);
NewDataAndSize((double *)v + v_offset, fes->GetVSize());
sequence = fes->GetSequence();
}
@@ -223,16 +215,13 @@ void GridFunction::MakeTRef(FiniteElementSpace *f, Vector &tv, int tv_offset)
if (!f->GetProlongationMatrix())
{
MakeRef(f, tv, tv_offset);
t_vec.NewMemoryAndSize(data, size, false);
t_vec.NewDataAndSize(data, size);
}
else
{
MFEM_ASSERT(tv.Size() >= tv_offset + f->GetTrueVSize(), "");
SetSpace(f); // works in parallel
tv.UseDevice(true);
const int tv_size = f->GetTrueVSize();
t_vec.NewMemoryAndSize(Memory<double>(tv.GetMemory(), tv_offset, tv_size),
tv_size, true);
t_vec.NewDataAndSize(&tv(tv_offset), f->GetTrueVSize());
}
}
@@ -313,7 +302,7 @@ int GridFunction::VectorDim() const
{
fe = fes->GetFE(0);
}
if (!fe || fe->GetRangeType() == FiniteElement::SCALAR)
if (fe->GetRangeType() == FiniteElement::SCALAR)
{
return fes->GetVDim();
}
@@ -326,7 +315,7 @@ void GridFunction::GetTrueDofs(Vector &tv) const
if (!R)
{
// R is identity -> make tv a reference to *this
tv.NewDataAndSize(const_cast<double*>((const double*)data), size);
tv.NewDataAndSize(data, size);
}
else
{
@@ -1378,7 +1367,7 @@ void GridFunction::AccumulateAndCountBdrValues(
if (vdofs.Size() == 0) { continue; }
transf = mesh->GetEdgeTransformation(edge);
transf->Attribute = -1; // TODO: set the boundary attribute
transf->Attribute = -1; // FIXME: set the boundary attribute
fe = fes->GetEdgeElement(edge);
if (!vcoeff)
{
@@ -1482,7 +1471,7 @@ void GridFunction::AccumulateAndCountBdrTangentValues(
if (dofs.Size() == 0) { continue; }
T = mesh->GetEdgeTransformation(edge);
T->Attribute = -1; // TODO: set the boundary attribute
T->Attribute = -1; // FIXME: set the boundary attribute
fe = fes->GetEdgeElement(edge);
lvec.SetSize(fe->GetDof());
fe->Project(vcoeff, *T, lvec);
@@ -1787,7 +1776,6 @@ void GridFunction::ProjectBdrCoefficient(VectorCoefficient &vcoeff,
void GridFunction::ProjectBdrCoefficient(Coefficient *coeff[], Array<int> &attr)
{
Array<int> values_counter;
this->HostReadWrite();
AccumulateAndCountBdrValues(coeff, NULL, attr, values_counter);
ComputeMeans(ARITHMETIC, values_counter);
#ifdef MFEM_DEBUG
+7 -12
View File
@@ -68,16 +68,15 @@ protected:
public:
GridFunction() { fes = NULL; fec = NULL; sequence = 0; UseDevice(true); }
GridFunction() { fes = NULL; fec = NULL; sequence = 0; }
/// Copy constructor. The internal true-dof vector #t_vec is not copied.
GridFunction(const GridFunction &orig)
: Vector(orig), fes(orig.fes), fec(NULL), sequence(orig.sequence)
{ UseDevice(true); }
: Vector(orig), fes(orig.fes), fec(NULL), sequence(orig.sequence) { }
/// Construct a GridFunction associated with the FiniteElementSpace @a *f.
GridFunction(FiniteElementSpace *f) : Vector(f->GetVSize())
{ fes = f; fec = NULL; sequence = f->GetSequence(); UseDevice(true); }
{ fes = f; fec = NULL; sequence = f->GetSequence(); }
/// Construct a GridFunction using previously allocated array @a data.
/** The GridFunction does not assume ownership of @a data which is assumed to
@@ -85,9 +84,8 @@ public:
for externally allocated array, the pointer @a data can be NULL. The data
array can be replaced later using the method SetData().
*/
GridFunction(FiniteElementSpace *f, double *data)
: Vector(data, f->GetVSize())
{ fes = f; fec = NULL; sequence = f->GetSequence(); UseDevice(true); }
GridFunction(FiniteElementSpace *f, double *data) : Vector(data, f->GetVSize())
{ fes = f; fec = NULL; sequence = f->GetSequence(); }
/// Construct a GridFunction on the given Mesh, using the data from @a input.
/** The content of @a input should be in the format created by the method
@@ -126,7 +124,6 @@ public:
/// @brief Extract the true-dofs from the GridFunction. If all dofs are true,
/// then `tv` will be set to point to the data of `*this`.
/** @warning This method breaks const-ness when all dofs are true. */
void GetTrueDofs(Vector &tv) const;
/// Shortcut for calling GetTrueDofs() with GetTrueVector() as argument.
@@ -705,7 +702,7 @@ inline void QuadratureFunction::GetElementValues(int idx, Vector &values) const
const int s_offset = qspace->element_offsets[idx];
const int sl_size = qspace->element_offsets[idx+1] - s_offset;
values.SetSize(vdim*sl_size);
const double *q = data + vdim*s_offset;
double *q = data + vdim*s_offset;
for (int i = 0; i<values.Size(); i++)
{
values(i) = *(q++);
@@ -725,14 +722,12 @@ inline void QuadratureFunction::GetElementValues(int idx,
const int s_offset = qspace->element_offsets[idx];
const int sl_size = qspace->element_offsets[idx+1] - s_offset;
values.SetSize(vdim, sl_size);
const double *q = data + vdim*s_offset;
double *q = data + vdim*s_offset;
for (int j = 0; j<sl_size; j++)
{
for (int i = 0; i<vdim; i++)
{
values(i,j) = *(q++);
}
}
}
} // namespace mfem
-13
View File
@@ -78,19 +78,6 @@ IntegrationRule::IntegrationRule(IntegrationRule &irx, IntegrationRule &iry,
}
}
const Array<double> &IntegrationRule::GetWeights() const
{
if (weights.Size() != GetNPoints())
{
weights.SetSize(GetNPoints());
for (int i = 0; i < GetNPoints(); i++)
{
weights[i] = IntPoint(i).weight;
}
}
return weights;
}
void IntegrationRule::GrundmannMollerSimplexRule(int s, int n)
{
// for pow on older compilers
-8
View File
@@ -87,9 +87,6 @@ class IntegrationRule : public Array<IntegrationPoint>
private:
friend class IntegrationRules;
int Order;
/** @brief The quadrature weights gathered as a contiguous array. Created
by request with the method GetWeights(). */
mutable Array<double> weights;
/// Define n-simplex rule (triangle/tetrahedron for n=2/3) of order (2s+1)
void GrundmannMollerSimplexRule(int s, int n = 3);
@@ -242,11 +239,6 @@ public:
/// Returns a const reference to the i-th integration point
const IntegrationPoint &IntPoint(int i) const { return (*this)[i]; }
/// Return the quadrature weights in a contiguous array.
/** If a contiguous array is not required, the weights can be accessed with
a call like this: `IntPoint(i).weight`. */
const Array<double> &GetWeights() const;
/// Destroys an IntegrationRule object
~IntegrationRule() { }
};
-11
View File
@@ -19,9 +19,6 @@ namespace mfem
LinearForm::LinearForm(FiniteElementSpace *f, LinearForm *lf)
: Vector(f->GetVSize())
{
// Linear forms are stored on the device
UseDevice(true);
fes = f;
extern_lfs = 1;
@@ -86,10 +83,6 @@ void LinearForm::Assemble()
Vector::operator=(0.0);
// The above operation is executed on device because of UseDevice().
// The first use of AddElementVector() below will move it back to host
// because both 'vdofs' and 'elemvect' are on host.
if (dlfi.Size())
{
for (i = 0; i < fes -> GetNE(); i++)
@@ -138,11 +131,7 @@ void LinearForm::Assemble()
eltrans = fes -> GetBdrElementTransformation (i);
for (int k=0; k < blfi.Size(); k++)
{
if (blfi_marker[k] &&
(*blfi_marker[k])[bdr_attr-1] == 0) { continue; }
blfi[k]->AssembleRHSElementVect(*fes->GetBE(i), *eltrans, elemvect);
AddElementVector (vdofs, elemvect);
}
}
+2 -2
View File
@@ -64,7 +64,7 @@ public:
/// Creates linear form associated with FE space @a *f.
/** The pointer @a f is not owned by the newly constructed object. */
LinearForm(FiniteElementSpace *f) : Vector(f->GetVSize())
{ fes = f; extern_lfs = 0; UseDevice(true); }
{ fes = f; extern_lfs = 0; }
/** @brief Create a LinearForm on the FiniteElementSpace @a f, using the
same integrators as the LinearForm @a lf.
@@ -79,7 +79,7 @@ public:
/** The associated FiniteElementSpace can be set later using one of the
methods: Update(FiniteElementSpace *) or
Update(FiniteElementSpace *, Vector &, int). */
LinearForm() { fes = NULL; extern_lfs = 0; UseDevice(true); }
LinearForm() { fes = NULL; extern_lfs = 0; }
/// Copy assignment. Only the data of the base class Vector is copied.
/** It is assumed that this object and @a rhs use FiniteElementSpace%s that
+3 -3
View File
@@ -181,7 +181,7 @@ void VectorDomainLFIntegrator::AssembleRHSElementVect(
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int intorder = 2*el.GetOrder();
int intorder = el.GetOrder() + 1;
ir = &IntRules.Get(el.GetGeomType(), intorder);
}
@@ -240,7 +240,7 @@ void VectorBoundaryLFIntegrator::AssembleRHSElementVect(
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int intorder = 2*el.GetOrder();
int intorder = el.GetOrder() + 1;
ir = &IntRules.Get(el.GetGeomType(), intorder);
}
@@ -275,7 +275,7 @@ void VectorBoundaryLFIntegrator::AssembleRHSElementVect(
const IntegrationRule *ir = IntRule;
if (ir == NULL)
{
int intorder = 2*el.GetOrder();
int intorder = el.GetOrder() + 1;
ir = &IntRules.Get(Tr.FaceGeom, intorder);
}
+36 -36
View File
@@ -35,11 +35,11 @@ typedef double* QLocal2D_t @dim(Q1D, Q1D, NE);
typedef double* DLocal3D_t @dim(D1D, D1D, D1D, NE);
typedef double* QLocal3D_t @dim(Q1D, Q1D, Q1D, NE);
typedef double* Jacobian2D_t @dim(Q2D, 2, 2, NE);
typedef double* Jacobian3D_t @dim(Q3D, 3, 3, NE);
typedef double* Jacobian2D_t @dim(2, 2, Q2D, NE);
typedef double* Jacobian3D_t @dim(3, 3, Q3D, NE);
typedef double* SymmOperator2D_t @dim(Q2D, 3, NE);
typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
typedef double* SymmOperator2D_t @dim(3, Q2D, NE);
typedef double* SymmOperator3D_t @dim(6, Q3D, NE);
@kernel void DiffusionSetup2D(const int NE,
@restrict const double *W,
@@ -48,12 +48,12 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
@restrict SymmOperator2D_t op) {
for (int e = 0; e < NE; ++e; @outer) {
for (int q = 0; q < Q2D; ++q; @inner) {
const double J11 = J(q, 0, 0, e), J12 = J(q, 1, 0, e);
const double J21 = J(q, 0, 1, e), J22 = J(q, 1, 1, e);
const double J11 = J(0, 0, q, e), J12 = J(1, 0, q, e);
const double J21 = J(0, 1, q, e), J22 = J(1, 1, q, e);
const double c_detJ = W[q] * COEFF / ((J11 * J22) - (J21 * J12));
op(q, 0, e) = c_detJ * (J21*J21 + J22*J22); // (1,1)
op(q, 1, e) = -c_detJ * (J21*J11 + J22*J12); // (1,2), (2,1)
op(q, 2, e) = c_detJ * (J11*J11 + J12*J12); // (2,2)
op(0, q, e) = c_detJ * (J21*J21 + J22*J22); // (1,1)
op(1, q, e) = -c_detJ * (J21*J11 + J22*J12); // (1,2), (2,1)
op(2, q, e) = c_detJ * (J11*J11 + J12*J12); // (2,2)
}
}
}
@@ -65,9 +65,9 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
@restrict SymmOperator3D_t op) {
for (int e = 0; e < NE; ++e; @outer) {
for (int q = 0; q < Q3D; ++q; @inner) {
const double J11 = J(q, 0, 0, e), J12 = J(q, 1, 0, e), J13 = J(q, 2, 0, e);
const double J21 = J(q, 0, 1, e), J22 = J(q, 1, 1, e), J23 = J(q, 2, 1, e);
const double J31 = J(q, 0, 2, e), J32 = J(q, 1, 2, e), J33 = J(q, 2, 2, e);
const double J11 = J(0, 0, q, e), J12 = J(1, 0, q, e), J13 = J(2, 0, q, e);
const double J21 = J(0, 1, q, e), J22 = J(1, 1, q, e), J23 = J(2, 1, q, e);
const double J31 = J(0, 2, q, e), J32 = J(1, 2, q, e), J33 = J(2, 2, q, e);
const double detJ = ((J11 * J22 * J33) + (J12 * J23 * J31) + (J13 * J21 * J32) -
(J13 * J22 * J31) - (J12 * J21 * J33) - (J11 * J23 * J32));
@@ -88,12 +88,12 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
const double A33 = (J11 * J22) - (J12 * J21);
// adj(J)^Tadj(J)
op(q, 0, e) = c_detJ * (A11*A11 + A21*A21 + A31*A31); // (1,1)
op(q, 1, e) = c_detJ * (A11*A12 + A21*A22 + A31*A32); // (1,2), (2,1)
op(q, 2, e) = c_detJ * (A11*A13 + A21*A23 + A31*A33); // (1,3), (3,1)
op(q, 3, e) = c_detJ * (A12*A12 + A22*A22 + A32*A32); // (2,2)
op(q, 4, e) = c_detJ * (A12*A13 + A22*A23 + A32*A33); // (2,3), (3,2)
op(q, 5, e) = c_detJ * (A13*A13 + A23*A23 + A33*A33); // (3,3)
op(0, q, e) = c_detJ * (A11*A11 + A21*A21 + A31*A31); // (1,1)
op(1, q, e) = c_detJ * (A11*A12 + A21*A22 + A31*A32); // (1,2), (2,1)
op(2, q, e) = c_detJ * (A11*A13 + A21*A23 + A31*A33); // (1,3), (3,1)
op(3, q, e) = c_detJ * (A12*A12 + A22*A22 + A32*A32); // (2,2)
op(4, q, e) = c_detJ * (A12*A13 + A22*A23 + A32*A33); // (2,3), (3,2)
op(5, q, e) = c_detJ * (A13*A13 + A23*A23 + A33*A33); // (3,3)
}
}
}
@@ -146,9 +146,9 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
for (int qy = 0; qy < Q1D; ++qy) {
for (int qx = 0; qx < Q1D; ++qx) {
const int q = QUAD_2D_ID(qx, qy);
const double O11 = op(q, 0, e);
const double O12 = op(q, 1, e);
const double O22 = op(q, 2, e);
const double O11 = op(0, q, e);
const double O12 = op(1, q, e);
const double O22 = op(2, q, e);
const double gradX = grad[qy][qx][0];
const double gradY = grad[qy][qx][1];
@@ -255,9 +255,9 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
}
const int q = QUAD_2D_ID(qx, qy);
const double O11 = op(q, 0, e);
const double O12 = op(q, 1, e);
const double O22 = op(q, 2, e);
const double O11 = op(0, q, e);
const double O12 = op(1, q, e);
const double O22 = op(2, q, e);
s_grad(0, qx, qy) = (O11 * gradX) + (O12 * gradY);
s_grad(1, qx, qy) = (O12 * gradX) + (O22 * gradY);
@@ -382,12 +382,12 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
for (int qy = 0; qy < Q1D; ++qy) {
for (int qx = 0; qx < Q1D; ++qx) {
const int q = QUAD_3D_ID(qx, qy, qz);
const double O11 = op(q, 0, e);
const double O12 = op(q, 1, e);
const double O13 = op(q, 2, e);
const double O22 = op(q, 3, e);
const double O23 = op(q, 4, e);
const double O33 = op(q, 5, e);
const double O11 = op(0, q, e);
const double O12 = op(1, q, e);
const double O13 = op(2, q, e);
const double O22 = op(3, q, e);
const double O23 = op(4, q, e);
const double O33 = op(5, q, e);
const double gradX = grad[qz][qy][qx][0];
const double gradY = grad[qz][qy][qx][1];
@@ -557,12 +557,12 @@ typedef double* SymmOperator3D_t @dim(Q3D, 6, NE);
}
const int q = QUAD_3D_ID(qx, qy, qz);
const double O11 = op(q, 0, e);
const double O12 = op(q, 1, e);
const double O13 = op(q, 2, e);
const double O22 = op(q, 3, e);
const double O23 = op(q, 4, e);
const double O33 = op(q, 5, e);
const double O11 = op(0, q, e);
const double O12 = op(1, q, e);
const double O13 = op(2, q, e);
const double O22 = op(3, q, e);
const double O23 = op(4, q, e);
const double O33 = op(5, q, e);
const double qDxyz = (O11 * Dxyz) + (O12 * xDyz) + (O13 * xyDz);
const double qxDyz = (O12 * Dxyz) + (O22 * xDyz) + (O23 * xyDz);
+1 -8
View File
@@ -203,14 +203,7 @@ void ParBilinearForm::AssembleSharedFaces(int skip_zeros)
vdofs1.Copy(vdofs_all);
for (int j = 0; j < vdofs2.Size(); j++)
{
if (vdofs2[j] >= 0)
{
vdofs2[j] += height;
}
else
{
vdofs2[j] -= height;
}
vdofs2[j] += height;
}
vdofs_all.Append(vdofs2);
for (int k = 0; k < fbfi.Size(); k++)
+80 -416
View File
@@ -14,7 +14,6 @@
#ifdef MFEM_USE_MPI
#include "pfespace.hpp"
#include "../general/forall.hpp"
#include "../general/sort_pairs.hpp"
#include "../mesh/mesh_headers.hpp"
#include "../general/binaryio.hpp"
@@ -98,8 +97,6 @@ void ParFiniteElementSpace::ParInit(ParMesh *pm)
gcomm = NULL;
gfdofs = NULL;
P = NULL;
Pconf = NULL;
R = NULL;
@@ -150,37 +147,20 @@ void ParFiniteElementSpace::Construct()
// cut space.
ConstructTrueDofs();
ngedofs = ngfdofs = 0;
gfdofs = NULL;
// calculate number of ghost DOFs
ngvdofs = pncmesh->GetNGhostVertices()
* fec->DofForGeometry(Geometry::POINT);
ngedofs = ngfdofs = 0;
if (pmesh->Dimension() > 1)
{
ngedofs = pncmesh->GetNGhostEdges()
* fec->DofForGeometry(Geometry::SEGMENT);
}
if (pmesh->Dimension() > 2)
{
if (fdofs != NULL) // have mixed faces
{
gfdofs = new int[pncmesh->GetNGhostFaces()+1];
gfdofs[0] = 0;
for (int i = 0; i < pncmesh->GetNGhostFaces(); i++)
{
int ghost = pncmesh->GetNFaces() + i;
ngfdofs += fec->DofForGeometry(pncmesh->GetFaceGeometry(ghost));
gfdofs[i+1] = ngfdofs;
}
}
else
{
ngfdofs = pncmesh->GetNGhostFaces()
* fec->DofForGeometry(pncmesh->GetFaceGeometry(0));
}
ngfdofs = pncmesh->GetNGhostFaces()
* fec->DofForGeometry(pncmesh->GetGhostFaceGeometry(0));
}
// total number of ghost DOFs. Ghost DOFs start at index 'ndofs', i.e.,
@@ -633,15 +613,15 @@ void ParFiniteElementSpace::Build_Dof_TrueDof_Matrix() const // matrix P
int ldof = GetVSize();
int ltdof = TrueVSize();
HYPRE_Int *i_diag = new HYPRE_Int[ldof+1];
HYPRE_Int *j_diag = new HYPRE_Int[ltdof];
HYPRE_Int *i_diag = mfem::New<HYPRE_Int>(ldof+1);
HYPRE_Int *j_diag = mfem::New<HYPRE_Int>(ltdof);
int diag_counter;
HYPRE_Int *i_offd = new HYPRE_Int[ldof+1];
HYPRE_Int *j_offd = new HYPRE_Int[ldof-ltdof];
HYPRE_Int *i_offd = mfem::New<HYPRE_Int>(ldof+1);
HYPRE_Int *j_offd = mfem::New<HYPRE_Int>(ldof-ltdof);
int offd_counter;
HYPRE_Int *cmap = new HYPRE_Int[ldof-ltdof];
HYPRE_Int *cmap = mfem::New<HYPRE_Int>(ldof-ltdof);
HYPRE_Int *col_starts = GetTrueDofOffsets();
HYPRE_Int *row_starts = GetDofOffsets();
@@ -767,14 +747,12 @@ void ParFiniteElementSpace::GetEssentialTrueDofs(const Array<int>
// Verify that in boolean arithmetic: P^T ess_dofs = R ess_dofs.
Array<int> true_ess_dofs2(true_ess_dofs.Size());
HypreParMatrix *Pt = Dof_TrueDof_Matrix()->Transpose();
const int *ess_dofs_data = ess_dofs.HostRead();
Pt->BooleanMult(1, ess_dofs_data, 0, true_ess_dofs2);
Pt->BooleanMult(1, ess_dofs, 0, true_ess_dofs2);
delete Pt;
int counter = 0;
const int *ted = true_ess_dofs.HostRead();
for (int i = 0; i < true_ess_dofs.Size(); i++)
{
if (bool(ted[i]) != bool(true_ess_dofs2[i])) { counter++; }
if (bool(true_ess_dofs[i]) != bool(true_ess_dofs2[i])) { counter++; }
}
MFEM_VERIFY(counter == 0, "internal MFEM error: counter = " << counter);
#endif
@@ -876,20 +854,7 @@ const Operator *ParFiniteElementSpace::GetProlongationMatrix() const
{
if (Conforming())
{
if (!Pconf)
{
if (!Device::Allows(Backend::DEVICE_MASK))
{
Pconf = new ConformingProlongationOperator(*this);
}
else
{
if (NRanks > 1)
{
Pconf = new DeviceConformingProlongationOperator(*this);
}
}
}
if (!Pconf) { Pconf = new ConformingProlongationOperator(*this); }
return Pconf;
}
else
@@ -937,15 +902,11 @@ void ParFiniteElementSpace::ExchangeFaceNbrData()
{
GetElementVDofs(my_elems[i], ldofs);
for (int j = 0; j < ldofs.Size(); j++)
{
int ldof = (ldofs[j] >= 0 ? ldofs[j] : -1-ldofs[j]);
if (ldof_marker[ldof] != fn)
if (ldof_marker[ldofs[j]] != fn)
{
ldof_marker[ldof] = fn;
ldof_marker[ldofs[j]] = fn;
send_face_nbr_ldof.AddAColumnInRow(fn);
}
}
send_nbr_elem_dof.AddColumnsInRow(send_el_off[fn] + i, ldofs.Size());
}
@@ -999,11 +960,9 @@ void ParFiniteElementSpace::ExchangeFaceNbrData()
GetElementVDofs(my_elems[i], ldofs);
for (int j = 0; j < ldofs.Size(); j++)
{
int ldof = (ldofs[j] >= 0 ? ldofs[j] : -1-ldofs[j]);
if (ldof_marker[ldof] != fn)
if (ldof_marker[ldofs[j]] != fn)
{
ldof_marker[ldof] = fn;
ldof_marker[ldofs[j]] = fn;
send_face_nbr_ldof.AddConnection(fn, ldofs[j]);
}
}
@@ -1024,14 +983,12 @@ void ParFiniteElementSpace::ExchangeFaceNbrData()
for (int i = 0; i < num_ldofs; i++)
{
int ldof = (ldofs[i] >= 0 ? ldofs[i] : -1-ldofs[i]);
ldof_marker[ldof] = i;
ldof_marker[ldofs[i]] = i;
}
for ( ; j < j_end; j++)
{
int ldof = (send_J[j] >= 0 ? send_J[j] : -1-send_J[j]);
send_J[j] = (send_J[j] >= 0 ? ldof_marker[ldof] : -1-ldof_marker[ldof]);
send_J[j] = ldof_marker[send_J[j]];
}
}
@@ -1066,14 +1023,7 @@ void ParFiniteElementSpace::ExchangeFaceNbrData()
for ( ; j < j_end; j++)
{
if (recv_J[j] >= 0)
{
recv_J[j] += shift;
}
else
{
recv_J[j] -= shift;
}
recv_J[j] += shift;
}
}
@@ -1122,15 +1072,8 @@ void ParFiniteElementSpace::ExchangeFaceNbrData()
for (int fn = 0, j = 0; fn < num_face_nbrs; fn++)
{
for (int j_end = face_nbr_ldof.GetI()[fn+1]; j < j_end; j++)
{
int ldof = face_nbr_ldof.GetJ()[j];
if (ldof < 0)
{
ldof = -1-ldof;
}
face_nbr_glob_dof_map[j] = dof_face_nbr_offsets[fn] + ldof;
}
face_nbr_glob_dof_map[j] =
dof_face_nbr_offsets[fn] + face_nbr_ldof.GetJ()[j];
}
MPI_Waitall(num_face_nbrs, send_requests, statuses);
@@ -1343,18 +1286,20 @@ void ParFiniteElementSpace::GetGhostEdgeDofs(const MeshId &edge_id,
void ParFiniteElementSpace::GetGhostFaceDofs(const MeshId &face_id,
Array<int> &dofs) const
{
int nfv, V[4], E[4], Eo[4];
nfv = pmesh->pncmesh->GetFaceVerticesEdges(face_id, V, E, Eo);
const int ghost_face_index = face_id.index - pncmesh->GetNFaces();
MFEM_ASSERT(pncmesh->GetGhostFaceGeometry(ghost_face_index)
== Geometry::SQUARE, "");
int nv = fec->DofForGeometry(Geometry::POINT);
int ne = fec->DofForGeometry(Geometry::SEGMENT);
int nf = fec->DofForGeometry((nfv == 3) ?
Geometry::TRIANGLE : Geometry::SQUARE);
int nf = fec->DofForGeometry(Geometry::SQUARE);
dofs.SetSize(4*nv + 4*ne + nf);
dofs.SetSize(nfv*(nv + ne) + nf);
int V[4], E[4], Eo[4];
pmesh->pncmesh->GetFaceVerticesEdges(face_id, V, E, Eo);
int offset = 0;
for (int i = 0; i < nfv; i++)
for (int i = 0; i < 4; i++)
{
int ghost = pncmesh->GetNVertices();
int first = (V[i] < ghost) ? V[i]*nv : (ndofs + (V[i] - ghost)*nv);
@@ -1364,7 +1309,7 @@ void ParFiniteElementSpace::GetGhostFaceDofs(const MeshId &face_id,
}
}
for (int i = 0; i < nfv; i++)
for (int i = 0; i < 4; i++)
{
int ghost = pncmesh->GetNEdges();
int first = (E[i] < ghost) ? nvdofs + E[i]*ne
@@ -1377,10 +1322,8 @@ void ParFiniteElementSpace::GetGhostFaceDofs(const MeshId &face_id,
}
}
const int ghost_face_index = face_id.index - pncmesh->GetNFaces();
int first = ndofs + ngvdofs + ngedofs;
first += gfdofs ? gfdofs[ghost_face_index] : nf*ghost_face_index;
// Assuming all ghost faces have the same number of dofs:
int first = ndofs + ngvdofs + ngedofs + ghost_face_index*nf;
for (int j = 0; j < nf; j++)
{
dofs[offset++] = first + j;
@@ -1422,19 +1365,12 @@ void ParFiniteElementSpace::GetBareDofs(int entity, int index,
break;
default:
ned = fec->DofForGeometry(pncmesh->GetFaceGeometry(index));
MFEM_ASSERT(!pmesh->HasGeometry(Geometry::TRIANGLE), "");
ned = fec->DofForGeometry(Geometry::SQUARE);
ghost = pncmesh->GetNFaces();
if (index < ghost) // regular face
{
first = nvdofs + nedofs + (fdofs ? fdofs[index] : index*ned);
}
else // ghost face
{
index -= ghost;
first = ndofs + ngvdofs + ngedofs +
(gfdofs ? gfdofs[index] : index*ned);
}
first = (index < ghost)
? nvdofs + nedofs + index*ned // regular face
: ndofs + ngvdofs + ngedofs + (index - ghost)*ned; // ghost
break;
}
@@ -1470,30 +1406,16 @@ int ParFiniteElementSpace::PackDof(int entity, int index, int edof) const
: ndofs + ngvdofs + (index - ghost)*ned + edof; // ghost edge
default:
MFEM_ASSERT(!pmesh->HasGeometry(Geometry::TRIANGLE), "");
ghost = pncmesh->GetNFaces();
ned = fec->DofForGeometry(pncmesh->GetFaceGeometry(index));
ned = fec->DofForGeometry(Geometry::SQUARE);
if (index < ghost) // regular face
{
return nvdofs + nedofs + (fdofs ? fdofs[index] : index*ned) + edof;
}
else // ghost face
{
index -= ghost;
return ndofs + ngvdofs + ngedofs +
(gfdofs ? gfdofs[index] : index*ned) + edof;
}
return (index < ghost)
? nvdofs + nedofs + index*ned + edof // regular face
: ndofs + ngvdofs + ngedofs + (index - ghost)*ned + edof; //ghost
}
}
static int bisect(int* array, int size, int value)
{
int* end = array + size;
int* pos = std::upper_bound(array, end, value);
MFEM_VERIFY(pos != end, "value not found");
return pos - array;
}
/** Dissect a DOF number to obtain the entity type (0=vertex, 1=edge, 2=face),
* entity index and the DOF number within the entity.
*/
@@ -1519,17 +1441,9 @@ void ParFiniteElementSpace::UnpackDof(int dof,
dof -= nedofs;
if (dof < nfdofs) // regular face
{
if (fdofs) // have mixed faces
{
index = bisect(fdofs+1, mesh->GetNFaces(), dof);
edof = dof - fdofs[index];
}
else // uniform faces
{
int nf = fec->DofForGeometry(pncmesh->GetFaceGeometry(0));
index = dof / nf, edof = dof % nf;
}
entity = 2;
MFEM_ASSERT(!pmesh->HasGeometry(Geometry::TRIANGLE), "");
int nf = fec->DofForGeometry(Geometry::SQUARE);
entity = 2, index = dof / nf, edof = dof % nf;
return;
}
MFEM_ABORT("Cannot unpack internal DOF");
@@ -1553,17 +1467,8 @@ void ParFiniteElementSpace::UnpackDof(int dof,
dof -= ngedofs;
if (dof < ngfdofs) // ghost face
{
if (gfdofs) // have mixed faces
{
index = bisect(gfdofs+1, pncmesh->GetNGhostFaces(), dof);
edof = dof - gfdofs[index];
}
else // uniform faces
{
int nf = fec->DofForGeometry(pncmesh->GetFaceGeometry(0));
index = pncmesh->GetNFaces() + dof / nf, edof = dof % nf;
}
entity = 2;
int nf = fec->DofForGeometry(pncmesh->GetGhostFaceGeometry(0));
entity = 2, index = pncmesh->GetNFaces() + dof / nf, edof = dof % nf;
return;
}
MFEM_ABORT("Out of range DOF.");
@@ -1746,7 +1651,7 @@ void NeighborRowMessage::Encode(int rank)
mfem::out << "Rank " << pncmesh->MyRank << " sending to " << rank
<< ": ent " << ri.entity << ", index " << ri.index
<< ", edof " << ri.edof << " (id " << id.element << "/"
<< int(id.local) << ")" << std::endl;
<< id.local << ")" << std::endl;
#endif
// handle orientation and sign change
@@ -1789,6 +1694,8 @@ void NeighborRowMessage::Decode(int rank)
rows.clear();
rows.reserve(nrows);
Geometry::Type fgeom = pncmesh->GetFaceGeometry();
// read rows
for (int ent = 0, gi = 0; ent < 3; ent++)
{
@@ -1807,9 +1714,8 @@ void NeighborRowMessage::Decode(int rank)
}
else if (ent == 2)
{
Geometry::Type geom = pncmesh->GetFaceGeometry(id.index);
int fo = pncmesh->GetFaceOrientation(id.index);
ind = fec->DofOrderForOrientation(geom, fo);
ind = fec->DofOrderForOrientation(fgeom, fo);
}
double s = 1.0;
@@ -1898,7 +1804,7 @@ void ParFiniteElementSpace
for (int i = 0; i < dof_group.Size(); i++)
{
os << i << ": ";
if (i < (nvdofs + nedofs + nfdofs) || i >= ndofs)
if (i < (nvdofs + nedofs + nfdofs) || i > ndofs)
{
int ent, idx, edof;
UnpackDof(i, ent, idx, edof);
@@ -1980,7 +1886,15 @@ int ParFiniteElementSpace
if (!list.masters.size()) { continue; }
IsoparametricTransformation T;
DenseMatrix I;
if (entity > 1) { T.SetFE(&QuadrilateralFE); }
else { T.SetFE(&SegmentFE); }
Geometry::Type geom = (entity > 1) ?
Geometry::SQUARE : Geometry::SEGMENT;
const FiniteElement* fe = fec->FiniteElementForGeometry(geom);
if (!fe) { continue; }
DenseMatrix I(fe->GetDof());
// process masters that we own or that affect our edges/faces
for (unsigned mi = 0; mi < list.masters.size(); mi++)
@@ -1994,17 +1908,6 @@ int ParFiniteElementSpace
if (!master_dofs.Size()) { continue; }
const FiniteElement* fe = fec->FiniteElementForGeometry(mf.Geom());
if (!fe) { continue; }
switch (mf.Geom())
{
case Geometry::SQUARE: T.SetFE(&QuadrilateralFE); break;
case Geometry::TRIANGLE: T.SetFE(&TriangleFE); break;
case Geometry::SEGMENT: T.SetFE(&SegmentFE); break;
default: MFEM_ABORT("unsupported geometry");
}
// constrain slaves that exist in our mesh
for (int si = mf.slaves_begin; si < mf.slaves_end; si++)
{
@@ -2055,8 +1958,6 @@ int ParFiniteElementSpace
(l == 1) ? (const MeshId&) list.masters[i]
/* */ : (const MeshId&) list.slaves[i];
if (id.index < 0) { continue; }
GroupId owner = pncmesh->GetEntityOwnerId(entity, id.index);
GroupId group = pncmesh->GetEntityGroupId(entity, id.index);
@@ -2348,7 +2249,7 @@ HypreParMatrix* ParFiniteElementSpace
}
// create offd column mapping
HYPRE_Int *cmap = new HYPRE_Int[col_map.size()];
HYPRE_Int *cmap = mfem::New<HYPRE_Int>(col_map.size());
int offd_col = 0;
for (std::map<HYPRE_Int, int>::iterator
it = col_map.begin(); it != col_map.end(); ++it)
@@ -2357,14 +2258,14 @@ HypreParMatrix* ParFiniteElementSpace
it->second = offd_col++;
}
HYPRE_Int *I_diag = new HYPRE_Int[vdim*local_rows + 1];
HYPRE_Int *I_offd = new HYPRE_Int[vdim*local_rows + 1];
HYPRE_Int *I_diag = mfem::New<HYPRE_Int>(vdim*local_rows + 1);
HYPRE_Int *I_offd = mfem::New<HYPRE_Int>(vdim*local_rows + 1);
HYPRE_Int *J_diag = new HYPRE_Int[nnz_diag];
HYPRE_Int *J_offd = new HYPRE_Int[nnz_offd];
HYPRE_Int *J_diag = mfem::New<HYPRE_Int>(nnz_diag);
HYPRE_Int *J_offd = mfem::New<HYPRE_Int>(nnz_offd);
double *A_diag = new double[nnz_diag];
double *A_offd = new double[nnz_offd];
double *A_diag = mfem::New<double>(nnz_diag);
double *A_offd = mfem::New<double>(nnz_offd);
int vdim1 = bynodes ? vdim : 1;
int vdim2 = bynodes ? 1 : vdim;
@@ -2415,7 +2316,7 @@ HypreParMatrix* ParFiniteElementSpace
static HYPRE_Int* make_i_array(int nrows)
{
HYPRE_Int *I = new HYPRE_Int[nrows+1];
HYPRE_Int *I = mfem::New<HYPRE_Int>(nrows+1);
for (int i = 0; i <= nrows; i++) { I[i] = -1; }
return I;
}
@@ -2427,7 +2328,7 @@ static HYPRE_Int* make_j_array(HYPRE_Int* I, int nrows)
{
if (I[i] >= 0) { nnz++; }
}
HYPRE_Int *J = new HYPRE_Int[nnz];
HYPRE_Int *J = mfem::New<HYPRE_Int>(nnz);
I[nrows] = -1;
for (int i = 0, k = 0; i <= nrows; i++)
@@ -2526,7 +2427,7 @@ ParFiniteElementSpace::RebalanceMatrix(int old_ndofs,
}
SortPairs<HYPRE_Int, int>(cmap_offd, offd_cols);
HYPRE_Int* cmap = new HYPRE_Int[offd_cols];
HYPRE_Int* cmap = mfem::New<HYPRE_Int>(offd_cols);
for (int i = 0; i < offd_cols; i++)
{
cmap[i] = cmap_offd[i].one;
@@ -2553,9 +2454,6 @@ ParFiniteElementSpace::ParallelDerefinementMatrix(int old_ndofs,
int nrk = HYPRE_AssumedPartitionCheck() ? 2 : NRanks;
MFEM_VERIFY(Nonconforming(), "Not implemented for conforming meshes.");
MFEM_VERIFY(pmesh->GetNumGeometries(pmesh->Dimension()) == 1,
"Not implemented for mixed meshes.");
MFEM_VERIFY(old_dof_offsets[nrk], "Missing previous (finer) space.");
MFEM_VERIFY(dof_offsets[nrk] <= old_dof_offsets[nrk],
"Previous space is not finer.");
@@ -2569,7 +2467,7 @@ ParFiniteElementSpace::ParallelDerefinementMatrix(int old_ndofs,
Vector row;
ParNCMesh* pncmesh = pmesh->pncmesh;
Geometry::Type geom = pncmesh->GetElementGeometry(0); // TODO mixed meshes
Geometry::Type geom = pncmesh->GetElementGeometry();
int ldof = fec->FiniteElementForGeometry(geom)->GetDof();
const CoarseFineTransformations &dtrans = pncmesh->GetDerefinementTransforms();
@@ -2725,7 +2623,7 @@ ParFiniteElementSpace::ParallelDerefinementMatrix(int old_ndofs,
offd->SetWidth(col_map.size());
// create offd column mapping for use by hypre
HYPRE_Int *cmap = new HYPRE_Int[offd->Width()];
HYPRE_Int *cmap = mfem::New<HYPRE_Int>(offd->Width());
for (std::map<HYPRE_Int, int>::iterator
it = col_map.begin(); it != col_map.end(); ++it)
{
@@ -2793,8 +2691,6 @@ void ParFiniteElementSpace::Destroy()
delete Pconf; Pconf = NULL;
delete R; R = NULL;
delete [] gfdofs; gfdofs = NULL;
delete gcomm; gcomm = NULL;
num_face_nbr_dofs = -1;
@@ -2967,8 +2863,9 @@ void ConformingProlongationOperator::Mult(const Vector &x, Vector &y) const
MFEM_ASSERT(x.Size() == Width(), "");
MFEM_ASSERT(y.Size() == Height(), "");
const double *xdata = x.HostRead();
double *ydata = y.HostWrite();
const double *xdata = x.GetData();
double *ydata = y.GetData();
x.Pull();
const int m = external_ldofs.Size();
const int in_layout = 2; // 2 - input is ltdofs array
@@ -2985,6 +2882,7 @@ void ConformingProlongationOperator::Mult(const Vector &x, Vector &y) const
const int out_layout = 0; // 0 - output is ldofs array
gc.BcastEnd(ydata, out_layout);
y.Push();
}
void ConformingProlongationOperator::MultTranspose(
@@ -2993,8 +2891,9 @@ void ConformingProlongationOperator::MultTranspose(
MFEM_ASSERT(x.Size() == Height(), "");
MFEM_ASSERT(y.Size() == Width(), "");
const double *xdata = x.HostRead();
double *ydata = y.HostWrite();
const double *xdata = x.GetData();
double *ydata = y.GetData();
x.Pull();
const int m = external_ldofs.Size();
gc.ReduceBegin(xdata);
@@ -3010,242 +2909,7 @@ void ConformingProlongationOperator::MultTranspose(
const int out_layout = 2; // 2 - output is an array on all ltdofs
gc.ReduceEnd<double>(ydata, out_layout, GroupCommunicator::Sum);
}
DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
const ParFiniteElementSpace &pfes) :
ConformingProlongationOperator(pfes),
mpi_gpu_aware(Device::GetGPUAwareMPI())
{
MFEM_ASSERT(pfes.Conforming(), "internal error");
const SparseMatrix *R = pfes.GetRestrictionMatrix();
MFEM_ASSERT(R->Finalized(), "");
const int tdofs = R->Height();
MFEM_ASSERT(tdofs == pfes.GetTrueVSize(), "");
MFEM_ASSERT(tdofs == R->GetI()[tdofs], "");
ltdof_ldof = Array<int>(const_cast<int*>(R->GetJ()), tdofs);
ltdof_ldof.UseDevice();
{
Table nbr_ltdof;
gc.GetNeighborLTDofTable(nbr_ltdof);
const int nb_connections = nbr_ltdof.Size_of_connections();
shr_ltdof.SetSize(nb_connections);
shr_ltdof.CopyFrom(nbr_ltdof.GetJ());
shr_buf.SetSize(nb_connections);
shr_buf.UseDevice(true);
shr_buf_offsets = nbr_ltdof.GetI();
{
Array<int> shr_ltdof(nbr_ltdof.GetJ(), nb_connections);
Array<int> unique_ltdof(shr_ltdof);
unique_ltdof.Sort();
unique_ltdof.Unique();
// Note: the next loop modifies the J array of nbr_ltdof
for (int i = 0; i < shr_ltdof.Size(); i++)
{
shr_ltdof[i] = unique_ltdof.FindSorted(shr_ltdof[i]);
MFEM_ASSERT(shr_ltdof[i] != -1, "internal error");
}
Table unique_shr;
Transpose(shr_ltdof, unique_shr, unique_ltdof.Size());
unq_ltdof = Array<int>(unique_ltdof, unique_ltdof.Size());
unq_shr_i = Array<int>(unique_shr.GetI(), unique_shr.Size()+1);
unq_shr_j = Array<int>(unique_shr.GetJ(), unique_shr.Size_of_connections());
}
delete [] nbr_ltdof.GetJ();
nbr_ltdof.LoseData();
}
{
Table nbr_ldof;
gc.GetNeighborLDofTable(nbr_ldof);
const int nb_connections = nbr_ldof.Size_of_connections();
ext_ldof.SetSize(nb_connections);
ext_ldof.CopyFrom(nbr_ldof.GetJ());
ext_buf.SetSize(nb_connections);
ext_buf.UseDevice(true);
ext_buf_offsets = nbr_ldof.GetI();
delete [] nbr_ldof.GetJ();
nbr_ldof.LoseData();
}
const GroupTopology &gtopo = gc.GetGroupTopology();
int req_counter = 0;
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int send_offset = shr_buf_offsets[nbr];
const int send_size = shr_buf_offsets[nbr+1] - send_offset;
if (send_size > 0) { req_counter++; }
const int recv_offset = ext_buf_offsets[nbr];
const int recv_size = ext_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0) { req_counter++; }
}
requests = new MPI_Request[req_counter];
}
static void ExtractSubVector(const int N,
const Array<int> &indices,
const Vector &in, Vector &out)
{
auto y = out.Write();
const auto x = in.Read();
const auto I = indices.Read();
MFEM_FORALL(i, N, y[i] = x[I[i]];); // indices can be repeated
}
void DeviceConformingProlongationOperator::BcastBeginCopy(
const Vector &x) const
{
// shr_buf[i] = src[shr_ltdof[i]]
if (shr_ltdof.Size() == 0) { return; }
ExtractSubVector(shr_ltdof.Size(), shr_ltdof, x, shr_buf);
// If the above kernel is executed asynchronously, we should wait for it to
// complete
if (mpi_gpu_aware) { Device::Synchronize(); }
}
static void SetSubVector(const int N,
const Array<int> &indices,
const Vector &in, Vector &out)
{
auto y = out.Write();
const auto x = in.Read();
const auto I = indices.Read();
MFEM_FORALL(i, N, y[I[i]] = x[i];);
}
void DeviceConformingProlongationOperator::BcastLocalCopy(
const Vector &x, Vector &y) const
{
// dst[ltdof_ldof[i]] = src[i]
if (ltdof_ldof.Size() == 0) { return; }
SetSubVector(ltdof_ldof.Size(), ltdof_ldof, x, y);
}
void DeviceConformingProlongationOperator::BcastEndCopy(
Vector &y) const
{
// dst[ext_ldof[i]] = ext_buf[i]
if (ext_ldof.Size() == 0) { return; }
SetSubVector(ext_ldof.Size(), ext_ldof, ext_buf, y);
}
void DeviceConformingProlongationOperator::Mult(const Vector &x,
Vector &y) const
{
const GroupTopology &gtopo = gc.GetGroupTopology();
BcastBeginCopy(x); // copy to 'shr_buf'
int req_counter = 0;
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int send_offset = shr_buf_offsets[nbr];
const int send_size = shr_buf_offsets[nbr+1] - send_offset;
if (send_size > 0)
{
auto send_buf = mpi_gpu_aware ? shr_buf.Read() : shr_buf.HostRead();
MPI_Isend(send_buf + send_offset, send_size, MPI_DOUBLE,
gtopo.GetNeighborRank(nbr), 41822,
gtopo.GetComm(), &requests[req_counter++]);
}
const int recv_offset = ext_buf_offsets[nbr];
const int recv_size = ext_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
auto recv_buf = mpi_gpu_aware ? ext_buf.Write() : ext_buf.HostWrite();
MPI_Irecv(recv_buf + recv_offset, recv_size, MPI_DOUBLE,
gtopo.GetNeighborRank(nbr), 41822,
gtopo.GetComm(), &requests[req_counter++]);
}
}
BcastLocalCopy(x, y);
MPI_Waitall(req_counter, requests, MPI_STATUSES_IGNORE);
BcastEndCopy(y); // copy from 'ext_buf'
}
DeviceConformingProlongationOperator::~DeviceConformingProlongationOperator()
{
delete [] requests;
delete [] ext_buf_offsets;
delete [] shr_buf_offsets;
}
void DeviceConformingProlongationOperator::ReduceBeginCopy(
const Vector &x) const
{
// ext_buf[i] = src[ext_ldof[i]]
if (ext_ldof.Size() == 0) { return; }
ExtractSubVector(ext_ldof.Size(), ext_ldof, x, ext_buf);
// If the above kernel is executed asynchronously, we should wait for it to
// complete
if (mpi_gpu_aware) { Device::Synchronize(); }
}
void DeviceConformingProlongationOperator::ReduceLocalCopy(
const Vector &x, Vector &y) const
{
// dst[i] = src[ltdof_ldof[i]]
if (ltdof_ldof.Size() == 0) { return; }
ExtractSubVector(ltdof_ldof.Size(), ltdof_ldof, x, y);
}
static void AddSubVector(const int num_unique_dst_indices,
const Array<int> &unique_dst_indices,
const Array<int> &unique_to_src_offsets,
const Array<int> &unique_to_src_indices,
const Vector &src,
Vector &dst)
{
auto y = dst.Write();
const auto x = src.Read();
const auto DST_I = unique_dst_indices.Read();
const auto SRC_O = unique_to_src_offsets.Read();
const auto SRC_I = unique_to_src_indices.Read();
MFEM_FORALL(i, num_unique_dst_indices,
{
const int dst_idx = DST_I[i];
double sum = y[dst_idx];
const int end = SRC_O[i+1];
for (int j = SRC_O[i]; j != end; ++j) { sum += x[SRC_I[j]]; }
y[dst_idx] = sum;
});
}
void DeviceConformingProlongationOperator::ReduceEndAssemble(Vector &y) const
{
// dst[shr_ltdof[i]] += shr_buf[i]
const int unq_ltdof_size = unq_ltdof.Size();
if (unq_ltdof_size == 0) { return; }
AddSubVector(unq_ltdof_size, unq_ltdof, unq_shr_i, unq_shr_j, shr_buf, y);
}
void DeviceConformingProlongationOperator::MultTranspose(const Vector &x,
Vector &y) const
{
const GroupTopology &gtopo = gc.GetGroupTopology();
ReduceBeginCopy(x); // copy to 'ext_buf'
int req_counter = 0;
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int send_offset = ext_buf_offsets[nbr];
const int send_size = ext_buf_offsets[nbr+1] - send_offset;
if (send_size > 0)
{
auto send_buf = mpi_gpu_aware ? ext_buf.Read() : ext_buf.HostRead();
MPI_Isend(send_buf + send_offset, send_size, MPI_DOUBLE,
gtopo.GetNeighborRank(nbr), 41823,
gtopo.GetComm(), &requests[req_counter++]);
}
const int recv_offset = shr_buf_offsets[nbr];
const int recv_size = shr_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
auto recv_buf = mpi_gpu_aware ? shr_buf.Write() : shr_buf.HostWrite();
MPI_Irecv(recv_buf + recv_offset, recv_size, MPI_DOUBLE,
gtopo.GetNeighborRank(nbr), 41823,
gtopo.GetComm(), &requests[req_counter++]);
}
}
ReduceLocalCopy(x, y);
MPI_Waitall(req_counter, requests, MPI_STATUSES_IGNORE);
ReduceEndAssemble(y); // assemble from 'shr_buf'
y.Push();
}
} // namespace mfem
+1 -48
View File
@@ -46,7 +46,6 @@ private:
/// Number of vertex/edge/face/total ghost DOFs (nonconforming case).
int ngvdofs, ngedofs, ngfdofs, ngdofs;
int* gfdofs;
/// The group of each local dof.
Array<int> ldof_group;
@@ -114,7 +113,7 @@ private:
void GetGhostFaceDofs(const MeshId &face_id, Array<int> &dofs) const;
void GetGhostDofs(int entity, const MeshId &id, Array<int> &dofs) const;
/// Return the dofs associated with the interior of the given mesh entity.
// Return the dofs associated with the interior of the given mesh entity.
void GetBareDofs(int entity, int index, Array<int> &dofs) const;
int PackDof(int entity, int index, int edof) const;
@@ -388,52 +387,6 @@ public:
virtual void MultTranspose(const Vector &x, Vector &y) const;
};
/// Auxiliary device class used by ParFiniteElementSpace.
class DeviceConformingProlongationOperator: public
ConformingProlongationOperator
{
protected:
bool mpi_gpu_aware;
Array<int> shr_ltdof, ext_ldof;
mutable Vector shr_buf, ext_buf;
int *shr_buf_offsets, *ext_buf_offsets;
Array<int> ltdof_ldof, unq_ltdof;
Array<int> unq_shr_i, unq_shr_j;
MPI_Request *requests;
// Kernel: copy ltdofs from 'src' to 'shr_buf' - prepare for send.
// shr_buf[i] = src[shr_ltdof[i]]
void BcastBeginCopy(const Vector &src) const;
// Kernel: copy ltdofs from 'src' to ldofs in 'dst'.
// dst[ltdof_ldof[i]] = src[i]
void BcastLocalCopy(const Vector &src, Vector &dst) const;
// Kernel: copy ext. dofs from 'ext_buf' to 'dst' - after recv.
// dst[ext_ldof[i]] = ext_buf[i]
void BcastEndCopy(Vector &dst) const;
// Kernel: copy ext. dofs from 'src' to 'ext_buf' - prepare for send.
// ext_buf[i] = src[ext_ldof[i]]
void ReduceBeginCopy(const Vector &src) const;
// Kernel: copy owned ldofs from 'src' to ltdofs in 'dst'.
// dst[i] = src[ltdof_ldof[i]]
void ReduceLocalCopy(const Vector &src, Vector &dst) const;
// Kernel: assemble dofs from 'shr_buf' into to 'dst' - after recv.
// dst[shr_ltdof[i]] += shr_buf[i]
void ReduceEndAssemble(Vector &dst) const;
public:
DeviceConformingProlongationOperator(const ParFiniteElementSpace &pfes);
virtual ~DeviceConformingProlongationOperator();
virtual void Mult(const Vector &x, Vector &y) const;
virtual void MultTranspose(const Vector &x, Vector &y) const;
};
}
#endif // MFEM_USE_MPI
+14 -15
View File
@@ -367,10 +367,10 @@ void ParGridFunction::ProjectDiscCoefficient(Coefficient &coeff, AvgType type)
GroupCommunicator &gcomm = pfes->GroupComm();
gcomm.Reduce<int>(zones_per_vdof, GroupCommunicator::Sum);
gcomm.Bcast(zones_per_vdof);
// Accumulate for all vdofs.
gcomm.Reduce<double>(data, GroupCommunicator::Sum);
gcomm.Bcast<double>(data);
// Accumulate for all tdofs.
HypreParVector *tv = this->ParallelAssemble();
this->Distribute(tv);
delete tv;
ComputeMeans(type, zones_per_vdof);
}
@@ -389,10 +389,10 @@ void ParGridFunction::ProjectDiscCoefficient(VectorCoefficient &vcoeff,
GroupCommunicator &gcomm = pfes->GroupComm();
gcomm.Reduce<int>(zones_per_vdof, GroupCommunicator::Sum);
gcomm.Bcast(zones_per_vdof);
// Accumulate for all vdofs.
gcomm.Reduce<double>(data, GroupCommunicator::Sum);
gcomm.Bcast<double>(data);
// Accumulate for all tdofs.
HypreParVector *tv = this->ParallelAssemble();
this->Distribute(tv);
delete tv;
ComputeMeans(type, zones_per_vdof);
}
@@ -425,8 +425,8 @@ void ParGridFunction::ProjectBdrCoefficient(
}
else
{
// TODO: is this the same as the conforming case (after the merge of
// cut-mesh-groups-dev)?
// FIXME: same as the conforming case after 'cut-mesh-groups-dev-*' is
// merged?
ComputeMeans(ARITHMETIC, values_counter);
}
#ifdef MFEM_DEBUG
@@ -469,8 +469,8 @@ void ParGridFunction::ProjectBdrCoefficientTangent(VectorCoefficient &vcoeff,
}
else
{
// TODO: is this the same as the conforming case (after the merge of
// cut-mesh-groups-dev)?
// FIXME: same as the conforming case after 'cut-mesh-groups-dev-*' is
// merged?
ComputeMeans(ARITHMETIC, values_counter);
}
#ifdef MFEM_DEBUG
@@ -487,17 +487,16 @@ void ParGridFunction::ProjectBdrCoefficientTangent(VectorCoefficient &vcoeff,
void ParGridFunction::Save(std::ostream &out) const
{
double *data_ = const_cast<double*>(HostRead());
for (int i = 0; i < size; i++)
{
if (pfes->GetDofSign(i) < 0) { data_[i] = -data_[i]; }
if (pfes->GetDofSign(i) < 0) { data[i] = -data[i]; }
}
GridFunction::Save(out);
for (int i = 0; i < size; i++)
{
if (pfes->GetDofSign(i) < 0) { data_[i] = -data_[i]; }
if (pfes->GetDofSign(i) < 0) { data[i] = -data[i]; }
}
}
+6 -6
View File
@@ -956,13 +956,13 @@ double TMOP_Integrator::GetElementEnergy(const FiniteElement &el,
Tpr->Attribute = T.Attribute;
Tpr->GetPointMat().Transpose(PMatI); // PointMat = PMatI^T
}
// TODO: computing the coefficients 'coeff1' and 'coeff0' in physical
// coordinates means that, generally, the gradient and Hessian of the
// TMOP_Integrator will depend on the derivatives of the coefficients.
// FIXME: computing the coefficients 'coeff1' and 'coeff0' in physical
// coordinates means that, generally, the gradient and Hessian of the
// TMOP_Integrator will depend on the derivatives of the coefficients.
//
// In some cases the coefficients are independent of any movement of
// the physical coordinates (i.e. changes in 'elfun'), e.g. when the
// coefficient is a ConstantCoefficient or a GridFunctionCoefficient.
// In some cases the coefficients are independent of any movement of
// the physical coordinates (i.e. changes in 'elfun'), e.g. when the
// coefficient is a ConstantCoefficient or a GridFunctionCoefficient.
for (int i = 0; i < ir->GetNPoints(); i++)
{
+43 -5
View File
@@ -19,12 +19,54 @@
namespace mfem
{
BaseArray::BaseArray(int asize, int ainc, int elementsize)
{
if (asize > 0)
{
data = mfem::New<char>(asize * elementsize);
size = allocsize = asize;
}
else
{
data = 0;
size = allocsize = 0;
}
inc = ainc;
}
BaseArray::~BaseArray()
{
if (allocsize > 0)
{
mfem::Delete((char*)data);
}
}
void BaseArray::GrowSize(int minsize, int elementsize)
{
void *p;
int nsize = (inc > 0) ? abs(allocsize) + inc : 2 * abs(allocsize);
if (nsize < minsize) { nsize = minsize; }
p = mfem::New<char>(nsize * elementsize);
if (size > 0)
{
mfem::Memcpy(p, data, size * elementsize);
}
if (allocsize > 0)
{
mfem::Delete((char*)data);
}
data = p;
allocsize = nsize;
}
template <class T>
void Array<T>::Print(std::ostream &out, int width) const
{
for (int i = 0; i < size; i++)
{
out << data[i];
out << ((T*)data)[i];
if ( !((i+1) % width) || i+1 == size )
{
out << '\n';
@@ -71,12 +113,10 @@ T Array<T>::Max() const
T max = operator[](0);
for (int i = 1; i < size; i++)
{
if (max < operator[](i))
{
max = operator[](i);
}
}
return max;
}
@@ -88,12 +128,10 @@ T Array<T>::Min() const
T min = operator[](0);
for (int i = 1; i < size; i++)
{
if (operator[](i) < min)
{
min = operator[](i);
}
}
return min;
}
+110 -195
View File
@@ -14,7 +14,6 @@
#include "../config/config.hpp"
#include "mem_manager.hpp"
#include "device.hpp"
#include "error.hpp"
#include "globals.hpp"
@@ -26,6 +25,31 @@
namespace mfem
{
/// Base class for array container.
class BaseArray
{
protected:
/// Pointer to data
void *data;
/// Size of the array
int size;
/// Size of the allocated memory
int allocsize;
/** Increment of allocated memory on overflow,
inc = 0 doubles the array */
int inc;
BaseArray() { }
/// Creates array of asize elements of size elementsize
BaseArray(int asize, int ainc, int elmentsize);
/// Free the allocated memory
~BaseArray();
/** Increases the allocsize of the array to be at least minsize.
The current content of the array is copied to the newly allocated
space. minsize must be > abs(allocsize). */
void GrowSize(int minsize, int elementsize);
};
template <class T>
class Array;
@@ -41,81 +65,70 @@ void Swap(Array<T> &, Array<T> &);
The elements can be accessed by the [] operator, the range is 0 to size-1.
*/
template <class T>
class Array
class Array : public BaseArray
{
protected:
/// Pointer to data
Memory<T> data;
/// Size of the array
int size;
inline void GrowSize(int minsize);
public:
friend void Swap<T>(Array<T> &, Array<T> &);
/// Creates an empty array
inline Array() : size(0) { data.Reset(); }
/// Creates array of asize elements
explicit inline Array(int asize)
: size(asize) { asize > 0 ? data.New(asize) : data.Reset(); }
explicit inline Array(int asize = 0, int ainc = 0)
: BaseArray(asize, ainc, sizeof (T)) { }
/** Creates array using an existing c-array of asize elements;
allocsize is set to -asize to indicate that the data will not
be deleted. */
inline Array(T *_data, int asize)
{ data.Wrap(_data, asize, false); size = asize; }
inline Array(T *_data, int asize, int ainc = 0)
{ data = _data; size = asize; allocsize = -asize; inc = ainc; }
/// Copy constructor: deep copy
/** This method supports source arrays using any MemoryType. */
inline Array(const Array &src);
Array(const Array<T> &src)
: BaseArray(src.size, 0, sizeof(T))
{ mfem::Memcpy(data, src.data, size*sizeof(T)); }
/// Copy constructor (deep copy) from an Array of convertable type
template <typename CT>
inline Array(const Array<CT> &src);
Array(const Array<CT> &src)
: BaseArray(src.Size(), 0, sizeof(T))
{ for (int i = 0; i < size; i++) { (*this)[i] = T(src[i]); } }
/// Destructor
inline ~Array() { data.Delete(); }
inline ~Array() { }
/// Assignment operator: deep copy
Array<T> &operator=(const Array<T> &src) { src.Copy(*this); return *this; }
/// Assignment operator (deep copy) from an Array of convertable type
template <typename CT>
inline Array &operator=(const Array<CT> &src);
Array<T> &operator=(const Array<CT> &src)
{
SetSize(src.Size());
for (int i = 0; i < size; i++) { (*this)[i] = T(src[i]); }
return *this;
}
/// Return the data as 'T *'
inline operator T *() { return data; }
inline operator T *() { return (T *)data; }
/// Return the data as 'const T *'
inline operator const T *() const { return data; }
inline operator const T *() const { return (const T *)data; }
/// Returns the data
inline T *GetData() { return data; }
inline T *GetData() { return (T *)data; }
/// Returns the data
inline const T *GetData() const { return data; }
/// Return a reference to the Memory object used by the Array.
Memory<T> &GetMemory() { return data; }
/// Return a reference to the Memory object used by the Array, const version.
const Memory<T> &GetMemory() const { return data; }
/// Return the device flag of the Memory object used by the Array
bool UseDevice() const { return data.UseDevice(); }
inline const T *GetData() const { return (T *)data; }
/// Return true if the data will be deleted by the array
inline bool OwnsData() const { return data.OwnsHostPtr(); }
inline bool OwnsData() const { return (allocsize > 0); }
/// Changes the ownership of the data
inline void StealData(T **p) { *p = data; data.Reset(); size = 0; }
inline void StealData(T **p)
{ *p = (T*)data; data = 0; size = allocsize = 0; }
/// NULL-ifies the data
inline void LoseData() { data.Reset(); size = 0; }
inline void LoseData() { data = 0; size = allocsize = 0; }
/// Make the Array own the data
void MakeDataOwner() const { data.SetHostPtrOwner(true); }
void MakeDataOwner() { allocsize = abs(allocsize); }
/// Logical size of the array
inline int Size() const { return size; }
@@ -126,18 +139,13 @@ public:
/// Same as SetSize(int) plus initialize new entries with 'initval'
inline void SetSize(int nsize, const T &initval);
/** @brief Resize the array to size @a nsize using MemoryType @a mt. Note
that unlike the other versions of SetSize(), the current content of the
array is not preserved. */
inline void SetSize(int nsize, MemoryType mt);
/** Maximum number of entries the array can store without allocating more
memory. */
inline int Capacity() const { return data.Capacity(); }
inline int Capacity() const { return abs(allocsize); }
/// Ensures that the allocated size is at least the given size.
inline void Reserve(int capacity)
{ if (capacity > Capacity()) { GrowSize(capacity); } }
{ if (capacity > abs(allocsize)) { GrowSize(capacity, sizeof(T)); } }
/// Access element
inline T & operator[](int i);
@@ -180,7 +188,11 @@ public:
inline void DeleteAll();
/// Create a copy of the current array
inline void Copy(Array &copy) const;
inline void Copy(Array &copy) const
{
copy.SetSize(Size());
mfem::Memcpy(copy.GetData(), data, Size()*sizeof(T));
}
/// Make this Array a reference to a pointer
inline void MakeRef(T *, int);
@@ -188,7 +200,7 @@ public:
/// Make this Array a reference to 'master'
inline void MakeRef(const Array &master);
inline void GetSubArray(int offset, int sa_size, Array<T> &sa) const;
inline void GetSubArray(int offset, int sa_size, Array<T> &sa);
/// Prints array to stream with width elements per row
void Print(std::ostream &out = mfem::out, int width = 4) const;
@@ -223,18 +235,18 @@ public:
T Min() const;
/// Sorts the array. This requires operator< to be defined for T.
void Sort() { std::sort((T*)data, data + size); }
void Sort() { std::sort((T*) data, (T*) data + size); }
/// Sorts the array using the supplied comparison function object.
template<class Compare>
void Sort(Compare cmp) { std::sort((T*)data, data + size, cmp); }
void Sort(Compare cmp) { std::sort((T*) data, (T*) data + size, cmp); }
/** Removes duplicities from a sorted array. This requires operator== to be
defined for T. */
void Unique()
{
T* end = std::unique((T*)data, data + size);
SetSize(end - data);
T* end = std::unique((T*) data, (T*) data + size);
SetSize(end - (T*) data);
}
/// return true if the array is sorted.
@@ -254,41 +266,11 @@ public:
template <typename U>
inline void CopyTo(U *dest) { std::copy(begin(), end(), dest); }
template <typename U>
inline void CopyFrom(const U *src)
{ std::memcpy(begin(), src, MemoryUsage()); }
// STL-like begin/end
inline T* begin() { return data; }
inline T* end() { return data + size; }
inline const T* begin() const { return data; }
inline const T* end() const { return data + size; }
inline T* begin() const { return (T*) data; }
inline T* end() const { return (T*) data + size; }
long MemoryUsage() const { return Capacity() * sizeof(T); }
/// Shortcut for mfem::Read(a.GetMemory(), a.Size(), on_dev).
const T *Read(bool on_dev = true) const
{ return mfem::Read(data, size, on_dev); }
/// Shortcut for mfem::Read(a.GetMemory(), a.Size(), false).
const T *HostRead() const
{ return mfem::Read(data, size, false); }
/// Shortcut for mfem::Write(a.GetMemory(), a.Size(), on_dev).
T *Write(bool on_dev = true)
{ return mfem::Write(data, size, on_dev); }
/// Shortcut for mfem::Write(a.GetMemory(), a.Size(), false).
T *HostWrite()
{ return mfem::Write(data, size, false); }
/// Shortcut for mfem::ReadWrite(a.GetMemory(), a.Size(), on_dev).
T *ReadWrite(bool on_dev = true)
{ return mfem::ReadWrite(data, size, on_dev); }
/// Shortcut for mfem::ReadWrite(a.GetMemory(), a.Size(), false).
T *HostReadWrite()
{ return mfem::ReadWrite(data, size, false); }
};
template <class T>
@@ -296,9 +278,7 @@ inline bool operator==(const Array<T> &LHS, const Array<T> &RHS)
{
if ( LHS.Size() != RHS.Size() ) { return false; }
for (int i=0; i<LHS.Size(); i++)
{
if ( LHS[i] != RHS[i] ) { return false; }
}
return true;
}
@@ -433,7 +413,7 @@ class BlockArray
public:
BlockArray(int block_size = 16*1024);
BlockArray(const BlockArray<T> &other); // deep copy
~BlockArray() { Destroy(); }
~BlockArray();
/// Allocate and construct a new item in the array, return its index.
int Append();
@@ -463,9 +443,6 @@ public:
/// Return the current capacity of the BlockArray.
int Capacity() const { return blocks.Size()*(mask+1); }
/// Destroy all items, set size to zero.
void DeleteAll() { Destroy(); blocks.DeleteAll(); size = 0; }
void Swap(BlockArray<T> &other);
long MemoryUsage() const;
@@ -570,8 +547,6 @@ protected:
MFEM_ASSERT(index >= 0 && index < size,
"Out of bounds access: " << index << ", size = " << size);
}
void Destroy();
};
@@ -590,51 +565,17 @@ inline void Swap(Array<T> &a, Array<T> &b)
{
Swap(a.data, b.data);
Swap(a.size, b.size);
}
template <class T>
inline Array<T>::Array(const Array &src)
: size(src.Size())
{
size > 0 ? data.New(size, src.data.GetMemoryType()) : data.Reset();
data.CopyFrom(src.data, size);
data.UseDevice(src.data.UseDevice());
}
template <typename T> template <typename CT>
inline Array<T>::Array(const Array<CT> &src)
: size(src.Size())
{
size > 0 ? data.New(size) : data.Reset();
for (int i = 0; i < size; i++) { (*this)[i] = T(src[i]); }
}
template <class T>
inline void Array<T>::GrowSize(int minsize)
{
const int nsize = std::max(minsize, 2 * data.Capacity());
Memory<T> p(nsize, data.GetMemoryType());
p.CopyFrom(data, size);
p.UseDevice(data.UseDevice());
data.Delete();
data = p;
}
template <typename T> template <typename CT>
inline Array<T> &Array<T>::operator=(const Array<CT> &src)
{
SetSize(src.Size());
for (int i = 0; i < size; i++) { (*this)[i] = T(src[i]); }
return *this;
Swap(a.allocsize, b.allocsize);
Swap(a.inc, b.inc);
}
template <class T>
inline void Array<T>::SetSize(int nsize)
{
MFEM_ASSERT( nsize>=0, "Size must be non-negative. It is " << nsize );
if (nsize > Capacity())
if (nsize > abs(allocsize))
{
GrowSize(nsize);
GrowSize(nsize, sizeof(T));
}
size = nsize;
}
@@ -645,51 +586,24 @@ inline void Array<T>::SetSize(int nsize, const T &initval)
MFEM_ASSERT( nsize>=0, "Size must be non-negative. It is " << nsize );
if (nsize > size)
{
if (nsize > Capacity())
if (nsize > abs(allocsize))
{
GrowSize(nsize);
GrowSize(nsize, sizeof(T));
}
for (int i = size; i < nsize; i++)
{
data[i] = initval;
((T*)data)[i] = initval;
}
}
size = nsize;
}
template <class T>
inline void Array<T>::SetSize(int nsize, MemoryType mt)
{
MFEM_ASSERT(nsize >= 0, "invalid new size: " << nsize);
if (mt == data.GetMemoryType())
{
if (nsize <= Capacity())
{
size = nsize;
return;
}
}
const bool use_dev = data.UseDevice();
data.Delete();
if (nsize > 0)
{
data.New(nsize, mt);
size = nsize;
}
else
{
data.Reset();
size = 0;
}
data.UseDevice(use_dev);
}
template <class T>
inline T &Array<T>::operator[](int i)
{
MFEM_ASSERT( i>=0 && i<size,
"Access element " << i << " of array, size = " << size );
return data[i];
return ((T*)data)[i];
}
template <class T>
@@ -697,14 +611,14 @@ inline const T &Array<T>::operator[](int i) const
{
MFEM_ASSERT( i>=0 && i<size,
"Access element " << i << " of array, size = " << size );
return data[i];
return ((T*)data)[i];
}
template <class T>
inline int Array<T>::Append(const T &el)
{
SetSize(size+1);
data[size-1] = el;
((T*)data)[size-1] = el;
return size;
}
@@ -716,7 +630,7 @@ inline int Array<T>::Append(const T *els, int nels)
SetSize(size + nels);
for (int i = 0; i < nels; i++)
{
data[old_size+i] = els[i];
((T*)data)[old_size+i] = els[i];
}
return size;
}
@@ -727,9 +641,9 @@ inline int Array<T>::Prepend(const T &el)
SetSize(size+1);
for (int i = size-1; i > 0; i--)
{
data[i] = data[i-1];
((T*)data)[i] = ((T*)data)[i-1];
}
data[0] = el;
((T*)data)[0] = el;
return size;
}
@@ -737,21 +651,21 @@ template <class T>
inline T &Array<T>::Last()
{
MFEM_ASSERT(size > 0, "Array size is zero: " << size);
return data[size-1];
return ((T*)data)[size-1];
}
template <class T>
inline const T &Array<T>::Last() const
{
MFEM_ASSERT(size > 0, "Array size is zero: " << size);
return data[size-1];
return ((T*)data)[size-1];
}
template <class T>
inline int Array<T>::Union(const T &el)
{
int i = 0;
while ((i < size) && (data[i] != el)) { i++; }
while ((i < size) && (((T*)data)[i] != el)) { i++; }
if (i == size)
{
Append(el);
@@ -764,7 +678,7 @@ inline int Array<T>::Find(const T &el) const
{
for (int i = 0; i < size; i++)
{
if (data[i] == el) { return i; }
if (((T*)data)[i] == el) { return i; }
}
return -1;
}
@@ -772,7 +686,7 @@ inline int Array<T>::Find(const T &el) const
template <class T>
inline int Array<T>::FindSorted(const T &el) const
{
const T *begin = data, *end = begin + size;
const T *begin = (const T*) data, *end = begin + size;
const T* first = std::lower_bound(begin, end, el);
if (first == end || !(*first == el)) { return -1; }
return first - begin;
@@ -783,11 +697,11 @@ inline void Array<T>::DeleteFirst(const T &el)
{
for (int i = 0; i < size; i++)
{
if (data[i] == el)
if (((T*)data)[i] == el)
{
for (i++; i < size; i++)
{
data[i-1] = data[i];
((T*)data)[i-1] = ((T*)data)[i];
}
size--;
return;
@@ -798,40 +712,41 @@ inline void Array<T>::DeleteFirst(const T &el)
template <class T>
inline void Array<T>::DeleteAll()
{
const bool use_dev = data.UseDevice();
data.Delete();
data.Reset();
size = 0;
data.UseDevice(use_dev);
}
template <typename T>
inline void Array<T>::Copy(Array &copy) const
{
copy.SetSize(Size(), data.GetMemoryType());
data.CopyTo(copy.data, Size());
copy.data.UseDevice(data.UseDevice());
if (allocsize > 0)
{
mfem::Delete((char*)data);
}
data = NULL;
size = allocsize = 0;
}
template <class T>
inline void Array<T>::MakeRef(T *p, int s)
{
data.Delete();
data.Wrap(p, s, false);
if (allocsize > 0)
{
mfem::Delete((char*)data);
}
data = p;
size = s;
allocsize = -s;
}
template <class T>
inline void Array<T>::MakeRef(const Array &master)
{
data.Delete();
data = master.data; // note: copies the device flag
if (allocsize > 0)
{
mfem::Delete((char*)data);
}
data = master.data;
size = master.size;
data.ClearOwnerFlags();
allocsize = -abs(master.allocsize);
inc = master.inc;
}
template <class T>
inline void Array<T>::GetSubArray(int offset, int sa_size, Array<T> &sa) const
inline void Array<T>::GetSubArray(int offset, int sa_size, Array<T> &sa)
{
sa.SetSize(sa_size);
for (int i = 0; i < sa_size; i++)
@@ -845,14 +760,14 @@ inline void Array<T>::operator=(const T &a)
{
for (int i = 0; i < size; i++)
{
data[i] = a;
((T*)data)[i] = a;
}
}
template <class T>
inline void Array<T>::Assign(const T *p)
{
data.CopyFromHost(p, Size());
memcpy(data, p, Size()*sizeof(T));
}
@@ -1003,7 +918,7 @@ long BlockArray<T>::MemoryUsage() const
}
template<typename T>
void BlockArray<T>::Destroy()
BlockArray<T>::~BlockArray()
{
int bsize = size & mask;
for (int i = blocks.Size(); i != 0; )
-72
View File
@@ -513,78 +513,6 @@ void GroupCommunicator::SetLTDofTable(const Array<int> &ldof_ltdof)
group_ltdof.ShiftUpI();
}
void GroupCommunicator::GetNeighborLTDofTable(Table &nbr_ltdof) const
{
nbr_ltdof.MakeI(nbr_send_groups.Size());
for (int nbr = 1; nbr < nbr_send_groups.Size(); nbr++)
{
const int num_send_groups = nbr_send_groups.RowSize(nbr);
if (num_send_groups > 0)
{
const int *grp_list = nbr_send_groups.GetRow(nbr);
for (int i = 0; i < num_send_groups; i++)
{
const int group = grp_list[i];
const int nltdofs = group_ltdof.RowSize(group);
nbr_ltdof.AddColumnsInRow(nbr, nltdofs);
}
}
}
nbr_ltdof.MakeJ();
for (int nbr = 1; nbr < nbr_send_groups.Size(); nbr++)
{
const int num_send_groups = nbr_send_groups.RowSize(nbr);
if (num_send_groups > 0)
{
const int *grp_list = nbr_send_groups.GetRow(nbr);
for (int i = 0; i < num_send_groups; i++)
{
const int group = grp_list[i];
const int nltdofs = group_ltdof.RowSize(group);
const int *ltdofs = group_ltdof.GetRow(group);
nbr_ltdof.AddConnections(nbr, ltdofs, nltdofs);
}
}
}
nbr_ltdof.ShiftUpI();
}
void GroupCommunicator::GetNeighborLDofTable(Table &nbr_ldof) const
{
nbr_ldof.MakeI(nbr_recv_groups.Size());
for (int nbr = 1; nbr < nbr_recv_groups.Size(); nbr++)
{
const int num_recv_groups = nbr_recv_groups.RowSize(nbr);
if (num_recv_groups > 0)
{
const int *grp_list = nbr_recv_groups.GetRow(nbr);
for (int i = 0; i < num_recv_groups; i++)
{
const int group = grp_list[i];
const int nldofs = group_ldof.RowSize(group);
nbr_ldof.AddColumnsInRow(nbr, nldofs);
}
}
}
nbr_ldof.MakeJ();
for (int nbr = 1; nbr < nbr_recv_groups.Size(); nbr++)
{
const int num_recv_groups = nbr_recv_groups.RowSize(nbr);
if (num_recv_groups > 0)
{
const int *grp_list = nbr_recv_groups.GetRow(nbr);
for (int i = 0; i < num_recv_groups; i++)
{
const int group = grp_list[i];
const int nldofs = group_ldof.RowSize(group);
const int *ldofs = group_ldof.GetRow(group);
nbr_ldof.AddConnections(nbr, ldofs, nldofs);
}
}
}
nbr_ldof.ShiftUpI();
}
template <class T>
T *GroupCommunicator::CopyGroupToBuffer(const T *ldata, T *buf, int group,
int layout) const
+5 -39
View File
@@ -179,12 +179,6 @@ public:
/// Get a const reference to the associated GroupTopology object
const GroupTopology &GetGroupTopology() const { return gtopo; }
/// Dofs to be sent to communication neighbors
void GetNeighborLTDofTable(Table &nbr_ltdof) const;
/// Dofs to be received from communication neighbors
void GetNeighborLDofTable(Table &nbr_ldof) const;
/** @brief Data structure on which we define reduce operations.
The data is associated with (and the operation is performed on) one group
@@ -322,9 +316,7 @@ struct VarMessage
std::string data;
MPI_Request send_request;
/** Non-blocking send to processor 'rank'. Returns immediately. Completion
(as tested by MPI_Wait/Test) does not mean the message was received --
it may be on its way or just buffered locally. */
/// Non-blocking send to processor 'rank'.
void Isend(int rank, MPI_Comm comm)
{
Encode(rank);
@@ -332,20 +324,12 @@ struct VarMessage
&send_request);
}
/** Non-blocking synchronous send to processor 'rank'. Returns immediately.
Completion (MPI_Wait/Test) means that the message was received. */
void Issend(int rank, MPI_Comm comm)
{
Encode(rank);
MPI_Issend((void*) data.data(), data.length(), MPI_BYTE, rank, Tag, comm,
&send_request);
}
/// Helper to send all messages in a rank-to-message map container.
template<typename MapT>
static void IsendAll(MapT& rank_msg, MPI_Comm comm)
{
for (auto it = rank_msg.begin(); it != rank_msg.end(); ++it)
typename MapT::iterator it;
for (it = rank_msg.begin(); it != rank_msg.end(); ++it)
{
it->second.Isend(it->first, comm);
}
@@ -355,32 +339,14 @@ struct VarMessage
template<typename MapT>
static void WaitAllSent(MapT& rank_msg)
{
for (auto it = rank_msg.begin(); it != rank_msg.end(); ++it)
typename MapT::iterator it;
for (it = rank_msg.begin(); it != rank_msg.end(); ++it)
{
MPI_Wait(&it->second.send_request, MPI_STATUS_IGNORE);
it->second.Clear();
}
}
/** Return true if all messages in the map container were sent, otherwise
return false, without waiting. */
template<typename MapT>
static bool TestAllSent(MapT& rank_msg)
{
for (auto it = rank_msg.begin(); it != rank_msg.end(); ++it)
{
VarMessage &msg = it->second;
if (msg.send_request != MPI_REQUEST_NULL)
{
int sent;
MPI_Test(&msg.send_request, &sent, MPI_STATUS_IGNORE);
if (!sent) { return false; }
msg.Clear();
}
}
return true;
}
/** Blocking probe for incoming message of this type from any rank.
Returns the rank and message size. */
static void Probe(int &rank, int &size, MPI_Comm comm)
+13 -61
View File
@@ -15,15 +15,11 @@
namespace mfem
{
// Internal debug option, useful for tracking CUDA allocations, deallocations
// and transfers.
// #define MFEM_TRACK_CUDA_MEM
#ifdef MFEM_USE_CUDA
void mfem_cuda_error(cudaError_t err, const char *expr, const char *func,
const char *file, int line)
{
mfem::err << "\n\nCUDA error: (" << expr << ") failed with error:\n --> "
mfem::err << "CUDA error: (" << expr << ") failed with error:\n --> "
<< cudaGetErrorString(err)
<< "\n ... in function: " << func
<< "\n ... in file: " << file << ':' << line << '\n';
@@ -34,14 +30,7 @@ void mfem_cuda_error(cudaError_t err, const char *expr, const char *func,
void* CuMemAlloc(void** dptr, size_t bytes)
{
#ifdef MFEM_USE_CUDA
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "CuMemAlloc(): allocating " << bytes << " bytes ... "
<< std::flush;
#endif
MFEM_GPU_CHECK(cudaMalloc(dptr, bytes));
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "done: " << *dptr << std::endl;
#endif
MFEM_CUDA_CHECK(cudaMalloc(dptr, bytes));
#endif
return *dptr;
}
@@ -49,14 +38,7 @@ void* CuMemAlloc(void** dptr, size_t bytes)
void* CuMemFree(void *dptr)
{
#ifdef MFEM_USE_CUDA
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "CuMemFree(): deallocating memory @ " << dptr << " ... "
<< std::flush;
#endif
MFEM_GPU_CHECK(cudaFree(dptr));
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "done." << std::endl;
#endif
MFEM_CUDA_CHECK(cudaFree(dptr));
#endif
return dptr;
}
@@ -64,14 +46,7 @@ void* CuMemFree(void *dptr)
void* CuMemcpyHtoD(void* dst, const void* src, size_t bytes)
{
#ifdef MFEM_USE_CUDA
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "CuMemcpyHtoD(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyHostToDevice));
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "done." << std::endl;
#endif
MFEM_CUDA_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyHostToDevice));
#endif
return dst;
}
@@ -79,64 +54,41 @@ void* CuMemcpyHtoD(void* dst, const void* src, size_t bytes)
void* CuMemcpyHtoDAsync(void* dst, const void* src, size_t bytes)
{
#ifdef MFEM_USE_CUDA
MFEM_GPU_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyHostToDevice));
MFEM_CUDA_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyHostToDevice));
#endif
return dst;
}
void* CuMemcpyDtoD(void *dst, const void *src, size_t bytes)
void* CuMemcpyDtoD(void* dst, void* src, size_t bytes)
{
#ifdef MFEM_USE_CUDA
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "CuMemcpyDtoD(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyDeviceToDevice));
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "done." << std::endl;
#endif
MFEM_CUDA_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyDeviceToDevice));
#endif
return dst;
}
void* CuMemcpyDtoDAsync(void* dst, const void *src, size_t bytes)
void* CuMemcpyDtoDAsync(void* dst, void* src, size_t bytes)
{
#ifdef MFEM_USE_CUDA
MFEM_GPU_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyDeviceToDevice));
MFEM_CUDA_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyDeviceToDevice));
#endif
return dst;
}
void* CuMemcpyDtoH(void *dst, const void *src, size_t bytes)
void* CuMemcpyDtoH(void *dst, void *src, size_t bytes)
{
#ifdef MFEM_USE_CUDA
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "CuMemcpyDtoH(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyDeviceToHost));
#ifdef MFEM_TRACK_CUDA_MEM
mfem::out << "done." << std::endl;
#endif
MFEM_CUDA_CHECK(cudaMemcpy(dst, src, bytes, cudaMemcpyDeviceToHost));
#endif
return dst;
}
void* CuMemcpyDtoHAsync(void *dst, const void *src, size_t bytes)
void* CuMemcpyDtoHAsync(void* dst, void* src, size_t bytes, void *s)
{
#ifdef MFEM_USE_CUDA
MFEM_GPU_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyDeviceToHost));
MFEM_CUDA_CHECK(cudaMemcpyAsync(dst, src, bytes, cudaMemcpyDeviceToHost));
#endif
return dst;
}
int CuGetDeviceCount()
{
int num_gpus = -1;
#ifdef MFEM_USE_CUDA
MFEM_GPU_CHECK(cudaGetDeviceCount(&num_gpus));
#endif
return num_gpus;
}
} // namespace mfem
+12 -31
View File
@@ -24,12 +24,12 @@
#define MFEM_CUDA_BLOCKS 256
#ifdef MFEM_USE_CUDA
#define MFEM_DEVICE __device__
#define MFEM_HOST_DEVICE __host__ __device__
// Define a CUDA error check macro, MFEM_GPU_CHECK(x), where x returns/is of
#define MFEM_ATTR_DEVICE __device__
#define MFEM_ATTR_HOST_DEVICE __host__ __device__
// Define a CUDA error check macro, MFEM_CUDA_CHECK(x), where x returns/is of
// type 'cudaError_t'. This macro evaluates 'x' and raises an error if the
// result is not cudaSuccess.
#define MFEM_GPU_CHECK(x) \
#define MFEM_CUDA_CHECK(x) \
do \
{ \
cudaError_t err = (x); \
@@ -39,33 +39,17 @@
} \
} \
while (0)
#define MFEM_DEVICE_SYNC MFEM_GPU_CHECK(cudaDeviceSynchronize())
#else
#define MFEM_DEVICE
#define MFEM_HOST_DEVICE
#define MFEM_DEVICE_SYNC
#else // MFEM_USE_CUDA
#define MFEM_ATTR_DEVICE
#define MFEM_ATTR_HOST_DEVICE
#endif // MFEM_USE_CUDA
// Define the MFEM inner threading macros
#if defined(MFEM_USE_CUDA) && defined(__CUDA_ARCH__)
#define MFEM_SHARED __shared__
#define MFEM_SYNC_THREAD __syncthreads()
#define MFEM_THREAD_ID(k) threadIdx.k
#define MFEM_THREAD_SIZE(k) blockDim.k
#define MFEM_FOREACH_THREAD(i,k,N) for(int i=threadIdx.k; i<N; i+=blockDim.k)
#else
#define MFEM_SHARED
#define MFEM_SYNC_THREAD
#define MFEM_THREAD_ID(k) 0
#define MFEM_THREAD_SIZE(k) 1
#define MFEM_FOREACH_THREAD(i,k,N) for(int i=0; i<N; i++)
#endif
namespace mfem
{
#ifdef MFEM_USE_CUDA
// Function used by the macro MFEM_GPU_CHECK.
// Function used by the macro MFEM_CUDA_CHECK.
void mfem_cuda_error(cudaError_t err, const char *expr, const char *func,
const char *file, int line);
#endif
@@ -83,19 +67,16 @@ void* CuMemcpyHtoD(void *d_dst, const void *h_src, size_t bytes);
void* CuMemcpyHtoDAsync(void *d_dst, const void *h_src, size_t bytes);
/// Copies memory from Device to Device
void* CuMemcpyDtoD(void *d_dst, const void *d_src, size_t bytes);
void* CuMemcpyDtoD(void *d_dst, void *d_src, size_t bytes);
/// Copies memory from Device to Device
void* CuMemcpyDtoDAsync(void *d_dst, const void *d_src, size_t bytes);
void* CuMemcpyDtoDAsync(void *d_dst, void *d_src, size_t bytes);
/// Copies memory from Device to Host
void* CuMemcpyDtoH(void *h_dst, const void *d_src, size_t bytes);
void* CuMemcpyDtoH(void *h_dst, void *d_src, size_t bytes);
/// Copies memory from Device to Host
void* CuMemcpyDtoHAsync(void *h_dst, const void *d_src, size_t bytes);
/// Get the number of CUDA devices
int CuGetDeviceCount();
void* CuMemcpyDtoHAsync(void *h_dst, void *d_src, size_t bytes);
} // namespace mfem
+11 -68
View File
@@ -24,16 +24,12 @@ namespace mfem
namespace internal
{
#ifdef MFEM_USE_OCCA
// Default occa::device used by MFEM.
occa::device occaDevice;
#endif
OccaDevice occaDevice;
// Backends listed by priority, high to low:
static const Backend::Id backend_list[Backend::NUM_BACKENDS] =
{
Backend::OCCA_CUDA, Backend::RAJA_CUDA, Backend::CUDA,
Backend::HIP,
Backend::OCCA_OMP, Backend::RAJA_OMP, Backend::OMP,
Backend::OCCA_CPU, Backend::RAJA_CPU, Backend::CPU
};
@@ -41,22 +37,12 @@ static const Backend::Id backend_list[Backend::NUM_BACKENDS] =
// Backend names listed by priority, high to low:
static const char *backend_name[Backend::NUM_BACKENDS] =
{
"occa-cuda", "raja-cuda", "cuda", "hip", "occa-omp", "raja-omp", "omp",
"occa-cuda", "raja-cuda", "cuda", "occa-omp", "raja-omp", "omp",
"occa-cpu", "raja-cpu", "cpu"
};
} // namespace mfem::internal
// Initialize the unique global Device variable.
Device Device::device_singleton;
Device::~Device()
{
if (destroy_mm) { mm.Destroy(); }
}
void Device::Configure(const std::string &device, const int dev)
{
std::map<std::string, Backend::Id> bmap;
@@ -78,22 +64,18 @@ void Device::Configure(const std::string &device, const int dev)
}
// OCCA_CUDA needs CUDA or RAJA_CUDA:
Get().allowed_backends = Get().backends;
if (Allows(Backend::OCCA_CUDA) && !Allows(Backend::RAJA_CUDA))
{
Get().MarkBackend(Backend::CUDA);
}
// Perform setup.
// Activate all backends for Setup().
Get().allowed_backends = Get().backends;
Get().Setup(dev);
// Enable the device
Enable();
// Copy all data members from the global 'singleton_device' into '*this'.
std::memcpy(this, &Get(), sizeof(Device));
// Only '*this' will call the MemoryManager::Destroy() method.
destroy_mm = true;
// Enable only the default host CPU backend.
Get().allowed_backends = Backend::CPU;
}
void Device::Print(std::ostream &out)
@@ -102,7 +84,7 @@ void Device::Print(std::ostream &out)
bool add_comma = false;
for (int i = 0; i < Backend::NUM_BACKENDS; i++)
{
if (backends & internal::backend_list[i])
if (Get().backends & internal::backend_list[i])
{
if (add_comma) { out << ','; }
add_comma = true;
@@ -112,35 +94,12 @@ void Device::Print(std::ostream &out)
out << '\n';
}
void Device::UpdateMemoryTypeAndClass()
{
if (Device::Allows(Backend::DEVICE_MASK))
{
mem_type = MemoryType::CUDA;
mem_class = MemoryClass::CUDA;
}
else
{
mem_type = MemoryType::HOST;
mem_class = MemoryClass::HOST;
}
}
void Device::Enable()
{
if (Get().backends & ~Backend::CPU)
{
Get().mode = Device::ACCELERATED;
Get().UpdateMemoryTypeAndClass();
}
}
#ifdef MFEM_USE_CUDA
static void DeviceSetup(const int dev, int &ngpu)
{
ngpu = CuGetDeviceCount();
MFEM_CUDA_CHECK(cudaGetDeviceCount(&ngpu));
MFEM_VERIFY(ngpu > 0, "No CUDA device found!");
MFEM_GPU_CHECK(cudaSetDevice(dev));
MFEM_CUDA_CHECK(cudaSetDevice(dev));
}
#endif
@@ -151,18 +110,6 @@ static void CudaDeviceSetup(const int dev, int &ngpu)
#endif
}
static void HipDeviceSetup(const int dev, int &ngpu)
{
#ifdef MFEM_USE_HIP
int deviceId;
MFEM_GPU_CHECK(hipGetDevice(&deviceId));
hipDeviceProp_t props;
MFEM_GPU_CHECK(hipGetDeviceProperties(&props, deviceId));
MFEM_VERIFY(dev==deviceId,"");
ngpu = 1;
#endif
}
static void RajaDeviceSetup(const int dev, int &ngpu)
{
#ifdef MFEM_USE_CUDA
@@ -229,14 +176,11 @@ void Device::Setup(const int device)
ngpu = 0;
dev = device;
#ifndef MFEM_USE_CUDA
MFEM_VERIFY(!Allows(Backend::CUDA_MASK),
"the CUDA backends require MFEM built with MFEM_USE_CUDA=YES");
#endif
#ifndef MFEM_USE_HIP
MFEM_VERIFY(!Allows(Backend::HIP_MASK),
"the HIP backends require MFEM built with MFEM_USE_HIP=YES");
#endif
#ifndef MFEM_USE_RAJA
MFEM_VERIFY(!Allows(Backend::RAJA_MASK),
"the RAJA backends require MFEM built with MFEM_USE_RAJA=YES");
@@ -247,7 +191,6 @@ void Device::Setup(const int device)
" MFEM_USE_OPENMP=YES");
#endif
if (Allows(Backend::CUDA)) { CudaDeviceSetup(dev, ngpu); }
if (Allows(Backend::HIP)) { HipDeviceSetup(dev, ngpu); }
if (Allows(Backend::RAJA_CUDA)) { RajaDeviceSetup(dev, ngpu); }
// The check for MFEM_USE_OCCA is in the function OccaDeviceSetup().
if (Allows(Backend::OCCA_MASK)) { OccaDeviceSetup(dev); }
+61 -183
View File
@@ -12,9 +12,7 @@
#ifndef MFEM_DEVICE_HPP
#define MFEM_DEVICE_HPP
#include "cuda.hpp"
#include "globals.hpp"
#include "mem_manager.hpp"
namespace mfem
{
@@ -36,25 +34,23 @@ struct Backend
OMP = 1 << 1,
/// [device] CUDA backend. Enabled when MFEM_USE_CUDA = YES.
CUDA = 1 << 2,
/// [device] HIP backend. Enabled when MFEM_USE_HIP = YES.
HIP = 1 << 3,
/** @brief [host] RAJA CPU backend: sequential execution on each MPI rank.
Enabled when MFEM_USE_RAJA = YES. */
RAJA_CPU = 1 << 4,
RAJA_CPU = 1 << 3,
/** @brief [host] RAJA OpenMP backend. Enabled when MFEM_USE_RAJA = YES
and MFEM_USE_OPENMP = YES. */
RAJA_OMP = 1 << 5,
RAJA_OMP = 1 << 4,
/** @brief [device] RAJA CUDA backend. Enabled when MFEM_USE_RAJA = YES
and MFEM_USE_CUDA = YES. */
RAJA_CUDA = 1 << 6,
RAJA_CUDA = 1 << 5,
/** @brief [host] OCCA CPU backend: sequential execution on each MPI rank.
Enabled when MFEM_USE_OCCA = YES. */
OCCA_CPU = 1 << 7,
OCCA_CPU = 1 << 6,
/// [host] OCCA OpenMP backend. Enabled when MFEM_USE_OCCA = YES.
OCCA_OMP = 1 << 8,
OCCA_OMP = 1 << 7,
/** @brief [device] OCCA CUDA backend. Enabled when MFEM_USE_OCCA = YES
and MFEM_USE_CUDA = YES. */
OCCA_CUDA = 1 << 9
OCCA_CUDA = 1 << 8
};
/** @brief Additional useful constants. For example, the *_MASK constants can
@@ -62,34 +58,26 @@ struct Backend
enum
{
/// Number of backends: from (1 << 0) to (1 << (NUM_BACKENDS-1)).
NUM_BACKENDS = 10,
/// Biwise-OR of all CPU backends
CPU_MASK = CPU | RAJA_CPU | OCCA_CPU,
NUM_BACKENDS = 9,
/// Biwise-OR of all CUDA backends
CUDA_MASK = CUDA | RAJA_CUDA | OCCA_CUDA,
/// Biwise-OR of all HIP backends
HIP_MASK = HIP,
/// Biwise-OR of all OpenMP backends
OMP_MASK = OMP | RAJA_OMP | OCCA_OMP,
/// Biwise-OR of all device backends
DEVICE_MASK = CUDA_MASK | HIP_MASK,
/// Biwise-OR of all RAJA backends
RAJA_MASK = RAJA_CPU | RAJA_OMP | RAJA_CUDA,
/// Biwise-OR of all OCCA backends
OCCA_MASK = OCCA_CPU | OCCA_OMP | OCCA_CUDA
OCCA_MASK = OCCA_CPU | OCCA_OMP | OCCA_CUDA,
/// Biwise-OR of all OpenMP backends
OMP_MASK = OMP | RAJA_OMP | OCCA_OMP,
/// Biwise-OR of all device backends
DEVICE_MASK = CUDA_MASK
};
};
/** @brief The MFEM Device class abstracts hardware devices such as GPUs, as
well as programming models such as CUDA, OCCA, RAJA and OpenMP. */
/** @brief The MFEM Device class abstracts hardware devices, such as GPUs, as
well as programming models, such as CUDA, OCCA, RAJA and OpenMP. */
/** This class represents a "virtual device" with the following properties:
- At most one object of this class can be constructed and that object is
controlled by its static methods.
- If no Device object is constructed, the static methods will use a default
global object which is never configured and always uses Backend::CPU.
- There a single object of this class which is controlled by its static
methods.
- Once configured, the object cannot be re-configured during the program
lifetime.
- MFEM classes use this object to determine where (host or device) to
@@ -97,81 +85,37 @@ struct Backend
- Multiple backends can be configured at the same time; currently, a fixed
priority order is used to select a specific backend from the list of
configured backends. See the Backend class and the Configure() method in
this class for details. */
this class for details.
- The device can be disabled to restrict the backend selection to only the
default host CPU backend, see the methods Enable() and Disable(). */
class Device
{
private:
enum MODES {SEQUENTIAL, ACCELERATED};
static Device device_singleton;
MODES mode;
int dev = 0; ///< Device ID of the configured device.
int ngpu = -1; ///< Number of detected devices; -1: not initialized.
unsigned long backends; ///< Bitwise-OR of all configured backends.
/// Set to true during configuration, except in 'device_singleton'.
bool destroy_mm;
bool mpi_gpu_aware;
MemoryType mem_type; ///< Current Device MemoryType
MemoryClass mem_class; ///< Current Device MemoryClass
/** Bitwise-OR mask of all allowed backends. All backends are active when the
Device is enabled. When the Device is disabled, only the host CPU backend
is allowed. */
unsigned long allowed_backends;
Device()
: mode(Device::SEQUENTIAL),
backends(Backend::CPU),
allowed_backends(backends) { }
Device(Device const&);
void operator=(Device const&);
static Device& Get() { return device_singleton; }
static Device& Get() { static Device singleton; return singleton; }
/// Setup switcher based on configuration settings
void Setup(const int dev = 0);
void MarkBackend(Backend::Id b) { backends |= b; }
void UpdateMemoryTypeAndClass();
/// Enable the use of the configured device in the code that follows.
/** After this call MFEM classes will use the backend kernels whenever
possible, transferring data automatically to the device, if necessary.
If the only configured backend is the default host CPU one, the device
will remain disabled.
If the device is actually enabled, this method will also update the
current MemoryType and MemoryClass. */
static void Enable();
public:
/** @brief Default constructor. Unless Configure() is called later, the
default Backend::CPU will be used. */
/** @note At most one Device object can be constructed during the lifetime of
a program.
@note This object should be destroyed after all other MFEM objects that
use the Device are destroyed. */
Device()
: mode(Device::SEQUENTIAL),
backends(Backend::CPU),
destroy_mm(false),
mpi_gpu_aware(false),
mem_type(MemoryType::HOST),
mem_class(MemoryClass::HOST)
{ }
/** @brief Construct a Device and configure it based on the @a device string.
See Configure() for more details. */
/** @note At most one Device object can be constructed during the lifetime of
a program.
@note This object should be destroyed after all other MFEM objects that
use the Device are destroyed. */
Device(const std::string &device, const int dev = 0)
: mode(Device::SEQUENTIAL),
backends(Backend::CPU),
destroy_mm(false),
mpi_gpu_aware(false),
mem_type(MemoryType::HOST),
mem_class(MemoryClass::HOST)
{ Configure(device, dev); }
/// Destructor.
~Device();
/// Configure the Device backends.
/** The string parameter @a device must be a comma-separated list of backend
string names (see below). The @a dev argument specifies the ID of the
@@ -182,16 +126,17 @@ public:
string name of 'RAJA_CPU' is 'raja-cpu'.
* The 'cpu' backend is always enabled with lowest priority.
* The current backend priority from highest to lowest is: 'occa-cuda',
'raja-cuda', 'cuda', 'hip', 'occa-omp', 'raja-omp', 'omp', 'occa-cpu',
'raja-cuda', 'cuda', 'occa-omp', 'raja-omp', 'omp', 'occa-cpu',
'raja-cpu', 'cpu'.
* Multiple backends can be configured at the same time.
* Only one 'occa-*' backend can be configured at a time.
* The backend 'occa-cuda' enables the 'cuda' backend unless 'raja-cuda'
is already enabled. */
void Configure(const std::string &device, const int dev = 0);
is already enabled.
* After this call, the Device will be disabled. */
static void Configure(const std::string &device, const int dev = 0);
/// Print the configuration of the MFEM virtual device object.
void Print(std::ostream &out = mfem::out);
static void Print(std::ostream &out = mfem::out);
/// Return true if Configure() has been called previously.
static inline bool IsConfigured() { return Get().ngpu >= 0; }
@@ -199,112 +144,45 @@ public:
/// Return true if an actual device (e.g. GPU) has been configured.
static inline bool IsAvailable() { return Get().ngpu > 0; }
/// Return true if any backend other than Backend::CPU is enabled.
/// Enable the use of the configured device in the code that follows.
/** After this call MFEM classes will use the backend kernels whenever
possible, transferring data automatically to the device, if necessary.
If the only configured backend is the default host CPU one, the device
will remain disabled. */
static inline void Enable()
{
if (Get().backends & ~Backend::CPU)
{
Get().mode = Device::ACCELERATED;
Get().allowed_backends = Get().backends;
}
}
/// Disable the use of the configured device in the code that follows.
/** After this call MFEM classes will only use default CPU kernels,
transferring data automatically from the device, if necessary. */
static inline void Disable()
{
Get().mode = Device::SEQUENTIAL;
Get().allowed_backends = Backend::CPU;
}
/// Return true if the Device is enabled.
static inline bool IsEnabled() { return Get().mode == ACCELERATED; }
/// The opposite of IsEnabled().
static inline bool IsDisabled() { return !IsEnabled(); }
/** @brief Return true if any of the backends in the backend mask, @a b_mask,
are allowed. */
are allowed. The allowed backends are all configured backends minus the
device backends when the Device is disabled. */
/** This method can be used with any of the Backend::Id constants, the
Backend::*_MASK, or combinations of those. */
static inline bool Allows(unsigned long b_mask)
{ return Get().backends & b_mask; }
/** @brief Get the current Device MemoryType. This is the MemoryType used by
most MFEM classes when allocating memory to be used with device kernels.
*/
static inline MemoryType GetMemoryType() { return Get().mem_type; }
/** @brief Get the current Device MemoryClass. This is the MemoryClass used
by most MFEM device kernels to access Memory objects. */
static inline MemoryClass GetMemoryClass() { return Get().mem_class; }
static void SetGPUAwareMPI(const bool force = true)
{ Get().mpi_gpu_aware = force; }
static bool GetGPUAwareMPI() { return Get().mpi_gpu_aware; }
static void Synchronize() { MFEM_DEVICE_SYNC; }
{ return Get().allowed_backends & b_mask; }
};
// Inline Memory access functions using the mfem::Device MemoryClass or
// MemoryClass::HOST.
/** @brief Get a pointer for read access to @a mem with the mfem::Device
MemoryClass, if @a on_dev = true, or MemoryClass::HOST, otherwise. */
/** Also, if @a on_dev = true, the device flag of @a mem will be set. */
template <typename T>
inline const T *Read(const Memory<T> &mem, int size, bool on_dev = true)
{
if (!on_dev)
{
return mem.Read(MemoryClass::HOST, size);
}
else
{
mem.UseDevice(true);
return mem.Read(Device::GetMemoryClass(), size);
}
}
/** @brief Shortcut to Read(const Memory<T> &mem, int size, false) */
template <typename T>
inline const T *HostRead(const Memory<T> &mem, int size)
{
return mfem::Read(mem, size, false);
}
/** @brief Get a pointer for write access to @a mem with the mfem::Device
MemoryClass, if @a on_dev = true, or MemoryClass::HOST, otherwise. */
/** Also, if @a on_dev = true, the device flag of @a mem will be set. */
template <typename T>
inline T *Write(Memory<T> &mem, int size, bool on_dev = true)
{
if (!on_dev)
{
return mem.Write(MemoryClass::HOST, size);
}
else
{
mem.UseDevice(true);
return mem.Write(Device::GetMemoryClass(), size);
}
}
/** @brief Shortcut to Write(const Memory<T> &mem, int size, false) */
template <typename T>
inline const T *HostWrite(const Memory<T> &mem, int size)
{
return mfem::Write(mem, size, false);
}
/** @brief Get a pointer for read+write access to @a mem with the mfem::Device
MemoryClass, if @a on_dev = true, or MemoryClass::HOST, otherwise. */
/** Also, if @a on_dev = true, the device flag of @a mem will be set. */
template <typename T>
inline T *ReadWrite(Memory<T> &mem, int size, bool on_dev = true)
{
if (!on_dev)
{
return mem.ReadWrite(MemoryClass::HOST, size);
}
else
{
mem.UseDevice(true);
return mem.ReadWrite(Device::GetMemoryClass(), size);
}
}
/** @brief Shortcut to ReadWrite(Memory<T> &mem, int size, false) */
template <typename T>
inline T *HostReadWrite(Memory<T> &mem, int size)
{
return mfem::ReadWrite(mem, size, false);
}
} // mfem
#endif // MFEM_DEVICE_HPP
-6
View File
@@ -138,10 +138,4 @@ void mfem_warning(const char *msg = NULL);
// Generate a warning message - always generated, regardless of MFEM_DEBUG.
#define MFEM_WARNING(msg) _MFEM_MESSAGE("MFEM Warning: " << msg, 1)
// Macro that checks (in MFEM_DEBUG mode) that i is in the range [imin,imax).
#define MFEM_ASSERT_INDEX_IN_RANGE(i,imin,imax) \
MFEM_ASSERT((imin) <= (i) && (i) < (imax), \
"invalid index " #i << " = " << (i) << \
", valid range is [" << (imin) << ',' << (imax) << ')')
#endif
+34 -253
View File
@@ -15,7 +15,6 @@
#include "../config/config.hpp"
#include "error.hpp"
#include "cuda.hpp"
#include "hip.hpp"
#include "occa.hpp"
#include "device.hpp"
#include "mem_manager.hpp"
@@ -31,40 +30,14 @@
namespace mfem
{
// Maximum size of dofs and quads in 1D.
const int MAX_D1D = 16;
const int MAX_Q1D = 16;
// Implementation of MFEM's "parallel for" (forall) device/host kernel
// interfaces supporting RAJA, CUDA, OpenMP, and sequential backends.
// The MFEM_FORALL wrapper
#define MFEM_FORALL(i,N,...) \
ForallWrap<1>(true,N, \
[=] MFEM_DEVICE (int i) {__VA_ARGS__}, \
[&] (int i) {__VA_ARGS__})
// MFEM_FORALL with a 2D CUDA block
#define MFEM_FORALL_2D(i,N,X,Y,BZ,...) \
ForallWrap<2>(true,N, \
[=] MFEM_DEVICE (int i) {__VA_ARGS__}, \
[&] (int i) {__VA_ARGS__}, \
X,Y,BZ)
// MFEM_FORALL with a 3D CUDA block
#define MFEM_FORALL_3D(i,N,X,Y,Z,...) \
ForallWrap<3>(true,N, \
[=] MFEM_DEVICE (int i) {__VA_ARGS__}, \
[&] (int i) {__VA_ARGS__}, \
X,Y,Z)
// MFEM_FORALL that uses the basic CPU backend when use_dev is false. See for
// example the functions in vector.cpp, where we don't want to use the mfem
// device for operations on small vectors.
#define MFEM_FORALL_SWITCH(use_dev,i,N,...) \
ForallWrap<1>(use_dev,N, \
[=] MFEM_DEVICE (int i) {__VA_ARGS__}, \
[&] (int i) {__VA_ARGS__})
#define MFEM_FORALL(i,N,...) \
ForallWrap(N, \
[=] MFEM_ATTR_DEVICE (int i) {__VA_ARGS__}, \
[&] (int i) {__VA_ARGS__})
/// OpenMP backend
@@ -84,75 +57,27 @@ void OmpWrap(const int N, HBODY &&h_body)
/// RAJA Cuda backend
template <int BLOCKS, typename DBODY>
void RajaCudaWrap(const int N, DBODY &&d_body)
{
#if defined(MFEM_USE_RAJA) && defined(RAJA_ENABLE_CUDA)
using RAJA::statement::Segs;
template <const int BLOCKS = MFEM_CUDA_BLOCKS, typename DBODY>
void RajaCudaWrap1D(const int N, DBODY &&d_body)
{
//true denotes asynchronous kernel
RAJA::forall<RAJA::cuda_exec<BLOCKS,true>>(RAJA::RangeSegment(0,N),d_body);
}
template <typename DBODY>
void RajaCudaWrap2D(const int N, DBODY &&d_body,
const int X, const int Y, const int BZ)
{
MFEM_VERIFY(N>0, "");
MFEM_VERIFY(BZ>0, "");
const int G = (N+BZ-1)/BZ;
RAJA::kernel<RAJA::KernelPolicy<
RAJA::statement::CudaKernelAsync<
RAJA::statement::For<0, RAJA::cuda_block_x_direct,
RAJA::statement::For<1, RAJA::cuda_thread_x_direct,
RAJA::statement::For<2, RAJA::cuda_thread_y_direct,
RAJA::statement::For<3, RAJA::cuda_thread_z_direct,
RAJA::statement::Lambda<0, Segs<0>>>>>>>>>
(RAJA::make_tuple(RAJA::RangeSegment(0,G), RAJA::RangeSegment(0,X),
RAJA::RangeSegment(0,Y), RAJA::RangeSegment(0,BZ)),
[=] RAJA_DEVICE (const int n)
{
const int k = n*BZ + threadIdx.z;
if (k >= N) { return; }
d_body(k);
});
MFEM_GPU_CHECK(cudaGetLastError());
}
template <typename DBODY>
void RajaCudaWrap3D(const int N, DBODY &&d_body,
const int X, const int Y, const int Z)
{
MFEM_VERIFY(N>0, "");
RAJA::kernel<RAJA::KernelPolicy<
RAJA::statement::CudaKernelAsync<
RAJA::statement::For<0, RAJA::cuda_block_x_direct,
RAJA::statement::For<1, RAJA::cuda_thread_x_direct,
RAJA::statement::For<2, RAJA::cuda_thread_y_direct,
RAJA::statement::For<3, RAJA::cuda_thread_z_direct,
RAJA::statement::Lambda<0, Segs<0>>>>>>>>>
(RAJA::make_tuple(RAJA::RangeSegment(0,N), RAJA::RangeSegment(0,X),
RAJA::RangeSegment(0,Y), RAJA::RangeSegment(0,Z)),
[=] RAJA_DEVICE (const int k) { d_body(k); });
MFEM_GPU_CHECK(cudaGetLastError());
}
RAJA::forall<RAJA::cuda_exec<BLOCKS>>(RAJA::RangeSegment(0,N),d_body);
#else
MFEM_ABORT("RAJA::Cuda requested but RAJA::Cuda is not enabled!");
#endif
}
/// RAJA OpenMP backend
#if defined(MFEM_USE_RAJA) && defined(RAJA_ENABLE_OPENMP)
using RAJA::statement::Segs;
template <typename HBODY>
void RajaOmpWrap(const int N, HBODY &&h_body)
{
#if defined(MFEM_USE_RAJA) && defined(RAJA_ENABLE_OPENMP)
RAJA::forall<RAJA::omp_parallel_for_exec>(RAJA::RangeSegment(0,N), h_body);
}
#else
MFEM_ABORT("RAJA::OpenMP requested but RAJA::OpenMP is not enabled!");
#endif
}
/// RAJA sequential loop backend
@@ -171,190 +96,46 @@ void RajaSeqWrap(const int N, HBODY &&h_body)
#ifdef MFEM_USE_CUDA
template <typename BODY> __global__ static
void CuKernel1D(const int N, BODY body)
void CuKernel(const int N, BODY body)
{
const int k = blockDim.x*blockIdx.x + threadIdx.x;
if (k >= N) { return; }
body(k);
}
template <typename BODY> __global__ static
void CuKernel2D(const int N, BODY body, const int BZ)
{
const int k = blockIdx.x*BZ + threadIdx.z;
if (k >= N) { return; }
body(k);
}
template <typename BODY> __global__ static
void CuKernel3D(const int N, BODY body)
{
const int k = blockIdx.x;
if (k >= N) { return; }
body(k);
}
template <const int BLCK = MFEM_CUDA_BLOCKS, typename DBODY>
void CuWrap1D(const int N, DBODY &&d_body)
template <int BLOCKS, typename DBODY>
void CuWrap(const int N, DBODY &&d_body)
{
if (N==0) { return; }
const int GRID = (N+BLCK-1)/BLCK;
CuKernel1D<<<GRID,BLCK>>>(N, d_body);
MFEM_GPU_CHECK(cudaGetLastError());
const int GRID = (N+BLOCKS-1)/BLOCKS;
CuKernel<<<GRID,BLOCKS>>>(N,d_body);
MFEM_CUDA_CHECK(cudaGetLastError());
}
template <typename DBODY>
void CuWrap2D(const int N, DBODY &&d_body,
const int X, const int Y, const int BZ)
{
if (N==0) { return; }
MFEM_VERIFY(BZ>0, "");
const int GRID = (N+BZ-1)/BZ;
const dim3 BLCK(X,Y,BZ);
CuKernel2D<<<GRID,BLCK>>>(N,d_body,BZ);
MFEM_GPU_CHECK(cudaGetLastError());
}
#else // MFEM_USE_CUDA
template <typename DBODY>
void CuWrap3D(const int N, DBODY &&d_body,
const int X, const int Y, const int Z)
{
if (N==0) { return; }
const int GRID = N;
const dim3 BLCK(X,Y,Z);
CuKernel3D<<<GRID,BLCK>>>(N,d_body);
MFEM_GPU_CHECK(cudaGetLastError());
}
template <int BLOCKS, typename DBODY>
void CuWrap(const int N, DBODY &&d_body) {}
#endif // MFEM_USE_CUDA
/// HIP backend
#ifdef MFEM_USE_HIP
template <typename BODY> __global__ static
void HipKernel1D(const int N, BODY body)
{
const int k = hipBlockDim_x*hipBlockIdx_x + hipThreadIdx_x;
if (k >= N) { return; }
body(k);
}
template <typename BODY> __global__ static
void HipKernel2D(const int N, BODY body, const int BZ)
{
const int k = hipBlockIdx_x*BZ + hipThreadIdx_z;
if (k >= N) { return; }
body(k);
}
template <typename BODY> __global__ static
void HipKernel3D(const int N, BODY body)
{
const int k = hipBlockIdx_x;
if (k >= N) { return; }
body(k);
}
template <const int BLCK = MFEM_HIP_BLOCKS, typename DBODY>
void HipWrap1D(const int N, DBODY &&d_body)
{
if (N==0) { return; }
const int GRID = (N+BLCK-1)/BLCK;
hipLaunchKernelGGL(HipKernel1D,GRID,BLCK,0,0,N,d_body);
MFEM_GPU_CHECK(hipGetLastError());
}
template <typename DBODY>
void HipWrap2D(const int N, DBODY &&d_body,
const int X, const int Y, const int BZ)
{
if (N==0) { return; }
const int GRID = (N+BZ-1)/BZ;
const dim3 BLCK(X,Y,BZ);
hipLaunchKernelGGL(HipKernel2D,GRID,BLCK,0,0,N,d_body,BZ);
MFEM_GPU_CHECK(hipGetLastError());
}
template <typename DBODY>
void HipWrap3D(const int N, DBODY &&d_body,
const int X, const int Y, const int Z)
{
if (N==0) { return; }
const int GRID = N;
const dim3 BLCK(X,Y,Z);
hipLaunchKernelGGL(HipKernel3D,GRID,BLCK,0,0,N,d_body);
MFEM_GPU_CHECK(hipGetLastError());
}
#endif // MFEM_USE_HIP
#endif
/// The forall kernel body wrapper
template <const int DIM, typename DBODY, typename HBODY>
inline void ForallWrap(const bool use_dev, const int N,
DBODY &&d_body, HBODY &&h_body,
const int X=0, const int Y=0, const int Z=0)
template <typename DBODY, typename HBODY>
void ForallWrap(const int N, DBODY &&d_body, HBODY &&h_body)
{
if (!use_dev) { goto backend_cpu; }
if (Device::Allows(Backend::RAJA_CUDA))
{ return RajaCudaWrap<MFEM_CUDA_BLOCKS>(N, d_body); }
#if defined(MFEM_USE_RAJA) && defined(RAJA_ENABLE_CUDA)
// Handle all allowed CUDA backends except Backend::CUDA
if (DIM == 1 && Device::Allows(Backend::CUDA_MASK & ~Backend::CUDA))
{ return RajaCudaWrap1D(N, d_body); }
if (Device::Allows(Backend::CUDA))
{ return CuWrap<MFEM_CUDA_BLOCKS>(N, d_body); }
if (DIM == 2 && Device::Allows(Backend::CUDA_MASK & ~Backend::CUDA))
{ return RajaCudaWrap2D(N, d_body, X, Y, Z); }
if (Device::Allows(Backend::RAJA_OMP)) { return RajaOmpWrap(N, h_body); }
if (DIM == 3 && Device::Allows(Backend::CUDA_MASK & ~Backend::CUDA))
{ return RajaCudaWrap3D(N, d_body, X, Y, Z); }
#endif
if (Device::Allows(Backend::OMP)) { return OmpWrap(N, h_body); }
#ifdef MFEM_USE_CUDA
// Handle all allowed CUDA backends
if (DIM == 1 && Device::Allows(Backend::CUDA_MASK))
{ return CuWrap1D(N, d_body); }
if (Device::Allows(Backend::RAJA_CPU)) { return RajaSeqWrap(N, h_body); }
if (DIM == 2 && Device::Allows(Backend::CUDA_MASK))
{ return CuWrap2D(N, d_body, X, Y, Z); }
if (DIM == 3 && Device::Allows(Backend::CUDA_MASK))
{ return CuWrap3D(N, d_body, X, Y, Z); }
#endif
#ifdef MFEM_USE_HIP
// Handle all allowed HIP backends
if (DIM == 1 && Device::Allows(Backend::HIP_MASK))
{ return HipWrap1D(N, d_body); }
if (DIM == 2 && Device::Allows(Backend::HIP_MASK))
{ return HipWrap2D(N, d_body, X, Y, Z); }
if (DIM == 3 && Device::Allows(Backend::HIP_MASK))
{ return HipWrap3D(N, d_body, X, Y, Z); }
#endif
#if defined(MFEM_USE_RAJA) && defined(RAJA_ENABLE_OPENMP)
// Handle all allowed OpenMP backends except Backend::OMP
if (Device::Allows(Backend::OMP_MASK & ~Backend::OMP))
{ return RajaOmpWrap(N, h_body); }
#endif
#ifdef MFEM_USE_OPENMP
// Handle all allowed OpenMP backends
if (Device::Allows(Backend::OMP_MASK)) { return OmpWrap(N, h_body); }
#endif
#ifdef MFEM_USE_RAJA
// Handle all allowed CPU backends except Backend::CPU
if (Device::Allows(Backend::CPU_MASK & ~Backend::CPU))
{ return RajaSeqWrap(N, h_body); }
#endif
backend_cpu:
// Handle Backend::CPU. This is also a fallback for any allowed backends not
// handled above, e.g. OCCA_CPU with configuration 'occa-cpu,cpu', or
// OCCA_OMP with configuration 'occa-omp,cpu'.
for (int k = 0; k < N; k++) { h_body(k); }
}
-6
View File
@@ -31,12 +31,6 @@ std::string MakeParFilename(const std::string &prefix, const int myid,
return fname.str();
}
#ifdef MFEM_COUNT_FLOPS
namespace internal
{
long long flop_count;
}
#endif
#ifdef MFEM_USE_MPI
-5
View File
@@ -107,9 +107,4 @@ void SetGlobalMPI_Comm(MPI_Comm comm);
} // namespace mfem
// Request a global object to be instantiated for each thread in its TLS.
#define MFEM_THREAD_LOCAL thread_local
#endif
+9 -32
View File
@@ -79,22 +79,22 @@ public:
/// Get item whose parents are p1, p2... Create it if it doesn't exist.
T* Get(int p1, int p2);
T* Get(int p1, int p2, int p3, int p4 = -1 /* p4 optional */);
T* Get(int p1, int p2, int p3, int p4);
/// Get id of item whose parents are p1, p2... Create it if it doesn't exist.
int GetId(int p1, int p2);
int GetId(int p1, int p2, int p3, int p4 = -1);
int GetId(int p1, int p2, int p3, int p4);
/// Find item whose parents are p1, p2... Return NULL if it doesn't exist.
T* Find(int p1, int p2);
T* Find(int p1, int p2, int p3, int p4 = -1);
T* Find(int p1, int p2, int p3, int p4);
const T* Find(int p1, int p2) const;
const T* Find(int p1, int p2, int p3, int p4 = -1) const;
const T* Find(int p1, int p2, int p3, int p4) const;
/// Find id of item whose parents are p1, p2... Return -1 if it doesn't exist.
int FindId(int p1, int p2) const;
int FindId(int p1, int p2, int p3, int p4 = -1) const;
int FindId(int p1, int p2, int p3, int p4) const;
/// Return the number of elements currently stored in the HashTable.
int Size() const { return Base::Size() - unused.Size(); }
@@ -113,12 +113,9 @@ public:
/** Its id will be reused by newly added items. */
void Delete(int id);
/// Remove all items.
void DeleteAll();
/// Make an item hashed under different parent IDs.
void Reparent(int id, int new_p1, int new_p2);
void Reparent(int id, int new_p1, int new_p2, int new_p3, int new_p4 = -1);
void Reparent(int id, int new_p1, int new_p2, int new_p3, int new_p4);
/// Return total size of allocated memory (tables plus items), in bytes.
long MemoryUsage() const;
@@ -249,18 +246,6 @@ inline void sort4(int &a, int &b, int &c, int &d)
sort3(b, c, d);
}
inline void sort4_ext(int &a, int &b, int &c, int &d)
{
if (d < 0) // support optional last index
{
sort3(a, b, c);
}
else
{
sort4(a, b, c, d);
}
}
} // internal
template<typename T>
@@ -310,7 +295,7 @@ template<typename T>
int HashTable<T>::GetId(int p1, int p2, int p3, int p4)
{
// search for the item in the hashtable
internal::sort4_ext(p1, p2, p3, p4);
internal::sort4(p1, p2, p3, p4);
int idx = Hash(p1, p2, p3);
int id = SearchList(table[idx], p1, p2, p3);
if (id >= 0) { return id; }
@@ -376,7 +361,7 @@ int HashTable<T>::FindId(int p1, int p2) const
template<typename T>
int HashTable<T>::FindId(int p1, int p2, int p3, int p4) const
{
internal::sort4_ext(p1, p2, p3, p4);
internal::sort4(p1, p2, p3, p4);
return SearchList(table[Hash(p1, p2, p3)], p1, p2, p3);
}
@@ -474,14 +459,6 @@ void HashTable<T>::Delete(int id)
unused.Append(id); // add its id to the unused ids
}
template<typename T>
void HashTable<T>::DeleteAll()
{
Base::DeleteAll();
for (int i = 0; i <= mask; i++) { table[i] = -1; }
unused.DeleteAll();
}
template<typename T>
void HashTable<T>::Reparent(int id, int new_p1, int new_p2)
{
@@ -504,7 +481,7 @@ void HashTable<T>::Reparent(int id,
T& item = Base::At(id);
Unlink(Hash(item), id);
internal::sort4_ext(new_p1, new_p2, new_p3, new_p4);
internal::sort4(new_p1, new_p2, new_p3, new_p4);
item.p1 = new_p1;
item.p2 = new_p2;
item.p3 = new_p3;
-133
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@@ -1,133 +0,0 @@
// Copyright (c) 2010, Lawrence Livermore National Security, LLC. Produced at
// the Lawrence Livermore National Laboratory. LLNL-CODE-443211. All Rights
// reserved. See file COPYRIGHT for details.
//
// This file is part of the MFEM library. For more information and source code
// availability see http://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License (as published by the Free
// Software Foundation) version 2.1 dated February 1999.
#include "hip.hpp"
#include "globals.hpp"
namespace mfem
{
// Internal debug option, useful for tracking HIP allocations, deallocations
// and transfers.
// #define MFEM_TRACK_HIP_MEM
#ifdef MFEM_USE_HIP
void mfem_hip_error(hipError_t err, const char *expr, const char *func,
const char *file, int line)
{
mfem::err << "\n\nHIP error: (" << expr << ") failed with error:\n --> "
<< hipGetErrorString(err)
<< "\n ... in function: " << func
<< "\n ... in file: " << file << ':' << line << '\n';
mfem_error();
}
#endif
void* HipMemAlloc(void** dptr, size_t bytes)
{
#ifdef MFEM_USE_HIP
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "HipMemAlloc(): allocating " << bytes << " bytes ... "
<< std::flush;
#endif
MFEM_GPU_CHECK(hipMalloc(dptr, bytes));
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "done: " << *dptr << std::endl;
#endif
#endif
return *dptr;
}
void* HipMemFree(void *dptr)
{
#ifdef MFEM_USE_HIP
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "HipMemFree(): deallocating memory @ " << dptr << " ... "
<< std::flush;
#endif
MFEM_GPU_CHECK(hipFree(dptr));
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "done." << std::endl;
#endif
#endif
return dptr;
}
void* HipMemcpyHtoD(void* dst, const void* src, size_t bytes)
{
#ifdef MFEM_USE_HIP
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "HipMemcpyHtoD(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(hipMemcpy(dst, src, bytes, hipMemcpyHostToDevice));
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "done." << std::endl;
#endif
#endif
return dst;
}
void* HipMemcpyHtoDAsync(void* dst, const void* src, size_t bytes)
{
#ifdef MFEM_USE_HIP
MFEM_GPU_CHECK(hipMemcpyAsync(dst, src, bytes, hipMemcpyHostToDevice));
#endif
return dst;
}
void* HipMemcpyDtoD(void *dst, const void *src, size_t bytes)
{
#ifdef MFEM_USE_HIP
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "HipMemcpyDtoD(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(hipMemcpy(dst, src, bytes, hipMemcpyDeviceToDevice));
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "done." << std::endl;
#endif
#endif
return dst;
}
void* HipMemcpyDtoDAsync(void* dst, const void *src, size_t bytes)
{
#ifdef MFEM_USE_HIP
MFEM_GPU_CHECK(hipMemcpyAsync(dst, src, bytes, hipMemcpyDeviceToDevice));
#endif
return dst;
}
void* HipMemcpyDtoH(void *dst, const void *src, size_t bytes)
{
#ifdef MFEM_USE_HIP
#ifdef MFEM_TRACK_HPI_MEM
mfem::out << "HipMemcpyDtoH(): copying " << bytes << " bytes from "
<< src << " to " << dst << " ... " << std::flush;
#endif
MFEM_GPU_CHECK(hipMemcpy(dst, src, bytes, hipMemcpyDeviceToHost));
#ifdef MFEM_TRACK_HIP_MEM
mfem::out << "done." << std::endl;
#endif
#endif
return dst;
}
void* HipMemcpyDtoHAsync(void *dst, const void *src, size_t bytes)
{
#ifdef MFEM_USE_HIP
MFEM_GPU_CHECK(hipMemcpyAsync(dst, src, bytes, hipMemcpyDeviceToHost));
#endif
return dst;
}
} // namespace mfem
-85
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@@ -1,85 +0,0 @@
// Copyright (c) 2010, Lawrence Livermore National Security, LLC. Produced at
// the Lawrence Livermore National Laboratory. LLNL-CODE-443211. All Rights
// reserved. See file COPYRIGHT for details.
//
// This file is part of the MFEM library. For more information and source code
// availability see http://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License (as published by the Free
// Software Foundation) version 2.1 dated February 1999.
#ifndef MFEM_HIP_HPP
#define MFEM_HIP_HPP
#include "../config/config.hpp"
#include "error.hpp"
#ifdef MFEM_USE_HIP
#include <hip/hip_runtime.h>
#endif
// HIP block size used by MFEM.
#define MFEM_HIP_BLOCKS 256
#ifdef MFEM_USE_HIP
// Define a HIP error check macro, MFEM_GPU_CHECK(x), where x returns/is of
// type 'hipError_t'. This macro evaluates 'x' and raises an error if the
// result is not hipSuccess.
#define MFEM_GPU_CHECK(x) \
do \
{ \
hipError_t err = (x); \
if (err != hipSuccess) \
{ \
mfem_hip_error(err, #x, _MFEM_FUNC_NAME, __FILE__, __LINE__); \
} \
} \
while (0)
#endif // MFEM_USE_HIP
// Define the MFEM inner threading macros
#if defined(MFEM_USE_HIP) && defined(__ROCM_ARCH__)
#define MFEM_SHARED __shared__
#define MFEM_SYNC_THREAD __syncthreads()
#define MFEM_THREAD_ID(k) hipThreadIdx_ ##k
#define MFEM_THREAD_SIZE(k) hipBlockDim_ ##k
#define MFEM_FOREACH_THREAD(i,k,N) for(int i=hipThreadIdx_ ##k; i<N; i+=hipBlockDim_ ##k)
#endif
namespace mfem
{
#ifdef MFEM_USE_HIP
// Function used by the macro MFEM_GPU_CHECK.
void mfem_hip_error(hipError_t err, const char *expr, const char *func,
const char *file, int line);
#endif
/// Allocates device memory
void* HipMemAlloc(void **d_ptr, size_t bytes);
/// Frees device memory
void* HipMemFree(void *d_ptr);
/// Copies memory from Host to Device
void* HipMemcpyHtoD(void *d_dst, const void *h_src, size_t bytes);
/// Copies memory from Host to Device
void* HipMemcpyHtoDAsync(void *d_dst, const void *h_src, size_t bytes);
/// Copies memory from Device to Device
void* HipMemcpyDtoD(void *d_dst, const void *d_src, size_t bytes);
/// Copies memory from Device to Device
void* HipMemcpyDtoDAsync(void *d_dst, const void *d_src, size_t bytes);
/// Copies memory from Device to Host
void* HipMemcpyDtoH(void *h_dst, const void *d_src, size_t bytes);
/// Copies memory from Device to Host
void* HipMemcpyDtoHAsync(void *h_dst, const void *d_src, size_t bytes);
} // namespace mfem
#endif // MFEM_HIP_HPP
+208 -563
View File
@@ -15,48 +15,10 @@
#include <list>
#include <unordered_map>
#include <algorithm> // std::max
namespace mfem
{
#ifdef MFEM_USE_HIP
#define MFEM_GPU(...) Hip ## __VA_ARGS__
#else
#define MFEM_GPU(...) Cu ## __VA_ARGS__
#endif
MemoryType GetMemoryType(MemoryClass mc)
{
switch (mc)
{
case MemoryClass::HOST: return MemoryType::HOST;
case MemoryClass::HOST_32: return MemoryType::HOST_32;
case MemoryClass::HOST_64: return MemoryType::HOST_64;
case MemoryClass::CUDA: return MemoryType::CUDA;
case MemoryClass::CUDA_UVM: return MemoryType::CUDA_UVM;
}
return MemoryType::HOST;
}
MemoryClass operator*(MemoryClass mc1, MemoryClass mc2)
{
// | HOST HOST_32 HOST_64 CUDA CUDA_UVM
// ---------+--------------------------------------------------
// HOST | HOST HOST_32 HOST_64 CUDA CUDA_UVM
// HOST_32 | HOST_32 HOST_32 HOST_64 CUDA CUDA_UVM
// HOST_64 | HOST_64 HOST_64 HOST_64 CUDA CUDA_UVM
// CUDA | CUDA CUDA CUDA CUDA CUDA_UVM
// CUDA_UVM | CUDA_UVM CUDA_UVM CUDA_UVM CUDA_UVM CUDA_UVM
// Using the enumeration ordering:
// HOST < HOST_32 < HOST_64 < CUDA < CUDA_UVM,
// the above table is simply: a*b = max(a,b).
return std::max(mc1, mc2);
}
namespace internal
{
@@ -66,15 +28,17 @@ struct Alias;
/// Memory class that holds:
/// - a boolean telling which memory space is being used
/// - the size in bytes of this memory region,
/// - the host and the device pointer.
/// - the host and the device pointer,
/// - a list of all aliases seen using this region (used only to free them).
struct Memory
{
bool host;
const std::size_t bytes;
void *const h_ptr;
void *d_ptr;
std::list<const void*> aliases;
Memory(void* const h, const std::size_t size):
host(true), bytes(size), h_ptr(h), d_ptr(nullptr) {}
host(true), bytes(size), h_ptr(h), d_ptr(nullptr), aliases() {}
};
/// Alias class that holds the base memory region and the offset
@@ -82,13 +46,10 @@ struct Alias
{
Memory *const mem;
const long offset;
unsigned long counter;
};
typedef std::unordered_map<const void*, Memory> MemoryMap;
// TODO: use 'Alias' or 'const Alias' as the mapped type in the AliasMap instead
// of 'Alias*'
typedef std::unordered_map<const void*, Alias*> AliasMap;
typedef std::unordered_map<const void*, const Alias*> AliasMap;
struct Ledger
{
@@ -103,213 +64,269 @@ static internal::Ledger *maps;
MemoryManager::MemoryManager()
{
exists = true;
enabled = true;
maps = new internal::Ledger();
}
MemoryManager::~MemoryManager()
{
if (exists) { Destroy(); }
}
void MemoryManager::Destroy()
{
MFEM_VERIFY(exists, "MemoryManager has been destroyed already!");
for (auto& n : maps->memories)
{
internal::Memory &mem = n.second;
if (mem.d_ptr) { MFEM_GPU(MemFree)(mem.d_ptr); }
}
for (auto& n : maps->aliases)
{
delete n.second;
}
delete maps;
exists = false;
}
void* MemoryManager::Insert(void *ptr, const std::size_t bytes)
{
if (ptr == NULL)
{
MFEM_VERIFY(bytes == 0, "Trying to add NULL with size " << bytes);
return NULL;
}
auto res = maps->memories.emplace(ptr, internal::Memory(ptr, bytes));
if (res.second == false)
if (!UsingMM()) { return ptr; }
const bool known = IsKnown(ptr);
if (known)
{
mfem_error("Trying to add an already present address!");
}
maps->memories.emplace(ptr, internal::Memory(ptr, bytes));
return ptr;
}
void MemoryManager::InsertDevice(void *ptr, void *h_ptr, size_t bytes)
{
MFEM_VERIFY(ptr != NULL, "cannot register NULL device pointer");
MFEM_VERIFY(h_ptr != NULL, "internal error");
auto res = maps->memories.emplace(h_ptr, internal::Memory(h_ptr, bytes));
if (res.second == false)
{
mfem_error("Trying to add an already present address!");
}
res.first->second.d_ptr = ptr;
}
void *MemoryManager::Erase(void *ptr, bool free_dev_ptr)
void *MemoryManager::Erase(void *ptr)
{
if (!UsingMM()) { return ptr; }
if (!ptr) { return ptr; }
auto mem_map_iter = maps->memories.find(ptr);
if (mem_map_iter == maps->memories.end())
const bool known = IsKnown(ptr);
if (!known)
{
mfem_error("Trying to erase an unknown pointer!");
}
internal::Memory &mem = mem_map_iter->second;
if (mem.d_ptr && free_dev_ptr) { MFEM_GPU(MemFree)(mem.d_ptr); }
maps->memories.erase(mem_map_iter);
internal::Memory &mem = maps->memories.at(ptr);
if (mem.d_ptr) { CuMemFree(mem.d_ptr); }
for (const void *alias : mem.aliases)
{
maps->aliases.erase(maps->aliases.find(alias));
}
mem.aliases.clear();
maps->memories.erase(maps->memories.find(ptr));
return ptr;
}
void MemoryManager::SetHostDevicePtr(void *h_ptr, void *d_ptr, const bool host)
{
internal::Memory &base = maps->memories.at(h_ptr);
base.d_ptr = d_ptr;
base.host = host;
}
bool MemoryManager::IsKnown(const void *ptr)
{
return maps->memories.find(ptr) != maps->memories.end();
}
void *MemoryManager::GetDevicePtr(const void *ptr, size_t bytes, bool copy_data)
bool MemoryManager::IsOnHost(const void *ptr)
{
return maps->memories.at(ptr).host;
}
std::size_t MemoryManager::Bytes(const void *ptr)
{
return maps->memories.at(ptr).bytes;
}
void *MemoryManager::GetDevicePtr(const void *ptr)
{
if (!ptr)
{
MFEM_VERIFY(bytes == 0, "Trying to access NULL with size " << bytes);
return NULL;
}
internal::Memory &base = maps->memories.at(ptr);
const size_t bytes = base.bytes;
if (!base.d_ptr)
{
MFEM_GPU(MemAlloc)(&base.d_ptr, base.bytes);
}
if (copy_data)
{
MFEM_ASSERT(bytes <= base.bytes, "invalid copy size");
MFEM_GPU(MemcpyHtoD)(base.d_ptr, ptr, bytes);
CuMemAlloc(&base.d_ptr, bytes);
CuMemcpyHtoD(base.d_ptr, ptr, bytes);
base.host = false;
}
return base.d_ptr;
}
void MemoryManager::InsertAlias(const void *base_ptr, void *alias_ptr,
bool base_is_alias)
// Looks if ptr is an alias of one memory
static const void* AliasBaseMemory(const internal::Ledger *maps,
const void *ptr)
{
long offset = static_cast<const char*>(alias_ptr) -
static_cast<const char*>(base_ptr);
if (!base_ptr)
for (internal::MemoryMap::const_iterator mem = maps->memories.begin();
mem != maps->memories.end(); mem++)
{
MFEM_VERIFY(offset == 0,
"Trying to add alias to NULL at offset " << offset);
return;
}
if (base_is_alias)
{
const internal::Alias *alias = maps->aliases.at(base_ptr);
base_ptr = alias->mem->h_ptr;
offset += alias->offset;
}
internal::Memory &mem = maps->memories.at(base_ptr);
auto res = maps->aliases.emplace(alias_ptr, nullptr);
if (res.second == false) // alias_ptr was already in the map
{
if (res.first->second->mem != &mem || res.first->second->offset != offset)
{
mfem_error("alias already exists with different base/offset!");
}
else
{
res.first->second->counter++;
}
}
else
{
res.first->second = new internal::Alias{&mem, offset, 1};
const void *b_ptr = mem->first;
if (b_ptr > ptr) { continue; }
const void *end = static_cast<const char*>(b_ptr) + mem->second.bytes;
if (ptr < end) { return b_ptr; }
}
return nullptr;
}
void MemoryManager::EraseAlias(void *alias_ptr)
bool MemoryManager::IsAlias(const void *ptr)
{
if (!alias_ptr) { return; }
auto alias_map_iter = maps->aliases.find(alias_ptr);
if (alias_map_iter == maps->aliases.end())
{
mfem_error("alias not found");
}
internal::Alias *alias = alias_map_iter->second;
if (--alias->counter) { return; }
// erase the alias from the alias map:
maps->aliases.erase(alias_map_iter);
delete alias;
const internal::AliasMap::const_iterator found = maps->aliases.find(ptr);
if (found != maps->aliases.end()) { return true; }
MFEM_ASSERT(!IsKnown(ptr), "Ptr is an already known address!");
const void *base = AliasBaseMemory(maps, ptr);
if (!base) { return false; }
internal::Memory &mem = maps->memories.at(base);
const long offset = static_cast<const char*>(ptr) -
static_cast<const char*> (base);
const internal::Alias *alias = new internal::Alias{&mem, offset};
maps->aliases.emplace(ptr, alias);
mem.aliases.push_back(ptr);
return true;
}
void *MemoryManager::GetAliasDevicePtr(const void *alias_ptr, size_t bytes,
bool copy_data)
static inline bool MmDeviceIniFilter(void)
{
if (!alias_ptr)
{
MFEM_VERIFY(bytes == 0, "Trying to access NULL with size " << bytes);
return NULL;
}
auto &alias_map = maps->aliases;
auto alias_map_iter = alias_map.find(alias_ptr);
if (alias_map_iter == alias_map.end())
{
mfem_error("alias not found");
}
const internal::Alias *alias = alias_map_iter->second;
internal::Memory &base = *alias->mem;
MFEM_ASSERT((char*)base.h_ptr + alias->offset == alias_ptr,
"internal error");
if (!base.d_ptr)
{
MFEM_GPU(MemAlloc)(&base.d_ptr, base.bytes);
}
if (copy_data)
{
MFEM_GPU(MemcpyHtoD)((char*)base.d_ptr + alias->offset, alias_ptr, bytes);
base.host = false;
}
return (char*)base.d_ptr + alias->offset;
if (!mm.UsingMM()) { return true; }
if (!mm.IsEnabled()) { return true; }
if (!Device::IsAvailable()) { return true; }
if (!Device::IsConfigured()) { return true; }
return false;
}
static void PullKnown(internal::Ledger *maps,
const void *ptr, const std::size_t bytes, bool copy_data)
// Turn a known address into the right host or device address. Alloc, Push, or
// Pull it if necessary.
static void *PtrKnown(internal::Ledger *maps, void *ptr)
{
internal::Memory &base = maps->memories.at(ptr);
MFEM_ASSERT(base.h_ptr == ptr, "internal error");
// There are cases where it is OK if base.d_ptr is not allocated yet:
// for example, when requesting read-write access on host to memory created
// as device memory.
if (copy_data && base.d_ptr)
const bool ptr_on_host = base.host;
const std::size_t bytes = base.bytes;
const bool run_on_device = Device::Allows(Backend::DEVICE_MASK);
if (ptr_on_host && !run_on_device) { return ptr; }
if (bytes==0) { mfem_error("PtrKnown bytes==0"); }
if (!base.d_ptr) { CuMemAlloc(&base.d_ptr, bytes); }
if (!base.d_ptr) { mfem_error("PtrKnown !base->d_ptr"); }
if (!ptr_on_host && run_on_device) { return base.d_ptr; }
if (!ptr) { mfem_error("PtrKnown !ptr"); }
if (!ptr_on_host && !run_on_device) // Pull
{
MFEM_GPU(MemcpyDtoH)(base.h_ptr, base.d_ptr, bytes);
CuMemcpyDtoH(ptr, base.d_ptr, bytes);
base.host = true;
return ptr;
}
// Push
if (!(ptr_on_host && run_on_device)) { mfem_error("PtrKnown !(host && gpu)"); }
CuMemcpyHtoD(base.d_ptr, ptr, bytes);
base.host = false;
return base.d_ptr;
}
// Turn an alias into the right host or device address. Alloc, Push, or Pull it
// if necessary.
static void *PtrAlias(internal::Ledger *maps, void *ptr)
{
const bool gpu = Device::Allows(Backend::DEVICE_MASK);
const internal::Alias *alias = maps->aliases.at(ptr);
const internal::Memory *base = alias->mem;
const bool host = base->host;
const bool device = !base->host;
const std::size_t bytes = base->bytes;
if (host && !gpu) { return ptr; }
if (bytes==0) { mfem_error("PtrAlias bytes==0"); }
if (!base->d_ptr) { CuMemAlloc(&(alias->mem->d_ptr), bytes); }
if (!base->d_ptr) { mfem_error("PtrAlias !base->d_ptr"); }
void *a_ptr = static_cast<char*>(base->d_ptr) + alias->offset;
if (device && gpu) { return a_ptr; }
if (!base->h_ptr) { mfem_error("PtrAlias !base->h_ptr"); }
if (device && !gpu) // Pull
{
CuMemcpyDtoH(base->h_ptr, base->d_ptr, bytes);
alias->mem->host = true;
return ptr;
}
// Push
if (!(host && gpu)) { mfem_error("PtrAlias !(host && gpu)"); }
CuMemcpyHtoD(base->d_ptr, base->h_ptr, bytes);
alias->mem->host = false;
return a_ptr;
}
void *MemoryManager::Ptr(void *ptr)
{
if (ptr==NULL) { return NULL; };
if (MmDeviceIniFilter()) { return ptr; }
if (IsKnown(ptr)) { return PtrKnown(maps, ptr); }
if (IsAlias(ptr)) { return PtrAlias(maps, ptr); }
if (Device::Allows(Backend::DEVICE_MASK))
{
mfem_error("Trying to use unknown pointer on the DEVICE!");
}
return ptr;
}
const void *MemoryManager::Ptr(const void *ptr)
{
return static_cast<const void*>(Ptr(const_cast<void*>(ptr)));
}
static void PushKnown(internal::Ledger *maps,
const void *ptr, const std::size_t bytes)
{
internal::Memory &base = maps->memories.at(ptr);
if (!base.d_ptr) { CuMemAlloc(&base.d_ptr, base.bytes); }
CuMemcpyHtoD(base.d_ptr, ptr, bytes == 0 ? base.bytes : bytes);
}
static void PushAlias(const internal::Ledger *maps,
const void *ptr, const std::size_t bytes)
{
const internal::Alias *alias = maps->aliases.at(ptr);
void *dst = static_cast<char*>(alias->mem->d_ptr) + alias->offset;
CuMemcpyHtoD(dst, ptr, bytes);
}
void MemoryManager::Push(const void *ptr, const std::size_t bytes)
{
if (MmDeviceIniFilter()) { return; }
if (IsKnown(ptr)) { return PushKnown(maps, ptr, bytes); }
if (IsAlias(ptr)) { return PushAlias(maps, ptr, bytes); }
if (Device::Allows(Backend::DEVICE_MASK))
{ mfem_error("Unknown pointer to push to!"); }
}
static void PullKnown(const internal::Ledger *maps,
const void *ptr, const std::size_t bytes)
{
const internal::Memory &base = maps->memories.at(ptr);
const bool host = base.host;
if (host) { return; }
CuMemcpyDtoH(base.h_ptr, base.d_ptr, bytes == 0 ? base.bytes : bytes);
}
static void PullAlias(const internal::Ledger *maps,
const void *ptr, const std::size_t bytes, bool copy_data)
const void *ptr, const std::size_t bytes)
{
const internal::Alias *alias = maps->aliases.at(ptr);
MFEM_ASSERT((char*)alias->mem->h_ptr + alias->offset == ptr,
"internal error");
// There are cases where it is OK if alias->mem->d_ptr is not allocated yet:
// for example, when requesting read-write access on host to memory created
// as device memory.
if (copy_data && alias->mem->d_ptr)
{
MFEM_GPU(MemcpyDtoH)(const_cast<void*>(ptr),
static_cast<char*>(alias->mem->d_ptr) + alias->offset,
bytes);
}
const bool host = alias->mem->host;
if (host) { return; }
if (!ptr) { mfem_error("PullAlias !ptr"); }
if (!alias->mem->d_ptr) { mfem_error("PullAlias !alias->mem->d_ptr"); }
CuMemcpyDtoH(const_cast<void*>(ptr),
static_cast<char*>(alias->mem->d_ptr) + alias->offset,
bytes);
}
void MemoryManager::Pull(const void *ptr, const std::size_t bytes)
{
if (MmDeviceIniFilter()) { return; }
if (IsKnown(ptr)) { return PullKnown(maps, ptr, bytes); }
if (IsAlias(ptr)) { return PullAlias(maps, ptr, bytes); }
if (Device::Allows(Backend::DEVICE_MASK))
{ mfem_error("Unknown pointer to pull from!"); }
}
void* MemoryManager::Memcpy(void *dst, const void *src,
const std::size_t bytes, const bool async)
{
void *d_dst = Ptr(dst);
void *d_src = const_cast<void*>(Ptr(src));
if (bytes == 0) { return dst; }
const bool run_on_host = !Device::Allows(Backend::DEVICE_MASK);
if (run_on_host) { return std::memcpy(dst, src, bytes); }
if (!async) { return CuMemcpyDtoD(d_dst, d_src, bytes); }
return CuMemcpyDtoDAsync(d_dst, d_src, bytes);
}
void MemoryManager::RegisterCheck(void *ptr)
{
if (ptr != NULL)
if (ptr != NULL && UsingMM())
{
if (!IsKnown(ptr))
{
@@ -329,389 +346,17 @@ void MemoryManager::PrintPtrs(void)
<< "h_ptr " << mem.h_ptr << ", "
<< "d_ptr " << mem.d_ptr;
}
mfem::out << std::endl;
}
// Static private MemoryManager methods used by class Memory
void *MemoryManager::New_(void *h_ptr, std::size_t size, MemoryType mt,
unsigned &flags)
void MemoryManager::GetAll(void)
{
// TODO: save the types of the pointers ...
flags = Mem::REGISTERED | Mem::OWNS_INTERNAL;
switch (mt)
for (const auto& n : maps->memories)
{
case MemoryType::HOST: return nullptr; // case is handled outside
case MemoryType::HOST_32:
case MemoryType::HOST_64:
mfem_error("New_(): aligned host types are not implemented yet");
return nullptr;
case MemoryType::CUDA:
mm.Insert(h_ptr, size);
flags = flags | Mem::OWNS_HOST | Mem::OWNS_DEVICE | Mem::VALID_DEVICE;
return h_ptr;
case MemoryType::CUDA_UVM:
mfem_error("New_(): CUDA UVM allocation is not implemented yet");
return nullptr;
}
return nullptr;
}
void *MemoryManager::Register_(void *ptr, void *h_ptr, std::size_t capacity,
MemoryType mt, bool own, bool alias,
unsigned &flags)
{
// TODO: save the type of the registered pointer ...
MFEM_VERIFY(alias == false, "cannot register an alias!");
flags = flags | (Mem::REGISTERED | Mem::OWNS_INTERNAL);
if (IsHostMemory(mt))
{
mm.Insert(ptr, capacity);
flags = (own ? flags | Mem::OWNS_HOST : flags & ~Mem::OWNS_HOST) |
Mem::OWNS_DEVICE | Mem::VALID_HOST;
return ptr;
}
MFEM_VERIFY(mt == MemoryType::CUDA, "Only CUDA pointers are supported");
mm.InsertDevice(ptr, h_ptr, capacity);
flags = (own ? flags | Mem::OWNS_DEVICE : flags & ~Mem::OWNS_DEVICE) |
Mem::OWNS_HOST | Mem::VALID_DEVICE;
return h_ptr;
}
void MemoryManager::Alias_(void *base_h_ptr, std::size_t offset,
std::size_t size, unsigned base_flags,
unsigned &flags)
{
// TODO: store the 'size' in the MemoryManager?
mm.InsertAlias(base_h_ptr, (char*)base_h_ptr + offset,
base_flags & Mem::ALIAS);
flags = (base_flags | Mem::ALIAS | Mem::OWNS_INTERNAL) &
~(Mem::OWNS_HOST | Mem::OWNS_DEVICE);
}
MemoryType MemoryManager::Delete_(void *h_ptr, unsigned flags)
{
// TODO: this logic needs to be updated when support for HOST_32 and HOST_64
// memory types is added.
MFEM_ASSERT(!(flags & Mem::OWNS_DEVICE) || (flags & Mem::OWNS_INTERNAL),
"invalid Memory state");
if (mm.exists && (flags & Mem::OWNS_INTERNAL))
{
if (flags & Mem::ALIAS)
{
mm.EraseAlias(h_ptr);
}
else
{
mm.Erase(h_ptr, flags & Mem::OWNS_DEVICE);
}
}
return MemoryType::HOST;
}
void *MemoryManager::ReadWrite_(void *h_ptr, MemoryClass mc,
std::size_t size, unsigned &flags)
{
switch (mc)
{
case MemoryClass::HOST:
if (!(flags & Mem::VALID_HOST))
{
if (flags & Mem::ALIAS) { PullAlias(maps, h_ptr, size, true); }
else { PullKnown(maps, h_ptr, size, true); }
}
flags = (flags | Mem::VALID_HOST) & ~Mem::VALID_DEVICE;
return h_ptr;
case MemoryClass::HOST_32:
// TODO: check that the host pointer is MemoryType::HOST_32 or
// MemoryType::HOST_64
return h_ptr;
case MemoryClass::HOST_64:
// TODO: check that the host pointer is MemoryType::HOST_64
return h_ptr;
case MemoryClass::CUDA:
{
// TODO: check that the device pointer is MemoryType::CUDA or
// MemoryType::CUDA_UVM
const bool need_copy = !(flags & Mem::VALID_DEVICE);
flags = (flags | Mem::VALID_DEVICE) & ~Mem::VALID_HOST;
// TODO: add support for UVM
if (flags & Mem::ALIAS)
{
return mm.GetAliasDevicePtr(h_ptr, size, need_copy);
}
return mm.GetDevicePtr(h_ptr, size, need_copy);
}
case MemoryClass::CUDA_UVM:
// TODO: check that the host+device pointers are MemoryType::CUDA_UVM
// Do we need to update the validity flags?
return h_ptr; // the host and device pointers are the same
}
return nullptr;
}
const void *MemoryManager::Read_(void *h_ptr, MemoryClass mc,
std::size_t size, unsigned &flags)
{
switch (mc)
{
case MemoryClass::HOST:
if (!(flags & Mem::VALID_HOST))
{
if (flags & Mem::ALIAS) { PullAlias(maps, h_ptr, size, true); }
else { PullKnown(maps, h_ptr, size, true); }
}
flags = flags | Mem::VALID_HOST;
return h_ptr;
case MemoryClass::HOST_32:
// TODO: check that the host pointer is MemoryType::HOST_32 or
// MemoryType::HOST_64
return h_ptr;
case MemoryClass::HOST_64:
// TODO: check that the host pointer is MemoryType::HOST_64
return h_ptr;
case MemoryClass::CUDA:
{
// TODO: check that the device pointer is MemoryType::CUDA or
// MemoryType::CUDA_UVM
const bool need_copy = !(flags & Mem::VALID_DEVICE);
flags = flags | Mem::VALID_DEVICE;
// TODO: add support for UVM
if (flags & Mem::ALIAS)
{
return mm.GetAliasDevicePtr(h_ptr, size, need_copy);
}
return mm.GetDevicePtr(h_ptr, size, need_copy);
}
case MemoryClass::CUDA_UVM:
// TODO: check that the host+device pointers are MemoryType::CUDA_UVM
// Do we need to update the validity flags?
return h_ptr; // the host and device pointers are the same
}
return nullptr;
}
void *MemoryManager::Write_(void *h_ptr, MemoryClass mc, std::size_t size,
unsigned &flags)
{
switch (mc)
{
case MemoryClass::HOST:
flags = (flags | Mem::VALID_HOST) & ~Mem::VALID_DEVICE;
return h_ptr;
case MemoryClass::HOST_32:
// TODO: check that the host pointer is MemoryType::HOST_32 or
// MemoryType::HOST_64
flags = (flags | Mem::VALID_HOST) & ~Mem::VALID_DEVICE;
return h_ptr;
case MemoryClass::HOST_64:
// TODO: check that the host pointer is MemoryType::HOST_64
flags = (flags | Mem::VALID_HOST) & ~Mem::VALID_DEVICE;
return h_ptr;
case MemoryClass::CUDA:
// TODO: check that the device pointer is MemoryType::CUDA or
// MemoryType::CUDA_UVM
flags = (flags | Mem::VALID_DEVICE) & ~Mem::VALID_HOST;
// TODO: add support for UVM
if (flags & Mem::ALIAS)
{
return mm.GetAliasDevicePtr(h_ptr, size, false);
}
return mm.GetDevicePtr(h_ptr, size, false);
case MemoryClass::CUDA_UVM:
// TODO: check that the host+device pointers are MemoryType::CUDA_UVM
// Do we need to update the validity flags?
return h_ptr; // the host and device pointers are the same
}
return nullptr;
}
void MemoryManager::SyncAlias_(const void *base_h_ptr, void *alias_h_ptr,
size_t alias_size, unsigned base_flags,
unsigned &alias_flags)
{
// This is called only when (base_flags & Mem::REGISTERED) is true.
// Note that (alias_flags & REGISTERED) may not be true.
MFEM_ASSERT(alias_flags & Mem::ALIAS, "not an alias");
if ((base_flags & Mem::VALID_HOST) && !(alias_flags & Mem::VALID_HOST))
{
PullAlias(maps, alias_h_ptr, alias_size, true);
}
if ((base_flags & Mem::VALID_DEVICE) && !(alias_flags & Mem::VALID_DEVICE))
{
if (!(alias_flags & Mem::REGISTERED))
{
mm.InsertAlias(base_h_ptr, alias_h_ptr, base_flags & Mem::ALIAS);
alias_flags = (alias_flags | Mem::REGISTERED | Mem::OWNS_INTERNAL) &
~(Mem::OWNS_HOST | Mem::OWNS_DEVICE);
}
mm.GetAliasDevicePtr(alias_h_ptr, alias_size, true);
}
alias_flags = (alias_flags & ~(Mem::VALID_HOST | Mem::VALID_DEVICE)) |
(base_flags & (Mem::VALID_HOST | Mem::VALID_DEVICE));
}
MemoryType MemoryManager::GetMemoryType_(void *h_ptr, unsigned flags)
{
// TODO: support other memory types
if (flags & Mem::VALID_DEVICE) { return MemoryType::CUDA; }
return MemoryType::HOST;
}
void MemoryManager::Copy_(void *dest_h_ptr, const void *src_h_ptr,
std::size_t size, unsigned src_flags,
unsigned &dest_flags)
{
// Type of copy to use based on the src and dest validity flags:
// | src
// | h | d | hd
// -----------+-----+-----+------
// h | h2h d2h h2h
// dest d | h2d d2d d2d
// hd | h2h d2d d2d
const bool src_on_host =
(src_flags & Mem::VALID_HOST) &&
(!(src_flags & Mem::VALID_DEVICE) ||
((dest_flags & Mem::VALID_HOST) && !(dest_flags & Mem::VALID_DEVICE)));
const bool dest_on_host =
(dest_flags & Mem::VALID_HOST) &&
(!(dest_flags & Mem::VALID_DEVICE) ||
((src_flags & Mem::VALID_HOST) && !(src_flags & Mem::VALID_DEVICE)));
const void *src_d_ptr = src_on_host ? NULL :
((src_flags & Mem::ALIAS) ?
mm.GetAliasDevicePtr(src_h_ptr, size, false) :
mm.GetDevicePtr(src_h_ptr, size, false));
if (dest_on_host)
{
if (src_on_host)
{
if (dest_h_ptr != src_h_ptr && size != 0)
{
MFEM_ASSERT((char*)dest_h_ptr + size <= src_h_ptr ||
(char*)src_h_ptr + size <= dest_h_ptr,
"data overlaps!");
std::memcpy(dest_h_ptr, src_h_ptr, size);
}
}
else
{
MFEM_GPU(MemcpyDtoH)(dest_h_ptr, src_d_ptr, size);
}
}
else
{
void *dest_d_ptr = (dest_flags & Mem::ALIAS) ?
mm.GetAliasDevicePtr(dest_h_ptr, size, false) :
mm.GetDevicePtr(dest_h_ptr, size, false);
if (src_on_host)
{
MFEM_GPU(MemcpyHtoD)(dest_d_ptr, src_h_ptr, size);
}
else
{
MFEM_GPU(MemcpyDtoD)(dest_d_ptr, src_d_ptr, size);
}
}
dest_flags = dest_flags &
~(dest_on_host ? Mem::VALID_DEVICE : Mem::VALID_HOST);
}
void MemoryManager::CopyToHost_(void *dest_h_ptr, const void *src_h_ptr,
std::size_t size, unsigned src_flags)
{
const bool src_on_host = src_flags & Mem::VALID_HOST;
if (src_on_host)
{
if (dest_h_ptr != src_h_ptr && size != 0)
{
MFEM_ASSERT((char*)dest_h_ptr + size <= src_h_ptr ||
(char*)src_h_ptr + size <= dest_h_ptr,
"data overlaps!");
std::memcpy(dest_h_ptr, src_h_ptr, size);
}
}
else
{
const void *src_d_ptr = (src_flags & Mem::ALIAS) ?
mm.GetAliasDevicePtr(src_h_ptr, size, false) :
mm.GetDevicePtr(src_h_ptr, size, false);
MFEM_GPU(MemcpyDtoH)(dest_h_ptr, src_d_ptr, size);
const void *ptr = n.first;
Ptr(ptr);
}
}
void MemoryManager::CopyFromHost_(void *dest_h_ptr, const void *src_h_ptr,
std::size_t size, unsigned &dest_flags)
{
const bool dest_on_host = dest_flags & Mem::VALID_HOST;
if (dest_on_host)
{
if (dest_h_ptr != src_h_ptr && size != 0)
{
MFEM_ASSERT((char*)dest_h_ptr + size <= src_h_ptr ||
(char*)src_h_ptr + size <= dest_h_ptr,
"data overlaps!");
std::memcpy(dest_h_ptr, src_h_ptr, size);
}
}
else
{
void *dest_d_ptr = (dest_flags & Mem::ALIAS) ?
mm.GetAliasDevicePtr(dest_h_ptr, size, false) :
mm.GetDevicePtr(dest_h_ptr, size, false);
MFEM_GPU(MemcpyHtoD)(dest_d_ptr, src_h_ptr, size);
}
dest_flags = dest_flags &
~(dest_on_host ? Mem::VALID_DEVICE : Mem::VALID_HOST);
}
void MemoryPrintFlags(unsigned flags)
{
typedef Memory<int> Mem;
mfem::out
<< " registered = " << bool(flags & Mem::REGISTERED)
<< "\n owns host = " << bool(flags & Mem::OWNS_HOST)
<< "\n owns device = " << bool(flags & Mem::OWNS_DEVICE)
<< "\n owns internal = " << bool(flags & Mem::OWNS_INTERNAL)
<< "\n valid host = " << bool(flags & Mem::VALID_HOST)
<< "\n valid device = " << bool(flags & Mem::VALID_DEVICE)
<< "\n alias = " << bool(flags & Mem::ALIAS)
<< "\n device flag = " << bool(flags & Mem::USE_DEVICE)
<< std::endl;
}
MemoryManager mm;
bool MemoryManager::exists = false;

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