Compare commits

..
Author SHA1 Message Date
Will Pazner 600b30c661 Add more annotations, modifying LOR solvers miniapp for benchmarking 2025-07-10 20:39:40 -07:00
Will Pazner ad9ba9d1ba Add a couple more perf function annotations 2025-07-10 15:26:57 -07:00
Will Pazner 3d2f81530a Merge remote-tracking branch 'origin/ceed-solver-bps' into ceed-bp-bps-tests 2025-07-09 09:34:29 -07:00
Veselin Dobrev 539f958a9b Fix merge issue 2025-07-09 01:01:59 -07:00
Veselin Dobrev a0b2a77b69 Merge branch 'master' into ceed-solver-bps 2025-07-09 00:50:01 -07:00
Veselin Dobrev e2292a93b8 MFEM_PERF_* annotations: added options to enable GPU-stream- and
MPI-synchronizations at the start and at the end of annotation regions. These
synchronizations can be enabled or disabled (default) in code via the new
macros: MFEM_PERF_SYNC, MFEM_PERF_SYNC_STREAM, and MFEM_PERF_SYNC_MPI; the
environment variables with the same names can be set to 0/1 to control the
synchronization as well.
2025-07-08 19:23:09 -07:00
Will Pazner 22384799dd Add some Caliper annotations 2025-07-08 10:33:22 -07:00
Veselin Dobrev a5943b33d3 Merge branch 'pbench_ceed' into ceed-bp-bps-tests 2025-07-07 18:47:16 -07:00
Veselin Dobrev 9821670831 In pbench_ceed.cpp, fix the BK* tests to use E-to-E vector action 2025-07-07 18:44:40 -07:00
Veselin Dobrev d13a8bfa22 Merge branch 'device-conf-prolongation-optim' into ceed-bp-bps-tests 2025-07-06 10:57:47 -07:00
Veselin Dobrev e38eeccc2e Merge branch 'pbench_ceed' into ceed-bp-bps-tests 2025-07-06 10:29:52 -07:00
Veselin Dobrev fce5095ba0 Merge branch 'master' into ceed-solver-bps
Resolved conflicts:
   .gitignore
   makefile
2025-07-05 14:00:06 -07:00
Veselin Dobrev 408c8e9468 Redefine MFEM_MPI_CXX_BOOL as MPI_UNSIGNED_CHAR because in some
implementations MFEM_MPI_CXX_BOOL does not work correctly.
2025-07-05 13:56:13 -07:00
Veselin Dobrev 1b56b05b8d Merge branch 'master' into pbench_ceed 2025-07-05 13:54:39 -07:00
Veselin Dobrev cc279f9ea5 Redefine MFEM_MPI_CXX_BOOL as MPI_UNSIGNED_CHAR because in some
implementations MFEM_MPI_CXX_BOOL does not work correctly.
2025-07-05 13:52:29 -07:00
Veselin Dobrev b8eb1ecec8 Small tweaks 2025-05-19 22:23:35 -07:00
Veselin Dobrev fe679e0e05 Add a parallel version of the CEED benchmarks, pbench_ceed.cpp, in
tests/benchmarks.
2025-05-13 16:31:04 -07:00
Veselin Dobrev 602e889600 Add miniapps/benchmarks/ceed-solver-bps/solver-bp to .gitignore 2025-04-20 14:48:42 -07:00
Veselin Dobrev 4a82e0112f Fix the single precision build in miniapps/benchmarks/ceed-solver-bps 2025-04-19 16:33:46 -07:00
Veselin Dobrev 198c35a314 Merge branch 'master' into ceed-solver-bps 2025-04-19 16:20:57 -07:00
Veselin Dobrev bd50b287aa Fix style 2025-04-19 16:04:55 -07:00
Veselin Dobrev 4244d97e1f Fix GPU and out-of-source builds for miniapps/benchmarks/ceed-solver-bps 2025-04-19 15:59:00 -07:00
Veselin Dobrev 75a4018d9c Initial version of the ceed-solver-bps benchmark in miniapps/benchmarks 2025-04-17 16:10:20 -07:00
Veselin Dobrev 72323aad24 Merge branch 'master' into ceed-solver-bps
Resolved conflicts:
  fem/transfer.hpp
2025-04-17 15:45:51 -07:00
Veselin Dobrev ce9f969f16 Some tweaks in class MultigridBase to avoid implicit conversions of
call parameters.

Some small optimizations in class OperatorChebyshevSmoother.
2025-04-17 15:37:54 -07:00
Veselin Dobrev 6e7718db30 Optimizations for class DeviceConformingProlongationOperator 2025-04-03 10:07:28 -07:00
Veselin Dobrev 1fe1e50598 Merge branch 'mg-smem-prolongation' into ceed-solver-bps 2025-02-20 23:26:31 -08:00
Veselin Dobrev f0e542787b Fix memory leaks in miniapps/solvers/block-solvers.cpp 2025-02-20 23:24:35 -08:00
Veselin Dobrev 9627443feb Fix uninitialized memory usage due to incorrect setting of the
iterative mode of the MINRESSolver in BDPMinresSolver in
miniapps/solvers/darcy_solver.?pp. This became an issue due to the way
MultigridBase::SmoothingStep now calls the smoothers (including the
coarse solver) -- it sets the iterative mode of the smoother to false
and calls its Mult() method without initializing the second argument.
2025-02-20 21:48:23 -08:00
Veselin Dobrev ac2252ff20 In class MultigridBase, added support for coarse solver that is
used in addition to the coarse smoother, if given.

In class OperatorChebyshevSmoother, added support for changing the
order after construction with a new method: SetOrder().

Added a few minor tweaks.
2025-02-20 17:17:03 -08:00
Veselin Dobrev 3dc1217b30 Merge branch 'solver-monitor-controller' into ceed-solver-bps 2025-02-20 13:49:14 -08:00
Veselin Dobrev 32c5af1151 Merge branch 'mg-smem-prolongation' into ceed-solver-bps 2025-02-20 13:47:10 -08:00
Veselin Dobrev f573b345ae double -> real_t 2025-02-19 18:16:53 -08:00
Veselin Dobrev 80aaf8bb0d Merge branch 'master' into mg-smem-prolongation
Resolved conflicts:
   examples/ex26.cpp
   examples/ex26p.cpp
   fem/transfer.cpp
   linalg/solvers.cpp
2025-02-19 18:11:09 -08:00
Veselin Dobrev a8ea2cf89a In MultigridBase::Cycle, fix for the case of no pre-smoothing 2024-02-09 22:28:42 -08:00
Veselin Dobrev 5768645171 In class MultigridBase:
* add support for iterative mode
* avoid unnecessary initializations with zero and residual computations
  when using W-cycle
* ensure smoothers (including the level 0 coarse solver) are used only
  with iterative mode turned off
* when using W-cycle, do not call the level 0  coarse solver twice to
  avoid calling "exact" solvers twice.
2024-02-09 21:13:02 -08:00
Veselin Dobrev c2a721cabe Bugfix: add missing allocation of OperatorChebyshevSmoother::z 2024-02-02 06:45:00 -08:00
Veselin Dobrev 343ce0c26d Fix the arguments in calls to SmemProlongationTranspose3D 2024-02-02 06:17:53 -08:00
Veselin Dobrev 5c4d341621 Fix a typo from the previous commit: 'R_[j]' -> '*R_[j]'.
Rename Operator::z to Operator::z_am to avoid confusion with the
Vectors z defined in a number of derived classes, and make it
private for reasons explained in the added doxygen comment.

Note: this commit does not seem to pass some of the unit tests.
2024-02-02 05:14:57 -08:00
Veselin Dobrev 35c9c43012 In OperatorChebyshevSmoother::Mult, for k = 0, use a single kernel
instead of 3 separate kernels.
2024-02-02 04:38:37 -08:00
Veselin Dobrev 371b091fd1 Use 'subtract' in a few places instead of the more general 'add' 2024-02-02 03:58:35 -08:00
Veselin Dobrev 1ed1ba8a71 Add optimization for OperatorJacobiSmoother::Mult from PR #1852 2024-02-02 03:41:58 -08:00
Will Pazner 2bd73092d4 Eliminate two more copies in multigrid 2024-02-01 15:26:38 -08:00
Will Pazner aeb4d508bb Remove temporaries from MultigridBase
Add temporary vector z in Operator
2024-02-01 15:26:24 -08:00
Will Pazner a58d941918 Small optimization in MultigridBase::Cycle (requires coarse solver not in iterative mode) 2024-02-01 15:16:45 -08:00
Will Pazner 60a7a9e673 Reduce copies in MultigridBase::Cycle and MultigridBase::SmoothingStep 2024-02-01 15:16:45 -08:00
Will Pazner a1d643f287 Small improvements to OperatorChebyshevSmoother
- Fuse two kernels in OperatorChebyshevSmoother::Mult
- Remove unnecessary copy
- Improve unit test
2024-02-01 14:47:06 -08:00
Will Pazner 04f303fd09 Add multigrid prolongation specializations 2024-02-01 12:04:17 -08:00
Will Pazner 1c4390c0f1 Add optimized p-multigrid prolongation kernels
Also rename Restriction to ProlongationTranspose
2024-02-01 10:49:07 -08:00
Will Pazner 35121d7297 Remove TensorProductPRefinementTransferOperator::~TensorProductPRefinementTransferOperator 2024-02-01 10:48:09 -08:00
254 changed files with 9343 additions and 21323 deletions
+6 -13
View File
@@ -132,14 +132,12 @@ jobs:
hypre-target: int32
precision: fp64
enzyme: true
config-opts: MFEM_USE_ENZYME=YES ENZYME_DIR=$(brew --prefix enzyme) LDFLAGS=-L$LLVM_PREFIX/lib/c++
config-opts: MFEM_USE_ENZYME=YES ENZYME_DIR=$(brew --prefix enzyme)
name: ${{ matrix.os }}-${{ matrix.build-system }}-${{ matrix.target }}-${{ matrix.mpi }}-${{ matrix.hypre-target }}-${{ matrix.precision }}${{ matrix.enzyme && '-enzyme' || '' }}
runs-on: ${{ matrix.os }}
continue-on-error: ${{ matrix.enzyme && true || false }}
steps:
# Fix 'No space left on device' errors for Ubuntu builds.
- name: Run Actions Cleaner
@@ -170,13 +168,10 @@ jobs:
env
shell: bash
# For info on Xcode see:
# - https://github.com/actions/runner-images/issues/12541
# - https://github.com/actions/runner-images/blob/releases/macos-15-arm64/20250811/images/macos/macos-15-arm64-Readme.md#xcode
- name: Xcode version setup (MacOS)
if: matrix.os == 'macos-latest'
run: |
XCODE_PATH="/Applications/Xcode_16.4.app"
XCODE_PATH="/Applications/Xcode_15.3.app"
echo "> sudo xcode-select -s ${XCODE_PATH}"
sudo xcode-select -s ${XCODE_PATH}
echo "> g++ -v"
@@ -294,12 +289,10 @@ jobs:
run: |
export HOMEBREW_NO_INSTALL_CLEANUP=1
brew update
brew install enzyme
ENZYME_LLVM=$(brew info enzyme | sed -n 's/^Required:.*\(llvm[^ ]*\).*/\1/p')
LLVM_PREFIX=$(brew --prefix $ENZYME_LLVM)
echo "LLVM_PREFIX=$LLVM_PREFIX" >> $GITHUB_ENV
echo "OMPI_CC=$LLVM_PREFIX/bin/clang" >> $GITHUB_ENV
echo "OMPI_CXX=$LLVM_PREFIX/bin/clang++" >> $GITHUB_ENV
brew install llvm@19 enzyme
echo "LLVM_PREFIX=$(brew --prefix llvm@19)" >> $GITHUB_ENV
echo "OMPI_CC=$(brew --prefix llvm@19)/bin/clang" >> $GITHUB_ENV
echo "OMPI_CXX=$(brew --prefix llvm@19)/bin/clang++" >> $GITHUB_ENV
# MFEM build and test
- name: build
-44
View File
@@ -29,47 +29,3 @@ jobs:
operations-per-run: 500
exempt-issue-labels: "bug,WIP,ready-for-review,in-review,in-next"
exempt-pr-labels: "bug,WIP,ready-for-review,in-review,in-next"
# Stale action for PRs with "in-review" label.
stale-in-review-pr:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
actions: write
steps:
- uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
stale-pr-message: ':warning: This PR has been automatically marked as stale because it has not had any activity in the last 150 days. *If no activity occurs in the next 30 days, it will be automatically closed.* Thank you for your contributions.'
only-pr-labels: "in-review"
days-before-pr-stale: 150
days-before-pr-close: 30
days-before-issue-stale: -1
days-before-issue-close: -1
stale-pr-label: 'stale'
operations-per-run: 500
# Stale action for PRs with "WIP" label.
stale-wip-pr:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
actions: write
steps:
- uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
stale-pr-message: ':warning: This PR has been automatically marked as stale because it has not had any activity in the last 300 days. *If no activity occurs in the next 30 days, it will be automatically closed.* Thank you for your contributions.'
only-pr-labels: "WIP"
days-before-pr-stale: 300
days-before-pr-close: 30
days-before-issue-stale: -1
days-before-issue-close: -1
stale-pr-label: 'stale'
operations-per-run: 500
+7 -9
View File
@@ -208,13 +208,10 @@ miniapps/electromagnetics/volta
miniapps/electromagnetics/tesla
miniapps/electromagnetics/maxwell
miniapps/electromagnetics/joule
miniapps/electromagnetics/lorentz
miniapps/electromagnetics/Volta-AMR*
miniapps/electromagnetics/Tesla-AMR*
miniapps/electromagnetics/Maxwell-Parallel*
miniapps/electromagnetics/Joule_[0-9]*
miniapps/electromagnetics/Lorentz_[0-9]*
miniapps/electromagnetics/Lorentz.dat
miniapps/electromagnetics/Joule_*
miniapps/gslib/field-diff
miniapps/gslib/field-interp
@@ -270,9 +267,9 @@ miniapps/meshing/bounding-box*
miniapps/meshing/jacobian-determinant*
miniapps/mtop/parheat
miniapps/mtop/ParHeat/*
miniapps/mtop/ParHeat*
miniapps/mtop/seqheat
miniapps/mtop/SeqHeat/*
miniapps/mtop/SeqHeat*
miniapps/autodiff/paradiff
miniapps/autodiff/seqadiff
@@ -280,7 +277,7 @@ miniapps/autodiff/seqtest
miniapps/autodiff/par_example
miniapps/autodiff/seq_example
miniapps/autodiff/seq_test
miniapps/autodiff/Example/*
miniapps/autodiff/Exampl*
miniapps/navier/navier_mms
miniapps/navier/navier_kovasznay
@@ -303,7 +300,6 @@ miniapps/nurbs/nurbs_solenoidal
miniapps/nurbs/nurbs_printfunc
miniapps/nurbs/nurbs_patch_ex1
miniapps/nurbs/nurbs_curveint
miniapps/nurbs/nurbs_surface
miniapps/nurbs/refined.mesh
miniapps/nurbs/mesh.*
miniapps/nurbs/sol_?.gf
@@ -322,7 +318,6 @@ miniapps/nurbs/nurbs_naca_cmesh
miniapps/nurbs/naca-cmesh.mesh
miniapps/nurbs/glvis_naca-cmesh.mesh
miniapps/nurbs/Naca_cmesh
miniapps/nurbs/*-Surface.mesh
miniapps/performance/ex1
miniapps/performance/ex1p
@@ -414,6 +409,8 @@ miniapps/tribol/contact-patch-test
miniapps/diag-smoothers/abs-l1-jacobi
miniapps/diag-smoothers/mg-abs-l1-jacobi
miniapps/benchmarks/ceed-solver-bps/solver-bp
# Unit test binary and outputs
tests/unit/output_meshes
tests/unit/unit_tests
@@ -434,6 +431,7 @@ tests/benchmarks/bench_ceed
tests/benchmarks/bench_tmop
tests/benchmarks/bench_vector
tests/benchmarks/bench_virtuals
tests/benchmarks/pbench_ceed
# Test script output
tests/scripts/*.err
+5 -5
View File
@@ -22,7 +22,7 @@ include:
# the "needs" keyword and express the DAG of jobs for more efficiency.
# - We use setup and setup_baseline phases to download content outside of mfem
# directory.
# - Allocate/Release is where Dane resource are allocated/released once for all.
# - Allocate/Release is where ruby resource are allocated/released once for all.
# - Build and Test is where we build and MFEM for multiple toolchains.
# - Baseline_checks gathers baseline-type test suites execution
# - Baseline_publish, only available on master, allows to update baseline
@@ -53,7 +53,7 @@ variables:
AUTOTEST_COMMIT: "YES"
# Trigger subpipelines:
dane-build-and-test:
ruby-build-and-test:
stage: sub-pipelines
variables:
# Explicitly pass down values that we want to be able to set when triggering
@@ -61,10 +61,10 @@ dane-build-and-test:
AUTOTEST: "${AUTOTEST}"
AUTOTEST_COMMIT: "${AUTOTEST_COMMIT}"
trigger:
include: .gitlab/dane-build-and-test.yml
include: .gitlab/ruby-build-and-test.yml
strategy: depend
dane-baseline:
ruby-baseline:
stage: sub-pipelines
variables:
# Explicitly pass down values that we want to be able to set when triggering
@@ -73,7 +73,7 @@ dane-baseline:
AUTOTEST: "${AUTOTEST}"
AUTOTEST_COMMIT: "${AUTOTEST_COMMIT}"
trigger:
include: .gitlab/dane-baseline.yml
include: .gitlab/ruby-baseline.yml
strategy: depend
lassen-build-and-test:
+3 -3
View File
@@ -24,7 +24,7 @@ and `test type`.
Machines typically include:
* Dane: Intel Sapphire Rapids
* Ruby: 2nd Gen Intel Xeon (Cascade Lake)
* Lassen: Power9 + Nvidia GPU
* Corona: AMD GPU
@@ -76,13 +76,13 @@ with a spack spec of MFEM, within the limits permitted by the MFEM spack
package.
In any build-and-test sub-pipeline a job basically consists in defining the
spack spec to use. Adding a job on Dane for example resumes to:
spack spec to use. Adding a job on ruby for example resumes to:
```yaml
<job_name>:
variables:
SPEC: "<spack_spec>"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
```
The remaining and non trivial work is to make sure this spec is working. To
+1 -1
View File
@@ -24,7 +24,7 @@ variables:
# TODO: add a clean-up mechanism
BUILD_ROOT: ${USER_CI_TOP_DIR}/${CI_PROJECT_NAME}-${MACHINE_NAME}-pipeline-${CI_PIPELINE_ID}
# On LLNL's Dane, there is only one allocation shared among jobs in order to
# On LLNL's ruby, there is only one allocation shared among jobs in order to
# save time and resource. This allocation has to be uniquely named so that we
# are sure to retrieve it.
ALLOC_NAME: ${CI_PROJECT_NAME}_ci_${CI_PIPELINE_ID}
@@ -9,17 +9,17 @@
# terms of the BSD-3 license. We welcome feedback and contributions, see file
# CONTRIBUTING.md for details.
# GitLab pipelines configurations for the Dane machine at LLNL
# GitLab pipelines configurations for the Ruby machine at LLNL
variables:
MACHINE_NAME: dane
MACHINE_NAME: ruby
.on_dane:
.on_ruby:
tags:
- shell
- dane
- ruby
rules:
# Don't run dane jobs if...
- if: '$CI_COMMIT_BRANCH =~ /_qnone/ || $ON_DANE == "OFF"'
# Don't run ruby jobs if...
- if: '$CI_COMMIT_BRANCH =~ /_qnone/ || $ON_RUBY == "OFF"'
when: never
# Don't run autotest update if...
- if: '$CI_JOB_NAME =~ /report/ && $AUTOTEST != "YES"'
@@ -40,17 +40,16 @@ variables:
- when: on_success
# Spack helped builds
# Generic dane build job, extending build script
.build_and_test_on_dane:
extends: [.on_dane]
# Generic ruby build job, extending build script
.build_and_test_on_ruby:
extends: [.on_ruby]
stage: build_and_test
script:
# THREADS is used by 'tests/gitlab/build_and_test', run below
# Dane has 224 threads/node and we run 7 separate jobs: 224=7*32
- export THREADS=28
- export THREADS=16
- echo ${ALLOC_NAME}
- export JOBID=$(squeue -h --name=${ALLOC_NAME} --format=%A)
- echo ${JOBID}
- echo ${MFEM_DATA_DIR}
- echo ${SPEC}
- srun $( [[ -n "${JOBID}" ]] && echo "--jobid=${JOBID}" ) --reservation=ci -t 60 -N 1 tests/gitlab/build_and_test --spec "${SPEC}" --data-dir "${MFEM_DATA_DIR}" --data
- srun $( [[ -n "${JOBID}" ]] && echo "--jobid=${JOBID}" ) --reservation=ci -t 45 -N 1 tests/gitlab/build_and_test --spec "${SPEC}" --data-dir "${MFEM_DATA_DIR}" --data
+1 -1
View File
@@ -18,7 +18,7 @@
setup_baseline:
tags:
- shell
- dane
- ruby
stage: setup
variables:
GIT_STRATEGY: none
+1 -1
View File
@@ -16,7 +16,7 @@
setup:
tags:
- shell
- dane
- ruby
stage: setup
variables:
GIT_STRATEGY: none
@@ -19,8 +19,8 @@ stages:
- cleanup
- baseline_publish
baselinecheck_mfem_intel_dane:
extends: [.on_dane]
baselinecheck_mfem_intel_ruby:
extends: [.on_ruby]
stage: baseline_check
variables:
# TPLS_DIR is used in .gitlab/scripts/baseline to provide the tpls location
@@ -31,8 +31,8 @@ baselinecheck_mfem_intel_dane:
script:
- echo ${BUILD_ROOT}
- echo ${TPLS_DIR}
# Used by the tests in MFEM/tests, dane has 224 threads/node:
- export MFEM_TEST_NP=192
# Used by the tests in MFEM/tests:
- export MFEM_TEST_NP=48
# The next script uses the following environment variables:
# * BASELINE_TEST, SYS_TYPE, CI_PROJECT_DIR, ARTIFACTS_DIR,
# * BUILD_ROOT, TPLS_DIR, MACHINE_NAME
@@ -44,7 +44,7 @@ baselinecheck_mfem_intel_dane:
allow_failure: true
cleanup:
extends: .on_dane
extends: .on_ruby
stage: cleanup
variables:
GIT_STRATEGY: none
@@ -53,7 +53,7 @@ cleanup:
- rm -rf "${BUILD_ROOT}" || true
report_baseline:
extends: [.on_dane]
extends: [.on_ruby]
stage: baseline_report
script:
- echo ${MACHINE_NAME}
@@ -113,8 +113,8 @@ report_baseline:
exit $err
) 9> autotest.lock
baselinepublish_mfem_dane:
extends: [.on_dane]
baselinepublish_mfem_ruby:
extends: [.on_ruby]
stage: baseline_publish
rules:
# - if: '$CI_COMMIT_BRANCH == "master" || $REBASELINE == "YES"'
@@ -129,5 +129,5 @@ baselinepublish_mfem_dane:
include:
- local: .gitlab/configs/common.yml
- local: .gitlab/configs/dane-config.yml
- local: .gitlab/configs/ruby-config.yml
- local: .gitlab/configs/setup-baseline.yml
@@ -19,54 +19,54 @@ stages:
allocate_resource:
variables:
GIT_STRATEGY: none
extends: .on_dane
extends: .on_ruby
stage: allocate_resource
script:
- echo ${ALLOC_NAME}
- salloc --exclusive --nodes=1 --reservation=ci --time=60 --no-shell --job-name=${ALLOC_NAME}
timeout: 6h
# GitLab jobs for the Dane machine at LLNL
# GitLab jobs for the Ruby machine at LLNL
debug_ser_gcc_10:
variables:
SPEC: "%gcc@10.3.1 +debug~mpi"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
debug_par_gcc_10:
variables:
SPEC: "%gcc@10.3.1 +debug+mpi"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
opt_ser_gcc_10:
variables:
SPEC: "%gcc@10.3.1 ~mpi"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
opt_par_gcc_10:
variables:
SPEC: "%gcc@10.3.1"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
opt_par_gcc_10_sundials:
variables:
SPEC: "%gcc@10.3.1 +sundials"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
opt_par_gcc_10_petsc:
variables:
SPEC: "%gcc@10.3.1 +petsc ^petsc+mumps~superlu-dist"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
opt_par_gcc_10_pumi:
variables:
SPEC: "%gcc@10.3.1 +pumi"
extends: .build_and_test_on_dane
extends: .build_and_test_on_ruby
# Release
release_resource:
variables:
GIT_STRATEGY: none
extends: .on_dane
extends: .on_ruby
stage: release_resource_and_report
script:
- echo ${ALLOC_NAME}
@@ -78,17 +78,17 @@ release_resource:
report_job_success:
stage: release_resource_and_report
extends:
- .on_dane
- .on_ruby
- .report_job_success
report_job_failure:
stage: release_resource_and_report
extends:
- .on_dane
- .on_ruby
- .report_job_failure
include:
- local: .gitlab/configs/common.yml
- local: .gitlab/configs/dane-config.yml
- local: .gitlab/configs/ruby-config.yml
- local: .gitlab/configs/setup-build-and-test.yml
- local: .gitlab/configs/report-build-and-test.yml
+2 -2
View File
@@ -14,7 +14,7 @@
# locals
glob_err=${BASELINE_TEST}.err
base=${BASELINE_TEST}-${SYS_TYPE}
if [[ "${MACHINE_NAME}" == "dane" ]]; then
if [[ "${MACHINE_NAME}" == "ruby" ]]; then
base="${BASELINE_TEST}-${MACHINE_NAME}"
fi
base_diff=${base}.diff
@@ -31,7 +31,7 @@ cd tests
mkdir _${BASELINE_TEST} && cd _${BASELINE_TEST}
# run
if [[ "${MACHINE_NAME}" == "dane" ]]; then
if [[ "${MACHINE_NAME}" == "ruby" ]]; then
salloc --nodes=1 --exclusive --reservation=ci ../runtest ../../mfem "${BASELINE_TEST} ${TPLS_DIR}"
elif [[ ${MACHINE_NAME} == "corona" ]]; then
salloc --nodes=1 -t 60 -p pbatch ../runtest ../../mfem "${BASELINE_TEST} ${TPLS_DIR}"
+2 -2
View File
@@ -11,7 +11,7 @@
# terms of the BSD-3 license. We welcome feedback and contributions, see file
# CONTRIBUTING.md for details.
# There will be collision between corona and dane baselines.
# There will be collision between corona and ruby baselines.
# Once the corresponding files have been generated, we can switch to machine
# specific ref.
ARTIFACT_PATH=${CI_PROJECT_DIR}/${ARTIFACTS_DIR}/baseline-${SYS_TYPE}
@@ -21,7 +21,7 @@ PATCH_FILE=${ARTIFACT_PATH}.patch
FULL_FILE=${ARTIFACT_PATH}.out
DIFF_FILE=${ARTIFACT_PATH}.diff
# There will be collision between corona and dane baselines.
# There will be collision between corona and ruby baselines.
# Once the corresponding files have been generated, we can switch to machine
# specific ref.
SAVED_NAME=baseline-${SYS_TYPE}.saved
+7 -55
View File
@@ -27,34 +27,11 @@ Discretization improvements
- In the ParMoonolith integration, added support for variational resampling of
H1 vector fields.
- Added support for boundary integration to the hyperbolic framework. In this
regard, new classes `BdrHyperbolicDirichletIntegrator` and
`BoundaryHyperbolicFlowIntegrator` have been introduced for implementation
of weak Dirichlet boundary conditions with a general flux or for the linear
case respectively.
- Added method to compute piecewise linear bounds on high-order functions on
tensor-product elements.
- Parallel anisotropic refinement of hexahedral meshes is now supported,
provided that neighboring hexahedra are not refined in conflicting directions.
A new ParMesh method is added to check for such conflicts, before refinement.
Meshing improvements
--------------------
- Introduced NC-patch NURBS meshes, which are conforming element-wise but allow
for nonconforming patch topology. This new mesh format supports element
spacing formulas for refinement, as well as local refinement factors for a
subset of knot vectors.
- Added support for higher order meshes in Mesh::MakeSimplicial and
ParMesh::MakeSimplicial.
- Added a new miniapp for interpolating a surface grid of points in 3D using a
smooth NURBS surface, that can then be sampled at arbitrary resolution while
staying close to the original geometry. See miniapps/nurbs/nurbs_surface.
GPU computing
-------------
- The function Vector::SetSubVector(const Array<int> &, const real_t) now
@@ -62,20 +39,9 @@ GPU computing
set. This is most often used for setting constant essential boundary
conditions. A new function Vector::SetSubVectorHost has been added in cases
where host execution is always needed (e.g. when the DOFs array is small).
- Introduced MFEM_FOREACH_THREAD_DIRECT, which directly maps loop tasks to GPU
threads, assigning one task per thread.
- Implemented a GPU-accelerated matrix-free AMR derefinement `GridFunction`
update operator. This supports mixed geometry meshes and variable order
spaces, and is the default derefinement operator constructed by
`FiniteElementSpace::Update` and `ParFiniteElementSpace::Update`.
The operator requires `FiniteElementSpace::Nonconforming() == true`.
- Added new method: GridFunction::GetGradients, with GPU support, for computing
the gradients of a GridFunction on all elements.
- Added GPU support in GradientGridFunctionCoefficient and
InnerProductCoefficient by implementing their Project methods.
New and updated examples and miniapps
-------------------------------------
- Added miniapps to demonstrate an implementation of the absolute-value
@@ -84,22 +50,10 @@ New and updated examples and miniapps
operators as smoothers.
These miniapps can be found in `miniapps/diag-smoothers`.
- Added a new miniapp (meshing/mesh-bounding-boxes) that computes the bounding
boxes for each element of a given mesh, and the bounds on the determinant of
the Jacobian of the transformation.
- Added a new miniapp (tools/gridfunction-bounds) to compute piecewise linear
bounds on a given high-order grid function.
- Added a new miniapp (electromagnetics/lorentz) which computes the trajectory
of a charged particle, subject to Lorentz forces, in electrostatic and/or
magnetostatic fields as computed by the volta or tesla miniapps.
API changes:
API changes
-----------
- mfem::internal::tensor and mfem::internal::dual have been moved to
mfem::future::tensor and mfem::future::dual.
- API addition: in class `Operator`, added virtual functions: `AbsMult`, and
`AbsMultTranspose`; in class `Vector`, added `Abs` and `Pow`.
@@ -107,24 +61,22 @@ Miscellaneous
-------------
- Added the "gpu", "raja-gpu", and "ceed-gpu" backend aliases/shortcuts which
automatically select between CUDA or HIP.
- The CUDA-specific names used by some of the unit tests like 'cunit_tests' and
'pcunit_tests' were replaced by names using 'gpu' instead of 'c' (short for
CUDA) or 'cuda'. These tests automatically run the CUDA/HIP tests based on the
MFEM build configuration.
- Added the option to enable GPU-aware MPI in MFEM using the environment
variable 'MFEM_GPU_AWARE_MPI' set to any value. Setting this environment
variable is an alternative to calling 'Device::SetGPUAwareMPI(true)'.
- Added parallel Address Sanitizer, serial and parallel Undefined Behavior
Sanitizer and serial Memory Sanitizer GitHub actions tests on Ubuntu.
- MFEM_PERF_* annotations: added options to enable GPU-stream- and
MPI-synchronizations at the start and at the end of annotation regions. These
synchronizations can be enabled or disabled (default) in code via the new
macros: MFEM_PERF_SYNC, MFEM_PERF_SYNC_STREAM, and MFEM_PERF_SYNC_MPI; the
environment variables with the same names can be set to 0/1 to control the
synchronization as well.
- FindPointsGSLIB has a new constructor that accepts the mesh object and
internally calls the Setup() method so that the user does not have to.
The FreeData() method has also been moved to the destructor so the user does
not need to manually free-up the memory if the destructor is called before
MPI_Finalize().
Version 4.8, released on Apr 9, 2025
====================================
+11 -25
View File
@@ -278,11 +278,6 @@ if (MFEM_USE_OPENMP OR MFEM_USE_LEGACY_OPENMP)
endif()
endif()
# Umpire (must be included before hypre, so hypre can use it if needed)
if (MFEM_USE_UMPIRE)
find_package(UMPIRE REQUIRED)
endif()
# MPI -> hypre; PETSc (optional)
if (MFEM_USE_MPI)
find_package(MPI REQUIRED)
@@ -500,13 +495,14 @@ endif()
# RAJA
if (MFEM_USE_RAJA)
# RAJA uses FindCUDA, which needs CMP0146=OLD in CMake >= 3.27
if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.27.0)
cmake_policy(SET CMP0146 OLD)
endif()
find_package(RAJA REQUIRED)
endif()
# UMPIRE
if (MFEM_USE_UMPIRE)
find_package(UMPIRE REQUIRED)
endif()
# GOOGLE-BENCHMARK
if (MFEM_USE_BENCHMARK)
find_package(Benchmark REQUIRED)
@@ -600,25 +596,18 @@ set(MFEM_TPLS OPENMP HYPRE LAPACK BLAS SuperLUDist STRUMPACK METIS SuiteSparse
NETCDF MPFR PUMI HIOP POSIXCLOCKS MFEMBacktrace ZLIB OCCA CEED RAJA UMPIRE
ADIOS2 MKL_CPARDISO MKL_PARDISO AMGX MAGMA CUSPARSE CUBLAS CALIPER CODIPACK
BENCHMARK PARELAG TRIBOL MPI_CXX HIP HIPBLAS HIPSPARSE MOONOLITH BLITZ
ALGOIM ENZYME CUDA::cudart)
ALGOIM ENZYME)
# Add all created targets and *_FOUND libraries in the variables TPL_TARGETS and
# TPL_LIBRARIES, respectively.
set(TPL_TARGETS)
# Add all *_FOUND libraries in the variable TPL_LIBRARIES.
set(TPL_LIBRARIES "")
set(TPL_INCLUDE_DIRS "")
foreach(TPL IN LISTS MFEM_TPLS)
if (${TPL}_FOUND OR TARGET ${TPL})
if (${TPL}_FOUND)
message(STATUS "MFEM: using package ${TPL}")
if (TARGET ${TPL})
list(APPEND TPL_TARGETS ${TPL})
else()
list(APPEND TPL_LIBRARIES ${${TPL}_LIBRARIES})
list(APPEND TPL_INCLUDE_DIRS ${${TPL}_INCLUDE_DIRS})
endif()
list(APPEND TPL_LIBRARIES ${${TPL}_LIBRARIES})
list(APPEND TPL_INCLUDE_DIRS ${${TPL}_INCLUDE_DIRS})
endif()
endforeach(TPL)
list(REVERSE TPL_LIBRARIES)
list(REMOVE_DUPLICATES TPL_LIBRARIES)
list(REVERSE TPL_LIBRARIES)
@@ -691,10 +680,7 @@ set(MFEM_INSTALL_DIR ${CMAKE_INSTALL_PREFIX})
# Declaring the library
mfem_add_library(mfem ${SOURCES} ${HEADERS} ${MASTER_HEADERS})
# message(STATUS "TPL_LIBRARIES = ${TPL_LIBRARIES}")
target_link_libraries(mfem PUBLIC ${TPL_LIBRARIES} ${TPL_TARGETS})
if (TPL_TARGETS)
add_dependencies(mfem ${TPL_TARGETS})
endif()
target_link_libraries(mfem PUBLIC ${TPL_LIBRARIES})
if (MINGW)
target_link_libraries(mfem PRIVATE ws2_32)
endif()
+1 -17
View File
@@ -121,11 +121,6 @@ Parallel build:
make -j 4
(For METIS 5, see https://mfem.org/building/#parallel-build-using-metis-5)
Parallel build with fetching of hypre and METIS:
mkdir <mfem-buil-dir> ; cd <mfem-build-dir>
cmake <mfem-source-dir> -DMFEM_USE_MPI=YES -DFETCH_TPLS=YES
make -j 4
CUDA build:
(this build requires CMake 3.17 or newer)
mkdir <mfem-build-dir> ; cd <mfem-build-dir>
@@ -668,7 +663,6 @@ The specific libraries and their options are:
- OpenMP (optional), usually part of compiler, used when either MFEM_USE_OPENMP
or MFEM_USE_LEGACY_OPENMP is set to YES.
Options: OPENMP_OPT, OPENMP_LIB.
Versions: OpenMP >= 3.1 when MFEM_USE_OPENMP=YES.
- High-resolution POSIX clocks: when using MFEM_TIMER_TYPE = 2, it may be
necessary to link with a system library (e.g. librt.so).
@@ -848,7 +842,6 @@ The specific libraries and their options are:
- HIP (optional), used when MFEM_USE_HIP = YES.
URL: https://rocmdocs.amd.com
Options: HIP_CXX, HIP_ARCH, HIP_OPT, HIP_LIB.
Versions: ROCm >= 5.6.1.
- OCCA (optional), used when MFEM_USE_OCCA = YES.
URL: https://libocca.org
@@ -859,7 +852,7 @@ The specific libraries and their options are:
URL: https://github.com/CEED/libCEED
https://ceed.exascaleproject.org/libceed
Options: CEED_DIR, CEED_OPT, CEED_LIB.
Versions: libCEED >= 0.12.0.
Versions: libCEED >= 0.12.
- RAJA (optional), used when MFEM_USE_RAJA = YES.
Beginning with MFEM v4.5.1, only RAJA v2022.10.3+ is supported.
@@ -1081,9 +1074,6 @@ The following options are CMake specific:
MFEM_ENABLE_TESTING - Enable the ctest framework for testing.
MFEM_ENABLE_EXAMPLES - Build all of the examples by default.
MFEM_ENABLE_MINIAPPS - Build all of the miniapps by default.
FETCH_TPLS - Enable fetching of all supported third-party libraries.
HYPRE_FETCH - Enable fetching of hypre.
METIS_FETCH - Enable fetching of metis.
External libraries (CMake):
---------------------------
@@ -1145,12 +1135,6 @@ The following built-in CMake packages are also used:
set the <LIBNAME>_LIBRARIES option directly; the configuration option
<LIBNAME>_DIR is not supported.
The MFEM CMake build system also provides fetching (automated building) for the
packages/libraries listed below. Note that when fetching is enabled, any related
auto-detection functionality is disabled.
- HYPRE
- METIS
Building without GNU make or CMake
==================================
-25
View File
@@ -84,31 +84,6 @@ set_and_check(MFEM_LIBRARY_DIR "@PACKAGE_LIB_INSTALL_DIR@")
check_required_components(MFEM)
include(CMakeFindDependencyMacro)
if (MFEM_USE_CUDA)
# required for projects linking to MFEM+CUDA, even if they don't use CUDA directly
find_dependency(CUDAToolkit)
endif (MFEM_USE_CUDA)
if (MFEM_USE_HIP)
# hip/rocm uses the modern MFEM way of linking to targets, need to find dependencies
find_dependency(HIP)
find_dependency(HIPBLAS)
find_dependency(HIPSPARSE)
if (MFEM_USE_MPI)
# assume HYPRE uses HIP
# alternatively could check HYPRE_USING_HIP
find_dependency(rocsparse)
find_dependency(rocrand)
find_dependency(rocsolver)
endif (MFEM_USE_MPI)
endif (MFEM_USE_HIP)
if (MFEM_USE_RAJA)
find_dependency(RAJA)
endif()
if (NOT TARGET mfem)
include(${CMAKE_CURRENT_LIST_DIR}/MFEMTargets.cmake)
endif (NOT TARGET mfem)
+3 -97
View File
@@ -9,25 +9,21 @@
# terms of the BSD-3 license. We welcome feedback and contributions, see file
# CONTRIBUTING.md for details.
# Defines the following variables if fetching of TPLs is disabled (default):
# Defines the following variables:
# - HYPRE_FOUND
# - HYPRE_LIBRARIES
# - HYPRE_INCLUDE_DIRS
# - HYPRE_VERSION
# - HYPRE_USING_CUDA (internal)
# - HYPRE_USING_HIP (internal)
# otherwise, the following are defined:
# - HYPRE (imported library target)
# - HYPRE_VERSION (cache variable)
if (HYPRE_FOUND OR TARGET HYPRE)
if (HYPRE_FOUND)
if (HYPRE_USING_CUDA)
find_package(CUDAToolkit REQUIRED)
endif()
if (HYPRE_USING_HIP)
find_package(rocsparse REQUIRED)
find_package(rocrand REQUIRED)
find_package(rocsolver REQUIRED)
endif()
if (HYPRE_LIBRARIES AND HYPRE_INCLUDE_DIRS AND HYPRE_VERSION)
find_package_handle_standard_args(HYPRE
@@ -37,95 +33,6 @@ if (HYPRE_FOUND OR TARGET HYPRE)
endif()
endif()
if (HYPRE_FETCH OR FETCH_TPLS)
# Collect all HYPRE_ENABLE variables and pass them to hypre, assuming they are BOOL.
set(HYPRE_CMAKE_OPTIONS "")
get_cmake_property(all_vars VARIABLES)
foreach(var ${all_vars})
if(var MATCHES "^HYPRE_ENABLE")
list(APPEND HYPRE_CMAKE_OPTIONS "-D${var}:BOOL=${${var}}")
endif()
endforeach()
set(HYPRE_FETCH_VERSION 2.33.0)
set(HYPRE_FETCH_TAG "v${HYPRE_FETCH_VERSION}" CACHE STRING "Tag, branch, or commit for HYPRE")
add_library(HYPRE STATIC IMPORTED)
# set options and associated dependencies
list(APPEND HYPRE_CMAKE_OPTIONS -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE})
if (MFEM_USE_CUDA)
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_CUDA:BOOL=ON -DCMAKE_CUDA_ARCHITECTURES:STRING=${CMAKE_CUDA_ARCHITECTURES})
find_package(CUDAToolkit REQUIRED)
target_link_libraries(HYPRE INTERFACE CUDA::cusparse CUDA::curand CUDA::cublas)
elseif (MFEM_USE_HIP)
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_HIP:BOOL=ON)
find_package(rocsparse REQUIRED)
find_package(rocrand REQUIRED)
target_link_libraries(HYPRE INTERFACE rocsparse rocrand)
endif()
if (MFEM_USE_CUDA OR MFEM_USE_HIP)
if (MFEM_USE_UMPIRE)
if (EXISTS ${umpire_DIR})
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_UMPIRE:BOOL=ON -Dumpire_DIR:PATH=${umpire_DIR})
else()
message(FATAL_ERROR "MFEM_USE_UMPIRE=ON, however umpire_DIR isn't visible to HYPRE")
endif()
else()
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_UMPIRE:BOOL=OFF)
message(WARNING
"================================================================================
Umpire is disabled while building HYPRE with GPU support.
This is not recommended for performance reasons!
Consider enabling Umpire with -DMFEM_USE_UMPIRE=ON and providing -DUMPIRE_DIR.
================================================================================")
endif()
endif()
if (MFEM_USE_SINGLE)
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_SINGLE:BOOL=ON)
endif()
# define external project and create future include directory so it is present
# to pass CMake checks at end of MFEM configuration step
message(STATUS "Will fetch HYPRE ${HYPRE_FETCH_TAG} to be built with ${HYPRE_CMAKE_OPTIONS}")
set(HYPRE_INSTALL ${CMAKE_BINARY_DIR}/fetch/hypre)
include(ExternalProject)
ExternalProject_Add(hypre
GIT_REPOSITORY https://github.com/hypre-space/hypre.git
GIT_TAG ${HYPRE_FETCH_TAG}
GIT_SHALLOW TRUE
GIT_PROGRESS TRUE
UPDATE_DISCONNECTED TRUE
SOURCE_SUBDIR src
PREFIX ${HYPRE_INSTALL}
BUILD_COMMAND ${CMAKE_COMMAND} --build . -- -j${CMAKE_BUILD_PARALLEL_LEVEL}
CMAKE_CACHE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${HYPRE_INSTALL} -DCMAKE_INSTALL_LIBDIR:PATH=lib ${HYPRE_CMAKE_OPTIONS})
file(MAKE_DIRECTORY ${HYPRE_INSTALL}/include)
# set imported library target properties
add_dependencies(HYPRE hypre)
set_target_properties(HYPRE PROPERTIES
IMPORTED_LOCATION ${HYPRE_INSTALL}/lib/libHYPRE.a
INTERFACE_INCLUDE_DIRECTORIES ${HYPRE_INSTALL}/include)
# convert HYPRE version to integer
if (HYPRE_FETCH_TAG MATCHES "^v?([0-9]+)\\.([0-9]+)\\.([0-9]+)$")
# Exact release tag X.Y.Z
string(REGEX MATCHALL "[0-9]+" HYPRE_SPLIT_VERSION "${HYPRE_FETCH_TAG}")
elseif (HYPRE_FETCH_VERSION MATCHES "([0-9]+)\\.([0-9]+)(\\.([0-9]+))?")
string(REGEX MATCHALL "[0-9]+" HYPRE_SPLIT_VERSION "${HYPRE_FETCH_VERSION}")
else (NOT DEFINED HYPRE_VERSION)
message(FATAL_ERROR "Unable to find HYPRE release version. Please provide it via -DHYPRE_VERSION")
endif()
if (HYPRE_SPLIT_VERSION AND NOT DEFINED HYPRE_VERSION)
list(GET HYPRE_SPLIT_VERSION 0 HYPRE_MAJOR_VERSION)
list(GET HYPRE_SPLIT_VERSION 1 HYPRE_MINOR_VERSION)
if (HYPRE_SPLIT_VERSION GREATER 2)
list(GET HYPRE_SPLIT_VERSION 2 HYPRE_PATCH_VERSION)
else()
set(HYPRE_PATCH_VERSION 0)
endif()
math(EXPR HYPRE_VERSION "10000*${HYPRE_MAJOR_VERSION} + 100*${HYPRE_MINOR_VERSION} + ${HYPRE_PATCH_VERSION}")
set(HYPRE_VERSION ${HYPRE_VERSION} CACHE STRING "HYPRE version." FORCE)
endif()
return()
endif()
include(MfemCmakeUtilities)
mfem_find_package(HYPRE HYPRE HYPRE_DIR "include" "HYPRE.h" "lib" "HYPRE"
"Paths to headers required by HYPRE." "Libraries required by HYPRE."
@@ -190,8 +97,7 @@ endif()
if (HYPRE_FOUND AND HYPRE_USING_HIP)
find_package(rocsparse REQUIRED)
find_package(rocrand REQUIRED)
find_package(rocsolver REQUIRED)
list(APPEND HYPRE_LIBRARIES ${rocsparse_LIBRARIES} ${rocrand_LIBRARIES} roc::rocsolver roc::rocblas)
list(APPEND HYPRE_LIBRARIES ${rocsparse_LIBRARIES} ${rocrand_LIBRARIES})
set(HYPRE_LIBRARIES ${HYPRE_LIBRARIES} CACHE STRING
"HYPRE libraries + dependencies." FORCE)
message(STATUS "Updated HYPRE_LIBRARIES: ${HYPRE_LIBRARIES}")
+1 -30
View File
@@ -9,39 +9,10 @@
# terms of the BSD-3 license. We welcome feedback and contributions, see file
# CONTRIBUTING.md for details.
# Defines the following variables if fetching of TPLs is disabled (default):
# Defines the following variables:
# - METIS_FOUND
# - METIS_LIBRARIES
# - METIS_INCLUDE_DIRS
# - METIS_VERSION_5
# otherwise, the following are defined:
# - METIS (imported library target)
# - METIS_VERSION_5 (cache variable)
if (METIS_FETCH OR FETCH_TPLS)
set(METIS_FETCH_VERSION 4.0.3)
add_library(METIS STATIC IMPORTED)
# define external project
message(STATUS "Will fetch METIS ${METIS_FETCH_VERSION} to be built with default options")
set(PREFIX ${CMAKE_BINARY_DIR}/fetch/metis)
include(ExternalProject)
ExternalProject_Add(metis
GIT_REPOSITORY https://github.com/mfem/tpls
GIT_TAG b60352fbe9675d374b00828055e55be4584c7995 # tag from 1/16/25
GIT_SHALLOW TRUE
UPDATE_DISCONNECTED TRUE
PREFIX ${PREFIX}
CONFIGURE_COMMAND tar -xzf ../metis/metis-${METIS_FETCH_VERSION}-mac.tgz --strip=1
BUILD_COMMAND $(MAKE) COPTIONS=-Wno-incompatible-pointer-types
INSTALL_COMMAND mkdir -p ${PREFIX}/lib && cp libmetis.a ${PREFIX}/lib/)
# set imported library target properties
add_dependencies(METIS metis)
set_target_properties(METIS PROPERTIES
IMPORTED_LOCATION ${PREFIX}/lib/libmetis.a)
# set cache variables that would otherwise be set after mfem_find_package call
set(METIS_VERSION_5 FALSE CACHE BOOL "Is METIS version 5?")
return()
endif()
include(MfemCmakeUtilities)
mfem_find_package(METIS METIS METIS_DIR "include;Lib" "metis.h"
@@ -718,7 +718,7 @@ function(mfem_get_target_options Target CompileOptsVar LinkOptsVar)
get_target_property(IsImported ${tgt} IMPORTED)
# message(STATUS "${tgt}[IMPORTED]: ${IsImported}")
# Generally, the possible target types are: STATIC_LIBRARY, MODULE_LIBRARY,
# SHARED_LIBRARY, INTERFACE_LIBRARY, UNKNOWN_LIBRARY, EXECUTABLE.
# SHARED_LIBRARY, INTERFACE_LIBRARY, EXECUTABLE.
get_target_property(type ${tgt} TYPE)
# message(STATUS "${tgt}[TYPE]: ${type}")
unset(ImportConfig)
@@ -766,7 +766,7 @@ function(mfem_get_target_options Target CompileOptsVar LinkOptsVar)
else()
message(STATUS " *** Warning: [${tgt}] LOCATION not defined!")
endif()
elseif ("${type}" STREQUAL "SHARED_LIBRARY" OR "${type}" STREQUAL "UNKNOWN_LIBRARY")
elseif ("${type}" STREQUAL "SHARED_LIBRARY")
get_target_property(Location ${tgt} LOCATION)
if (Location)
get_filename_component(Dir ${Location} DIRECTORY)
@@ -932,14 +932,12 @@ function(mfem_export_mk_files)
endif()
set(MFEM_BUILD_TAG "${CMAKE_SYSTEM}")
set(MFEM_PREFIX "${CMAKE_INSTALL_PREFIX}")
# For the next 4 variables, these are the values for the build-tree version of
# For the next 4 variable, these are the values for the build-tree version of
# 'config.mk'
set(MFEM_INC_DIR "${PROJECT_BINARY_DIR}")
set(MFEM_LIB_DIR "${PROJECT_BINARY_DIR}")
set(MFEM_TEST_MK "${PROJECT_SOURCE_DIR}/config/test.mk")
set(MFEM_CONFIG_EXTRA "MFEM_BUILD_DIR ?= ${PROJECT_BINARY_DIR}")
# TODO: CUDA/HIP support:
set(MFEM_XLINKER "${CMAKE_CXX_LINKER_WRAPPER_FLAG}")
set(MFEM_MPIEXEC ${MPIEXEC})
if (NOT MFEM_MPIEXEC)
set(MFEM_MPIEXEC "mpirun")
+1 -4
View File
@@ -23,14 +23,11 @@
#include "_config.hpp"
#endif
#include <cstdint>
#include <climits>
namespace mfem
{
#if (defined(MFEM_USE_CUDA) && defined(__CUDACC__)) || \
(defined(MFEM_USE_HIP) && defined(__HIP__))
(defined(MFEM_USE_HIP) && defined(__HIPCC__))
#define MFEM_HOST_DEVICE __host__ __device__
#else
#define MFEM_HOST_DEVICE
-1
View File
@@ -88,7 +88,6 @@ MFEM_BUILD_TAG = @MFEM_BUILD_TAG@
MFEM_PREFIX = @MFEM_PREFIX@
MFEM_INC_DIR = @MFEM_INC_DIR@
MFEM_LIB_DIR = @MFEM_LIB_DIR@
MFEM_XLINKER = @MFEM_XLINKER@
# Location of test.mk
MFEM_TEST_MK = @MFEM_TEST_MK@
-6
View File
@@ -89,12 +89,6 @@ option(MFEM_ENABLE_EXAMPLES "Build all of the examples" OFF)
option(MFEM_ENABLE_MINIAPPS "Build all of the miniapps" OFF)
option(MFEM_ENABLE_BENCHMARKS "Build all of the benchmarks" OFF)
# Allow a user to specify fetching of certain third-party libraries instead of
# searching for existing installations.
option(FETCH_TPLS "Enable fetching of all supported third-party libraries" OFF)
option(HYPRE_FETCH "Enable fetching of hypre" OFF)
option(METIS_FETCH "Enable fetching of METIS" OFF)
# Setting CXX/MPICXX on the command line or in user.cmake will overwrite the
# autodetected C++ compiler.
# set(CXX g++)
+1 -1
View File
@@ -57,7 +57,7 @@ CUDA_DIR = $(or $(CUDA_HOME),$(patsubst %/,%,$(dir \
CLANG_CUDA_FLAGS = -xcuda --cuda-path=$(CUDA_DIR) --cuda-gpu-arch=$(CUDA_ARCH)
# flags for nvcc
NVCC_FLAGS = -x=cu --expt-extended-lambda --expt-relaxed-constexpr \
-arch=$(CUDA_ARCH) -isystem "$(CUDA_DIR)/include"
-arch=$(CUDA_ARCH)
# Prefixes for passing flags to the host compiler and linker when using
# CUDA_CXX=nvcc
CUDA_XCOMPILER = -Xcompiler=
-593
View File
@@ -1,593 +0,0 @@
MFEM mesh v1.0
# Created by: Pointwise
# MFEM Geometry Types:
#
# POINT = 0
# SEGMENT = 1
# TRIANGLE = 2
# SQUARE = 3
# TETRAHEDRON = 4
# CUBE = 5
# PRISM = 6
dimension
2
elements
160
1 3 1 164 163 0
1 3 164 165 162 163
1 3 2 166 164 1
1 3 166 132 165 164
1 3 3 167 166 2
1 3 167 131 132 166
1 3 4 168 167 3
1 3 168 130 131 167
1 3 5 169 168 4
1 3 169 129 130 168
1 3 6 170 169 5
1 3 170 128 129 169
1 3 171 172 170 6
1 3 172 127 128 170
1 3 124 125 172 171
1 3 125 126 127 172
1 3 162 165 173 161
1 3 165 132 133 173
1 3 161 173 174 160
1 3 173 133 134 174
1 3 160 174 175 159
1 3 174 134 135 175
1 3 6 7 176 171
1 3 7 8 177 176
1 3 171 176 123 124
1 3 176 177 122 123
1 3 159 175 178 158
1 3 175 135 136 178
1 3 158 178 179 157
1 3 178 136 137 179
1 3 157 179 180 156
1 3 179 137 138 180
1 3 122 177 181 121
1 3 177 8 182 181
1 3 8 9 183 182
1 3 9 10 184 183
1 3 10 11 185 184
1 3 11 12 186 185
1 3 12 13 187 186
1 3 13 14 15 187
1 3 121 181 119 120
1 3 181 182 118 119
1 3 182 183 117 118
1 3 183 184 188 117
1 3 184 185 109 188
1 3 185 186 108 109
1 3 186 187 189 108
1 3 187 15 16 189
1 3 109 110 190 188
1 3 110 111 191 190
1 3 111 112 113 191
1 3 188 190 116 117
1 3 190 191 115 116
1 3 191 113 114 115
1 3 189 192 107 108
1 3 192 193 106 107
1 3 193 194 105 106
1 3 194 195 104 105
1 3 195 196 103 104
1 3 16 17 192 189
1 3 17 18 193 192
1 3 18 19 194 193
1 3 19 20 195 194
1 3 20 21 196 195
1 3 97 98 197 96
1 3 98 99 198 197
1 3 99 100 199 198
1 3 100 101 200 199
1 3 101 102 201 200
1 3 102 103 202 201
1 3 103 196 203 202
1 3 196 21 22 203
1 3 96 197 204 95
1 3 197 198 39 204
1 3 198 199 38 39
1 3 199 200 205 38
1 3 200 201 32 205
1 3 201 202 31 32
1 3 202 203 206 31
1 3 203 22 23 206
1 3 32 33 207 205
1 3 33 34 35 207
1 3 205 207 37 38
1 3 207 35 36 37
1 3 39 40 208 204
1 3 40 41 209 208
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1 3 42 43 211 210
1 3 43 44 212 211
1 3 204 208 94 95
1 3 208 209 93 94
1 3 209 210 92 93
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1 3 90 212 213 89
1 3 212 44 214 213
1 3 44 45 215 214
1 3 45 46 216 215
1 3 46 47 217 216
1 3 47 48 218 217
1 3 48 49 219 218
1 3 49 50 51 219
1 3 89 213 87 88
1 3 213 214 86 87
1 3 214 215 85 86
1 3 215 216 84 85
1 3 216 217 83 84
1 3 217 218 82 83
1 3 218 219 220 82
1 3 219 51 52 220
1 3 53 221 220 52
1 3 221 81 82 220
1 3 54 222 221 53
1 3 222 80 81 221
1 3 55 223 222 54
1 3 223 79 80 222
1 3 26 27 224 25
1 3 27 28 29 224
1 3 25 224 225 24
1 3 224 29 30 225
1 3 24 225 206 23
1 3 225 30 31 206
1 3 154 155 226 153
1 3 155 156 180 226
1 3 153 226 227 152
1 3 226 180 138 227
1 3 152 227 228 151
1 3 227 138 139 228
1 3 151 228 229 150
1 3 228 139 140 229
1 3 150 229 230 149
1 3 229 140 141 230
1 3 149 230 231 148
1 3 230 141 142 231
1 3 148 231 232 147
1 3 231 142 143 232
1 3 147 232 145 146
1 3 232 143 144 145
1 3 56 233 223 55
1 3 233 78 79 223
1 3 57 234 233 56
1 3 234 77 78 233
1 3 58 235 234 57
1 3 235 76 77 234
1 3 61 236 59 60
1 3 236 235 58 59
1 3 62 237 236 61
1 3 237 76 235 236
1 3 63 238 237 62
1 3 238 75 76 237
1 3 64 239 238 63
1 3 239 74 75 238
1 3 65 240 239 64
1 3 240 73 74 239
1 3 66 241 240 65
1 3 241 72 73 240
1 3 67 242 241 66
1 3 242 71 72 241
1 3 68 69 242 67
1 3 69 70 71 242
boundary
164
3 1 0 1
3 1 1 2
3 1 2 3
3 1 3 4
3 1 4 5
3 1 5 6
3 1 6 7
3 1 7 8
3 1 8 9
3 1 9 10
3 1 10 11
3 1 11 12
3 1 12 13
3 1 13 14
3 1 16 17
3 1 17 18
3 1 18 19
3 1 19 20
3 1 20 21
3 1 21 22
3 1 22 23
3 1 23 24
3 1 24 25
3 1 25 26
3 1 26 27
3 1 27 28
3 1 28 29
3 1 29 30
3 1 30 31
3 1 31 32
3 1 32 33
3 1 33 34
3 1 34 35
3 1 35 36
3 1 36 37
3 1 37 38
3 1 38 39
3 1 39 40
3 1 40 41
3 1 41 42
3 1 42 43
3 1 43 44
3 1 49 50
3 1 48 49
3 1 47 48
3 1 46 47
3 1 45 46
3 1 44 45
3 1 52 53
3 1 53 54
3 1 54 55
3 1 57 58
3 1 56 57
3 1 55 56
3 1 60 61
3 1 61 62
3 1 62 63
3 1 63 64
3 1 64 65
3 1 65 66
3 1 66 67
3 1 67 68
3 1 75 76
3 1 74 75
3 1 73 74
3 1 72 73
3 1 71 72
3 1 70 71
3 1 76 77
3 1 77 78
3 1 78 79
3 1 81 82
3 1 80 81
3 1 79 80
3 1 82 83
3 1 83 84
3 1 84 85
3 1 85 86
3 1 86 87
3 1 87 88
3 1 94 95
3 1 93 94
3 1 92 93
3 1 91 92
3 1 90 91
3 1 96 97
3 1 95 96
3 1 97 98
3 1 98 99
3 1 99 100
3 1 100 101
3 1 101 102
3 1 102 103
3 1 107 108
3 1 106 107
3 1 105 106
3 1 104 105
3 1 103 104
3 1 108 109
3 1 109 110
3 1 110 111
3 1 111 112
3 1 112 113
3 1 113 114
3 1 114 115
3 1 115 116
3 1 116 117
3 1 119 120
3 1 118 119
3 1 117 118
3 1 131 132
3 1 130 131
3 1 129 130
3 1 128 129
3 1 127 128
3 1 126 127
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3 1 136 137
3 1 135 136
3 1 138 139
3 1 139 140
3 1 140 141
3 1 141 142
3 1 142 143
3 1 143 144
3 1 147 148
3 1 146 147
3 1 153 154
3 1 152 153
3 1 151 152
3 1 150 151
3 1 149 150
3 1 148 149
3 1 156 157
3 1 157 158
3 1 158 159
3 1 161 162
3 1 160 161
3 1 159 160
2 1 69 70
2 1 68 69
3 1 88 89
3 1 89 90
3 1 121 122
3 1 120 121
3 1 123 124
3 1 122 123
3 1 125 126
3 1 124 125
1 1 144 145
1 1 145 146
3 1 15 16
3 1 14 15
3 1 50 51
3 1 51 52
3 1 59 60
3 1 58 59
3 1 154 155
3 1 155 156
3 1 163 0
3 1 162 163
vertices
243
2
4 4
4 3.5
4 3
4 2.5
4 2
4 1.5
4 1
4.5 1
5 1
5 1.5
5 2
5 2.5
5 3
5 3.5
5 4
5.500 4
6 4
6.500 4
7 4
7.5 4
8 4
8.5 4
9 4
9.5 4
10 4
10.5 4
11 4
11 3.5
11 3
10.5 3
10 3
9.5 3
9.5 2.5
10 2.5
10.5 2.5
10.5 2
10.5 1.5
10 1.5
9.5 1.5
9.5 1
10 1
10.5 1
11 1
11.5 1
12 1
12 1.5
12 2
12 2.5
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12 3.5
12 4
12.5 4
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13.333 3.75
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14.000 3.25
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15.500 4
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16.000 3
16.000 2.5
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16.000 0.5
16.000 0
15.500 0
15.000 0
15.000 0.5000000000000002
15.000 1
15.000 1.5
15.000 2
15.000 2.5
15.000 3
14.666 2.75
14.333 2.5
14.000 2.25
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13.333 2.75
13 3
13 2.5
13 2
13 1.5
13 1
13 0.500
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12.5 0
12 0
11.5 0
11 0
10.5 0
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9.5 0
9 0
8.5 0
8.5 0.5
8.5 1
8.5 1.5
8.5 2
8.5 2.5
8.5 3
8 3
7.5 3
7 3
6.500 3
6 3
6 2.5
6.5 2.5
7 2.5
7.5 2.5
7.5 2
7.5 1.5
7.000 1.5
6.5 1.5
6 1.5
6 1
6 0.5
6 0
5.5 0
5 0
4.5 0
4 0
3.5 0
3 0
3 0.500
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3 1.5
3 2
3 2.5
3 3
2.666 2.75
2.333 2.5
2.000 2.25
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1.333 2.75
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1.000 2.5
1.000 2
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1.000 0.5000
1.000 0
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0.0000 2
0.0000 2.5
0.0000 3
0.0000 3.5
0.0000 4
0.5000 4
1.000 4
1.333 3.75
1.666 3.5
2.000 3.25
2.333 3.5
2.666 3.75
3 4
3.5 4
3.5 3.5
3 3.5
3.5 3
3.5 2.5
3.5 2
3.5 1.5
3.5 1
4 0.5
3.5 0.5
2.666 3.25
2.333 3
2.000 2.75
4.5 0.5
5 0.5
1.666 3
1.333 3.25
1.000 3.5
5.5 0.5
5.500 1
5.500 1.5
5.500 2
5.500 2.5
5.500 3
5.500 3.5
6 2
6 3.5
6.5 2
7 2
6.5 3.5
7 3.5
7.5 3.5
8 3.5
8.5 3.5
9 0.5
9 1
9 1.5
9 2
9 2.5
9 3
9 3.5
9.5 0.5
9.5 2
9.5 3.5
10 2
10 0.5
10.5 0.5
11 0.5
11.5 0.5
12 0.5
12.5 0.500
12.5 1
12.5 1.5
12.5 2
12.5 2.5
12.5 3
12.5 3.5
13 3.5
13.333 3.250
13.666 3
14.000 2.75
10.5 3.5
10 3.5
0.500 3.5
0.500 3
0.500 2.5
0.500 2
0.500 1.5
0.500 1
0.500 0.5
14.333 3
14.666 3.25
15.000 3.5
15.500 3.5
15.500 3
15.500 2.5
15.500 2
15.500 1.5
15.500 1
15.500 0.5
-342
View File
@@ -1,342 +0,0 @@
MFEM NURBS NC-patch mesh v1.0
dimension
3
elements
13
0 1 5 0 8 10 11 9 4 6 7 5
0 1 5 0 18 8 24 32 30 23 36 38
0 1 5 0 0 18 32 14 12 30 38 29
0 1 5 0 32 24 10 20 38 36 26 35
0 1 5 0 14 32 20 2 29 38 35 16
0 1 5 0 30 23 36 38 31 22 37 39
0 1 5 0 12 30 38 29 13 31 39 28
0 1 5 0 38 36 26 35 39 37 27 34
0 1 5 0 29 38 35 16 28 39 34 17
0 1 5 0 31 22 37 39 19 9 25 33
0 1 5 0 13 31 39 28 1 19 33 15
0 1 5 0 39 37 27 34 33 25 11 21
0 1 5 0 28 39 34 17 15 33 21 3
boundary
31
9999 3 8 10 6 4
9999 3 10 11 7 6
9999 3 11 9 5 7
9999 3 9 8 4 5
9999 3 4 6 7 5
9999 3 32 24 8 18
9999 3 18 8 23 30
9999 3 14 32 18 0
9999 3 0 18 30 12
9999 3 14 0 12 29
9999 3 20 10 24 32
9999 3 10 20 35 26
9999 3 2 20 32 14
9999 3 20 2 16 35
9999 3 2 14 29 16
9999 3 30 23 22 31
9999 3 12 30 31 13
9999 3 29 12 13 28
9999 3 26 35 34 27
9999 3 35 16 17 34
9999 3 16 29 28 17
9999 3 31 22 9 19
9999 3 19 9 25 33
9999 3 13 31 19 1
9999 3 28 13 1 15
9999 3 1 19 33 15
9999 3 27 34 21 11
9999 3 33 25 11 21
9999 3 34 17 3 21
9999 3 17 28 15 3
9999 3 15 33 21 3
vertex_to_knotspan
8
23 0 1 8 10 11 9
22 0 2 8 10 11 9
24 1 0 8 10 11 9
36 1 1 8 10 11 9
37 1 2 8 10 11 9
25 1 3 8 10 11 9
26 2 1 8 10 11 9
27 2 2 8 10 11 9
coordinates
40
3
0 0 0
0 1 0
4 0 0
4 1 0
0 0 4
0 1 4
4 0 4
4 1 4
0 0 2
0 1 2
4 0 2
4 1 2
0 0.333333333333333 0
0 0.666666666666667 0
2 0 0
2 1 0
4 0.333333333333334 0
4 0.666666666666667 0
0 0 1
0 1 1
4 0 1
4 1 1
0 0.666666666666667 2
0 0.333333333333333 2
2 0 2
2 1 2
4 0.333333333333333 2
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2 0.666666666666667 0
2 0.333333333333333 0
0 0.333333333333333 1
0 0.666666666666667 1
1.81325211007895 0 1
1.81325211007895 1 1
4 0.666666666666667 1
4 0.333333333333333 1
2 0.333333333333333 2
2 0.666666666666667 2
1.81325211007895 0.333333333333333 1
1.81325211007895 0.666666666666667 1
edges
87
0 8 10
1 10 11
0 9 11
1 8 9
0 4 6
1 6 7
0 5 7
1 4 5
2 4 8
2 6 10
2 7 11
2 5 9
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7 8 24
9 32 24
7 18 32
9 30 23
7 23 36
9 38 36
7 30 38
3 18 30
3 8 23
3 24 36
3 32 38
8 0 18
8 14 32
7 0 14
8 12 30
8 29 38
7 12 29
3 0 12
3 14 29
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3 2 16
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7 31 39
4 30 31
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8 13 31
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7 13 28
4 12 13
4 29 28
6 37 27
9 34 27
6 39 34
4 26 27
4 35 34
8 17 34
6 28 17
4 16 17
9 19 9
7 9 25
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5 31 19
5 22 9
5 37 25
5 39 33
8 1 19
8 15 33
7 1 15
5 13 1
5 28 15
6 25 11
9 21 11
6 33 21
5 27 11
5 34 21
8 3 21
6 15 3
5 17 3
knotvectors
10
1 3 0 0 0.5 1 1
1 4 0 0 0.333333333333333 0.666666666666667 1 1
1 3 0 0 0.5 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
spacing
0
weights
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
FiniteElementSpace
FiniteElementCollection: NURBS1
VDim: 3
Ordering: 1
0 0 0
0 1 0
4 0 0
4 1 0
0 0 4
0 1 4
4 0 4
4 1 4
0 0 2
0 1 2
4 0 2
4 1 2
0 0.333333333333333 0
0 0.666666666666667 0
2 0 0
2 1 0
4 0.333333333333334 0
4 0.666666666666667 0
0 0 1
0 1 1
4 0 1
4 1 1
0 0.666666666666667 2
0 0.333333333333333 2
2 0 2
2 1 2
4 0.333333333333333 2
4 0.666666666666667 2
2 0.666666666666667 0
2 0.333333333333333 0
0 0.333333333333333 1
0 0.666666666666667 1
1.81325211007895 0 1
1.81325211007895 1 1
4 0.666666666666667 1
4 0.333333333333333 1
2 0.333333333333333 2
2 0.666666666666667 2
1.81325211007895 0.333333333333333 1
1.81325211007895 0.666666666666667 1
2 0 4
4 0.333333333333333 4
4 0.666666666666667 4
2 1 4
0 0.333333333333333 4
0 0.666666666666667 4
0 0 3
4 0 3
4 1 3
0 1 3
2 0 3
4 0.333333333333333 3
4 0.666666666666667 3
2 1 3
0 0.666666666666667 3
0 0.333333333333333 3
2 0.333333333333333 4
2 0.666666666666667 4
2 0.333333333333333 3
2 0.666666666666667 3
-96
View File
@@ -1,96 +0,0 @@
MFEM NURBS NC-patch mesh v1.0
dimension
2
# rank attr geom ref_type nodes/children
elements
3
0 1 3 0 0 4 5 1
0 1 3 0 6 7 4 2
0 1 3 0 6 3 5 7
# attr geom nodes
boundary
7
1 1 0 4
1 1 5 1
1 1 1 0
1 1 2 6
1 1 6 3
1 1 4 2
1 1 5 3
vertex_to_knotspan
1
7 1 4 5
# top-level node coordinates
coordinates
8
2
0 0
0 1
2 0
2 1
1 0
1 1
2 0.5
1 0.5
edges
11
0 0 4
1 4 5
0 1 5
1 0 1
2 6 7
4 7 4
2 2 4
4 6 2
3 6 3
2 3 5
3 7 5
knotvectors
5
1 3 0 0 0.5 1 1
1 3 0 0 0.5 1 1
1 2 0 0 1 1
1 2 0 0 1 1
1 2 0 0 1 1
spacing
0
weights
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
FiniteElementSpace
FiniteElementCollection: NURBS1
VDim: 2
Ordering: 1
0 0
0 1
2 0
2 1
1 0
1 1
2 0.5
1 0.5
0.5 0
0.5 1
0 0.5
0.5 0.5
mfem_mesh_end
-1
View File
@@ -202,7 +202,6 @@ namespace mfem {
* - <a class="el" href="tesla_8cpp_source.html">Tesla</a>: simple magnetostatics simulation code
* - <a class="el" href="maxwell_8cpp_source.html">Maxwell</a>: simple transient full-wave electromagnetics simulation code
* - <a class="el" href="joule_8cpp_source.html">Joule</a>: transient magnetics and Joule heating miniapp
* - <a class="el" href="lorentz_8cpp_source.html">Lorentz</a>: simple particle tracking code based on the Lorentz force
* - <a class="el" href="classmfem_1_1navier_1_1NavierSolver.html">Navier</a>: solve the transient incompressible Navier-Stokes equations
* - <a class="el" href="mobius-strip_8cpp_source.html">Mobius Strip</a>: generate various Mobius strip-like meshes
* - <a class="el" href="klein-bottle_8cpp_source.html">Klein Bottle</a>: generate three types of Klein bottle surfaces
-9
View File
@@ -205,15 +205,6 @@ if (MFEM_ENABLE_TESTING)
$<TARGET_FILE:ex25p> "-no-vis" "--mumps-solver"
${MPIEXEC_POSTFLAGS})
endif()
# Parallel libCEED example
if (MFEM_USE_CEED AND MFEM_USE_MPI)
add_test(NAME ex1p_ceed_np=${MFEM_MPI_NP}
COMMAND ${MPIEXEC} ${MPIEXEC_NUMPROC_FLAG} ${MFEM_MPI_NP}
${MPIEXEC_PREFLAGS}
$<TARGET_FILE:ex1p> "-no-vis" "-d ceed-cpu" "-pa" "-a"
${MPIEXEC_POSTFLAGS})
endif()
endif()
# Include the examples/amgx directory if AmgX is enabled
-1
View File
@@ -27,7 +27,6 @@
// ex1 -m ../data/fichera-amr.mesh
// ex1 -m ../data/mobius-strip.mesh
// ex1 -m ../data/mobius-strip.mesh -o -1 -sc
// ex1 -m ../data/nc3-nurbs.mesh -o -1
//
// Device sample runs:
// ex1 -pa -d cuda
+3 -1
View File
@@ -78,6 +78,7 @@ private:
opr.SetOperatorOwner(false);
CGSolver* pcg = new CGSolver();
// pcg->iterative_mode = false; // the multigrid algorithm does this
pcg->SetPrintLevel(-1);
pcg->SetMaxIter(200);
pcg->SetRelTol(sqrt(1e-4));
@@ -100,7 +101,8 @@ private:
Vector diag(fespace.GetTrueVSize());
bfs[level]->AssembleDiagonal(diag);
Solver* smoother = new OperatorChebyshevSmoother(*opr, diag, ess_tdof_list, 2);
Solver *smoother = new OperatorChebyshevSmoother(
*opr, diag, ess_tdof_list, 2);
AddLevel(opr.Ptr(), smoother, true, true);
}
};
+1
View File
@@ -88,6 +88,7 @@ private:
amg->SetPrintLevel(-1);
CGSolver* pcg = new CGSolver(MPI_COMM_WORLD);
// pcg->iterative_mode = false; // the multigrid algorithm does this
pcg->SetPrintLevel(-1);
pcg->SetMaxIter(10);
pcg->SetRelTol(sqrt(1e-4));
-6
View File
@@ -173,12 +173,6 @@ ex11p-test-cpardiso: ex11p
@$(call mfem-test,$<, $(RUN_MPI), MKL_CPARDISO example,--cpardiso)
test-par-YES: ex11p-test-cpardiso
endif
ifeq ($(MFEM_USE_CEED),YES)
ex1p-test-ceed: ex1p
@$(call mfem-test,$<, $(RUN_MPI),\
Parallel libCEED example,-d ceed-cpu -pa -a)
test-par-YES: ex1p-test-ceed
endif
# Testing: "test" target and mfem-test* variables are defined in config/test.mk
-12
View File
@@ -82,8 +82,6 @@ set(SRCS
fe/fe_ser.cpp
fe_coll.cpp
fespace.cpp
derefmat_op.cpp
pderefmat_op.cpp
geom.cpp
gridfunc.cpp
hybridization.cpp
@@ -171,11 +169,6 @@ set(HDRS
bilinearform.hpp
bilinearform_ext.hpp
bilininteg.hpp
integ/lininteg_domain_kernels.hpp
integ/bilininteg_dgdiffusion_kernels.hpp
integ/bilininteg_dgtrace_kernels.hpp
integ/bilininteg_vecdiffusion_kernels.hpp
integ/bilininteg_convection_kernels.hpp
integ/bilininteg_diffusion_kernels.hpp
integ/bilininteg_elasticity_kernels.hpp
integ/bilininteg_hcurl_kernels.hpp
@@ -246,13 +239,8 @@ set(HDRS
lor/lor_ams.hpp
lor/lor_batched.hpp
lor/lor_h1.hpp
lor/lor_dg.hpp
lor/lor_nd.hpp
lor/lor_rt.hpp
lor/lor_h1_impl.hpp
lor/lor_dg_impl.hpp
lor/lor_nd_impl.hpp
lor/lor_rt_impl.hpp
lor/lor_util.hpp
multigrid.hpp
nonlinearform.hpp
+70 -26
View File
@@ -255,6 +255,8 @@ PABilinearFormExtension::PABilinearFormExtension(BilinearForm *form)
void PABilinearFormExtension::SetupRestrictionOperators(const L2FaceValues m)
{
MFEM_PERF_FUNCTION;
if ( Device::Allows(Backend::CEED_MASK) ) { return; }
ElementDofOrdering ordering = GetEVectorOrdering(*a->FESpace());
elem_restrict = trial_fes->GetElementRestriction(ordering);
@@ -266,7 +268,11 @@ void PABilinearFormExtension::SetupRestrictionOperators(const L2FaceValues m)
// Gather the attributes on the host from all the elements
const Mesh &mesh = *trial_fes->GetMesh();
elem_attributes = &mesh.GetElementAttributes();
elem_attributes.SetSize(mesh.GetNE());
for (int i = 0; i < mesh.GetNE(); ++i)
{
elem_attributes[i] = mesh.GetAttribute(i);
}
}
// Construct face restriction operators only if the bilinear form has
@@ -325,12 +331,52 @@ void PABilinearFormExtension::SetupRestrictionOperators(const L2FaceValues m)
bdr_face_dYdn.SetSize(bdr_face_restrict_lex->Height());
}
bdr_face_attributes = &trial_fes->GetMesh()->GetBdrFaceAttributes();
const Mesh &mesh = *trial_fes->GetMesh();
// See LinearFormExtension::Update for explanation of f_to_be logic.
std::unordered_map<int,int> f_to_be;
for (int i = 0; i < mesh.GetNBE(); ++i)
{
const int f = mesh.GetBdrElementFaceIndex(i);
f_to_be[f] = i;
}
const int nf_bdr = trial_fes->GetNFbyType(FaceType::Boundary);
bdr_attributes.SetSize(nf_bdr);
int f_ind = 0;
int missing_bdr_elems = 0;
for (int f = 0; f < mesh.GetNumFaces(); ++f)
{
if (!mesh.GetFaceInformation(f).IsOfFaceType(FaceType::Boundary))
{
continue;
}
int attribute = 1; // default value
if (f_to_be.find(f) != f_to_be.end())
{
const int be = f_to_be[f];
attribute = mesh.GetBdrAttribute(be);
}
else
{
// If a boundary face does not correspond to the a boundary element,
// we assign it the default attribute of 1. We also generate a
// warning at runtime with the number of such missing elements.
++missing_bdr_elems;
}
bdr_attributes[f_ind] = attribute;
++f_ind;
}
if (missing_bdr_elems)
{
MFEM_WARNING("Missing " << missing_bdr_elems << " boundary elements "
"for boundary faces.");
}
}
}
void PABilinearFormExtension::Assemble()
{
MFEM_PERF_FUNCTION;
SetupRestrictionOperators(L2FaceValues::DoubleValued);
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
@@ -387,7 +433,7 @@ void PABilinearFormExtension::AssembleDiagonal(Vector &y) const
mfem::forall(ne, [=] MFEM_HOST_DEVICE (int e)
{
const int attr = d_attr[e];
if (attr <= 0 || d_m[attr - 1] == 0)
if (d_m[attr - 1] == 0)
{
for (int i = 0; i < nd; ++i)
{
@@ -408,7 +454,7 @@ void PABilinearFormExtension::AssembleDiagonal(Vector &y) const
for (int i = 0; i < iSz; ++i)
{
assemble_diagonal_with_markers(*integrators[i], elem_markers[i],
*elem_attributes, localY);
elem_attributes, localY);
}
const ElementRestriction* H1elem_restrict =
dynamic_cast<const ElementRestriction*>(elem_restrict);
@@ -434,7 +480,7 @@ void PABilinearFormExtension::AssembleDiagonal(Vector &y) const
for (int i = 0; i < iSz; ++i)
{
assemble_diagonal_with_markers(*integrators[i], elem_markers[i],
*elem_attributes, y);
elem_attributes, y);
}
}
@@ -447,7 +493,7 @@ void PABilinearFormExtension::AssembleDiagonal(Vector &y) const
for (int i = 0; i < n_bdr_integs; ++i)
{
assemble_diagonal_with_markers(*bdr_integs[i], bdr_markers[i],
*bdr_face_attributes, bdr_face_Y);
bdr_attributes, bdr_face_Y);
}
bdr_face_restrict_lex->AddAbsMultTranspose(bdr_face_Y, y);
}
@@ -487,6 +533,8 @@ void PABilinearFormExtension::FormLinearSystem(const Array<int> &ess_tdof_list,
void PABilinearFormExtension::MultInternal(const Vector &x, Vector &y,
const bool useAbs) const
{
MFEM_PERF_FUNCTION;
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
const int iSz = integrators.Size();
@@ -546,7 +594,7 @@ void PABilinearFormExtension::MultInternal(const Vector &x, Vector &y,
for (int i = 0; i < iSz; ++i)
{
AddMultWithMarkers(*integrators[i], localX, elem_markers[i],
*elem_attributes, false, localY, useAbs);
elem_attributes, false, localY, useAbs);
}
if (H1elem_restrict && useAbs)
{
@@ -648,8 +696,8 @@ void PABilinearFormExtension::MultInternal(const Vector &x, Vector &y,
}
for (int i = 0; i < n_bdr_integs; ++i)
{
AddMultWithMarkers(*bdr_integs[i], bdr_face_X, bdr_markers[i],
*bdr_face_attributes, false, bdr_face_Y);
AddMultWithMarkers(*bdr_integs[i], bdr_face_X, bdr_markers[i], bdr_attributes,
false, bdr_face_Y);
}
for (int i = 0; i < n_bdr_face_integs; ++i)
{
@@ -657,14 +705,12 @@ void PABilinearFormExtension::MultInternal(const Vector &x, Vector &y,
{
AddMultNormalDerivativesWithMarkers(
*bdr_face_integs[i], bdr_face_X, bdr_face_dXdn,
bdr_face_markers[i], *bdr_face_attributes, bdr_face_Y,
bdr_face_dYdn);
bdr_face_markers[i], bdr_attributes, bdr_face_Y, bdr_face_dYdn);
}
else
{
AddMultWithMarkers(*bdr_face_integs[i], bdr_face_X,
bdr_face_markers[i], *bdr_face_attributes, false,
bdr_face_Y);
AddMultWithMarkers(*bdr_face_integs[i], bdr_face_X, bdr_face_markers[i],
bdr_attributes, false, bdr_face_Y);
}
}
bdr_face_restrict_lex->AddMultTransposeInPlace(bdr_face_Y, y);
@@ -687,7 +733,7 @@ void PABilinearFormExtension::MultTranspose(const Vector &x, Vector &y) const
localY = 0.0;
for (int i = 0; i < iSz; ++i)
{
AddMultWithMarkers(*integrators[i], localX, elem_markers[i], *elem_attributes,
AddMultWithMarkers(*integrators[i], localX, elem_markers[i], elem_attributes,
true, localY);
}
elem_restrict->MultTranspose(localY, y);
@@ -734,14 +780,13 @@ void PABilinearFormExtension::MultTranspose(const Vector &x, Vector &y) const
bdr_face_Y = 0.0;
for (int i = 0; i < n_bdr_integs; ++i)
{
AddMultWithMarkers(*bdr_integs[i], bdr_face_X, bdr_markers[i],
*bdr_face_attributes, true, bdr_face_Y);
AddMultWithMarkers(*bdr_integs[i], bdr_face_X, bdr_markers[i], bdr_attributes,
true, bdr_face_Y);
}
for (int i = 0; i < n_bdr_face_integs; ++i)
{
AddMultWithMarkers(*bdr_face_integs[i], bdr_face_X,
bdr_face_markers[i], *bdr_face_attributes, true,
bdr_face_Y);
AddMultWithMarkers(*bdr_face_integs[i], bdr_face_X, bdr_face_markers[i],
bdr_attributes, true, bdr_face_Y);
}
bdr_face_restrict_lex->AddMultTransposeInPlace(bdr_face_Y, y);
}
@@ -765,7 +810,7 @@ static void AddWithMarkers_(
mfem::forall(ne, [=] MFEM_HOST_DEVICE (int e)
{
const int attr = d_attr[e];
if (attr <= 0 || d_m[attr - 1] == 0) { return; }
if (d_m[attr - 1] == 0) { return; }
for (int i = 0; i < nd; ++i)
{
d_y(i, e) += d_x(i, e);
@@ -881,8 +926,7 @@ void EABilinearFormExtension::Assemble()
{
const int i = idx % sz;
const int e = idx / sz;
const real_t val =
d_a[e] > 0 ? (d_m[d_a[e] - 1] ? d_ea_1(i, e) : 0) : 0;
const real_t val = d_m[d_a[e] - 1] ? d_ea_1(i, e) : 0.0;
if (add)
{
d_ea_2(i, e) += val;
@@ -915,7 +959,7 @@ void EABilinearFormExtension::Assemble()
ea_data_tmp.SetSize(ea_data.Size());
integrators[i]->AssembleEA(*a->FESpace(), ea_data_tmp, false);
add_with_markers(ea_data_tmp, ea_data, ne, *markers,
*elem_attributes, add);
elem_attributes, add);
}
}
}
@@ -944,7 +988,7 @@ void EABilinearFormExtension::Assemble()
ea_data_tmp.SetSize(ea_data_bdr.Size());
bdr_integs[i]->AssembleEABoundary(*a->FESpace(), ea_data_tmp, add);
add_with_markers(ea_data_tmp, ea_data_bdr, nf_bdr, *markers,
*bdr_face_attributes, add);
bdr_attributes, add);
}
}
}
@@ -993,7 +1037,7 @@ void EABilinearFormExtension::Assemble()
ea_data_tmp,
add);
add_with_markers(ea_data_tmp, ea_data_bdr, nf_bdr, *markers,
*bdr_face_attributes, add);
bdr_attributes, add);
}
}
}
+1 -2
View File
@@ -69,8 +69,7 @@ class PABilinearFormExtension : public BilinearFormExtension
protected:
const FiniteElementSpace *trial_fes, *test_fes; // Not owned
/// Attributes of all mesh elements.
const Array<int> *elem_attributes; // Not owned
const Array<int> *bdr_face_attributes; // Not owned
Array<int> elem_attributes, bdr_attributes;
mutable Vector tmp_evec; // Work array
mutable Vector localX, localY;
mutable Vector int_face_X, int_face_Y;
+50 -152
View File
@@ -23,8 +23,6 @@
namespace mfem
{
class QuadratureSpace;
class FaceQuadratureSpace;
/// Abstract base class BilinearFormIntegrator
class BilinearFormIntegrator : public NonlinearFormIntegrator
@@ -814,7 +812,7 @@ protected:
const FiniteElement & test_fe) const
{
return (trial_fe.GetDim() == 1 && test_fe.GetDim() == 1 &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
test_fe.GetRangeType() == mfem::FiniteElement::SCALAR );
}
@@ -886,7 +884,7 @@ protected:
const FiniteElement & trial_fe,
const FiniteElement & test_fe) const
{
return (trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
return (trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
test_fe.GetRangeType() == mfem::FiniteElement::SCALAR );
}
@@ -921,7 +919,7 @@ protected:
const FiniteElement & trial_fe,
const FiniteElement & test_fe) const
{
return (trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
return (trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
test_fe.GetRangeType() == mfem::FiniteElement::VECTOR );
}
@@ -1602,7 +1600,7 @@ public:
{
return (trial_fe.GetCurlDim() == 3 && test_fe.GetRangeDim() == 3 &&
trial_fe.GetRangeType() == mfem::FiniteElement::VECTOR &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
test_fe.GetRangeType() == mfem::FiniteElement::VECTOR );
}
@@ -1637,7 +1635,7 @@ public:
{
return (trial_fe.GetDim() == 2 && test_fe.GetDim() == 2 &&
trial_fe.GetRangeType() == mfem::FiniteElement::VECTOR &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
test_fe.GetRangeType() == mfem::FiniteElement::VECTOR );
}
@@ -1671,7 +1669,7 @@ public:
{
return (trial_fe.GetDim() == 2 && test_fe.GetDim() == 2 &&
trial_fe.GetRangeType() == mfem::FiniteElement::SCALAR &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
test_fe.GetRangeType() == mfem::FiniteElement::SCALAR );
}
@@ -1762,7 +1760,7 @@ public:
const FiniteElement & test_fe) const
{
return (trial_fe.GetRangeType() == mfem::FiniteElement::SCALAR &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
test_fe.GetRangeType() == mfem::FiniteElement::SCALAR );
}
@@ -1795,7 +1793,7 @@ public:
const FiniteElement & test_fe) const
{
return (trial_fe.GetRangeType() == mfem::FiniteElement::SCALAR &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
trial_fe.GetDerivType() == mfem::FiniteElement::GRAD &&
test_fe.GetRangeType() == mfem::FiniteElement::VECTOR &&
test_fe.GetDerivType() == mfem::FiniteElement::DIV );
}
@@ -1834,7 +1832,7 @@ public:
const FiniteElement & test_fe) const
{
return (trial_fe.GetRangeType() == mfem::FiniteElement::VECTOR &&
trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
trial_fe.GetDerivType() == mfem::FiniteElement::DIV &&
test_fe.GetRangeType() == mfem::FiniteElement::SCALAR &&
test_fe.GetDerivType() == mfem::FiniteElement::GRAD
);
@@ -1975,7 +1973,7 @@ protected:
const FiniteElement & test_fe) const override
{
return (trial_fe.GetCurlDim() == 3 && test_fe.GetRangeDim() == 3 &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
trial_fe.GetDerivType() == mfem::FiniteElement::CURL &&
test_fe.GetRangeType() == mfem::FiniteElement::VECTOR );
}
@@ -2496,7 +2494,8 @@ private:
#endif
public:
ConvectionIntegrator(VectorCoefficient &q, real_t a = 1.0);
ConvectionIntegrator(VectorCoefficient &q, real_t a = 1.0)
: Q(&q) { alpha = a; }
void AssembleElementMatrix(const FiniteElement &,
ElementTransformation &,
@@ -2529,28 +2528,6 @@ public:
bool SupportsCeed() const override { return DeviceCanUseCeed(); }
/// arguments: NE, B, G, Bt, Gt, pa_data, x, y, D1D, Q1D
using ApplyKernelType = void (*)(const int, const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &, const Vector &,
const Vector &, Vector &, const int,
const int);
/// arguments: DIMS, D1D, Q1D
MFEM_REGISTER_KERNELS(ApplyPAKernels, ApplyKernelType, (int, int, int));
/// arguments: DIMS, D1D, Q1D
MFEM_REGISTER_KERNELS(ApplyPATKernels, ApplyKernelType, (int, int, int));
template <int DIM, int D1D, int Q1D>
static void AddSpecialization()
{
ApplyPAKernels::Specialization<DIM, D1D, Q1D>::Add();
ApplyPATKernels::Specialization<DIM, D1D, Q1D>::Add();
}
struct Kernels { Kernels(); };
protected:
const IntegrationRule* GetDefaultIntegrationRule(
const FiniteElement& trial_fe,
@@ -2821,13 +2798,15 @@ protected:
bool symmetric = true; ///< False if using a nonsymmetric matrix coefficient
public:
CurlCurlIntegrator();
CurlCurlIntegrator() { Q = NULL; DQ = NULL; MQ = NULL; }
/// Construct a bilinear form integrator for Nedelec elements
CurlCurlIntegrator(Coefficient &q, const IntegrationRule *ir = nullptr);
CurlCurlIntegrator(Coefficient &q, const IntegrationRule *ir = NULL) :
BilinearFormIntegrator(ir), Q(&q), DQ(NULL), MQ(NULL) { }
CurlCurlIntegrator(DiagonalMatrixCoefficient &dq,
const IntegrationRule *ir = nullptr);
CurlCurlIntegrator(MatrixCoefficient &mq,
const IntegrationRule *ir = nullptr);
const IntegrationRule *ir = NULL) :
BilinearFormIntegrator(ir), Q(NULL), DQ(&dq), MQ(NULL) { }
CurlCurlIntegrator(MatrixCoefficient &mq, const IntegrationRule *ir = NULL) :
BilinearFormIntegrator(ir), Q(NULL), DQ(NULL), MQ(&mq) { }
/* Given a particular Finite Element, compute the
element curl-curl matrix elmat */
@@ -2857,34 +2836,6 @@ public:
void AssembleDiagonalPA(Vector& diag) override;
const Coefficient *GetCoefficient() const { return Q; }
/// arguments: d1d, q1d, symmetric, NE, bo, bc, bot, bct, gc, gct, pa_data,
/// x, y, useAbs
using ApplyKernelType = void (*)(
const int, const int, const bool, const int, const Array<real_t> &,
const Array<real_t> &, const Array<real_t> &, const Array<real_t> &,
const Array<real_t> &, const Array<real_t> &, const Vector &,
const Vector &, Vector &, const bool);
/// arguments: d1d, q1d, symmetric, ne, Bo, Bc, Go, Gc, pa_data, diag
using DiagonalKernelType = void (*)(const int, const int, const bool,
const int, const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &, const Vector &,
Vector &);
/// parameters: dim, d1d, q1d
MFEM_REGISTER_KERNELS(ApplyPAKernels, ApplyKernelType, (int, int, int));
/// parameters: dim, d1d, q1d
MFEM_REGISTER_KERNELS(DiagonalPAKernels, DiagonalKernelType, (int, int, int));
struct Kernels { Kernels(); };
template <int DIM, int D1D, int Q1D> static void AddSpecialization()
{
ApplyPAKernels::Specialization<DIM, D1D, Q1D>::Add();
DiagonalPAKernels::Specialization<DIM, D1D, Q1D>::Add();
}
};
/** Integrator for $(\mathrm{curl}(u), \mathrm{curl}(v))$ for FE spaces defined by 'dim' copies of a
@@ -3138,18 +3089,21 @@ private:
Vector vcoeff;
public:
VectorDiffusionIntegrator(const IntegrationRule *ir = nullptr);
VectorDiffusionIntegrator() { }
/** \brief Integrator with unit coefficient for caller-specified vector
dimension.
If the vector dimension does not match the true dimension of the space,
the resulting element matrix will be mathematically invalid. */
VectorDiffusionIntegrator(int vector_dimension);
VectorDiffusionIntegrator(int vector_dimension)
: vdim(vector_dimension) { }
VectorDiffusionIntegrator(Coefficient &q);
VectorDiffusionIntegrator(Coefficient &q)
: Q(&q) { }
VectorDiffusionIntegrator(Coefficient &q, const IntegrationRule *ir);
VectorDiffusionIntegrator(Coefficient &q, const IntegrationRule *ir)
: BilinearFormIntegrator(ir), Q(&q) { }
/** \brief Integrator with scalar coefficient for caller-specified vector
dimension.
@@ -3159,7 +3113,8 @@ public:
If the vector dimension does not match the true dimension of the space,
the resulting element matrix will be mathematically invalid. */
VectorDiffusionIntegrator(Coefficient &q, int vector_dimension);
VectorDiffusionIntegrator(Coefficient &q, int vector_dimension)
: Q(&q), vdim(vector_dimension) { }
/** \brief Integrator with \c VectorCoefficient. The vector dimension of the
\c FiniteElementSpace is assumed to be the same as the dimension of the
@@ -3170,7 +3125,8 @@ public:
If the vector dimension does not match the true dimension of the space,
the resulting element matrix will be mathematically invalid. */
VectorDiffusionIntegrator(VectorCoefficient &vq);
VectorDiffusionIntegrator(VectorCoefficient &vq)
: VQ(&vq), vdim(vq.GetVDim()) { }
/** \brief Integrator with \c MatrixCoefficient. The vector dimension of the
\c FiniteElementSpace is assumed to be the same as the dimension of the
@@ -3181,7 +3137,8 @@ public:
If the vector dimension does not match the true dimension of the space,
the resulting element matrix will be mathematically invalid. */
VectorDiffusionIntegrator(MatrixCoefficient& mq);
VectorDiffusionIntegrator(MatrixCoefficient& mq)
: MQ(&mq), vdim(mq.GetVDim()) { }
void AssembleElementMatrix(const FiniteElement &el,
ElementTransformation &Trans,
@@ -3197,28 +3154,6 @@ public:
void AddMultPA(const Vector &x, Vector &y) const override;
void AddMultMF(const Vector &x, Vector &y) const override;
bool SupportsCeed() const override { return DeviceCanUseCeed(); }
/// arguments: ne, B, G, Bt, Gt, pa_data, x, y, d1d, q1d, vdim
using ApplyKernelType = void (*)(const int, const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &, const Vector &,
const Vector &, Vector &, const int,
const int, const int);
/// arguments: dim, vdim, d1d, q1d
MFEM_REGISTER_KERNELS(ApplyPAKernels, ApplyKernelType, (int, int, int, int));
template <int DIM, int VDIM, int D1D, int Q1D>
static void AddSpecialization()
{
ApplyPAKernels::Specialization<DIM, VDIM, D1D, Q1D>::Add();
}
struct Kernels
{
Kernels();
};
};
/** Integrator for the linear elasticity form:
@@ -3372,8 +3307,8 @@ public:
class DGTraceIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient *rho = nullptr;
VectorCoefficient *u = nullptr;
Coefficient *rho;
VectorCoefficient *u;
real_t alpha, beta;
// PA extension
Vector pa_data;
@@ -3386,16 +3321,17 @@ private:
Vector tr_shape1, te_shape1, tr_shape2, te_shape2;
public:
DGTraceIntegrator(real_t a, real_t b);
/// Construct integrator with $\rho = 1$, $\beta = \alpha/2$.
DGTraceIntegrator(VectorCoefficient &u_, real_t a);
DGTraceIntegrator(VectorCoefficient &u_, real_t a)
{ rho = NULL; u = &u_; alpha = a; beta = 0.5*a; }
/// Construct integrator with $\rho = 1$.
DGTraceIntegrator(VectorCoefficient &u_, real_t a, real_t b);
DGTraceIntegrator(VectorCoefficient &u_, real_t a, real_t b)
{ rho = NULL; u = &u_; alpha = a; beta = b; }
DGTraceIntegrator(Coefficient &rho_, VectorCoefficient &u_,
real_t a, real_t b);
real_t a, real_t b)
{ rho = &rho_; u = &u_; alpha = a; beta = b; }
using BilinearFormIntegrator::AssembleFaceMatrix;
void AssembleFaceMatrix(const FiniteElement &el1,
@@ -3434,26 +3370,6 @@ public:
static const IntegrationRule &GetRule(Geometry::Type geom, int order,
const ElementTransformation &T);
/// arguments: nf, B, Bt, pa_data, x, y, dofs1D, quad1D
using ApplyKernelType = void (*)(const int, const Array<real_t> &,
const Array<real_t> &, const Vector &,
const Vector &, Vector &, const int,
const int);
/// arguments: DIM, d1d, q1d
MFEM_REGISTER_KERNELS(ApplyPAKernels, ApplyKernelType, (int, int, int));
/// arguments: DIM, d1d, q1d
MFEM_REGISTER_KERNELS(ApplyPATKernels, ApplyKernelType, (int, int, int));
template <int DIM, int D1D, int Q1D> static void AddSpecialization()
{
ApplyPAKernels::Specialization<DIM, D1D, Q1D>::Add();
ApplyPATKernels::Specialization<DIM, D1D, Q1D>::Add();
}
struct Kernels { Kernels(); };
private:
void SetupPA(const FiniteElementSpace &fes, FaceType type);
};
@@ -3500,8 +3416,8 @@ public:
class DGDiffusionIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient *Q = nullptr;
MatrixCoefficient *MQ = nullptr;
Coefficient *Q;
MatrixCoefficient *MQ;
real_t sigma, kappa;
// these are not thread-safe!
@@ -3516,11 +3432,15 @@ protected:
IntegrationRules irs{0, Quadrature1D::GaussLobatto};
public:
DGDiffusionIntegrator(const real_t s, const real_t k);
DGDiffusionIntegrator(Coefficient &q, const real_t s, const real_t k);
DGDiffusionIntegrator(MatrixCoefficient &q, const real_t s, const real_t k);
DGDiffusionIntegrator(const real_t s, const real_t k)
: Q(NULL), MQ(NULL), sigma(s), kappa(k) { }
DGDiffusionIntegrator(Coefficient &q, const real_t s, const real_t k)
: Q(&q), MQ(NULL), sigma(s), kappa(k) { }
DGDiffusionIntegrator(MatrixCoefficient &q, const real_t s, const real_t k)
: Q(NULL), MQ(&q), sigma(s), kappa(k) { }
using BilinearFormIntegrator::AssembleFaceMatrix;
void AssembleFaceMatrix(const FiniteElement &el1, const FiniteElement &el2,
void AssembleFaceMatrix(const FiniteElement &el1,
const FiniteElement &el2,
FaceElementTransformations &Trans,
DenseMatrix &elmat) override;
@@ -3539,28 +3459,6 @@ public:
const IntegrationRule &GetRule(int order, Geometry::Type geom);
real_t GetPenaltyParameter() const { return kappa; }
/// arguments: nf, B, Bt, G, Gt, sigma, pa_data, x, dxdn, y, dydn, dofs1D,
/// quad1D
using ApplyKernelType = void (*)(const int, const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &,
const Array<real_t> &, const real_t,
const Vector &, const Vector &_,
const Vector &, Vector &, Vector &,
const int, const int);
/// arguments: DIM, d1d, q1d
MFEM_REGISTER_KERNELS(ApplyPAKernels, ApplyKernelType, (int, int, int));
template <int DIM, int D1D, int Q1D> static void AddSpecialization()
{
ApplyPAKernels::Specialization<DIM, D1D, Q1D>::Add();
}
struct Kernels { Kernels(); };
private:
void SetupPA(const FiniteElementSpace &fes, FaceType type);
};
@@ -8,7 +8,6 @@
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include <ceed/types.h>
/// A structure used to pass additional data to f_build_conv and f_apply_conv
struct ConvectionContext {
@@ -92,7 +91,7 @@ CEED_QFUNCTION(f_build_conv_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for building quadrature data for a convection operator
@@ -168,7 +167,7 @@ CEED_QFUNCTION(f_build_conv_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a conv operator
@@ -234,7 +233,7 @@ CEED_QFUNCTION(f_apply_conv)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a conv operator
@@ -382,7 +381,7 @@ CEED_QFUNCTION(f_apply_conv_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
@@ -526,5 +525,5 @@ CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
@@ -8,7 +8,7 @@
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include <ceed/types.h>
/// A structure used to pass additional data to f_build_diff and f_apply_diff
struct DiffusionContext { CeedInt dim, space_dim, vdim; CeedScalar coeff; };
@@ -85,7 +85,7 @@ CEED_QFUNCTION(f_build_diff_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for building quadrature data for a diffusion operator
@@ -161,7 +161,7 @@ CEED_QFUNCTION(f_build_diff_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a diff operator
@@ -241,7 +241,7 @@ CEED_QFUNCTION(f_apply_diff)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a diff operator
@@ -394,7 +394,7 @@ CEED_QFUNCTION(f_apply_diff_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
CEED_QFUNCTION(f_apply_diff_mf_quad)(void *ctx, CeedInt Q,
@@ -549,5 +549,5 @@ CEED_QFUNCTION(f_apply_diff_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
+6 -6
View File
@@ -8,7 +8,7 @@
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include <ceed/types.h>
/// A structure used to pass additional data to f_build_diff and f_apply_diff
struct MassContext { CeedInt dim, space_dim, vdim; CeedScalar coeff; };
@@ -53,7 +53,7 @@ CEED_QFUNCTION(f_build_mass_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for building quadrature data for a mass operator with a
@@ -95,7 +95,7 @@ CEED_QFUNCTION(f_build_mass_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a mass operator
@@ -135,7 +135,7 @@ CEED_QFUNCTION(f_apply_mass)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a diff operator
@@ -199,7 +199,7 @@ CEED_QFUNCTION(f_apply_mass_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
CEED_QFUNCTION(f_apply_mass_mf_quad)(void *ctx, CeedInt Q,
@@ -266,5 +266,5 @@ CEED_QFUNCTION(f_apply_mass_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
@@ -8,7 +8,6 @@
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include <ceed/types.h>
/// A structure used to pass additional data to f_build_conv and f_apply_conv
struct NLConvectionContext { CeedInt dim, space_dim, vdim; CeedScalar coeff; };
@@ -88,7 +87,7 @@ CEED_QFUNCTION(f_build_conv_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for building quadrature data for a convection operator
@@ -168,7 +167,7 @@ CEED_QFUNCTION(f_build_conv_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a conv operator
@@ -248,7 +247,7 @@ CEED_QFUNCTION(f_apply_conv)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
/// libCEED Q-function for applying a conv operator
@@ -363,7 +362,7 @@ CEED_QFUNCTION(f_apply_conv_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
@@ -476,5 +475,5 @@ CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return CEED_ERROR_SUCCESS;
return 0;
}
+1 -12
View File
@@ -18,21 +18,10 @@
#include <ceed.h>
#if !CEED_VERSION_GE(0, 12, 0)
#if !CEED_VERSION_GE(0,12,0)
#error MFEM requires a libCEED version >= 0.12.0
#endif
#if !CEED_VERSION_GE(0, 13, 0)
#define CeedOperatorCreateComposite(ceed, op) \
CeedCompositeOperatorCreate((ceed), (op))
#define CeedOperatorCompositeAddSub(op, sub) \
CeedCompositeOperatorAddSub((op), (sub))
#define CeedOperatorCompositeGetNumSub(op, num) \
CeedCompositeOperatorGetNumSub((op), (num))
#define CeedOperatorCompositeGetSubList(op, list) \
CeedCompositeOperatorGetSubList((op), (list))
#endif
namespace mfem
{
+2 -2
View File
@@ -83,7 +83,7 @@ public:
}
// Create composite CeedOperator
CeedOperatorCreateComposite(internal::ceed, &oper);
CeedCompositeOperatorCreate(internal::ceed, &oper);
// Create each sub-CeedOperator
sub_ops.reserve(element_indices.size());
@@ -101,7 +101,7 @@ public:
int nelem = *count[value.first];
sub_op->Assemble(info, fes, ir, nelem, indices, Q);
sub_ops.push_back(sub_op);
CeedOperatorCompositeAddSub(oper, sub_op->GetCeedOperator());
CeedCompositeOperatorAddSub(oper, sub_op->GetCeedOperator());
}
const int ndofs = fes.GetVDim() * fes.GetNDofs();
+6 -6
View File
@@ -140,7 +140,11 @@ int CeedOperatorGetActiveField(CeedOperator oper, CeedOperatorField *field)
CeedOperator *subops;
if (isComposite)
{
ierr = CeedOperatorCompositeGetSubList(oper, &subops); PCeedChk(ierr);
#if CEED_VERSION_GE(0, 10, 2)
ierr = CeedCompositeOperatorGetSubList(oper, &subops); PCeedChk(ierr);
#else
ierr = CeedOperatorGetSubList(oper, &subops); PCeedChk(ierr);
#endif
ierr = CeedOperatorGetQFunction(subops[0], &qf); PCeedChk(ierr);
}
else
@@ -167,11 +171,7 @@ int CeedOperatorGetActiveField(CeedOperator oper, CeedOperatorField *field)
for (int i = 0; i < numinputfields; ++i)
{
ierr = CeedOperatorFieldGetVector(inputfields[i], &if_vector); PCeedChk(ierr);
bool is_active = if_vector == CEED_VECTOR_ACTIVE;
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedVectorDestroy(&if_vector); PCeedChk(ierr);
#endif
if (is_active)
if (if_vector == CEED_VECTOR_ACTIVE)
{
if (found)
{
+11 -6
View File
@@ -228,7 +228,7 @@ void AddToCompositeOperator(BilinearFormIntegrator *integ, CeedOperator op)
{
if (integ->SupportsCeed())
{
CeedOperatorCompositeAddSub(op, integ->GetCeedOp().GetCeedOperator());
CeedCompositeOperatorAddSub(op, integ->GetCeedOp().GetCeedOperator());
}
else
{
@@ -240,7 +240,7 @@ CeedOperator CreateCeedCompositeOperatorFromBilinearForm(BilinearForm &form)
{
int ierr;
CeedOperator op;
ierr = CeedOperatorCreateComposite(internal::ceed, &op); PCeedChk(ierr);
ierr = CeedCompositeOperatorCreate(internal::ceed, &op); PCeedChk(ierr);
MFEM_VERIFY(form.GetBBFI()->Size() == 0,
"Not implemented for this integrator!");
@@ -271,13 +271,18 @@ CeedOperator CoarsenCeedCompositeOperator(
MFEM_ASSERT(isComposite, "");
CeedOperator op_coarse;
ierr = CeedOperatorCreateComposite(internal::ceed,
ierr = CeedCompositeOperatorCreate(internal::ceed,
&op_coarse); PCeedChk(ierr);
int nsub;
CeedOperator *subops;
ierr = CeedOperatorCompositeGetNumSub(op, &nsub); PCeedChk(ierr);
ierr = CeedOperatorCompositeGetSubList(op, &subops); PCeedChk(ierr);
#if CEED_VERSION_GE(0, 10, 2)
ierr = CeedCompositeOperatorGetNumSub(op, &nsub); PCeedChk(ierr);
ierr = CeedCompositeOperatorGetSubList(op, &subops); PCeedChk(ierr);
#else
ierr = CeedOperatorGetNumSub(op, &nsub); PCeedChk(ierr);
ierr = CeedOperatorGetSubList(op, &subops); PCeedChk(ierr);
#endif
for (int isub=0; isub<nsub; ++isub)
{
CeedOperator subop = subops[isub];
@@ -289,7 +294,7 @@ CeedOperator CoarsenCeedCompositeOperator(
// refcounted by existing objects
ierr = CeedBasisDestroy(&basis_coarse); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basis_c2f); PCeedChk(ierr);
ierr = CeedOperatorCompositeAddSub(op_coarse, subop_coarse);
ierr = CeedCompositeOperatorAddSub(op_coarse, subop_coarse);
PCeedChk(ierr);
ierr = CeedOperatorDestroy(&subop_coarse); PCeedChk(ierr);
}
+14 -52
View File
@@ -81,27 +81,12 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
ierr = CeedOperatorFieldGetVector(input_fields[i], &vec); PCeedChk(ierr);
if (vec == CEED_VECTOR_ACTIVE)
{
CeedBasis basis;
ierr = CeedOperatorFieldGetBasis(input_fields[i], &basis); PCeedChk(ierr);
if (!basisin)
{
ierr = CeedBasisReferenceCopy(basis, &basisin); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedBasisDestroy(&basis); PCeedChk(ierr);
#endif
ierr = CeedOperatorFieldGetBasis(input_fields[i], &basisin);
PCeedChk(ierr);
ierr = CeedBasisGetNumComponents(basisin, &ncomp); PCeedChk(ierr);
ierr = CeedBasisGetDimension(basisin, &dim); PCeedChk(ierr);
CeedElemRestriction rstr;
ierr = CeedOperatorFieldGetElemRestriction(input_fields[i], &rstr);
ierr = CeedOperatorFieldGetElemRestriction(input_fields[i], &rstrin);
PCeedChk(ierr);
if (!rstrin)
{
ierr = CeedElemRestrictionReferenceCopy(rstr, &rstrin); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedElemRestrictionDestroy(&rstr); PCeedChk(ierr);
#endif
CeedEvalMode emode;
ierr = CeedQFunctionFieldGetEvalMode(qffields[i], &emode);
PCeedChk(ierr);
@@ -127,9 +112,6 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
break; // Caught by QF Assembly
}
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedVectorDestroy(&vec); PCeedChk(ierr);
#endif
}
// Determine active output basis
@@ -145,25 +127,11 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
ierr = CeedOperatorFieldGetVector(output_fields[i], &vec); PCeedChk(ierr);
if (vec == CEED_VECTOR_ACTIVE)
{
CeedBasis basis;
ierr = CeedOperatorFieldGetBasis(output_fields[i], &basis); PCeedChk(ierr);
if (!basisout)
{
ierr = CeedBasisReferenceCopy(basis, &basisout); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedBasisDestroy(&basis); PCeedChk(ierr);
#endif
CeedElemRestriction rstr;
ierr = CeedOperatorFieldGetElemRestriction(output_fields[i], &rstr);
ierr = CeedOperatorFieldGetBasis(output_fields[i], &basisout);
PCeedChk(ierr);
ierr = CeedOperatorFieldGetElemRestriction(output_fields[i], &rstrout);
PCeedChk(ierr);
PCeedChk(ierr);
if (!rstrout)
{
ierr = CeedElemRestrictionReferenceCopy(rstr, &rstrout); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedElemRestrictionDestroy(&rstr); PCeedChk(ierr);
#endif
CeedEvalMode emode;
ierr = CeedQFunctionFieldGetEvalMode(qffields[i], &emode);
PCeedChk(ierr);
@@ -189,9 +157,6 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
break; // Caught by QF Assembly
}
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedVectorDestroy(&vec); PCeedChk(ierr);
#endif
}
CeedInt nelem, elemsize, nqpts;
@@ -235,11 +200,7 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
PCeedChk(ierr);
CeedInt layout[3];
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedElemRestrictionGetELayout(rstr_q, layout); PCeedChk(ierr);
#else
ierr = CeedElemRestrictionGetELayout(rstr_q, &layout); PCeedChk(ierr);
#endif
ierr = CeedElemRestrictionDestroy(&rstr_q); PCeedChk(ierr);
// enforce structurally symmetric for later elimination
@@ -324,10 +285,6 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
ierr = CeedVectorRestoreArrayRead(assembledqf, &assembledqfarray);
PCeedChk(ierr);
ierr = CeedVectorDestroy(&assembledqf); PCeedChk(ierr);
ierr = CeedElemRestrictionDestroy(&rstrin); PCeedChk(ierr);
ierr = CeedElemRestrictionDestroy(&rstrout); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basisin); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basisout); PCeedChk(ierr);
ierr = CeedHackFree(&emodein); PCeedChk(ierr);
ierr = CeedHackFree(&emodeout); PCeedChk(ierr);
@@ -353,8 +310,13 @@ int CeedOperatorFullAssemble(CeedOperator op, SparseMatrix **mat)
{
CeedInt numsub;
CeedOperator *subops;
ierr = CeedOperatorCompositeGetNumSub(op, &numsub); PCeedChk(ierr);
ierr = CeedOperatorCompositeGetSubList(op, &subops); PCeedChk(ierr);
#if CEED_VERSION_GE(0, 10, 2)
CeedCompositeOperatorGetNumSub(op, &numsub);
ierr = CeedCompositeOperatorGetSubList(op, &subops); PCeedChk(ierr);
#else
CeedOperatorGetNumSub(op, &numsub);
ierr = CeedOperatorGetSubList(op, &subops); PCeedChk(ierr);
#endif
for (int i = 0; i < numsub; ++i)
{
ierr = CeedSingleOperatorFullAssemble(subops[i], out); PCeedChk(ierr);
+1 -25
View File
@@ -120,11 +120,7 @@ int CeedATPMGElemRestriction(int order,
}
ierr = CeedVectorRestoreArray(in_lvec, &lvec_data); PCeedChk(ierr);
CeedInt in_layout[3];
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedElemRestrictionGetELayout(er_in, in_layout); PCeedChk(ierr);
#else
ierr = CeedElemRestrictionGetELayout(er_in, &in_layout); PCeedChk(ierr);
#endif
if (in_layout[0] == 0 && in_layout[1] == 0 && in_layout[2] == 0)
{
return CeedError(ceed, 1, "Cannot interpret e-vector ordering of given"
@@ -668,11 +664,7 @@ int CeedATPMGOperator(CeedOperator oper, int order_reduction,
for (int i = 0; i < numinputfields; ++i)
{
#if CEED_VERSION_GE(0, 13, 0)
const char * fieldname;
#else
char * fieldname;
#endif
ierr = CeedQFunctionFieldGetName(inputqfields[i], &fieldname); PCeedChk(ierr);
if (if_vector[i] == CEED_VECTOR_ACTIVE)
{
@@ -684,19 +676,10 @@ int CeedATPMGOperator(CeedOperator oper, int order_reduction,
ierr = CeedOperatorSetField(coper, fieldname, er_input[i], basis_input[i],
if_vector[i]); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedVectorDestroy(&if_vector[i]); PCeedChk(ierr);
ierr = CeedElemRestrictionDestroy(&er_input[i]); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basis_input[i]); PCeedChk(ierr);
#endif
}
for (int i = 0; i < numoutputfields; ++i)
{
#if CEED_VERSION_GE(0, 13, 0)
const char * fieldname;
#else
char * fieldname;
#endif
ierr = CeedQFunctionFieldGetName(outputqfields[i], &fieldname); PCeedChk(ierr);
if (of_vector[i] == CEED_VECTOR_ACTIVE)
{
@@ -708,11 +691,6 @@ int CeedATPMGOperator(CeedOperator oper, int order_reduction,
ierr = CeedOperatorSetField(coper, fieldname, er_output[i], basis_output[i],
of_vector[i]); PCeedChk(ierr);
}
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedVectorDestroy(&of_vector[i]); PCeedChk(ierr);
ierr = CeedElemRestrictionDestroy(&er_output[i]); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basis_output[i]); PCeedChk(ierr);
#endif
}
delete [] er_input;
delete [] er_output;
@@ -763,9 +741,7 @@ int CeedOperatorGetOrder(CeedOperator oper, CeedInt * order)
int P1d;
ierr = CeedBasisGetNumNodes1D(basis, &P1d); PCeedChk(ierr);
*order = P1d - 1;
#if CEED_VERSION_GE(0, 13, 0)
ierr = CeedBasisDestroy(&basis); PCeedChk(ierr);
#endif
return 0;
}
-99
View File
@@ -12,7 +12,6 @@
// Implementation of Coefficient class
#include "fem.hpp"
#include "../general/forall.hpp"
#include <cmath>
#include <limits>
@@ -81,49 +80,6 @@ real_t PWConstCoefficient::Eval(ElementTransformation & T,
return (constants(att-1));
}
void PWConstCoefficient::Project(QuadratureFunction &qf)
{
auto &qs = *qf.GetSpace();
const bool compressed =
qs.Offsets(QSpaceOffsetStorage::COMPRESSED).Size() == 1;
const int *offsets = qs.Offsets(QSpaceOffsetStorage::COMPRESSED).Read();
const int ne = qs.GetNE();
const int *attributes = [&]()
{
if (dynamic_cast<QuadratureSpace*>(&qs) != nullptr)
{
return qs.GetMesh()->GetElementAttributes().Read();
}
else if (auto *qs_f = dynamic_cast<FaceQuadratureSpace*>(&qs))
{
MFEM_VERIFY(qs_f->GetFaceType() == FaceType::Boundary,
"Interior faces do not have attributes.");
return qs.GetMesh()->GetBdrFaceAttributes().Read();
}
else
{
MFEM_ABORT("Unsupported case.");
}
}();
const real_t *d_c = constants.Read();
real_t *d_qf = qf.Write();
mfem::forall(ne, [=] MFEM_HOST_DEVICE (int e)
{
const int a = attributes[e];
const real_t elementConstant = d_c[a - 1];
const int begin = compressed ? e*offsets[0] : offsets[e];
const int end = compressed ? (e+1)*offsets[0] : offsets[e+1];
for (int i = begin; i < end; ++i)
{
d_qf[i] = elementConstant;
}
});
}
void PWCoefficient::InitMap(const Array<int> & attr,
const Array<Coefficient*> & coefs)
{
@@ -563,26 +519,6 @@ void GradientGridFunctionCoefficient::Eval(
}
}
void GradientGridFunctionCoefficient::Project(QuadratureFunction &qf)
{
const FiniteElementSpace &fes = *GridFunc->FESpace();
const Mesh &mesh = *fes.GetMesh();
const int sdim = mesh.SpaceDimension();
const int gf_vdim = fes.GetVDim(); // assumed to be 1 in this class
qf.SetVDim(sdim*gf_vdim);
if (mesh.GetNE() == 0) { return; }
// All mesh element must be the same type:
MFEM_VERIFY(mesh.GetNumGeometries(mesh.Dimension()) == 1,
"All mesh elements must be the same type!");
const IntegrationRule &ir = qf.GetIntRule(0);
// All elements must use the same quadrature rule:
MFEM_VERIFY(qf.Size() == sdim*gf_vdim*ir.GetNPoints()*mesh.GetNE(),
"All mesh elements must use the same quadrature rule!");
// QuadratureFunction uses the layout qf_vdim x nq x ne, i.e.
// gf_vdim x sdim x nq x nq, so we need to request QVectorLayout::byVDIM:
GridFunc->GetGradients(ir, qf, QVectorLayout::byVDIM);
}
CurlGridFunctionCoefficient::CurlGridFunctionCoefficient(
const GridFunction *gf)
: VectorCoefficient(0)
@@ -1129,41 +1065,6 @@ real_t InnerProductCoefficient::Eval(ElementTransformation &T,
return va * vb;
}
void InnerProductCoefficient::Project(QuadratureFunction &qf)
{
MFEM_VERIFY(a->GetVDim() == b->GetVDim(),
"Incompatible vector coefficients: a->GetVDim(): "
<< a->GetVDim() << ", b->GetVDim(): " << b->GetVDim());
const int vdim = a->GetVDim();
MFEM_VERIFY(vdim >= 1, "invalid vdim: " << vdim);
// When running on device, make sure the output data is allocated before any
// local temporary data to reduce potential heap fragmentation:
auto dot_d = qf.Write();
QuadratureFunction qf_a(qf.GetSpace(), vdim);
QuadratureFunction qf_b(qf.GetSpace(), vdim);
a->Project(qf_a);
b->Project(qf_b);
auto a_d = qf_a.Read();
auto b_d = qf_b.Read();
mfem::forall(qf.GetSpace()->GetSize(), [=] MFEM_HOST_DEVICE (int i)
{
const real_t *ai = a_d + i*vdim;
const real_t *bi = b_d + i*vdim;
real_t dot = ai[0]*bi[0];
for (int d = 1; d < vdim; d++)
{
dot += ai[d]*bi[d];
}
dot_d[i] = dot;
});
}
VectorRotProductCoefficient::VectorRotProductCoefficient(VectorCoefficient &A,
VectorCoefficient &B)
: a(&A), b(&B), va(A.GetVDim()), vb(B.GetVDim())
-9
View File
@@ -132,9 +132,6 @@ public:
/// Evaluate the coefficient.
real_t Eval(ElementTransformation &T,
const IntegrationPoint &ip) override;
/// Fill the QuadratureFunction @a qf with the piecewise constant values.
void Project(QuadratureFunction &qf) override;
};
/** @brief A piecewise coefficient with the pieces keyed off the element
@@ -897,9 +894,6 @@ public:
void Eval(DenseMatrix &M, ElementTransformation &T,
const IntegrationRule &ir) override;
/// @copydoc VectorCoefficient::Project(QuadratureFunction &)
void Project(QuadratureFunction &qf) override;
virtual ~GradientGridFunctionCoefficient() { }
};
@@ -1777,9 +1771,6 @@ public:
/// Evaluate the coefficient at @a ip.
real_t Eval(ElementTransformation &T,
const IntegrationPoint &ip) override;
/// @copydoc Coefficient::Project(QuadratureFunction &)
void Project(QuadratureFunction &qf) override;
};
/// Scalar coefficient defined as a cross product of two vectors in the xy-plane.
+4 -4
View File
@@ -912,7 +912,7 @@ ConduitDataCollection::GridFunctionToBlueprintField(mfem::GridFunction *gf,
if (vdim == 1) // scalar case
{
n_field["values"].set_external(const_cast<real_t *>(gf->HostRead()),
n_field["values"].set_external(gf->GetData(),
ndofs);
}
else // vector case
@@ -925,18 +925,18 @@ ConduitDataCollection::GridFunctionToBlueprintField(mfem::GridFunction *gf,
int vdim_stride = (ordering == Ordering::byNODES ? ndofs : 1);
index_t offset = 0;
index_t stride = sizeof(real_t) * entry_stride;
index_t stride = sizeof(double) * entry_stride;
for (int d = 0; d < vdim; d++)
{
std::ostringstream oss;
oss << "v" << d;
std::string comp_name = oss.str();
n_field["values"][comp_name].set_external(const_cast<real_t *>(gf->HostRead()),
n_field["values"][comp_name].set_external(gf->GetData(),
ndofs,
offset,
stride);
offset += sizeof(real_t) * vdim_stride;
offset += sizeof(double) * vdim_stride;
}
}
-266
View File
@@ -1,266 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "derefmat_op.hpp"
#include "fes_kernels.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
namespace internal
{
template <Ordering::Type Order, bool Atomic>
static void DerefMultKernelImpl(const DerefineMatrixOp &op, const Vector &x,
Vector &y)
{
DerefineMatrixOpMultFunctor<Order, Atomic> func;
func.xptr = x.Read();
y.UseDevice();
y = 0.;
func.yptr = y.ReadWrite();
func.bsptr = op.block_storage.Read();
func.boptr = op.block_offsets.Read();
func.brptr = op.block_row_idcs_offsets.Read();
func.bcptr = op.block_col_idcs_offsets.Read();
func.rptr = op.row_idcs.Read();
func.cptr = op.col_idcs.Read();
func.vdims = op.fespace->GetVDim();
func.nblocks = op.block_offsets.Size();
func.width = op.Width() / func.vdims;
func.height = op.Height() / func.vdims;
func.Run(op.max_rows);
}
} // namespace internal
DerefineMatrixOp::DerefineMatrixOp(FiniteElementSpace &fespace_, int old_ndofs,
const Table *old_elem_dof,
const Table *old_elem_fos)
: Operator(fespace_.GetVSize(), old_ndofs * fespace_.GetVDim()),
fespace(&fespace_)
{
static Kernels kernels;
constexpr int max_team_size = 256;
/// TODO: Implement DofTransformation support
MFEM_VERIFY(fespace->Nonconforming(),
"Not implemented for conforming meshes.");
MFEM_VERIFY(old_ndofs, "Missing previous (finer) space.");
MFEM_VERIFY(fespace->GetNDofs() <= old_ndofs,
"Previous space is not finer.");
const CoarseFineTransformations &dtrans =
fespace->GetMesh()->ncmesh->GetDerefinementTransforms();
MFEM_ASSERT(dtrans.embeddings.Size() == old_elem_dof->Size(), "");
const bool is_dg = fespace->FEColl()->GetContType()
== FiniteElementCollection::DISCONTINUOUS;
DenseMatrix localRVO; // for variable-order only
DenseTensor localR[Geometry::NumGeom];
int total_rows = 0;
int total_cols = 0;
block_offsets.SetSize(dtrans.embeddings.Size());
block_offsets.HostWrite();
if (fespace->IsVariableOrder())
{
// TODO: any potential for some compression here?
// determine storage size and offsets
block_offsets[0] = 0;
int total_size = 0;
for (int k = 0; k < dtrans.embeddings.Size(); ++k)
{
const Embedding &emb = dtrans.embeddings[k];
const FiniteElement *fe = fespace->GetFE(emb.parent);
const int ldof = fe->GetDof();
if (k + 1 < dtrans.embeddings.Size())
{
block_offsets[k + 1] = block_offsets[k] + ldof * ldof;
}
total_rows += ldof;
total_cols += ldof;
total_size += ldof * ldof;
}
block_storage.SetSize(total_size);
}
else
{
// compression scheme:
// block_offsets is the start of each block, potentially repeated
// only need to store localR for used shapes
Mesh::GeometryList elem_geoms(*fespace->GetMesh());
int geom_offsets[Geometry::NumGeom];
{
int size = 0;
for (int i = 0; i < elem_geoms.Size(); ++i)
{
fespace->GetLocalDerefinementMatrices(elem_geoms[i],
localR[elem_geoms[i]]);
geom_offsets[elem_geoms[i]] = size;
size += localR[elem_geoms[i]].TotalSize();
}
block_storage.SetSize(size);
// copy blocks into block_storage
auto bs_ptr = block_storage.HostWrite();
for (int i = 0; i < elem_geoms.Size(); ++i)
{
std::copy(localR[elem_geoms[i]].Data(),
localR[elem_geoms[i]].Data()
+ localR[elem_geoms[i]].TotalSize(),
bs_ptr);
bs_ptr += localR[elem_geoms[i]].TotalSize();
}
}
for (int k = 0; k < dtrans.embeddings.Size(); ++k)
{
const Embedding &emb = dtrans.embeddings[k];
Geometry::Type geom =
fespace->GetMesh()->GetElementBaseGeometry(emb.parent);
auto size = localR[geom].SizeI() * localR[geom].SizeJ();
total_rows += localR[geom].SizeI();
total_cols += localR[geom].SizeJ();
// set block offsets and sizes
block_offsets[k] = geom_offsets[geom] + size * emb.matrix;
}
}
row_idcs.SetSize(total_rows);
row_idcs.HostWrite();
col_idcs.SetSize(total_cols);
col_idcs.HostWrite();
block_row_idcs_offsets.SetSize(dtrans.embeddings.Size() + 1);
block_row_idcs_offsets.HostWrite();
block_col_idcs_offsets.SetSize(dtrans.embeddings.Size() + 1);
block_col_idcs_offsets.HostWrite();
block_row_idcs_offsets[0] = 0;
block_col_idcs_offsets[0] = 0;
// compute index information
Array<int> dofs, old_dofs;
max_rows = 1;
{
Array<int> mark(fespace->GetNDofs());
mark = 0;
auto bs_ptr = block_storage.HostWrite();
int ridx = 0;
int cidx = 0;
int num_marked = 0;
for (int k = 0; k < dtrans.embeddings.Size(); k++)
{
const Embedding &emb = dtrans.embeddings[k];
Geometry::Type geom =
fespace->GetMesh()->GetElementBaseGeometry(emb.parent);
if (fespace->IsVariableOrder())
{
const FiniteElement *fe = fespace->GetFE(emb.parent);
const DenseTensor &pmats = dtrans.point_matrices[geom];
const int ldof = fe->GetDof();
IsoparametricTransformation isotr;
isotr.SetIdentityTransformation(geom);
localRVO.SetSize(ldof, ldof);
isotr.SetPointMat(pmats(emb.matrix));
// Local restriction is size ldofxldof assuming that the parent
// and child are of same polynomial order.
fe->GetLocalRestriction(isotr, localRVO);
// copy block
auto size = localRVO.Height() * localRVO.Width();
std::copy(localRVO.Data(), localRVO.Data() + size, bs_ptr);
bs_ptr += size;
}
DenseMatrix &lR =
fespace->IsVariableOrder() ? localRVO : localR[geom](emb.matrix);
block_row_idcs_offsets[k + 1] =
block_row_idcs_offsets[k] + lR.Height();
block_col_idcs_offsets[k + 1] = block_col_idcs_offsets[k] + lR.Width();
max_rows = std::max(lR.Height(), max_rows);
// index information
fespace->elem_dof->GetRow(emb.parent, dofs);
old_elem_dof->GetRow(k, old_dofs);
MFEM_VERIFY(old_dofs.Size() == dofs.Size(),
"Parent and child must have same #dofs.");
for (int i = 0; i < lR.Height(); ++i, ++ridx)
{
if (!std::isfinite(lR(i, 0)))
{
row_idcs[ridx] = INT_MAX;
continue;
}
int r = dofs[i];
int m = (r >= 0) ? r : (-1 - r);
if (is_dg || !mark[m])
{
row_idcs[ridx] = r;
mark[m] = 1;
++num_marked;
}
else
{
row_idcs[ridx] = INT_MAX;
}
}
for (int i = 0; i < lR.Width(); ++i, ++cidx)
{
col_idcs[cidx] = old_dofs[i];
}
}
if (!is_dg && !fespace->IsVariableOrder())
{
MFEM_VERIFY(num_marked * fespace->GetVDim() == Height(),
"internal error: not all rows were set.");
}
}
// if not using GPU, set max_rows/max_cols to zero
if (Device::Allows(Backend::DEVICE_MASK))
{
max_rows = std::min(max_rows, max_team_size);
}
else
{
max_rows = 1;
}
}
void DerefineMatrixOp::Mult(const Vector &x, Vector &y) const
{
const bool is_dg = fespace->FEColl()->GetContType()
== FiniteElementCollection::DISCONTINUOUS;
// DG needs atomic summation
MultKernel::Run(fespace->GetOrdering(), is_dg, *this, x, y);
}
DerefineMatrixOp::Kernels::Kernels()
{
MultKernel::Specialization<Ordering::byNODES, false>::Add();
MultKernel::Specialization<Ordering::byVDIM, false>::Add();
MultKernel::Specialization<Ordering::byNODES, true>::Add();
MultKernel::Specialization<Ordering::byVDIM, true>::Add();
}
template <Ordering::Type Order, bool Atomic>
DerefineMatrixOp::MultKernelType DerefineMatrixOp::MultKernel::Kernel()
{
return internal::DerefMultKernelImpl<Order, Atomic>;
}
DerefineMatrixOp::MultKernelType
DerefineMatrixOp::MultKernel::Fallback(Ordering::Type, bool)
{
MFEM_ABORT("invalid MultKernel parameters");
}
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
-65
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@@ -1,65 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_DEREFMAT_OP
#define MFEM_DEREFMAT_OP
#include "fespace.hpp"
#include "kernel_dispatch.hpp"
namespace mfem
{
/// \cond DO_NOT_DOCUMENT
struct DerefineMatrixOp : public Operator
{
FiniteElementSpace *fespace;
/// offsets into block_storage
Array<int> block_offsets;
/// offsets into row_idcs
Array<int> block_row_idcs_offsets;
/// offsets into col_idcs
Array<int> block_col_idcs_offsets;
/// mapping for row dofs, INT_MAX indicates the block row should be ignored.
/// negative means the row data should be negated.
Array<int> row_idcs;
/// mapping for col dofs, negative means the col data should be negated.
Array<int> col_idcs;
/// dense block matrices which can be reused to construct the full matrix
/// operation. These are stored contiguously and blocks have no restrictions
/// on shape (can be rectangle and differ from block to block).
Vector block_storage;
/// maximum height of any block in block_storage for GPU
/// parallelization, or 1 for CPU runs.
int max_rows;
using MultKernelType = void (*)(const DerefineMatrixOp &, const Vector &,
Vector &);
/// template args: ordering, atomic
MFEM_REGISTER_KERNELS(MultKernel, MultKernelType, (Ordering::Type, bool));
struct Kernels
{
Kernels();
};
void Mult(const Vector &x, Vector &y) const;
DerefineMatrixOp(FiniteElementSpace &fespace_, int old_ndofs,
const Table *old_elem_dof, const Table *old_elem_fos);
};
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
#endif
+10 -43
View File
@@ -231,53 +231,21 @@ public:
const std::vector<FieldDescriptor> &parameters,
const ParMesh &mesh);
/// MultLevel enum to indicate if the T->L Operators are used in the
/// Mult method.
enum MultLevel
{
TVECTOR,
LVECTOR
};
/// @brief Set the MultLevel mode for the DifferentiableOperator.
/// The default is TVECTOR, which means that the Operator will use
/// T->L before Mult and L->T Operators after.
void SetMultLevel(MultLevel level)
{
mult_level = level;
}
/// @brief Compute the action of the operator on a given vector.
///
/// @param solutions_in The solution vector in which to compute the action.
/// This has to be a T-dof vector if MultLevel is set to TVECTOR, or L-dof
/// Vector if MultLevel is set to LVECTOR.
/// @param result_in Result vector of the action of the operator on
/// solutions. The result is a T-dof vector or L-dof vector depending on
/// the MultLevel.
void Mult(const Vector &solutions_in, Vector &result_in) const override
/// @param solutions_t The solution vector in which to compute the action.
/// This has to be a T-dof vector.
/// @param result_t Result vector of the action of the operator on
/// solutions_t. The result is a T-dof vector.
void Mult(const Vector &solutions_t, Vector &result_t) const override
{
MFEM_ASSERT(!action_callbacks.empty(), "no integrators have been set");
if (mult_level == MultLevel::LVECTOR)
prolongation(solutions, solutions_t, solutions_l);
for (auto &action : action_callbacks)
{
get_lvectors(solutions, solutions_in, solutions_l);
result_in = 0.0;
for (auto &action : action_callbacks)
{
action(solutions_l, parameters_l, result_in);
}
}
else
{
prolongation(solutions, solutions_in, solutions_l);
residual_l = 0.0;
for (auto &action : action_callbacks)
{
action(solutions_l, parameters_l, residual_l);
}
prolongation_transpose(residual_l, result_in);
action(solutions_l, parameters_l, residual_l);
}
prolongation_transpose(residual_l, result_t);
}
/// @brief Add a domain integrator to the operator.
@@ -376,8 +344,6 @@ public:
private:
const ParMesh &mesh;
MultLevel mult_level = TVECTOR;
std::vector<action_t> action_callbacks;
std::map<size_t,
std::vector<derivative_action_t>> derivative_action_callbacks;
@@ -387,6 +353,7 @@ private:
std::vector<assemble_derivative_hypreparmatrix_callback_t>>
assemble_derivative_hypreparmatrix_callbacks;
std::vector<FieldDescriptor> solutions;
std::vector<FieldDescriptor> parameters;
// solutions and parameters
+6 -24
View File
@@ -327,8 +327,8 @@ void print_mpi_sync(const std::string& msg)
// First gather string lengths
size_t msg_len = msg.length();
std::vector<size_t> lengths(nranks);
MPI_Gather(&msg_len, 1, MPITypeMap<size_t>::mpi_type,
lengths.data(), 1, MPITypeMap<size_t>::mpi_type,
MPI_Gather(&msg_len, 1, MPI_INT,
lengths.data(), 1, MPI_INT,
0, MPI_COMM_WORLD);
if (myrank == 0)
@@ -568,7 +568,7 @@ struct ThreadBlocks
int z = 1;
};
#if defined(MFEM_USE_CUDA_OR_HIP)
#if (defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP))
template <typename func_t>
__global__ void forall_kernel_shmem(func_t f, int n)
{
@@ -591,7 +591,7 @@ void forall(func_t f,
if (Device::Allows(Backend::CUDA_MASK) ||
Device::Allows(Backend::HIP_MASK))
{
#if defined(MFEM_USE_CUDA_OR_HIP)
#if (defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP))
// int gridsize = (N + Z - 1) / Z;
int num_bytes = num_shmem * sizeof(decltype(shmem));
dim3 block_size(blocks.x, blocks.y, blocks.z);
@@ -987,7 +987,7 @@ get_restriction_transpose(
{
auto RT = [=](const Vector &v_e, Vector &v_l)
{
v_l += v_e;
v_l = v_e;
};
return std::make_tuple(RT, 1);
}
@@ -996,7 +996,7 @@ get_restriction_transpose(
const Operator *R = get_restriction<entity_t>(f, o);
std::function<void(const Vector&, Vector&)> RT = [=](const Vector &x, Vector &y)
{
R->AddMultTranspose(x, y);
R->MultTranspose(x, y);
};
return std::make_tuple(RT, R->Height());
}
@@ -1076,24 +1076,6 @@ void prolongation(const std::vector<FieldDescriptor> fields,
}
}
inline
void get_lvectors(const std::vector<FieldDescriptor> fields,
const Vector &x,
std::vector<Vector> &fields_l)
{
int data_offset = 0;
for (std::size_t i = 0; i < fields.size(); i++)
{
const int sz = GetVSize(fields[i]);
fields_l[i].SetSize(sz);
const Vector x_i(const_cast<Vector&>(x), data_offset, sz);
fields_l[i] = x_i;
data_offset += sz;
}
}
/// @brief Get a transpose prolongation callback for a field descriptor.
///
/// In the special case of a one field operator, the transpose prolongation
-24
View File
@@ -259,30 +259,6 @@ inline void FaceIdxToVolIdx3D(const int index, const int size1d,
i = yz_plane ? level : _i;
}
MFEM_HOST_DEVICE
inline int FaceIdxToVolIdx(int dim, int i, int size1d, int face0, int face1,
int side, int orientation)
{
if (dim == 2)
{
int ix, iy;
internal::FaceIdxToVolIdx2D(i, size1d, face0, face1, side, ix, iy);
return ix + iy*size1d;
}
else if (dim == 3)
{
int ix, iy, iz;
internal::FaceIdxToVolIdx3D(i, size1d, face0, face1, side, orientation,
ix, iy, iz);
return ix + size1d*iy + size1d*size1d*iz;
}
else
{
MFEM_ABORT_KERNEL("Invalid dimension");
return -1;
}
};
} // namespace internal
} // namespace mfem
+7 -3
View File
@@ -401,6 +401,9 @@ FiniteElementCollection *FiniteElementCollection::New(const char *name)
{
MFEM_ABORT("unknown FiniteElementCollection: " << name);
}
MFEM_VERIFY(!strcmp(fec->Name(), name), "input name: \"" << name
<< "\" does not match the created collection name: \""
<< fec->Name() << '"');
return fec;
}
@@ -2456,7 +2459,8 @@ RT_FECollection::RT_FECollection(const int order, const int dim,
const char *cb_name = BasisType::Name(cb_type); // this may abort
MFEM_ABORT("unknown closed BasisType: " << cb_name);
}
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid)
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid &&
ob_type != BasisType::IntegratedGLL)
{
const char *ob_name = BasisType::Name(ob_type); // this may abort
MFEM_ABORT("unknown open BasisType: " << ob_name);
@@ -2514,7 +2518,6 @@ RT_FECollection::RT_FECollection(const int p, const int dim,
const int map_type, const bool signs,
const int ob_type)
: FiniteElementCollection(p + 1)
, dim(dim)
, ob_type(ob_type)
{
if (Quadrature1D::CheckOpen(BasisType::GetQuadrature1D(ob_type)) ==
@@ -2783,7 +2786,8 @@ ND_FECollection::ND_FECollection(const int p, const int dim,
int cp_type = BasisType::GetQuadrature1D(cb_type);
// Error checking
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid)
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid &&
ob_type != BasisType::IntegratedGLL)
{
const char *ob_name = BasisType::Name(ob_type);
MFEM_ABORT("Invalid open basis point type: " << ob_name);
-14
View File
@@ -464,13 +464,6 @@ public:
RT_Trace_FECollection(const int p, const int dim,
const int map_type = FiniteElement::INTEGRAL,
const int ob_type = BasisType::GaussLegendre);
FiniteElementCollection *Clone(int p) const override
{
const int map_type = (strncmp(rt_name, "RT_Trace", 8) == 0)?
(FiniteElement::INTEGRAL):(FiniteElement::VALUE);
return new RT_Trace_FECollection(p, dim, map_type, ob_type);
}
};
/** Arbitrary order discontinuous finite elements defined on the interface
@@ -482,13 +475,6 @@ public:
DG_Interface_FECollection(const int p, const int dim,
const int map_type = FiniteElement::VALUE,
const int ob_type = BasisType::GaussLegendre);
FiniteElementCollection *Clone(int p) const override
{
const int map_type = (strncmp(rt_name, "DG_Iface", 8) == 0)?
(FiniteElement::VALUE):(FiniteElement::INTEGRAL);
return new DG_Interface_FECollection(p, dim, map_type, ob_type);
}
};
/// Arbitrary order H(curl)-conforming Nedelec finite elements.
-249
View File
@@ -1,249 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_FES_KERNELS_HPP
#define MFEM_FES_KERNELS_HPP
#include "../general/forall.hpp"
#include <climits>
namespace mfem
{
/// \cond DO_NOT_DOCUMENT
namespace internal
{
///
/// Implements matrix-vector multiply $y = A x$ for a sparse matrix composed of
/// a sum of smaller dense blocks. There is additional permutation/sign
/// information associated with each block. The base class only implements
/// helper routines such as computing block widths, index into x, index into y,
/// and column in A given sub-block information.
/// @sa DerefineMatrixOpMultFunctor
///
/// @tparam Order vdim ordering for x and y. Note that for Diag = false this is
/// ignored for x as x has a special interleaved order.
/// @tparam Base used for the curious recurring template pattern (CRTP) so the
/// base class can access child class fields without virtual functions
/// @tparam Diag true if this corresponds to the diagonal block (coarse element
/// and fine element are on our rank), false otherwise (coarse element is on our
/// rank, fine element is on a different rank).
///
template <Ordering::Type Order, class Base, bool Diag = true>
struct DerefineMatrixOpFunctorBase;
template <class Base>
struct DerefineMatrixOpFunctorBase<Ordering::byNODES, Base, true>
{
/// block column indices offsets
const int *bcptr;
/// column indices
const int *cptr;
int MFEM_HOST_DEVICE BlockWidth(int k) const
{
return bcptr[k + 1] - bcptr[k];
}
void MFEM_HOST_DEVICE Col(int j, int k, int &col, int &sign) const
{
col = cptr[bcptr[k] + j];
if (col < 0)
{
col = -1 - col;
sign = -sign;
}
}
int MFEM_HOST_DEVICE IndexX(int col, int vdim, int) const
{
return col + vdim * static_cast<const Base *>(this)->width;
}
int MFEM_HOST_DEVICE IndexY(int row, int vdim) const
{
return row + vdim * static_cast<const Base *>(this)->height;
}
};
template <class Base>
struct DerefineMatrixOpFunctorBase<Ordering::byVDIM, Base, true>
{
/// block column indices offsets
const int *bcptr;
/// column indices
const int *cptr;
int MFEM_HOST_DEVICE BlockWidth(int k) const
{
return bcptr[k + 1] - bcptr[k];
}
void MFEM_HOST_DEVICE Col(int j, int k, int &col, int &sign) const
{
col = cptr[bcptr[k] + j];
if (col < 0)
{
col = -1 - col;
sign = -sign;
}
}
int MFEM_HOST_DEVICE IndexX(int col, int vdim, int) const
{
return vdim + col * static_cast<const Base *>(this)->vdims;
}
int MFEM_HOST_DEVICE IndexY(int row, int vdim) const
{
return vdim + row * static_cast<const Base *>(this)->vdims;
}
};
template <class Base>
struct DerefineMatrixOpFunctorBase<Ordering::byNODES, Base, false>
{
/// receive segment offsets
const int *segptr;
/// receive segment index
const int *rsptr;
/// off-diagonal block column offsets
const int *coptr;
/// off-diagonal block widths
const int *bwptr;
int MFEM_HOST_DEVICE BlockWidth(int k) const { return bwptr[k]; }
void MFEM_HOST_DEVICE Col(int j, int k, int &col, int &sign) const
{
col = coptr[k] + j;
}
int MFEM_HOST_DEVICE IndexX(int col, int vdim, int k) const
{
int tmp = rsptr[k];
int segwidth = segptr[tmp + 1] - segptr[tmp];
return segptr[tmp] * static_cast<const Base *>(this)->vdims + col +
vdim * segwidth;
}
int MFEM_HOST_DEVICE IndexY(int row, int vdim) const
{
return row + vdim * static_cast<const Base *>(this)->height;
}
};
template <class Base>
struct DerefineMatrixOpFunctorBase<Ordering::byVDIM, Base, false>
{
/// receive segment offsets
const int *segptr;
/// receive segment index
const int *rsptr;
/// off-diagonal block column offsets
const int *coptr;
/// off-diagonal block widths
const int *bwptr;
int MFEM_HOST_DEVICE BlockWidth(int k) const { return bwptr[k]; }
void MFEM_HOST_DEVICE Col(int j, int k, int &col, int &sign) const
{
col = coptr[k] + j;
}
int MFEM_HOST_DEVICE IndexX(int col, int vdim, int k) const
{
int tmp = rsptr[k];
int segwidth = segptr[tmp + 1] - segptr[tmp];
return segptr[tmp] * static_cast<const Base *>(this)->vdims + col +
vdim * segwidth;
}
int MFEM_HOST_DEVICE IndexY(int row, int vdim) const
{
return vdim + row * static_cast<const Base *>(this)->vdims;
}
};
/// internally used to implement the derefinement operator Mult diagonal
/// block
template <Ordering::Type Order, bool Atomic, bool Diag = true>
struct DerefineMatrixOpMultFunctor
: public DerefineMatrixOpFunctorBase<
Order, DerefineMatrixOpMultFunctor<Order, Atomic, Diag>, Diag>
{
const real_t *xptr;
real_t *yptr;
/// block storage
const real_t *bsptr;
/// block offsets
const int *boptr;
/// block row index offsets
const int *brptr;
/// row indices
const int *rptr;
// number of blocks
int nblocks;
// number of components
int vdims;
/// overall operator height (for vdim = 1)
int height;
/// overall operator width (for vdim = 1)
int width;
void MFEM_HOST_DEVICE operator()(int kidx) const
{
int k = kidx % nblocks;
int vdim = kidx / nblocks;
int block_height = brptr[k + 1] - brptr[k];
int block_width = this->BlockWidth(k);
MFEM_FOREACH_THREAD(i, x, block_height)
{
int row = rptr[brptr[k] + i];
int rsign = 1;
if (row < 0)
{
row = -1 - row;
rsign = -1;
}
if (row < INT_MAX)
{
// row not marked as unused
real_t sum = 0;
for (int j = 0; j < block_width; ++j)
{
int col, sign = rsign;
this->Col(j, k, col, sign);
sum += sign * bsptr[boptr[k] + i + j * block_height] *
xptr[this->IndexX(col, vdim, k)];
}
#if defined(__CUDA_ARCH__) || defined(__HIP_DEVICE_COMPILE__)
if (Atomic)
{
atomicAdd(yptr + this->IndexY(row, vdim), sum);
}
else
#endif
{
yptr[this->IndexY(row, vdim)] += sum;
}
}
}
}
/// N is the max block row size (doesn't have to be a power of 2)
void Run(int N) const { forall_2D(nblocks * vdims, N, 1, *this); }
};
} // namespace internal
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
#endif
+6 -13
View File
@@ -17,9 +17,6 @@
#include "fem.hpp"
#include "ceed/interface/util.hpp"
#include "derefmat_op.hpp"
#include <algorithm>
#include <cmath>
#include <cstdarg>
@@ -27,9 +24,9 @@ using namespace std;
namespace mfem
{
template <>
void Ordering::DofsToVDofs<Ordering::byNODES>(int ndofs, int vdim,
Array<int> &dofs)
template <> void Ordering::
DofsToVDofs<Ordering::byNODES>(int ndofs, int vdim, Array<int> &dofs)
{
// static method
int size = dofs.Size();
@@ -43,9 +40,8 @@ void Ordering::DofsToVDofs<Ordering::byNODES>(int ndofs, int vdim,
}
}
template <>
void Ordering::DofsToVDofs<Ordering::byVDIM>(int ndofs, int vdim,
Array<int> &dofs)
template <> void Ordering::
DofsToVDofs<Ordering::byVDIM>(int ndofs, int vdim, Array<int> &dofs)
{
// static method
int size = dofs.Size();
@@ -59,6 +55,7 @@ void Ordering::DofsToVDofs<Ordering::byVDIM>(int ndofs, int vdim,
}
}
FiniteElementSpace::FiniteElementSpace()
: mesh(NULL), fec(NULL), vdim(0), ordering(Ordering::byNODES),
ndofs(0), nvdofs(0), nedofs(0), nfdofs(0), nbdofs(0),
@@ -4247,11 +4244,7 @@ void FiniteElementSpace::Update(bool want_transform)
case Mesh::DEREFINE:
{
BuildConformingInterpolation();
#if 0
Th.Reset(DerefinementMatrix(old_ndofs, old_elem_dof, old_elem_fos));
#else
Th.Reset(new DerefineMatrixOp(*this, old_ndofs, old_elem_dof, old_elem_fos));
#endif
if (IsVariableOrder())
{
if (cP && cR_hp)
+3 -11
View File
@@ -113,7 +113,7 @@ class QuadratureSpace;
class QuadratureInterpolator;
class FaceQuadratureInterpolator;
class PRefinementTransferOperator;
struct DerefineMatrixOp;
/** @brief Class FiniteElementSpace - responsible for providing FEM view of the
mesh, mainly managing the set of degrees of freedom.
@@ -246,7 +246,6 @@ class FiniteElementSpace
friend class PRefinementTransferOperator;
friend void Mesh::Swap(Mesh &, bool);
friend class LORBase;
friend struct DerefineMatrixOp;
protected:
/// The mesh that FE space lives on (not owned).
@@ -683,12 +682,8 @@ public:
NURBSExtension *GetNURBSext() { return NURBSext; }
NURBSExtension *StealNURBSext();
bool Conforming() const
{
return NURBSext != NULL ||
(mesh->Conforming() && cP == NULL);
}
bool Nonconforming() const { return !Conforming(); }
bool Conforming() const { return mesh->Conforming() && cP == NULL; }
bool Nonconforming() const { return mesh->Nonconforming() || cP != NULL; }
/** Set the prolongation operator of the space to an arbitrary sparse matrix,
creating a copy of the argument. */
@@ -926,9 +921,6 @@ public:
{ return mesh->GetBdrElementType(i); }
/// Returns ElementTransformation for the @a i-th element.
/// @note The returned pointer references an object owned by the associated
/// @a Mesh that will be modified by other calls to `GetElementTransformation`.
/// As such, this pointer should @b not be deleted by the caller.
ElementTransformation *GetElementTransformation(int i) const
{ return mesh->GetElementTransformation(i); }
+2 -46
View File
@@ -68,7 +68,7 @@ GridFunction::GridFunction(Mesh *m, std::istream &input)
Vector::Load(input, fes->GetVSize());
// if the mesh is a legacy (v1.1) NC mesh, it has old vertex ordering
if (fes->Nonconforming() && fes->GetMesh()->ncmesh &&
if (fes->Nonconforming() &&
fes->GetMesh()->ncmesh->IsLegacyLoaded())
{
LegacyNCReorder();
@@ -1374,50 +1374,6 @@ void GridFunction::GetVectorGradientHat(
MultAtB(loc_data_mat, dshape, gh);
}
void GridFunction::GetGradients(const IntegrationRule &ir, Vector &grad,
QVectorLayout ql, MemoryType d_mt) const
{
const FiniteElement &fe = *fes->GetTypicalFE();
const int dim = fe.GetDim();
const int vdim = fes->GetVDim();
const int NE = fes->GetNE();
const int ND = fe.GetDof();
const int NQ = ir.GetNPoints();
MemoryType my_d_mt = (d_mt != MemoryType::DEFAULT) ? d_mt :
Device::GetDeviceMemoryType();
// ql == QVectorLayout::byNODES : NQ x VDIM x DIM x NE
// ql == QVectorLayout::byVDIM : VDIM x DIM x NQPT x NE
grad.SetSize(dim*vdim*NQ*NE, my_d_mt);
const QuadratureInterpolator &qi = *fes->GetQuadratureInterpolator(ir);
qi.SetOutputLayout(ql);
const bool use_tensor_products = UsesTensorBasis(*fes);
qi.DisableTensorProducts(!use_tensor_products);
const ElementDofOrdering e_ordering = use_tensor_products ?
ElementDofOrdering::LEXICOGRAPHIC :
ElementDofOrdering::NATIVE;
const Operator *elem_restr = fes->GetElementRestriction(e_ordering);
// Pre-compute the geometric factors in order to set the desired MemoryType
// they use:
fes->GetMesh()->GetGeometricFactors(
ir, GeometricFactors::JACOBIANS, my_d_mt);
if (elem_restr) // currently, always true
{
Vector f_e(vdim*ND*NE, my_d_mt);
elem_restr->Mult(*this, f_e);
qi.PhysDerivatives(f_e, grad);
}
else
{
qi.PhysDerivatives(*this, grad);
}
}
real_t GridFunction::GetDivergence(ElementTransformation &T) const
{
DofTransformation doftrans;
@@ -2668,7 +2624,7 @@ void GridFunction::ProjectBdrCoefficient(Coefficient *coeff[],
}
for (int i = 0; i < values_counter.Size(); i++)
{
MFEM_ASSERT(bool(values_counter[i]) == bool(ess_vdofs_marker[i]),
MFEM_ASSERT(bool(values_counter[i]) == ess_vdofs_marker[i],
"internal error");
}
#endif
+2 -31
View File
@@ -153,8 +153,7 @@ public:
/// Shortcut for calling SetFromTrueDofs() with GetTrueVector() as argument.
void SetFromTrueVector() { SetFromTrueDofs(GetTrueVector()); }
/** @brief Returns the values at the vertices of element @a i for the 1-based
dimension vdim. */
/// Returns the values in the vertices of i'th element for dimension vdim.
void GetNodalValues(int i, Array<real_t> &nval, int vdim = 1) const;
/** @name Element index Get Value Methods
@@ -309,8 +308,7 @@ public:
/// For a vector grid function, makes sure that the ordering is byNODES.
void ReorderByNodes();
/** @brief Returns the values as a vector at mesh vertices, for the 1-based
dimension vdim. */
/// Return the values as a vector on mesh vertices for dimension vdim.
void GetNodalValues(Vector &nval, int vdim = 1) const;
void GetVectorFieldNodalValues(Vector &val, int comp) const;
@@ -361,33 +359,6 @@ public:
variable. */
void GetVectorGradientHat(ElementTransformation &T, DenseMatrix &gh) const;
/** @brief Evaluate the gradients of the GridFunction at the given quadrature
points, @a ir, in all mesh elements. */
/** This method assumes that all mesh elements are the same type and that the
IntegrationRule @a ir is consistent with that type of element.
@param[in] ir Quadrature points at which the gradients are to be
evaluated.
@param[out] grad Output vector of size `SDIM*VDIM*NQ*NE` where `SDIM` is
the spatial dimention of the mesh, `VDIM` is the vector
dimension of the GridFunction, `NQ` is the number of
quadrature points in @a ir, and `NE` is the number of
elements in the mesh. The layout of @a grad is
determined by the parameter @a ql: when @a ql is
QVectorLayout::byNODES, the layout is
`NQ x VDIM x SDIM x NE`; when @a ql is
QVectorLayout::byVDIM, the layout is
`VDIM x SDIM x NQ x NE`.
@param[in] ql Determines the layout of the output vector @a grad; see
the description of @a grad for details.
@param[in] d_mt MemoryType to use for allocating the output vector
@a grad, as well the GeometricFactors and temporary
vector used by the method. By default, the current
device memory type is used. */
void GetGradients(const IntegrationRule &ir, Vector &grad,
QVectorLayout ql = QVectorLayout::byNODES,
MemoryType d_mt = MemoryType::DEFAULT) const;
/** Compute $ (\int_{\Omega} (*this) \psi_i)/(\int_{\Omega} \psi_i) $,
where $ \psi_i $ are the basis functions for the FE space of avgs.
Both FE spaces should be scalar and on the same mesh. */
+128 -154
View File
@@ -85,9 +85,9 @@ namespace mfem
{
FindPointsGSLIB::FindPointsGSLIB()
: mesh(nullptr),
fec_map_lin(nullptr),
fdataD(nullptr), cr(nullptr), gsl_comm(nullptr),
: mesh(NULL),
fec_map_lin(NULL),
fdataD(NULL), cr(NULL), gsl_comm(NULL),
dim(-1), points_cnt(-1), setupflag(false), default_interp_value(0),
avgtype(AvgType::ARITHMETIC), bdr_tol(1e-8)
{
@@ -97,10 +97,10 @@ FindPointsGSLIB::FindPointsGSLIB()
gf_rst_map.SetSize(4);
for (int i = 0; i < mesh_split.Size(); i++)
{
mesh_split[i] = nullptr;
ir_split[i] = nullptr;
fes_rst_map[i] = nullptr;
gf_rst_map[i] = nullptr;
mesh_split[i] = NULL;
ir_split[i] = NULL;
fes_rst_map[i] = NULL;
gf_rst_map[i] = NULL;
}
gsl_comm = new gslib::comm;
@@ -117,40 +117,27 @@ FindPointsGSLIB::FindPointsGSLIB()
crystal_init(cr, gsl_comm);
}
FindPointsGSLIB::FindPointsGSLIB(Mesh &mesh_in, const double bb_t,
const double newt_tol, const int npt_max)
: FindPointsGSLIB()
{
Setup(mesh_in, bb_t, newt_tol, npt_max);
}
FindPointsGSLIB::~FindPointsGSLIB()
{
FreeData();
#ifdef MFEM_USE_MPI
if (!Mpi::IsFinalized()) // currently segfaults inside gslib otherwise
#endif
crystal_free(cr);
comm_free(gsl_comm);
delete gsl_comm;
delete cr;
for (int i = 0; i < 4; i++)
{
crystal_free(cr);
comm_free(gsl_comm);
delete gsl_comm;
delete cr;
if (mesh_split[i]) { delete mesh_split[i]; mesh_split[i] = NULL; }
if (ir_split[i]) { delete ir_split[i]; ir_split[i] = NULL; }
if (fes_rst_map[i]) { delete fes_rst_map[i]; fes_rst_map[i] = NULL; }
if (gf_rst_map[i]) { delete gf_rst_map[i]; gf_rst_map[i] = NULL; }
}
for (int i = 0; i < mesh_split.Size(); i++)
{
if (mesh_split[i]) { delete mesh_split[i]; mesh_split[i] = nullptr; }
if (ir_split[i]) { delete ir_split[i]; ir_split[i] = nullptr; }
if (fes_rst_map[i]) { delete fes_rst_map[i]; fes_rst_map[i] = nullptr; }
if (gf_rst_map[i]) { delete gf_rst_map[i]; gf_rst_map[i] = nullptr; }
}
if (fec_map_lin) { delete fec_map_lin; fec_map_lin = nullptr; }
if (fec_map_lin) { delete fec_map_lin; fec_map_lin = NULL; }
}
#ifdef MFEM_USE_MPI
FindPointsGSLIB::FindPointsGSLIB(MPI_Comm comm_)
: mesh(nullptr),
fec_map_lin(nullptr),
fdataD(nullptr), cr(nullptr), gsl_comm(nullptr),
: mesh(NULL),
fec_map_lin(NULL),
fdataD(NULL), cr(NULL), gsl_comm(NULL),
dim(-1), points_cnt(-1), setupflag(false), default_interp_value(0),
avgtype(AvgType::ARITHMETIC), bdr_tol(1e-8)
{
@@ -160,10 +147,10 @@ FindPointsGSLIB::FindPointsGSLIB(MPI_Comm comm_)
gf_rst_map.SetSize(4);
for (int i = 0; i < mesh_split.Size(); i++)
{
mesh_split[i] = nullptr;
ir_split[i] = nullptr;
fes_rst_map[i] = nullptr;
gf_rst_map[i] = nullptr;
mesh_split[i] = NULL;
ir_split[i] = NULL;
fes_rst_map[i] = NULL;
gf_rst_map[i] = NULL;
}
gsl_comm = new gslib::comm;
@@ -171,21 +158,12 @@ FindPointsGSLIB::FindPointsGSLIB(MPI_Comm comm_)
comm_init(gsl_comm, comm_);
crystal_init(cr, gsl_comm);
}
FindPointsGSLIB::FindPointsGSLIB(ParMesh &mesh_in, const double bb_t,
const double newt_tol, const int npt_max)
: FindPointsGSLIB(mesh_in.GetComm())
{
Setup(mesh_in, bb_t, newt_tol, npt_max);
}
#endif
void FindPointsGSLIB::Setup(Mesh &m, const double bb_t, const double newt_tol,
const int npt_max)
{
MFEM_VERIFY(m.GetNodes() != NULL, "Mesh nodes are required.");
MFEM_VERIFY(m.SpaceDimension() == m.Dimension(),
"Mesh spatial dimension and reference element dimension must be the same");
const int meshOrder = m.GetNodes()->FESpace()->GetMaxElementOrder();
// call FreeData if FindPointsGSLIB::Setup has been called already
@@ -193,9 +171,37 @@ void FindPointsGSLIB::Setup(Mesh &m, const double bb_t, const double newt_tol,
mesh = &m;
dim = mesh->Dimension();
const unsigned int dof1D = meshOrder+1;
unsigned dof1D = meshOrder + 1;
SetupSplitMeshesAndIntegrationRules(meshOrder);
SetupSplitMeshes();
if (dim == 2)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], meshOrder);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], meshOrder);
}
else if (dim == 3)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], meshOrder);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(4*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], meshOrder);
if (ir_split[2]) { delete ir_split[2]; ir_split[2] = NULL; }
ir_split[2] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[2], ir_split[2], meshOrder);
if (ir_split[3]) { delete ir_split[3]; ir_split[3] = NULL; }
ir_split[3] = new IntegrationRule(8*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[3], ir_split[3], meshOrder);
}
GetNodalValues(mesh->GetNodes(), gsl_mesh);
@@ -1122,18 +1128,13 @@ void FindPointsGSLIB::Interpolate(Mesh &m, const Vector &point_pos,
void FindPointsGSLIB::FreeData()
{
if (!setupflag) { return; }
#ifdef MFEM_USE_MPI
if (!Mpi::IsFinalized()) // currently segfaults inside gslib otherwise
#endif
if (dim == 2)
{
if (dim == 2)
{
findpts_free_2((gslib::findpts_data_2 *)this->fdataD);
}
else
{
findpts_free_3((gslib::findpts_data_3 *)this->fdataD);
}
findpts_free_2((gslib::findpts_data_2 *)this->fdataD);
}
else
{
findpts_free_3((gslib::findpts_data_3 *)this->fdataD);
}
gsl_code.DeleteAll();
gsl_proc.DeleteAll();
@@ -1157,8 +1158,8 @@ void FindPointsGSLIB::FreeData()
void FindPointsGSLIB::SetupSplitMeshes()
{
if (fec_map_lin == nullptr) { fec_map_lin = new H1_FECollection(1, dim); }
if (dim == 2)
fec_map_lin = new H1_FECollection(1, dim);
if (mesh->Dimension() == 2)
{
int Nvert = 7;
int NEsplit = 3;
@@ -1200,7 +1201,7 @@ void FindPointsGSLIB::SetupSplitMeshes()
mesh_split[1] = new Mesh(Mesh::MakeCartesian2D(1, 1,
Element::QUADRILATERAL));
}
else if (dim == 3)
else if (mesh->Dimension() == 3)
{
mesh_split[0] = new Mesh(Mesh::MakeCartesian3D(1, 1, 1,
Element::HEXAHEDRON));
@@ -1345,6 +1346,41 @@ void FindPointsGSLIB::SetupSplitMeshes()
}
}
}
NE_split_total = 0;
split_element_map.SetSize(0);
split_element_index.SetSize(0);
int NEsplit = 0;
for (int e = 0; e < mesh->GetNE(); e++)
{
const Geometry::Type gt = mesh->GetElement(e)->GetGeometryType();
if (gt == Geometry::TRIANGLE || gt == Geometry::PRISM)
{
NEsplit = 3;
}
else if (gt == Geometry::TETRAHEDRON)
{
NEsplit = 4;
}
else if (gt == Geometry::PYRAMID)
{
NEsplit = 8;
}
else if (gt == Geometry::SQUARE || gt == Geometry::CUBE)
{
NEsplit = 1;
}
else
{
MFEM_ABORT("Unsupported geometry type.");
}
NE_split_total += NEsplit;
for (int i = 0; i < NEsplit; i++)
{
split_element_map.Append(e);
split_element_index.Append(i);
}
}
}
void FindPointsGSLIB::SetupIntegrationRuleForSplitMesh(Mesh *meshin,
@@ -1395,79 +1431,6 @@ void FindPointsGSLIB::SetupIntegrationRuleForSplitMesh(Mesh *meshin,
}
}
void FindPointsGSLIB::SetupSplitMeshesAndIntegrationRules(const int order)
{
MFEM_VERIFY(mesh, "Setup FindPointsGSLIB with mesh first.");
const int dof1D = order+1;
const int dim = mesh->Dimension();
SetupSplitMeshes();
if (dim == 2)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], order);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], order);
}
else if (dim == 3)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], order);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(4*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], order);
if (ir_split[2]) { delete ir_split[2]; ir_split[2] = NULL; }
ir_split[2] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[2], ir_split[2], order);
if (ir_split[3]) { delete ir_split[3]; ir_split[3] = NULL; }
ir_split[3] = new IntegrationRule(8*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[3], ir_split[3], order);
}
// Setup map for non tensor-product elements
NE_split_total = 0;
split_element_map.SetSize(0);
split_element_index.SetSize(0);
int NEsplit = 0;
for (int e = 0; e < mesh->GetNE(); e++)
{
const Geometry::Type gt = mesh->GetElement(e)->GetGeometryType();
if (gt == Geometry::TRIANGLE || gt == Geometry::PRISM)
{
NEsplit = 3;
}
else if (gt == Geometry::TETRAHEDRON)
{
NEsplit = 4;
}
else if (gt == Geometry::PYRAMID)
{
NEsplit = 8;
}
else if (gt == Geometry::SQUARE || gt == Geometry::CUBE)
{
NEsplit = 1;
}
else
{
MFEM_ABORT("Unsupported geometry type.");
}
NE_split_total += NEsplit;
for (int i = 0; i < NEsplit; i++)
{
split_element_map.Append(e);
split_element_index.Append(i);
}
}
}
void FindPointsGSLIB::GetNodalValues(const GridFunction *gf_in,
Vector &node_vals)
{
@@ -2118,19 +2081,6 @@ void FindPointsGSLIB::InterpolateGeneral(const GridFunction &field_in,
} // parallel
}
Array<unsigned int> FindPointsGSLIB::GetPointsNotFoundIndices() const
{
Array<unsigned int> nf_idxs;
for (int i = 0; i < gsl_code.Size(); i++)
{
if (gsl_code[i] == 2)
{
nf_idxs.Append(i);
}
}
return nf_idxs;
}
void FindPointsGSLIB::DistributePointInfoToOwningMPIRanks(
Array<unsigned int> &recv_elem, Vector &recv_ref,
Array<unsigned int> &recv_code)
@@ -2436,10 +2386,6 @@ void OversetFindPointsGSLIB::Setup(Mesh &m, const int meshid,
{
MFEM_VERIFY(m.GetNodes() != NULL, "Mesh nodes are required.");
const int meshOrder = m.GetNodes()->FESpace()->GetMaxElementOrder();
const int gfOrder = gfmax ? gfmax->FESpace()->GetMaxElementOrder() :
meshOrder;
MFEM_VERIFY(meshOrder == gfOrder,
"Mesh order must match gfmax order in OversetFindPointsGSLIB.");
// FreeData if OversetFindPointsGSLIB::Setup has been called already
if (setupflag) { FreeData(); }
@@ -2449,7 +2395,35 @@ void OversetFindPointsGSLIB::Setup(Mesh &m, const int meshid,
const FiniteElement *fe = mesh->GetNodalFESpace()->GetTypicalFE();
unsigned dof1D = fe->GetOrder() + 1;
SetupSplitMeshesAndIntegrationRules(meshOrder);
SetupSplitMeshes();
if (dim == 2)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], meshOrder);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], meshOrder);
}
else if (dim == 3)
{
if (ir_split[0]) { delete ir_split[0]; ir_split[0] = NULL; }
ir_split[0] = new IntegrationRule(pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[0], ir_split[0], meshOrder);
if (ir_split[1]) { delete ir_split[1]; ir_split[1] = NULL; }
ir_split[1] = new IntegrationRule(4*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[1], ir_split[1], meshOrder);
if (ir_split[2]) { delete ir_split[2]; ir_split[2] = NULL; }
ir_split[2] = new IntegrationRule(3*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[2], ir_split[2], meshOrder);
if (ir_split[3]) { delete ir_split[3]; ir_split[3] = NULL; }
ir_split[3] = new IntegrationRule(8*pow(dof1D, dim));
SetupIntegrationRuleForSplitMesh(mesh_split[3], ir_split[3], meshOrder);
}
GetNodalValues(mesh->GetNodes(), gsl_mesh);
@@ -2506,7 +2480,7 @@ void OversetFindPointsGSLIB::FindPoints(const Vector &point_pos,
{
MFEM_VERIFY(setupflag, "Use OversetFindPointsGSLIB::Setup before "
"finding points.");
MFEM_VERIFY(overset, "Please use OversetFindPoints for overlapping grids.");
MFEM_VERIFY(overset, "Please setup FindPoints for overlapping grids.");
points_cnt = point_pos.Size() / dim;
unsigned int match = 0; // Don't find points in the mesh if point_id=mesh_id
+3 -28
View File
@@ -13,11 +13,7 @@
#define MFEM_GSLIB
#include "../config/config.hpp"
#ifdef MFEM_USE_MPI
#include "pgridfunc.hpp"
#else
#include "gridfunc.hpp"
#endif
#ifdef MFEM_USE_GSLIB
@@ -135,10 +131,6 @@ protected:
IntegrationRule *irule,
int order);
/// Helper function that calls \ref SetupSplitMeshes and
/// \ref SetupIntegrationRuleForSplitMesh.
virtual void SetupSplitMeshesAndIntegrationRules(const int order);
/// Get GridFunction value at the points expected by GSLIB.
virtual void GetNodalValues(const GridFunction *gf_in, Vector &node_vals);
@@ -198,23 +190,14 @@ protected:
void InterpolateOnDevice(const Vector &field_in_evec, Vector &field_out,
const int nel, const int ncomp,
const int dof1dsol, const int ordering);
public:
FindPointsGSLIB();
FindPointsGSLIB(Mesh &mesh_in, const double bb_t = 0.1,
const double newt_tol = 1.0e-12,
const int npt_max = 256);
#ifdef MFEM_USE_MPI
FindPointsGSLIB(MPI_Comm comm_);
FindPointsGSLIB(ParMesh &mesh_in, const double bb_t = 0.1,
const double newt_tol = 1.0e-12,
const int npt_max = 256);
#endif
virtual ~FindPointsGSLIB();
FindPointsGSLIB(const FindPointsGSLIB&) = delete;
FindPointsGSLIB& operator=(const FindPointsGSLIB&) = delete;
/** Initializes the internal mesh in gslib, by sending the positions of the
Gauss-Lobatto nodes of the input Mesh object \p m.
@@ -229,8 +212,8 @@ public:
@param[in] npt_max (Optional) Number of points for simultaneous
iteration. This alters performance and
memory footprint.*/
void Setup(Mesh &m, const double bb_t = 0.1, const double newt_tol = 1.0e-12,
void Setup(Mesh &m, const double bb_t = 0.1,
const double newt_tol = 1.0e-12,
const int npt_max = 256);
/** Searches positions given in physical space by \p point_pos.
These positions can be ordered byNodes: (XXX...,YYY...,ZZZ) or
@@ -306,12 +289,7 @@ public:
/** Cleans up memory allocated internally by gslib.
Note that in parallel, this must be called before MPI_Finalize(), as it
calls MPI_Comm_free() for internal gslib communicators. FreeData is
also called by the class destructor and there are no memory leaks if the
destructor is called before MPI_Finalize(). If the destructor is called
after MPI_Finalize(), there will be an error because gslib will try to
invoke some MPI functions.
*/
calls MPI_Comm_free() for internal gslib communicators. */
virtual void FreeData();
/// Return code for each point searched by FindPoints: inside element (0), on
@@ -334,9 +312,6 @@ public:
/// point found by FindPoints.
virtual const Vector &GetGSLIBReferencePosition() const { return gsl_ref; }
/// Get array of indices of not-found points.
Array<unsigned int> GetPointsNotFoundIndices() const;
/** @name Methods to support a custom interpolation procedure.
\brief The physical-space point that the user seeks to interpolate at
could be located inside an element on another mpi rank.
+35 -348
View File
@@ -181,7 +181,7 @@ void HyperbolicFormIntegrator::AssembleFaceVector(
// current elements' the number of degrees of freedom
// does not consider the number of equations
const int dof1 = el1.GetDof();
const int dof2 = (Tr.Elem2No >= 0)?(el2.GetDof()):(0);
const int dof2 = el2.GetDof();
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
@@ -219,9 +219,7 @@ void HyperbolicFormIntegrator::AssembleFaceVector(
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int max_el_order = dof2 ? std::max(el1.GetOrder(),
el2.GetOrder()) : el1.GetOrder();
const int order = 2*max_el_order + IntOrderOffset;
const int order = 2*std::max(el1.GetOrder(), el2.GetOrder()) + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
@@ -233,22 +231,18 @@ void HyperbolicFormIntegrator::AssembleFaceVector(
// Calculate basis functions on both elements at the face
el1.CalcShape(Tr.GetElement1IntPoint(), shape1);
el2.CalcShape(Tr.GetElement2IntPoint(), shape2);
// Interpolate elfun at the point
elfun1_mat.MultTranspose(shape1, state1);
if (dof2)
{
// Calculate basis functions on both elements at the face
el2.CalcShape(Tr.GetElement2IntPoint(), shape2);
// Interpolate elfun at the point
elfun2_mat.MultTranspose(shape2, state2);
}
elfun2_mat.MultTranspose(shape2, state2);
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -1.
{
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
// This assume the 1D integration point is in (0,1). This may not work
// if this changes.
nor(0) = (Tr.GetElement1IntPoint().x - 0.5) * 2.0;
}
else
{
@@ -256,18 +250,14 @@ void HyperbolicFormIntegrator::AssembleFaceVector(
}
// Compute F(u+, x) and F(u-, x) with maximum characteristic speed
// Compute hat(F) using evaluated quantities
const real_t speed = (dof2) ? numFlux.Eval(state1, state2, nor, Tr, fluxN):
fluxFunction.ComputeFluxDotN(state1, nor, Tr, fluxN);
const real_t speed = numFlux.Eval(state1, state2, nor, Tr, fluxN);
// Update the global max char speed
max_char_speed = std::max(speed, max_char_speed);
// pre-multiply integration weight to flux
AddMult_a_VWt(-ip.weight*sign, shape1, fluxN, elvect1_mat);
if (dof2)
{
AddMult_a_VWt(+ip.weight*sign, shape2, fluxN, elvect2_mat);
}
AddMult_a_VWt(+ip.weight*sign, shape2, fluxN, elvect2_mat);
}
}
@@ -278,7 +268,7 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
// current elements' the number of degrees of freedom
// does not consider the number of equations
const int dof1 = el1.GetDof();
const int dof2 = (Tr.Elem2No >= 0)?(el2.GetDof()):(0);
const int dof2 = el2.GetDof();
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
@@ -312,9 +302,7 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int max_el_order = dof2 ? std::max(el1.GetOrder(),
el2.GetOrder()) : el1.GetOrder();
const int order = 2*max_el_order + IntOrderOffset;
const int order = 2*std::max(el1.GetOrder(), el2.GetOrder()) + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
@@ -324,25 +312,20 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
Tr.SetAllIntPoints(&ip); // set face and element int. points
// Calculate basis functions of the first element at the face
// Calculate basis functions on both elements at the face
el1.CalcShape(Tr.GetElement1IntPoint(), shape1);
el2.CalcShape(Tr.GetElement2IntPoint(), shape2);
// Interpolate elfun at the point
elfun1_mat.MultTranspose(shape1, state1);
if (dof2)
{
// Calculate basis function of the second element at the face
el2.CalcShape(Tr.GetElement2IntPoint(), shape2);
// Interpolate elfun at the point
elfun2_mat.MultTranspose(shape2, state2);
}
elfun2_mat.MultTranspose(shape2, state2);
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -1.
{
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
// This assume the 1D integration point is in (0,1). This may not work
// if this changes.
nor(0) = (Tr.GetElement1IntPoint().x - 0.5) * 2.0;
}
else
{
@@ -352,14 +335,7 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
// Trial side 1
// Compute hat(J) using evaluated quantities
if (dof2)
{
numFlux.Grad(1, state1, state2, nor, Tr, JDotN);
}
else
{
fluxFunction.ComputeFluxJacobianDotN(state1, nor, Tr, JDotN);
}
numFlux.Grad(1, state1, state2, nor, Tr, JDotN);
const int ioff = fluxFunction.num_equations * dof1;
@@ -384,325 +360,36 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
}
}
if (dof2)
{
// Trial side 2
// Compute hat(J) using evaluated quantities
numFlux.Grad(2, state1, state2, nor, Tr, JDotN);
const int joff = ioff;
for (int di = 0; di < fluxFunction.num_equations; di++)
for (int dj = 0; dj < fluxFunction.num_equations; dj++)
{
// pre-multiply integration weight to Jacobian
const real_t w = +ip.weight * sign * JDotN(di,dj);
for (int j = 0; j < dof2; j++)
{
// Test side 1
for (int i = 0; i < dof1; i++)
{
elmat(i+dof1*di, joff+j+dof2*dj) += w * shape1(i) * shape2(j);
}
// Test side 2
for (int i = 0; i < dof2; i++)
{
elmat(ioff+i+dof2*di, joff+j+dof2*dj) -= w * shape2(i) * shape2(j);
}
}
}
}
}
}
BdrHyperbolicDirichletIntegrator::BdrHyperbolicDirichletIntegrator(
const NumericalFlux &numFlux,
VectorCoefficient &bdrState,
const int IntOrderOffset,
real_t sign)
: NonlinearFormIntegrator(),
numFlux(numFlux),
fluxFunction(numFlux.GetFluxFunction()),
u_vcoeff(bdrState),
IntOrderOffset(IntOrderOffset),
sign(sign),
num_equations(fluxFunction.num_equations)
{
MFEM_VERIFY(fluxFunction.num_equations == bdrState.GetVDim(),
"Flux function does not match the vector dimension of the coefficient!");
#ifndef MFEM_THREAD_SAFE
state_in.SetSize(num_equations);
state_out.SetSize(num_equations);
fluxN.SetSize(num_equations);
JDotN.SetSize(num_equations);
nor.SetSize(fluxFunction.dim);
#endif
ResetMaxCharSpeed();
}
void BdrHyperbolicDirichletIntegrator::AssembleFaceVector(
const FiniteElement &el, const FiniteElement &,
FaceElementTransformations &Tr, const Vector &elfun, Vector &elvect)
{
MFEM_ASSERT(Tr.Elem2No < 0, "Not a boundary face!");
// current elements' the number of degrees of freedom
// does not consider the number of equations
const int dof = el.GetDof();
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
// shape function value at an integration point
Vector shape(dof);
// normal vector (usually not a unit vector)
Vector nor(Tr.GetSpaceDim());
// state value at an integration point - interior
Vector state_in(num_equations);
// state value at an integration point - boundary
Vector state_out(num_equations);
// hat(F)(u,x)
Vector fluxN(num_equations);
#else
shape.SetSize(dof);
#endif
elvect.SetSize(dof * num_equations);
elvect = 0.0;
const DenseMatrix elfun_mat(elfun.GetData(), dof, num_equations);
DenseMatrix elvect_mat(elvect.GetData(), dof, num_equations);
// Obtain integration rule. If integration is rule is given, then use it.
// Otherwise, get (2*p + IntOrderOffset) order integration rule
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int order = 2*el.GetOrder() + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
for (int i = 0; i < ir->GetNPoints(); i++)
{
const IntegrationPoint &ip = ir->IntPoint(i);
Tr.SetAllIntPoints(&ip); // set face and element int. points
// Calculate basis functions at the face
el.CalcShape(Tr.GetElement1IntPoint(), shape);
// Interpolate elfun at the point
elfun_mat.MultTranspose(shape, state_in);
// Evaluate boundary state at the point
u_vcoeff.Eval(state_out, Tr, ip);
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -1.
{
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
}
else
{
CalcOrtho(Tr.Jacobian(), nor);
}
// Compute F(u+, x) and F(u_b, x) with maximum characteristic speed
// Compute hat(F) using evaluated quantities
const real_t speed = numFlux.Eval(state_in, state_out, nor, Tr, fluxN);
// Update the global max char speed
max_char_speed = std::max(speed, max_char_speed);
// pre-multiply integration weight to flux
AddMult_a_VWt(-ip.weight*sign, shape, fluxN, elvect_mat);
}
}
void BdrHyperbolicDirichletIntegrator::AssembleFaceGrad(
const FiniteElement &el, const FiniteElement &,
FaceElementTransformations &Tr, const Vector &elfun, DenseMatrix &elmat)
{
// current elements' the number of degrees of freedom
// does not consider the number of equations
const int dof = el.GetDof();
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
// shape function value at an integration point
Vector shape(dof);
// normal vector (usually not a unit vector)
Vector nor(Tr.GetSpaceDim());
// state value at an integration point - interior
Vector state_in(num_equations);
// state value at an integration point - boundary
Vector state_out(num_equations);
// hat(J)(u,x)
DenseMatrix JDotN(num_equations);
#else
shape.SetSize(dof);
#endif
elmat.SetSize(dof * num_equations);
elmat = 0.0;
const DenseMatrix elfun_mat(elfun.GetData(), dof, num_equations);
// Obtain integration rule. If integration is rule is given, then use it.
// Otherwise, get (2*p + IntOrderOffset) order integration rule
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int order = 2*el.GetOrder() + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
for (int q = 0; q < ir->GetNPoints(); q++)
{
const IntegrationPoint &ip = ir->IntPoint(q);
Tr.SetAllIntPoints(&ip); // set face and element int. points
// Calculate basis functions at the face
el.CalcShape(Tr.GetElement1IntPoint(), shape);
// Interpolate elfun at the point
elfun_mat.MultTranspose(shape, state_in);
// Evaluate boundary state at the point
u_vcoeff.Eval(state_out, Tr, ip);
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -1.
{
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
}
else
{
CalcOrtho(Tr.Jacobian(), nor);
}
// Trial side 2
// Compute hat(J) using evaluated quantities
numFlux.Grad(1, state_in, state_out, nor, Tr, JDotN);
numFlux.Grad(2, state1, state2, nor, Tr, JDotN);
const int joff = ioff;
for (int di = 0; di < fluxFunction.num_equations; di++)
for (int dj = 0; dj < fluxFunction.num_equations; dj++)
{
// pre-multiply integration weight to Jacobian
const real_t w = -ip.weight * sign * JDotN(di,dj);
for (int j = 0; j < dof; j++)
for (int i = 0; i < dof; i++)
const real_t w = +ip.weight * sign * JDotN(di,dj);
for (int j = 0; j < dof2; j++)
{
// Test side 1
for (int i = 0; i < dof1; i++)
{
elmat(i+dof*di, j+dof*dj) += w * shape(i) * shape(j);
elmat(i+dof1*di, joff+j+dof2*dj) += w * shape1(i) * shape2(j);
}
// Test side 2
for (int i = 0; i < dof2; i++)
{
elmat(ioff+i+dof2*di, joff+j+dof2*dj) -= w * shape2(i) * shape2(j);
}
}
}
}
}
BoundaryHyperbolicFlowIntegrator::BoundaryHyperbolicFlowIntegrator(
const FluxFunction &flux, VectorCoefficient &u, real_t alpha_, real_t beta_,
const int IntOrderOffset_)
: fluxFunction(flux), u_vcoeff(u), alpha(alpha_), beta(beta_),
IntOrderOffset(IntOrderOffset_)
{
MFEM_VERIFY(fluxFunction.num_equations == u_vcoeff.GetVDim(),
"Flux function does not match the vector dimension of the coefficient!");
#ifndef MFEM_THREAD_SAFE
state.SetSize(fluxFunction.num_equations);
nor.SetSize(fluxFunction.dim);
fluxN.SetSize(fluxFunction.num_equations);
#endif
ResetMaxCharSpeed();
}
void BoundaryHyperbolicFlowIntegrator::AssembleRHSElementVect(
const FiniteElement &el, ElementTransformation &Tr, Vector &elvect)
{
mfem_error("BoundaryHyperbolicFlowIntegrator::AssembleRHSElementVect\n"
" is not implemented as boundary integrator!\n"
" Use LinearForm::AddBdrFaceIntegrator instead of\n"
" LinearForm::AddBoundaryIntegrator.");
}
void BoundaryHyperbolicFlowIntegrator::AssembleRHSElementVect(
const FiniteElement &el, FaceElementTransformations &Tr, Vector &elvect)
{
// current elements' the number of degrees of freedom
// does not consider the number of equations
const int dof = el.GetDof();
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
// shape function value at an integration point
Vector shape(dof);
// state value at an integration point
Vector state(fluxFunction.num_equations);
// normal vector (usually not a unit vector)
Vector nor(Tr.GetSpaceDim());
// hat(F)(u,x)
Vector fluxN(fluxFunction.num_equations);
#else
shape.SetSize(dof);
#endif
elvect.SetSize(dof * fluxFunction.num_equations);
elvect = 0.0;
DenseMatrix elvect_mat(elvect.GetData(), dof, fluxFunction.num_equations);
// Obtain integration rule. If integration is rule is given, then use it.
// Otherwise, get (2*p + IntOrderOffset) order integration rule
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int order = 2*el.GetOrder() + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
for (int i = 0; i < ir->GetNPoints(); i++)
{
const IntegrationPoint &ip = ir->IntPoint(i);
Tr.SetAllIntPoints(&ip); // set face and element int. points
// Calculate basis functions on both elements at the face
el.CalcShape(Tr.GetElement1IntPoint(), shape);
// Evaluate the coefficient at the point
u_vcoeff.Eval(state, Tr, ip);
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -1.
{
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
}
else
{
CalcOrtho(Tr.Jacobian(), nor);
}
// Compute F(u, x) with maximum characteristic speed
const real_t speed = fluxFunction.ComputeFluxDotN(state, nor, Tr, fluxN);
// Update the global max char speed
max_char_speed = std::max(speed, max_char_speed);
// pre-multiply integration weight to flux
const real_t a = 0.5 * alpha * ip.weight;
const real_t b = beta * ip.weight;
for (int n = 0; n < fluxFunction.num_equations; n++)
{
fluxN(n) = a * fluxN(n) - b * fabs(fluxN(n));
}
AddMultVWt(shape, fluxN, elvect_mat);
}
}
real_t FluxFunction::ComputeFluxDotN(const Vector &U,
const Vector &normal,
FaceElementTransformations &Tr,
+16 -188
View File
@@ -306,14 +306,12 @@ MFEM_DEPRECATED typedef NumericalFlux RiemannSolver;
class HyperbolicFormIntegrator : public NonlinearFormIntegrator
{
private:
// The maximum characteristic speed, updated during element/face vector assembly
real_t max_char_speed;
const NumericalFlux &numFlux; // Numerical flux that maps F(u±,x) to F̂
const FluxFunction &fluxFunction;
const int IntOrderOffset; // integration order offset, 2*p + IntOrderOffset.
const real_t sign;
// The maximum characteristic speed, updated during element/face vector assembly
real_t max_char_speed;
#ifndef MFEM_THREAD_SAFE
// Local storage for element integration
Vector shape; // shape function value at an integration point
@@ -333,9 +331,8 @@ private:
public:
const int num_equations; // the number of equations
/**
* @brief Construct a new HyperbolicFormIntegrator object
* @brief Construct a new Hyperbolic Form Integrator object
*
* @param[in] numFlux numerical flux
* @param[in] IntOrderOffset integration order offset
@@ -346,14 +343,21 @@ public:
const int IntOrderOffset = 0,
const real_t sign = 1.);
/// Reset the maximum characteristic speed to zero
void ResetMaxCharSpeed() { max_char_speed = 0.0; }
/**
* @brief Reset the Max Char Speed 0
*
*/
void ResetMaxCharSpeed()
{
max_char_speed = 0.0;
}
/// Get the maximum characteristic speed
real_t GetMaxCharSpeed() const { return max_char_speed; }
real_t GetMaxCharSpeed()
{
return max_char_speed;
}
/// Get the associated flux function
const FluxFunction &GetFluxFunction() const { return fluxFunction; }
const FluxFunction &GetFluxFunction() { return fluxFunction; }
/**
* @brief Implements (F(u), v) with abstract F computed by
@@ -412,182 +416,6 @@ public:
const Vector &elfun, DenseMatrix &elmat) override;
};
/**
* @brief Abstract boundary hyperbolic form integrator, assembling
* <(u,u_b,x) n, [v]> term for scalar finite elements at the boundary.
*
* This form integrator is coupled with a NumericalFlux that implements the
* numerical flux at the boundary faces. The flux F is obtained from the
* FluxFunction assigned to the aforementioned NumericalFlux with the given
* boundary coefficient for the state u_b.
*
* Note the class can be used for imposing conditions on interior interfaces.
*/
class BdrHyperbolicDirichletIntegrator : public NonlinearFormIntegrator
{
private:
const NumericalFlux &numFlux; // Numerical flux that maps F to F̂
const FluxFunction &fluxFunction;
VectorCoefficient &u_vcoeff; // Boundary state vector coefficient
const int IntOrderOffset; // integration order offset, 2*p + IntOrderOffset.
const real_t sign;
// The maximum characteristic speed, updated during element/face vector assembly
real_t max_char_speed;
#ifndef MFEM_THREAD_SAFE
// Local storage for element integration
Vector shape; // shape function value at an integration point
Vector state_in; // state value at an integration point - interior
Vector state_out; // state value at an integration point - boundary
Vector nor; // normal vector, see mfem::CalcOrtho()
Vector fluxN; // F̂(u⁻,u_b,x) n
DenseMatrix JDotN; // Ĵ(u⁻,u_b,x) n
#endif
public:
const int num_equations; // the number of equations
/**
* @brief Construct a new BdrHyperbolicDirichletIntegrator object
*
* @param[in] numFlux numerical flux
* @param[in] bdrState boundary state coefficient
* @param[in] IntOrderOffset integration order offset
* @param[in] sign sign of the convection term
*/
BdrHyperbolicDirichletIntegrator(
const NumericalFlux &numFlux,
VectorCoefficient &bdrState,
const int IntOrderOffset = 0,
const real_t sign = 1.);
/// Reset the maximum characteristic speed to zero
void ResetMaxCharSpeed() { max_char_speed = 0.0; }
/// Get the maximum characteristic speed
real_t GetMaxCharSpeed() const { return max_char_speed; }
/// Get the associated flux function
const FluxFunction &GetFluxFunction() const { return fluxFunction; }
/**
* @brief Implements <-(u,u_b,x) n, [v]> with abstract computed by
* NumericalFlux::Eval() of the numerical flux object
*
* @param[in] el1 finite element of the interior element
* @param[in] el2 not used
* @param[in] Tr face element transformations
* @param[in] elfun local coefficient of basis for the interior element
* @param[out] elvect evaluated dual vector <-(u,u_b,x) n, [v]>
*/
void AssembleFaceVector(const FiniteElement &el1,
const FiniteElement &el2,
FaceElementTransformations &Tr,
const Vector &elfun, Vector &elvect) override;
/**
* @brief Implements <-(u,u_b,x) n, [v]> with abstract computed by
* NumericalFlux::Grad() of the numerical flux object
*
* @param[in] el1 finite element of the interior element
* @param[in] el2 not used
* @param[in] Tr face element transformations
* @param[in] elfun local coefficient of basis for the interior element
* @param[out] elmat evaluated Jacobian matrix <-(u,u_b,x) n, [v]>
*/
void AssembleFaceGrad(const FiniteElement &el1,
const FiniteElement &el2,
FaceElementTransformations &Tr,
const Vector &elfun, DenseMatrix &elmat) override;
};
/**
* @brief Abstract boundary hyperbolic linear form integrator, assembling
* <ɑ/2 F(u,x) n - β |F(u,x) n|, v> terms for scalar finite elements.
*
* This form integrator is coupled with a FluxFunction that evaluates the
* flux F at the boundary.
*
* Note the upwinding is performed component-wise. For general boundary
* integration with a numerical flux, see BdrHyperbolicDirichletIntegrator.
*/
class BoundaryHyperbolicFlowIntegrator : public LinearFormIntegrator
{
const FluxFunction &fluxFunction;
VectorCoefficient &u_vcoeff;
const real_t alpha, beta;
const int IntOrderOffset; // integration order offset, 2*p + IntOrderOffset.
// The maximum characteristic speed, updated during face vector assembly
real_t max_char_speed;
#ifndef MFEM_THREAD_SAFE
// Local storage for element integration
Vector shape; // shape function value at an integration point
Vector state; // state value at an integration point
Vector nor; // normal vector, see mfem::CalcOrtho()
Vector fluxN; // F(u,x) n
#endif
public:
/**
* @brief Construct a new BoundaryHyperbolicFlowIntegrator object
*
* @param[in] flux flux function
* @param[in] u vector state coefficient
* @param[in] alpha ɑ coefficient (β = ɑ/2)
* @param[in] IntOrderOffset integration order offset
*/
BoundaryHyperbolicFlowIntegrator(const FluxFunction &flux, VectorCoefficient &u,
real_t alpha = -1., int IntOrderOffset = 0)
: BoundaryHyperbolicFlowIntegrator(flux, u, alpha, alpha/2., IntOrderOffset) { }
/**
* @brief Construct a new BoundaryHyperbolicFlowIntegrator object
*
* @param[in] flux flux function
* @param[in] u vector state coefficient
* @param[in] alpha ɑ coefficient
* @param[in] beta β coefficient
* @param[in] IntOrderOffset integration order offset
*/
BoundaryHyperbolicFlowIntegrator(const FluxFunction &flux, VectorCoefficient &u,
real_t alpha, real_t beta, int IntOrderOffset = 0);
/// Reset the maximum characteristic speed to zero
void ResetMaxCharSpeed() { max_char_speed = 0.0; }
/// Get the maximum characteristic speed
real_t GetMaxCharSpeed() const { return max_char_speed; }
/// Get the associated flux function
const FluxFunction &GetFluxFunction() const { return fluxFunction; }
using LinearFormIntegrator::AssembleRHSElementVect;
/**
* @warning Boundary element integration not implemented, use
* AssembleRHSElementVect(const FiniteElement&,
* FaceElementTransformations &, Vector &) instead
*/
void AssembleRHSElementVect(const FiniteElement &el,
ElementTransformation &Tr,
Vector &elvect) override;
/**
* @brief Implements <-F(u,x) n, v> with abstract F computed by
* FluxFunction::ComputeFluxDotN() of the flux function object
*
* @param[in] el finite element
* @param[in] Tr face element transformations
* @param[out] elvect evaluated dual vector <F(u,x) n, v>
*/
void AssembleRHSElementVect(const FiniteElement &el,
FaceElementTransformations &Tr,
Vector &elvect) override;
};
/**
* @brief Rusanov flux, also known as local Lax-Friedrichs,
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+174 -89
View File
@@ -15,86 +15,6 @@
namespace mfem
{
CurlCurlIntegrator::CurlCurlIntegrator() : Q(nullptr), DQ(nullptr), MQ(nullptr)
{
static Kernels kernels;
}
CurlCurlIntegrator::CurlCurlIntegrator(Coefficient &q,
const IntegrationRule *ir)
: BilinearFormIntegrator(ir), Q(&q), DQ(nullptr), MQ(nullptr)
{
static Kernels kernels;
}
CurlCurlIntegrator::CurlCurlIntegrator(DiagonalMatrixCoefficient &dq,
const IntegrationRule *ir)
: BilinearFormIntegrator(ir), Q(nullptr), DQ(&dq), MQ(nullptr)
{
static Kernels kernels;
}
CurlCurlIntegrator::CurlCurlIntegrator(MatrixCoefficient &mq,
const IntegrationRule *ir)
: BilinearFormIntegrator(ir), Q(nullptr), DQ(nullptr), MQ(&mq)
{
static Kernels kernels;
}
/// \cond DO_NOT_DOCUMENT
CurlCurlIntegrator::Kernels::Kernels()
{
CurlCurlIntegrator::AddSpecialization<3, 2, 3>();
CurlCurlIntegrator::AddSpecialization<3, 3, 4>();
CurlCurlIntegrator::AddSpecialization<3, 4, 5>();
CurlCurlIntegrator::AddSpecialization<3, 5, 6>();
}
CurlCurlIntegrator::ApplyKernelType
CurlCurlIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2) { return internal::PACurlCurlApply2D; }
else if (DIM == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
return internal::SmemPACurlCurlApply3D;
}
else
{
return internal::PACurlCurlApply3D;
}
}
else { MFEM_ABORT(""); }
}
CurlCurlIntegrator::DiagonalKernelType
CurlCurlIntegrator::DiagonalPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2)
{
return internal::PACurlCurlAssembleDiagonal2D;
}
else if (DIM == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
return internal::SmemPACurlCurlAssembleDiagonal3D;
}
else
{
return internal::PACurlCurlAssembleDiagonal3D;
}
}
else
{
MFEM_ABORT("");
}
}
/// \endcond DO_NOT_DOCUMENT
void CurlCurlIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
// Assumes tensor-product elements
@@ -157,16 +77,129 @@ void CurlCurlIntegrator::AssemblePA(const FiniteElementSpace &fes)
void CurlCurlIntegrator::AssembleDiagonalPA(Vector& diag)
{
DiagonalPAKernels::Run(dim, dofs1D, quad1D, dofs1D, quad1D, symmetric, ne,
mapsO->B, mapsC->B, mapsO->G, mapsC->G, pa_data,
diag);
if (dim == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
const int ID = (dofs1D << 4) | quad1D;
switch (ID)
{
case 0x23:
return internal::SmemPACurlCurlAssembleDiagonal3D<2,3>(
dofs1D,
quad1D,
symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
case 0x34:
return internal::SmemPACurlCurlAssembleDiagonal3D<3,4>(
dofs1D,
quad1D,
symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
case 0x45:
return internal::SmemPACurlCurlAssembleDiagonal3D<4,5>(
dofs1D,
quad1D,
symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
case 0x56:
return internal::SmemPACurlCurlAssembleDiagonal3D<5,6>(
dofs1D,
quad1D,
symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
default:
return internal::SmemPACurlCurlAssembleDiagonal3D(
dofs1D, quad1D,
symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
}
}
else
{
internal::PACurlCurlAssembleDiagonal3D(dofs1D, quad1D, symmetric, ne,
mapsO->B, mapsC->B,
mapsO->G, mapsC->G,
pa_data, diag);
}
}
else if (dim == 2)
{
internal::PACurlCurlAssembleDiagonal2D(dofs1D, quad1D, ne,
mapsO->B, mapsC->G, pa_data, diag);
}
else
{
MFEM_ABORT("Unsupported dimension!");
}
}
void CurlCurlIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
ApplyPAKernels::Run(dim, dofs1D, quad1D, dofs1D, quad1D, symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt, mapsC->G,
mapsC->Gt, pa_data, x, y, false);
if (dim == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
const int ID = (dofs1D << 4) | quad1D;
switch (ID)
{
case 0x23:
return internal::SmemPACurlCurlApply3D<2,3>(
dofs1D, quad1D,
symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
case 0x34:
return internal::SmemPACurlCurlApply3D<3,4>(
dofs1D, quad1D,
symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
case 0x45:
return internal::SmemPACurlCurlApply3D<4,5>(
dofs1D, quad1D,
symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
case 0x56:
return internal::SmemPACurlCurlApply3D<5,6>(
dofs1D, quad1D,
symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
default:
return internal::SmemPACurlCurlApply3D(
dofs1D, quad1D, symmetric, ne,
mapsO->B, mapsC->B, mapsO->Bt, mapsC->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
}
}
else
{
internal::PACurlCurlApply3D(dofs1D, quad1D, symmetric, ne, mapsO->B, mapsC->B,
mapsO->Bt, mapsC->Bt, mapsC->G, mapsC->Gt,
pa_data, x, y);
}
}
else if (dim == 2)
{
internal::PACurlCurlApply2D(dofs1D, quad1D, ne, mapsO->B, mapsO->Bt,
mapsC->G, mapsC->Gt, pa_data, x, y);
}
else
{
MFEM_ABORT("Unsupported dimension!");
}
}
void CurlCurlIntegrator::AddAbsMultPA(const Vector &x, Vector &y) const
@@ -176,9 +209,61 @@ void CurlCurlIntegrator::AddAbsMultPA(const Vector &x, Vector &y) const
auto absO = mapsO->Abs();
auto absC = mapsC->Abs();
ApplyPAKernels::Run(dim, dofs1D, quad1D, dofs1D, quad1D, symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt, absC.G, absC.Gt,
abs_pa_data, x, y, true);
if (dim == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
const int ID = (dofs1D << 4) | quad1D;
switch (ID)
{
case 0x23:
return internal::SmemPACurlCurlApply3D<2,3>(
dofs1D, quad1D,
symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
case 0x34:
return internal::SmemPACurlCurlApply3D<3,4>(
dofs1D, quad1D,
symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
case 0x45:
return internal::SmemPACurlCurlApply3D<4,5>(
dofs1D, quad1D,
symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
case 0x56:
return internal::SmemPACurlCurlApply3D<5,6>(
dofs1D, quad1D,
symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
default:
return internal::SmemPACurlCurlApply3D<0,0>(
dofs1D, quad1D, symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
}
}
else
{
internal::PACurlCurlApply3D<0,0>(
dofs1D, quad1D, symmetric, ne,
absO.B, absC.B, absO.Bt, absC.Bt, absC.G, absC.Gt,
abs_pa_data, x, y, true);
}
}
else if (dim == 2)
{
internal::PACurlCurlApply2D(dofs1D, quad1D, ne, absO.B, absO.Bt,
absC.G, absC.Gt, abs_pa_data, x, y, true);
}
else
{
MFEM_ABORT("Unsupported dimension!");
}
}
} // namespace mfem
@@ -1,500 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_BILININTEG_DGDIFFUSION_KERNELS_HPP
#define MFEM_BILININTEG_DGDIFFUSION_KERNELS_HPP
#include "../../general/forall.hpp"
#include "../../mesh/face_nbr_geom.hpp"
#include "../fe/face_map_utils.hpp"
#include "../gridfunc.hpp"
#include "../qfunction.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
namespace internal
{
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGDiffusionApply2D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt,
const Array<real_t> &g,
const Array<real_t> &gt, const real_t sigma,
const Vector &pa_data, const Vector &x_,
const Vector &dxdn_, Vector &y_, Vector &dydn_,
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 <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B_ = Reshape(b.Read(), Q1D, D1D);
auto G_ = Reshape(g.Read(), Q1D, D1D);
auto pa =
Reshape(pa_data.Read(), 6, Q1D, NF); // (q, 1/h, J00, J01, J10, J11)
auto x = Reshape(x_.Read(), D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, 2, NF);
auto dxdn = Reshape(dxdn_.Read(), D1D, 2, NF);
auto dydn = Reshape(dydn_.ReadWrite(), D1D, 2, NF);
const int NBX = std::max(D1D, Q1D);
mfem::forall_2D(NF, NBX, 2, [=] MFEM_HOST_DEVICE(int f) -> void
{
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[max_D1D];
MFEM_SHARED real_t u1[max_D1D];
MFEM_SHARED real_t du0[max_D1D];
MFEM_SHARED real_t du1[max_D1D];
MFEM_SHARED real_t Bu0[max_Q1D];
MFEM_SHARED real_t Bu1[max_Q1D];
MFEM_SHARED real_t Bdu0[max_Q1D];
MFEM_SHARED real_t Bdu1[max_Q1D];
MFEM_SHARED real_t r[max_Q1D];
MFEM_SHARED real_t BG[2 * max_D1D * max_Q1D];
DeviceMatrix B(BG, Q1D, D1D);
DeviceMatrix G(BG + D1D * Q1D, Q1D, D1D);
if (MFEM_THREAD_ID(y) == 0)
{
MFEM_FOREACH_THREAD(p, x, Q1D)
{
for (int d = 0; d < D1D; ++d)
{
B(p, d) = B_(p, d);
G(p, d) = G_(p, d);
}
}
}
MFEM_SYNC_THREAD;
// copy edge values to u0, u1 and copy edge normals to du0, du1
MFEM_FOREACH_THREAD(side, y, 2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d, x, D1D)
{
u[d] = x(d, side, f);
du[d] = dxdn(d, side, f);
}
}
MFEM_SYNC_THREAD;
// eval @ quad points
MFEM_FOREACH_THREAD(side, y, 2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
real_t *Bu = (side == 0) ? Bu0 : Bu1;
real_t *Bdu = (side == 0) ? Bdu0 : Bdu1;
MFEM_FOREACH_THREAD(p, x, Q1D)
{
const real_t Je_side[] = {pa(2 + 2 * side, p, f),
pa(2 + 2 * side + 1, p, f)
};
Bu[p] = 0.0;
Bdu[p] = 0.0;
for (int d = 0; d < D1D; ++d)
{
const real_t b = B(p, d);
const real_t g = G(p, d);
Bu[p] += b * u[d];
Bdu[p] += Je_side[0] * b * du[d] + Je_side[1] * g * u[d];
}
}
}
MFEM_SYNC_THREAD;
// term - < {Q du/dn}, [v] > + kappa * < {Q/h} [u], [v] >:
if (MFEM_THREAD_ID(y) == 0)
{
MFEM_FOREACH_THREAD(p, x, Q1D)
{
const real_t q = pa(0, p, f);
const real_t hi = pa(1, p, f);
const real_t jump = Bu0[p] - Bu1[p];
const real_t avg = Bdu0[p] + Bdu1[p]; // = {Q du/dn} * w * det(J)
r[p] = -avg + hi * q * jump;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(d, x, D1D)
{
real_t Br = 0.0;
for (int p = 0; p < Q1D; ++p)
{
Br += B(p, d) * r[p];
}
u0[d] = Br; // overwrite u0, u1
u1[d] = -Br;
} // for d
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, y, 2)
{
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d, x, D1D) { du[d] = 0.0; }
}
MFEM_SYNC_THREAD;
// term sigma * < [u], {Q dv/dn} >
MFEM_FOREACH_THREAD(side, y, 2)
{
real_t *const du = (side == 0) ? du0 : du1;
real_t *const u = (side == 0) ? u0 : u1;
MFEM_FOREACH_THREAD(d, x, D1D)
{
for (int p = 0; p < Q1D; ++p)
{
const real_t Je[] = {pa(2 + 2 * side, p, f),
pa(2 + 2 * side + 1, p, f)
};
const real_t jump = Bu0[p] - Bu1[p];
const real_t r_p = Je[0] * jump; // normal
const real_t w_p = Je[1] * jump; // tangential
du[d] += sigma * B(p, d) * r_p;
u[d] += sigma * G(p, d) * w_p;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, y, 2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d, x, D1D)
{
y(d, side, f) += u[d];
dydn(d, side, f) += du[d];
}
}
}); // mfem::forall
}
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGDiffusionApply3D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt,
const Array<real_t> &g,
const Array<real_t> &gt, const real_t sigma,
const Vector &pa_data, const Vector &x_,
const Vector &dxdn_, Vector &y_, Vector &dydn_,
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 <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B_ = Reshape(b.Read(), Q1D, D1D);
auto G_ = Reshape(g.Read(), Q1D, D1D);
// (J0[0], J0[1], J0[2], J1[0], J1[1], J1[2], q/h)
auto pa = Reshape(pa_data.Read(), 7, Q1D, Q1D, NF);
auto x = Reshape(x_.Read(), D1D, D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, 2, NF);
auto dxdn = Reshape(dxdn_.Read(), D1D, D1D, 2, NF);
auto dydn = Reshape(dydn_.ReadWrite(), D1D, D1D, 2, NF);
const int NBX = std::max(D1D, Q1D);
mfem::forall_3D(NF, NBX, NBX, 2, [=] MFEM_HOST_DEVICE(int f) -> void
{
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[max_Q1D][max_Q1D];
MFEM_SHARED real_t u1[max_Q1D][max_Q1D];
MFEM_SHARED real_t du0[max_Q1D][max_Q1D];
MFEM_SHARED real_t du1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Gu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Gu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bdu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bdu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t kappa_Qh[max_Q1D][max_Q1D];
MFEM_SHARED real_t nJe[2][max_Q1D][max_Q1D][3];
MFEM_SHARED real_t BG[2 * max_D1D * max_Q1D];
// some buffers are reused multiple times, but for clarity have new names:
real_t(*Bj0)[max_Q1D] = Bu0;
real_t(*Bj1)[max_Q1D] = Bu1;
real_t(*Bjn0)[max_Q1D] = Bdu0;
real_t(*Bjn1)[max_Q1D] = Bdu1;
real_t(*Gj0)[max_Q1D] = Gu0;
real_t(*Gj1)[max_Q1D] = Gu1;
DeviceMatrix B(BG, Q1D, D1D);
DeviceMatrix G(BG + D1D * Q1D, Q1D, D1D);
// copy face values to u0, u1 and copy normals to du0, du1
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t(*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t(*du)[max_Q1D] = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
u[d2][d1] = x(d1, d2, side,
f); // copy transposed for better memory access
du[d2][d1] = dxdn(d1, d2, side, f);
}
}
MFEM_FOREACH_THREAD(p1, x, Q1D)
{
MFEM_FOREACH_THREAD(p2, y, Q1D)
{
for (int l = 0; l < 3; ++l)
{
nJe[side][p2][p1][l] = pa(3 * side + l, p1, p2, f);
}
if (side == 0)
{
kappa_Qh[p2][p1] = pa(6, p1, p2, f);
}
}
}
if (side == 0)
{
MFEM_FOREACH_THREAD(p, x, Q1D)
{
MFEM_FOREACH_THREAD(d, y, D1D)
{
B(p, d) = B_(p, d);
G(p, d) = G_(p, d);
}
}
}
}
MFEM_SYNC_THREAD;
// eval u and normal derivative @ quad points
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t(*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t(*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t(*Bu)[max_Q1D] = (side == 0) ? Bu0 : Bu1;
real_t(*Bdu)[max_Q1D] = (side == 0) ? Bdu0 : Bdu1;
real_t(*Gu)[max_Q1D] = (side == 0) ? Gu0 : Gu1;
MFEM_FOREACH_THREAD(p1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t bu = 0.0;
real_t bdu = 0.0;
real_t gu = 0.0;
for (int d1 = 0; d1 < D1D; ++d1)
{
const real_t b = B(p1, d1);
const real_t g = G(p1, d1);
bu += b * u[d2][d1];
bdu += b * du[d2][d1];
gu += g * u[d2][d1];
}
Bu[p1][d2] = bu;
Bdu[p1][d2] = bdu;
Gu[p1][d2] = gu;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t(*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t(*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t(*Bu)[max_Q1D] = (side == 0) ? Bu0 : Bu1;
real_t(*Gu)[max_Q1D] = (side == 0) ? Gu0 : Gu1;
real_t(*Bdu)[max_Q1D] = (side == 0) ? Bdu0 : Bdu1;
MFEM_FOREACH_THREAD(p2, x, Q1D)
{
MFEM_FOREACH_THREAD(p1, y, Q1D)
{
const real_t *Je = nJe[side][p2][p1];
real_t bbu = 0.0;
real_t bgu = 0.0;
real_t gbu = 0.0;
real_t bbdu = 0.0;
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(p2, d2);
const real_t g = G(p2, d2);
bbu += b * Bu[p1][d2];
gbu += g * Bu[p1][d2];
bgu += b * Gu[p1][d2];
bbdu += b * Bdu[p1][d2];
}
u[p2][p1] = bbu;
// du <- Q du/dn * w * det(J)
du[p2][p1] = Je[0] * bbdu + Je[1] * bgu + Je[2] * gbu;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t(*Bj)[max_Q1D] = (side == 0) ? Bj0 : Bj1;
real_t(*Bjn)[max_Q1D] = (side == 0) ? Bjn0 : Bjn1;
real_t(*Gj)[max_Q1D] = (side == 0) ? Gj0 : Gj1;
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(p2, y, Q1D)
{
real_t bj = 0.0;
real_t bjn = 0.0;
real_t gj = 0.0;
real_t br = 0.0;
for (int p1 = 0; p1 < Q1D; ++p1)
{
const real_t b = B(p1, d1);
const real_t g = G(p1, d1);
const real_t *Je = nJe[side][p2][p1];
const real_t jump = u0[p2][p1] - u1[p2][p1];
const real_t avg = du0[p2][p1] + du1[p2][p1];
// r = - < {Q du/dn}, [v] > + kappa * < {Q/h} [u], [v] >
const real_t r = -avg + kappa_Qh[p2][p1] * jump;
// bj, gj, bjn contribute to sigma term
bj += b * Je[0] * jump;
gj += g * Je[1] * jump;
bjn += b * Je[2] * jump;
br += b * r;
}
Bj[d1][p2] = sigma * bj;
Bjn[d1][p2] = sigma * bjn;
// group br and gj together since we will multiply them both by B
// and then sum
const real_t sgn = (side == 0) ? 1.0 : -1.0;
Gj[d1][p2] = sgn * br + sigma * gj;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t(*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t(*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t(*Bj)[max_Q1D] = (side == 0) ? Bj0 : Bj1;
real_t(*Bjn)[max_Q1D] = (side == 0) ? Bjn0 : Bjn1;
real_t(*Gj)[max_Q1D] = (side == 0) ? Gj0 : Gj1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
real_t bbj = 0.0;
real_t gbj = 0.0;
real_t bgj = 0.0;
for (int p2 = 0; p2 < Q1D; ++p2)
{
const real_t b = B(p2, d2);
const real_t g = G(p2, d2);
bbj += b * Bj[d1][p2];
bgj += b * Gj[d1][p2];
gbj += g * Bjn[d1][p2];
}
du[d2][d1] = bbj;
u[d2][d1] = bgj + gbj;
}
}
}
MFEM_SYNC_THREAD;
// map back to y and dydn
MFEM_FOREACH_THREAD(side, z, 2)
{
const real_t(*u)[max_Q1D] = (side == 0) ? u0 : u1;
const real_t(*du)[max_Q1D] = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
y(d1, d2, side, f) += u[d2][d1];
dydn(d1, d2, side, f) += du[d2][d1];
}
}
}
});
}
} // namespace internal
template <int DIM, int D1D, int Q1D>
DGDiffusionIntegrator::ApplyKernelType
DGDiffusionIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PADGDiffusionApply2D<D1D, Q1D>;
}
else if constexpr (DIM == 3)
{
return internal::PADGDiffusionApply3D<D1D, Q1D>;
}
MFEM_ABORT("");
}
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
#endif
+591 -163
View File
@@ -11,39 +11,42 @@
#include "../../general/forall.hpp"
#include "../../mesh/face_nbr_geom.hpp"
#include "../fe/face_map_utils.hpp"
#include "../gridfunc.hpp"
#include "../qfunction.hpp"
#include "../fe/face_map_utils.hpp"
#include "bilininteg_dgdiffusion_kernels.hpp"
using namespace std;
namespace mfem
{
static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
static void PADGDiffusionSetup2D(const int Q1D,
const int NE,
const int NF,
const Array<real_t> &w,
const GeometricFactors &el_geom,
const FaceGeometricFactors &face_geom,
const FaceNeighborGeometricFactors *nbr_geom,
const Vector &q, const real_t sigma,
const real_t kappa, Vector &pa_data,
const Vector &q,
const real_t sigma,
const real_t kappa,
Vector &pa_data,
const Array<int> &face_info_)
{
const auto J_loc = Reshape(el_geom.J.Read(), Q1D, Q1D, 2, 2, NE);
const auto detJe_loc = Reshape(el_geom.detJ.Read(), Q1D, Q1D, NE);
const int n_nbr = nbr_geom ? nbr_geom->num_neighbor_elems : 0;
const auto J_shared =
Reshape(nbr_geom ? nbr_geom->J.Read() : nullptr, Q1D, Q1D, 2, 2, n_nbr);
const auto detJ_shared =
Reshape(nbr_geom ? nbr_geom->detJ.Read() : nullptr, Q1D, Q1D, n_nbr);
const auto J_shared = Reshape(nbr_geom ? nbr_geom->J.Read() : nullptr,
Q1D, Q1D, 2, 2, n_nbr);
const auto detJ_shared = Reshape(nbr_geom ? nbr_geom->detJ.Read() : nullptr,
Q1D, Q1D, n_nbr);
const auto detJf = Reshape(face_geom.detJ.Read(), Q1D, NF);
const auto n = Reshape(face_geom.normal.Read(), Q1D, 2, NF);
const bool const_q = (q.Size() == 1);
const auto Q =
const_q ? Reshape(q.Read(), 1, 1) : Reshape(q.Read(), Q1D, NF);
const auto Q = const_q ? Reshape(q.Read(), 1,1) : Reshape(q.Read(), Q1D,NF);
const auto W = w.Read();
@@ -53,7 +56,7 @@ static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
// (q, 1/h, J0_0, J0_1, J1_0, J1_1)
auto pa = Reshape(pa_data.Write(), 6, Q1D, NF);
mfem::forall(NF, [=] MFEM_HOST_DEVICE(int f) -> void
mfem::forall(NF, [=] MFEM_HOST_DEVICE (int f) -> void
{
const int normal_dir[] = {face_info(0, f), face_info(1, f)};
const int fid[] = {face_info(4, f), face_info(5, f)};
@@ -71,7 +74,7 @@ static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
for (int p = 0; p < Q1D; ++p)
{
const real_t Qp = const_q ? Q(0, 0) : Q(p, f);
const real_t Qp = const_q ? Q(0,0) : Q(p, f);
pa(0, p, f) = kappa * Qp * W[p] * detJf(p, f);
real_t hi = 0.0;
@@ -82,19 +85,17 @@ static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
// Always opposite direction in "native" ordering
// Need to multiply the native=>lex0 with native=>lex1 and negate
const int sgn = (side == 1) ? -1 * sgn0 * sgn1 : 1;
const int sgn = (side == 1) ? -1*sgn0*sgn1 : 1;
const int e = el[side];
const auto &J = (side == 1 && shared) ? J_shared : J_loc;
const auto &detJ = (side == 1 && shared) ? detJ_shared : detJe_loc;
real_t nJi[2];
nJi[0] =
n(p, 0, f) * J(i, j, 1, 1, e) - n(p, 1, f) * J(i, j, 0, 1, e);
nJi[1] =
-n(p, 0, f) * J(i, j, 1, 0, e) + n(p, 1, f) * J(i, j, 0, 0, e);
nJi[0] = n(p,0,f)*J(i,j, 1,1, e) - n(p,1,f)*J(i,j,0,1,e);
nJi[1] = -n(p,0,f)*J(i,j,1,0, e) + n(p,1,f)*J(i,j,0,0,e);
const real_t dJe = detJ(i, j, e);
const real_t dJe = detJ(i,j,e);
const real_t dJf = detJf(p, f);
const real_t w = factor * Qp * W[p] * dJf / dJe;
@@ -103,9 +104,9 @@ static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
const int ti = 1 - ni;
// Normal
pa(2 + 2 * side + 0, p, f) = w * nJi[ni];
pa(2 + 2*side + 0, p, f) = w * nJi[ni];
// Tangential
pa(2 + 2 * side + 1, p, f) = sgn * w * nJi[ti];
pa(2 + 2*side + 1, p, f) = sgn * w * nJi[ti];
hi += factor * dJf / dJe;
}
@@ -121,43 +122,47 @@ static void PADGDiffusionSetup2D(const int Q1D, const int NE, const int NF,
});
}
static void PADGDiffusionSetup3D(const int Q1D, const int NE, const int NF,
static void PADGDiffusionSetup3D(const int Q1D,
const int NE,
const int NF,
const Array<real_t> &w,
const GeometricFactors &el_geom,
const FaceGeometricFactors &face_geom,
const FaceNeighborGeometricFactors *nbr_geom,
const Vector &q, const real_t sigma,
const real_t kappa, Vector &pa_data,
const Vector &q,
const real_t sigma,
const real_t kappa,
Vector &pa_data,
const Array<int> &face_info_)
{
const auto J_loc = Reshape(el_geom.J.Read(), Q1D, Q1D, Q1D, 3, 3, NE);
const auto detJe_loc = Reshape(el_geom.detJ.Read(), Q1D, Q1D, Q1D, NE);
const int n_nbr = nbr_geom ? nbr_geom->num_neighbor_elems : 0;
const auto J_shared = Reshape(nbr_geom ? nbr_geom->J.Read() : nullptr, Q1D,
Q1D, Q1D, 3, 3, n_nbr);
const auto detJ_shared =
Reshape(nbr_geom ? nbr_geom->detJ.Read() : nullptr, Q1D, Q1D, Q1D, n_nbr);
const auto J_shared = Reshape(nbr_geom ? nbr_geom->J.Read() : nullptr,
Q1D, Q1D, Q1D, 3, 3, n_nbr);
const auto detJ_shared = Reshape(nbr_geom ? nbr_geom->detJ.Read() : nullptr,
Q1D, Q1D, Q1D, n_nbr);
const auto detJf = Reshape(face_geom.detJ.Read(), Q1D, Q1D, NF);
const auto n = Reshape(face_geom.normal.Read(), Q1D, Q1D, 3, NF);
const bool const_q = (q.Size() == 1);
const auto Q =
const_q ? Reshape(q.Read(), 1, 1, 1) : Reshape(q.Read(), Q1D, Q1D, NF);
const auto Q = const_q ? Reshape(q.Read(), 1, 1, 1)
: Reshape(q.Read(), Q1D, Q1D, NF);
const auto W = Reshape(w.Read(), Q1D, Q1D);
// (perm[0], perm[1], perm[2], element_index, local_face_id, orientation)
const auto face_info = Reshape(face_info_.Read(), 6, 2, NF);
constexpr int _el_ = 3; // offset in face_info for element index
constexpr int _el_ = 3; // offset in face_info for element index
constexpr int _fid_ = 4; // offset in face_info for local face id
constexpr int _or_ = 5; // offset in face_info for orientation
constexpr int _or_ = 5; // offset in face_info for orientation
// (J00, J01, J02, J10, J11, J12, q/h)
const auto pa = Reshape(pa_data.Write(), 7, Q1D, Q1D, NF);
mfem::forall_2D(NF, Q1D, Q1D, [=] MFEM_HOST_DEVICE(int f) -> void
mfem::forall_2D(NF, Q1D, Q1D, [=] MFEM_HOST_DEVICE (int f) -> void
{
MFEM_SHARED int perm[2][3];
MFEM_SHARED int el[2];
@@ -167,7 +172,10 @@ static void PADGDiffusionSetup3D(const int Q1D, const int NE, const int NF,
MFEM_FOREACH_THREAD(side, x, 2)
{
MFEM_FOREACH_THREAD(i, y, 3) { perm[side][i] = face_info(i, side, f); }
MFEM_FOREACH_THREAD(i, y, 3)
{
perm[side][i] = face_info(i, side, f);
}
if (MFEM_THREAD_ID(y) == 0)
{
@@ -192,16 +200,16 @@ static void PADGDiffusionSetup3D(const int Q1D, const int NE, const int NF,
{
MFEM_FOREACH_THREAD(p2, y, Q1D)
{
const real_t Qp = const_q ? Q(0, 0, 0) : Q(p1, p2, f);
const real_t dJf = detJf(p1, p2, f);
const real_t Qp = const_q ? Q(0,0,0) : Q(p1, p2, f);
const real_t dJf = detJf(p1,p2,f);
real_t hi = 0.0;
for (int side = 0; side < nsides; ++side)
{
int i, j, k;
internal::FaceIdxToVolIdx3D(p1 + Q1D * p2, Q1D, fid[0], fid[1],
side, ortn[1], i, j, k);
internal::FaceIdxToVolIdx3D(
p1 + Q1D*p2, Q1D, fid[0], fid[1], side, ortn[1], i, j, k);
const int e = el[side];
const auto &J = shared[side] ? J_shared : J_loc;
@@ -209,45 +217,27 @@ static void PADGDiffusionSetup3D(const int Q1D, const int NE, const int NF,
// *INDENT-OFF*
real_t nJi[3];
nJi[0] = (-J(i, j, k, 1, 2, e) * J(i, j, k, 2, 1, e) +
J(i, j, k, 1, 1, e) * J(i, j, k, 2, 2, e)) *
n(p1, p2, 0, f) +
(J(i, j, k, 0, 2, e) * J(i, j, k, 2, 1, e) -
J(i, j, k, 0, 1, e) * J(i, j, k, 2, 2, e)) *
n(p1, p2, 1, f) +
(-J(i, j, k, 0, 2, e) * J(i, j, k, 1, 1, e) +
J(i, j, k, 0, 1, e) * J(i, j, k, 1, 2, e)) *
n(p1, p2, 2, f);
nJi[0] = ( -J(i,j,k, 1,2, e)*J(i,j,k, 2,1, e) + J(i,j,k, 1,1, e)*J(i,j,k, 2,2, e)) * n(p1,p2, 0, f)
+ ( J(i,j,k, 0,2, e)*J(i,j,k, 2,1, e) - J(i,j,k, 0,1, e)*J(i,j,k, 2,2, e)) * n(p1,p2, 1, f)
+ (-J(i,j,k, 0,2, e)*J(i,j,k, 1,1, e) + J(i,j,k, 0,1, e)*J(i,j,k, 1,2, e)) * n(p1,p2, 2, f);
nJi[1] = (J(i, j, k, 1, 2, e) * J(i, j, k, 2, 0, e) -
J(i, j, k, 1, 0, e) * J(i, j, k, 2, 2, e)) *
n(p1, p2, 0, f) +
(-J(i, j, k, 0, 2, e) * J(i, j, k, 2, 0, e) +
J(i, j, k, 0, 0, e) * J(i, j, k, 2, 2, e)) *
n(p1, p2, 1, f) +
(J(i, j, k, 0, 2, e) * J(i, j, k, 1, 0, e) -
J(i, j, k, 0, 0, e) * J(i, j, k, 1, 2, e)) *
n(p1, p2, 2, f);
nJi[1] = ( J(i,j,k, 1,2, e)*J(i,j,k, 2,0, e) - J(i,j,k, 1,0, e)*J(i,j,k, 2,2, e)) * n(p1,p2, 0, f)
+ (-J(i,j,k, 0,2, e)*J(i,j,k, 2,0, e) + J(i,j,k, 0,0, e)*J(i,j,k, 2,2, e)) * n(p1,p2, 1, f)
+ ( J(i,j,k, 0,2, e)*J(i,j,k, 1,0, e) - J(i,j,k, 0,0, e)*J(i,j,k, 1,2, e)) * n(p1,p2, 2, f);
nJi[2] = (-J(i, j, k, 1, 1, e) * J(i, j, k, 2, 0, e) +
J(i, j, k, 1, 0, e) * J(i, j, k, 2, 1, e)) *
n(p1, p2, 0, f) +
(J(i, j, k, 0, 1, e) * J(i, j, k, 2, 0, e) -
J(i, j, k, 0, 0, e) * J(i, j, k, 2, 1, e)) *
n(p1, p2, 1, f) +
(-J(i, j, k, 0, 1, e) * J(i, j, k, 1, 0, e) +
J(i, j, k, 0, 0, e) * J(i, j, k, 1, 1, e)) *
n(p1, p2, 2, f);
nJi[2] = ( -J(i,j,k, 1,1, e)*J(i,j,k, 2,0, e) + J(i,j,k, 1,0, e)*J(i,j,k, 2,1, e)) * n(p1,p2, 0, f)
+ ( J(i,j,k, 0,1, e)*J(i,j,k, 2,0, e) - J(i,j,k, 0,0, e)*J(i,j,k, 2,1, e)) * n(p1,p2, 1, f)
+ (-J(i,j,k, 0,1, e)*J(i,j,k, 1,0, e) + J(i,j,k, 0,0, e)*J(i,j,k, 1,1, e)) * n(p1,p2, 2, f);
// *INDENT-ON*
const real_t dJe = detJe(i, j, k, e);
const real_t dJe = detJe(i,j,k,e);
const real_t val = factor * Qp * W(p1, p2) * dJf / dJe;
for (int d = 0; d < 3; ++d)
{
const int idx = std::abs(perm[side][d]) - 1;
const int sgn = (perm[side][d] < 0) ? -1 : 1;
pa(3 * side + d, p1, p2, f) = sgn * val * nJi[idx];
pa(3*side + d, p1, p2, f) = sgn * val * nJi[idx];
}
hi += factor * dJf / dJe;
@@ -267,8 +257,7 @@ static void PADGDiffusionSetup3D(const int Q1D, const int NE, const int NF,
}
static void PADGDiffusionSetupFaceInfo2D(const int nf, const Mesh &mesh,
const FaceType type,
Array<int> &face_info_)
const FaceType type, Array<int> &face_info_)
{
const int ne = mesh.GetNE();
@@ -337,7 +326,8 @@ inline void FaceNormalPermutation(int perm[3], const int face_id)
// Assigns to perm the permutation as in FaceNormalPermutation for the second
// element on the face but signed to indicate the sign of the normal derivative.
inline void SignedFaceNormalPermutation(int perm[3], const int face_id1,
inline void SignedFaceNormalPermutation(int perm[3],
const int face_id1,
const int face_id2,
const int orientation)
{
@@ -396,19 +386,17 @@ inline void SignedFaceNormalPermutation(int perm[3], const int face_id1,
}
static void PADGDiffusionSetupFaceInfo3D(const int nf, const Mesh &mesh,
const FaceType type,
Array<int> &face_info_)
const FaceType type, Array<int> &face_info_)
{
const int ne = mesh.GetNE();
int fidx = 0;
// face_info array has 12 entries per face, 6 for each of the adjacent
// elements: (perm[0], perm[1], perm[2], element_index, local_face_id,
// orientation)
// face_info array has 12 entries per face, 6 for each of the adjacent elements:
// (perm[0], perm[1], perm[2], element_index, local_face_id, orientation)
face_info_.SetSize(nf * 12);
constexpr int _e_ = 3; // offset for element index
constexpr int _e_ = 3; // offset for element index
constexpr int _fid_ = 4; // offset for local face id
constexpr int _or_ = 5; // offset for orientation
constexpr int _or_ = 5; // offset for orientation
auto face_info = Reshape(face_info_.HostWrite(), 6, 2, nf);
for (int f = 0; f < mesh.GetNumFaces(); ++f)
@@ -420,9 +408,9 @@ static void PADGDiffusionSetupFaceInfo3D(const int nf, const Mesh &mesh,
const int fid0 = f_info.element[0].local_face_id;
const int or0 = f_info.element[0].orientation;
face_info(_e_, 0, fidx) = f_info.element[0].index;
face_info( _e_, 0, fidx) = f_info.element[0].index;
face_info(_fid_, 0, fidx) = fid0;
face_info(_or_, 0, fidx) = or0;
face_info( _or_, 0, fidx) = or0;
FaceNormalPermutation(&face_info(0, 0, fidx), fid0);
@@ -433,17 +421,16 @@ static void PADGDiffusionSetupFaceInfo3D(const int nf, const Mesh &mesh,
if (f_info.IsShared())
{
face_info(_e_, 1, fidx) = ne + f_info.element[1].index;
face_info( _e_, 1, fidx) = ne + f_info.element[1].index;
}
else
{
face_info(_e_, 1, fidx) = f_info.element[1].index;
face_info( _e_, 1, fidx) = f_info.element[1].index;
}
face_info(_fid_, 1, fidx) = fid1;
face_info(_or_, 1, fidx) = or1;
face_info( _or_, 1, fidx) = or1;
SignedFaceNormalPermutation(&face_info(0, 1, fidx), fid0, fid1,
or1);
SignedFaceNormalPermutation(&face_info(0, 1, fidx), fid0, fid1, or1);
}
else
{
@@ -461,8 +448,8 @@ static void PADGDiffusionSetupFaceInfo3D(const int nf, const Mesh &mesh,
void DGDiffusionIntegrator::SetupPA(const FiniteElementSpace &fes,
FaceType type)
{
const MemoryType mt =
(pa_mt == MemoryType::DEFAULT) ? Device::GetDeviceMemoryType() : pa_mt;
const MemoryType mt = (pa_mt == MemoryType::DEFAULT) ?
Device::GetDeviceMemoryType() : pa_mt;
const int ne = fes.GetNE();
nf = fes.GetNFbyType(type);
@@ -471,17 +458,16 @@ void DGDiffusionIntegrator::SetupPA(const FiniteElementSpace &fes,
Mesh &mesh = *fes.GetMesh();
const Geometry::Type face_geom_type = mesh.GetTypicalFaceGeometry();
const FiniteElement &el = *fes.GetTypicalTraceElement();
const int ir_order = IntRule
? IntRule->GetOrder()
const int ir_order = IntRule ? IntRule->GetOrder()
: GetRule(el.GetOrder(), face_geom_type).GetOrder();
const IntegrationRule &ir = irs.Get(face_geom_type, ir_order);
dim = mesh.Dimension();
const int q1d = (ir.GetOrder() + 3) / 2;
MFEM_ASSERT(q1d == pow(real_t(ir.Size()), 1.0 / (dim - 1)), "");
const int q1d = (ir.GetOrder() + 3)/2;
MFEM_ASSERT(q1d == pow(real_t(ir.Size()), 1.0/(dim - 1)), "");
const auto vol_ir = irs.Get(mesh.GetTypicalElementGeometry(), ir_order);
const auto geom_flags =
GeometricFactors::JACOBIANS | GeometricFactors::DETERMINANTS;
const auto geom_flags = GeometricFactors::JACOBIANS |
GeometricFactors::DETERMINANTS;
const auto el_geom = mesh.GetGeometricFactors(vol_ir, geom_flags, mt);
std::unique_ptr<FaceNeighborGeometricFactors> nbr_geom;
@@ -490,8 +476,8 @@ void DGDiffusionIntegrator::SetupPA(const FiniteElementSpace &fes,
nbr_geom.reset(new FaceNeighborGeometricFactors(*el_geom));
}
const auto face_geom_flags =
FaceGeometricFactors::DETERMINANTS | FaceGeometricFactors::NORMALS;
const auto face_geom_flags = FaceGeometricFactors::DETERMINANTS |
FaceGeometricFactors::NORMALS;
auto face_geom = mesh.GetFaceGeometricFactors(ir, face_geom_flags, type, mt);
maps = &el.GetDofToQuad(ir, DofToQuad::TENSOR);
dofs1D = maps->ndof;
@@ -503,18 +489,9 @@ void DGDiffusionIntegrator::SetupPA(const FiniteElementSpace &fes,
// Evaluate the coefficient at the face quadrature points.
FaceQuadratureSpace fqs(mesh, ir, type);
CoefficientVector q(fqs, CoefficientStorage::COMPRESSED);
if (Q)
{
q.Project(*Q);
}
else if (MQ)
{
MFEM_ABORT("Not yet implemented"); /* q.Project(*MQ); */
}
else
{
q.SetConstant(1.0);
}
if (Q) { q.Project(*Q); }
else if (MQ) { MFEM_ABORT("Not yet implemented"); /* q.Project(*MQ); */ }
else { q.SetConstant(1.0); }
Array<int> face_info;
if (dim == 1)
@@ -524,16 +501,14 @@ void DGDiffusionIntegrator::SetupPA(const FiniteElementSpace &fes,
else if (dim == 2)
{
PADGDiffusionSetupFaceInfo2D(nf, mesh, type, face_info);
PADGDiffusionSetup2D(quad1D, ne, nf, ir.GetWeights(), *el_geom,
*face_geom, nbr_geom.get(), q, sigma, kappa, pa_data,
face_info);
PADGDiffusionSetup2D(quad1D, ne, nf, ir.GetWeights(), *el_geom, *face_geom,
nbr_geom.get(), q, sigma, kappa, pa_data, face_info);
}
else if (dim == 3)
{
PADGDiffusionSetupFaceInfo3D(nf, mesh, type, face_info);
PADGDiffusionSetup3D(quad1D, ne, nf, ir.GetWeights(), *el_geom,
*face_geom, nbr_geom.get(), q, sigma, kappa, pa_data,
face_info);
PADGDiffusionSetup3D(quad1D, ne, nf, ir.GetWeights(), *el_geom, *face_geom,
nbr_geom.get(), q, sigma, kappa, pa_data, face_info);
}
}
@@ -549,76 +524,529 @@ void DGDiffusionIntegrator::AssemblePABoundaryFaces(
SetupPA(fes, FaceType::Boundary);
}
void DGDiffusionIntegrator::AddMultPAFaceNormalDerivatives(const Vector &x,
const Vector &dxdn,
Vector &y,
Vector &dydn) const
template<int T_D1D = 0, int T_Q1D = 0> static
void PADGDiffusionApply2D(const int NF,
const Array<real_t> &b,
const Array<real_t> &bt,
const Array<real_t>& g,
const Array<real_t>& gt,
const real_t sigma,
const Vector &pa_data,
const Vector &x_,
const Vector &dxdn_,
Vector &y_,
Vector &dydn_,
const int d1d = 0,
const int q1d = 0)
{
ApplyPAKernels::Run(dim, dofs1D, quad1D, nf, maps->B, maps->Bt, maps->G,
maps->Gt, sigma, pa_data, x, dxdn, y, dydn, dofs1D,
quad1D);
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B_ = Reshape(b.Read(), Q1D, D1D);
auto G_ = Reshape(g.Read(), Q1D, D1D);
auto pa = Reshape(pa_data.Read(), 6, Q1D, NF); // (q, 1/h, J00, J01, J10, J11)
auto x = Reshape(x_.Read(), D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, 2, NF);
auto dxdn = Reshape(dxdn_.Read(), D1D, 2, NF);
auto dydn = Reshape(dydn_.ReadWrite(), D1D, 2, NF);
const int NBX = std::max(D1D, Q1D);
mfem::forall_2D(NF, NBX, 2, [=] MFEM_HOST_DEVICE (int f) -> void
{
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[max_D1D];
MFEM_SHARED real_t u1[max_D1D];
MFEM_SHARED real_t du0[max_D1D];
MFEM_SHARED real_t du1[max_D1D];
MFEM_SHARED real_t Bu0[max_Q1D];
MFEM_SHARED real_t Bu1[max_Q1D];
MFEM_SHARED real_t Bdu0[max_Q1D];
MFEM_SHARED real_t Bdu1[max_Q1D];
MFEM_SHARED real_t r[max_Q1D];
MFEM_SHARED real_t BG[2*max_D1D*max_Q1D];
DeviceMatrix B(BG, Q1D, D1D);
DeviceMatrix G(BG + D1D*Q1D, Q1D, D1D);
if (MFEM_THREAD_ID(y) == 0)
{
MFEM_FOREACH_THREAD(p,x,Q1D)
{
for (int d = 0; d < D1D; ++d)
{
B(p,d) = B_(p,d);
G(p,d) = G_(p,d);
}
}
}
MFEM_SYNC_THREAD;
// copy edge values to u0, u1 and copy edge normals to du0, du1
MFEM_FOREACH_THREAD(side,y,2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d,x,D1D)
{
u[d] = x(d, side, f);
du[d] = dxdn(d, side, f);
}
}
MFEM_SYNC_THREAD;
// eval @ quad points
MFEM_FOREACH_THREAD(side,y,2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
real_t *Bu = (side == 0) ? Bu0 : Bu1;
real_t *Bdu = (side == 0) ? Bdu0 : Bdu1;
MFEM_FOREACH_THREAD(p,x,Q1D)
{
const real_t Je_side[] = {pa(2 + 2*side, p, f), pa(2 + 2*side + 1, p, f)};
Bu[p] = 0.0;
Bdu[p] = 0.0;
for (int d = 0; d < D1D; ++d)
{
const real_t b = B(p,d);
const real_t g = G(p,d);
Bu[p] += b*u[d];
Bdu[p] += Je_side[0] * b * du[d] + Je_side[1] * g * u[d];
}
}
}
MFEM_SYNC_THREAD;
// term - < {Q du/dn}, [v] > + kappa * < {Q/h} [u], [v] >:
if (MFEM_THREAD_ID(y) == 0)
{
MFEM_FOREACH_THREAD(p,x,Q1D)
{
const real_t q = pa(0, p, f);
const real_t hi = pa(1, p, f);
const real_t jump = Bu0[p] - Bu1[p];
const real_t avg = Bdu0[p] + Bdu1[p]; // = {Q du/dn} * w * det(J)
r[p] = -avg + hi * q * jump;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(d,x,D1D)
{
real_t Br = 0.0;
for (int p = 0; p < Q1D; ++p)
{
Br += B(p, d) * r[p];
}
u0[d] = Br; // overwrite u0, u1
u1[d] = -Br;
} // for d
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side,y,2)
{
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d,x,D1D)
{
du[d] = 0.0;
}
}
MFEM_SYNC_THREAD;
// term sigma * < [u], {Q dv/dn} >
MFEM_FOREACH_THREAD(side,y,2)
{
real_t * const du = (side == 0) ? du0 : du1;
real_t * const u = (side == 0) ? u0 : u1;
MFEM_FOREACH_THREAD(d,x,D1D)
{
for (int p = 0; p < Q1D; ++p)
{
const real_t Je[] = {pa(2 + 2*side, p, f), pa(2 + 2*side + 1, p, f)};
const real_t jump = Bu0[p] - Bu1[p];
const real_t r_p = Je[0] * jump; // normal
const real_t w_p = Je[1] * jump; // tangential
du[d] += sigma * B(p, d) * r_p;
u[d] += sigma * G(p, d) * w_p;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side,y,2)
{
real_t *u = (side == 0) ? u0 : u1;
real_t *du = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d,x,D1D)
{
y(d, side, f) += u[d];
dydn(d, side, f) += du[d];
}
}
}); // mfem::forall
}
DGDiffusionIntegrator::DGDiffusionIntegrator(const real_t s, const real_t k)
: sigma(s), kappa(k)
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGDiffusionApply3D(const int NF,
const Array<real_t>& b,
const Array<real_t>& bt,
const Array<real_t>& g,
const Array<real_t>& gt,
const real_t sigma,
const Vector& pa_data,
const Vector& x_,
const Vector& dxdn_,
Vector& y_,
Vector& dydn_,
const int d1d = 0,
const int q1d = 0)
{
static Kernels kernels;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B_ = Reshape(b.Read(), Q1D, D1D);
auto G_ = Reshape(g.Read(), Q1D, D1D);
// (J0[0], J0[1], J0[2], J1[0], J1[1], J1[2], q/h)
auto pa = Reshape(pa_data.Read(), 7, Q1D, Q1D, NF);
auto x = Reshape(x_.Read(), D1D, D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, 2, NF);
auto dxdn = Reshape(dxdn_.Read(), D1D, D1D, 2, NF);
auto dydn = Reshape(dydn_.ReadWrite(), D1D, D1D, 2, NF);
const int NBX = std::max(D1D, Q1D);
mfem::forall_3D(NF, NBX, NBX, 2, [=] MFEM_HOST_DEVICE (int f) -> void
{
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[max_Q1D][max_Q1D];
MFEM_SHARED real_t u1[max_Q1D][max_Q1D];
MFEM_SHARED real_t du0[max_Q1D][max_Q1D];
MFEM_SHARED real_t du1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Gu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Gu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bdu0[max_Q1D][max_Q1D];
MFEM_SHARED real_t Bdu1[max_Q1D][max_Q1D];
MFEM_SHARED real_t kappa_Qh[max_Q1D][max_Q1D];
MFEM_SHARED real_t nJe[2][max_Q1D][max_Q1D][3];
MFEM_SHARED real_t BG[2*max_D1D*max_Q1D];
// some buffers are reused multiple times, but for clarity have new names:
real_t (*Bj0)[max_Q1D] = Bu0;
real_t (*Bj1)[max_Q1D] = Bu1;
real_t (*Bjn0)[max_Q1D] = Bdu0;
real_t (*Bjn1)[max_Q1D] = Bdu1;
real_t (*Gj0)[max_Q1D] = Gu0;
real_t (*Gj1)[max_Q1D] = Gu1;
DeviceMatrix B(BG, Q1D, D1D);
DeviceMatrix G(BG + D1D*Q1D, Q1D, D1D);
// copy face values to u0, u1 and copy normals to du0, du1
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t (*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t (*du)[max_Q1D] = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
u[d2][d1] = x(d1, d2, side, f); // copy transposed for better memory access
du[d2][d1] = dxdn(d1, d2, side, f);
}
}
MFEM_FOREACH_THREAD(p1, x, Q1D)
{
MFEM_FOREACH_THREAD(p2, y, Q1D)
{
for (int l=0; l < 3; ++l)
{
nJe[side][p2][p1][l] = pa(3*side + l, p1, p2, f);
}
if (side == 0)
{
kappa_Qh[p2][p1] = pa(6, p1, p2, f);
}
}
}
if (side == 0)
{
MFEM_FOREACH_THREAD(p, x, Q1D)
{
MFEM_FOREACH_THREAD(d, y, D1D)
{
B(p, d) = B_(p, d);
G(p, d) = G_(p, d);
}
}
}
}
MFEM_SYNC_THREAD;
// eval u and normal derivative @ quad points
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t (*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t (*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t (*Bu)[max_Q1D] = (side == 0) ? Bu0 : Bu1;
real_t (*Bdu)[max_Q1D] = (side == 0) ? Bdu0 : Bdu1;
real_t (*Gu)[max_Q1D] = (side == 0) ? Gu0 : Gu1;
MFEM_FOREACH_THREAD(p1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t bu = 0.0;
real_t bdu = 0.0;
real_t gu = 0.0;
for (int d1=0; d1 < D1D; ++d1)
{
const real_t b = B(p1, d1);
const real_t g = G(p1, d1);
bu += b * u[d2][d1];
bdu += b * du[d2][d1];
gu += g * u[d2][d1];
}
Bu[p1][d2] = bu;
Bdu[p1][d2] = bdu;
Gu[p1][d2] = gu;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t (*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t (*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t (*Bu)[max_Q1D] = (side == 0) ? Bu0 : Bu1;
real_t (*Gu)[max_Q1D] = (side == 0) ? Gu0 : Gu1;
real_t (*Bdu)[max_Q1D] = (side == 0) ? Bdu0 : Bdu1;
MFEM_FOREACH_THREAD(p2, x, Q1D)
{
MFEM_FOREACH_THREAD(p1, y, Q1D)
{
const real_t * Je = nJe[side][p2][p1];
real_t bbu = 0.0;
real_t bgu = 0.0;
real_t gbu = 0.0;
real_t bbdu = 0.0;
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(p2, d2);
const real_t g = G(p2, d2);
bbu += b * Bu[p1][d2];
gbu += g * Bu[p1][d2];
bgu += b * Gu[p1][d2];
bbdu += b * Bdu[p1][d2];
}
u[p2][p1] = bbu;
// du <- Q du/dn * w * det(J)
du[p2][p1] = Je[0] * bbdu + Je[1] * bgu + Je[2] * gbu;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t (*Bj)[max_Q1D] = (side == 0) ? Bj0 : Bj1;
real_t (*Bjn)[max_Q1D] = (side == 0) ? Bjn0 : Bjn1;
real_t (*Gj)[max_Q1D] = (side == 0) ? Gj0 : Gj1;
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(p2, y, Q1D)
{
real_t bj = 0.0;
real_t bjn = 0.0;
real_t gj = 0.0;
real_t br = 0.0;
for (int p1 = 0; p1 < Q1D; ++p1)
{
const real_t b = B(p1, d1);
const real_t g = G(p1, d1);
const real_t * Je = nJe[side][p2][p1];
const real_t jump = u0[p2][p1] - u1[p2][p1];
const real_t avg = du0[p2][p1] + du1[p2][p1];
// r = - < {Q du/dn}, [v] > + kappa * < {Q/h} [u], [v] >
const real_t r = -avg + kappa_Qh[p2][p1] * jump;
// bj, gj, bjn contribute to sigma term
bj += b * Je[0] * jump;
gj += g * Je[1] * jump;
bjn += b * Je[2] * jump;
br += b * r;
}
Bj[d1][p2] = sigma * bj;
Bjn[d1][p2] = sigma * bjn;
// group br and gj together since we will multiply them both by B
// and then sum
const real_t sgn = (side == 0) ? 1.0 : -1.0;
Gj[d1][p2] = sgn * br + sigma * gj;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(side, z, 2)
{
real_t (*u)[max_Q1D] = (side == 0) ? u0 : u1;
real_t (*du)[max_Q1D] = (side == 0) ? du0 : du1;
real_t (*Bj)[max_Q1D] = (side == 0) ? Bj0 : Bj1;
real_t (*Bjn)[max_Q1D] = (side == 0) ? Bjn0 : Bjn1;
real_t (*Gj)[max_Q1D] = (side == 0) ? Gj0 : Gj1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
real_t bbj = 0.0;
real_t gbj = 0.0;
real_t bgj = 0.0;
for (int p2 = 0; p2 < Q1D; ++p2)
{
const real_t b = B(p2, d2);
const real_t g = G(p2, d2);
bbj += b * Bj[d1][p2];
bgj += b * Gj[d1][p2];
gbj += g * Bjn[d1][p2];
}
du[d2][d1] = bbj;
u[d2][d1] = bgj + gbj;
}
}
}
MFEM_SYNC_THREAD;
// map back to y and dydn
MFEM_FOREACH_THREAD(side, z, 2)
{
const real_t (*u)[max_Q1D] = (side == 0) ? u0 : u1;
const real_t (*du)[max_Q1D] = (side == 0) ? du0 : du1;
MFEM_FOREACH_THREAD(d2, x, D1D)
{
MFEM_FOREACH_THREAD(d1, y, D1D)
{
y(d1, d2, side, f) += u[d2][d1];
dydn(d1, d2, side, f) += du[d2][d1];
}
}
}
});
}
DGDiffusionIntegrator::DGDiffusionIntegrator(Coefficient &q, const real_t s,
const real_t k)
: DGDiffusionIntegrator(s, k)
{
Q = &q;
}
DGDiffusionIntegrator::DGDiffusionIntegrator(MatrixCoefficient &q,
const real_t s, const real_t k)
: DGDiffusionIntegrator(s, k)
{
MQ = &q;
}
/// \cond DO_NOT_DOCUMENT
DGDiffusionIntegrator::ApplyKernelType
DGDiffusionIntegrator::ApplyPAKernels::Fallback(int dim, int, int)
static void PADGDiffusionApply(const int dim,
const int D1D,
const int Q1D,
const int NF,
const Array<real_t> &B,
const Array<real_t> &Bt,
const Array<real_t> &G,
const Array<real_t> &Gt,
const real_t sigma,
const Vector &pa_data,
const Vector &x,
const Vector &dxdn,
Vector &y,
Vector &dydn)
{
if (dim == 2)
{
return internal::PADGDiffusionApply2D;
auto kernel = PADGDiffusionApply2D<0,0>;
switch ((D1D << 4 ) | Q1D)
{
case 0x23: kernel = PADGDiffusionApply2D<2,3>; break;
case 0x34: kernel = PADGDiffusionApply2D<3,4>; break;
case 0x45: kernel = PADGDiffusionApply2D<4,5>; break;
case 0x56: kernel = PADGDiffusionApply2D<5,6>; break;
case 0x67: kernel = PADGDiffusionApply2D<6,7>; break;
case 0x78: kernel = PADGDiffusionApply2D<7,8>; break;
case 0x89: kernel = PADGDiffusionApply2D<8,9>; break;
case 0x9A: kernel = PADGDiffusionApply2D<9,10>; break;
}
kernel(NF, B, Bt, G, Gt, sigma, pa_data, x, dxdn, y, dydn, D1D, Q1D);
}
else if (dim == 3)
{
return internal::PADGDiffusionApply3D;
auto kernel = PADGDiffusionApply3D<0,0>;
switch ((D1D << 4) | Q1D)
{
case 0x24: kernel = PADGDiffusionApply3D<2,4>; break;
case 0x35: kernel = PADGDiffusionApply3D<3,5>; break;
case 0x46: kernel = PADGDiffusionApply3D<4,6>; break;
case 0x57: kernel = PADGDiffusionApply3D<5,7>; break;
case 0x68: kernel = PADGDiffusionApply3D<6,8>; break;
case 0x79: kernel = PADGDiffusionApply3D<7,9>; break;
case 0x8A: kernel = PADGDiffusionApply3D<8,10>; break;
case 0x9B: kernel = PADGDiffusionApply3D<9,11>; break;
}
kernel(NF, B, Bt, G, Gt, sigma, pa_data, x, dxdn, y, dydn, D1D, Q1D);
}
else
{
MFEM_ABORT("");
MFEM_ABORT("Unsupported dimension");
}
}
DGDiffusionIntegrator::Kernels::Kernels()
void DGDiffusionIntegrator::AddMultPAFaceNormalDerivatives(
const Vector &x, const Vector &dxdn, Vector &y, Vector &dydn) const
{
DGDiffusionIntegrator::AddSpecialization<2, 2, 3>();
DGDiffusionIntegrator::AddSpecialization<2, 3, 4>();
DGDiffusionIntegrator::AddSpecialization<2, 4, 5>();
DGDiffusionIntegrator::AddSpecialization<2, 5, 6>();
DGDiffusionIntegrator::AddSpecialization<2, 6, 7>();
DGDiffusionIntegrator::AddSpecialization<2, 7, 8>();
DGDiffusionIntegrator::AddSpecialization<2, 8, 9>();
DGDiffusionIntegrator::AddSpecialization<2, 9, 10>();
DGDiffusionIntegrator::AddSpecialization<3, 2, 4>();
DGDiffusionIntegrator::AddSpecialization<3, 3, 5>();
DGDiffusionIntegrator::AddSpecialization<3, 4, 6>();
DGDiffusionIntegrator::AddSpecialization<3, 5, 7>();
DGDiffusionIntegrator::AddSpecialization<3, 6, 8>();
DGDiffusionIntegrator::AddSpecialization<3, 7, 9>();
DGDiffusionIntegrator::AddSpecialization<3, 8, 10>();
DGDiffusionIntegrator::AddSpecialization<3, 9, 11>();
PADGDiffusionApply(dim, dofs1D, quad1D, nf,
maps->B, maps->Bt, maps->G, maps->Gt,
sigma, pa_data, x, dxdn, y, dydn);
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
-793
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@@ -1,793 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef BILININTEG_DGTRACE_KERNELS_HPP
#define BILININTEG_DGTRACE_KERNELS_HPP
#include "../../general/forall.hpp"
#include "../bilininteg.hpp"
#include "../gridfunc.hpp"
#include "../qfunction.hpp"
#include "../restriction.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
namespace internal
{
// PA DGTrace Apply 2D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGTraceApply2D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt, const Vector &op_,
const Vector &x_, Vector &y_, const int d1d = 0,
const int q1d = 0)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, VDIM, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, VDIM, 2, NF);
mfem::forall(NF, [=] MFEM_HOST_DEVICE(int f)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t u0[max_D1D][VDIM];
real_t u1[max_D1D][VDIM];
for (int d = 0; d < D1D; d++)
{
for (int c = 0; c < VDIM; c++)
{
u0[d][c] = x(d, c, 0, f);
u1[d][c] = x(d, c, 1, f);
}
}
real_t Bu0[max_Q1D][VDIM];
real_t Bu1[max_Q1D][VDIM];
for (int q = 0; q < Q1D; ++q)
{
for (int c = 0; c < VDIM; c++)
{
Bu0[q][c] = 0.0;
Bu1[q][c] = 0.0;
}
for (int d = 0; d < D1D; ++d)
{
const real_t b = B(q, d);
for (int c = 0; c < VDIM; c++)
{
Bu0[q][c] += b * u0[d][c];
Bu1[q][c] += b * u1[d][c];
}
}
}
real_t DBu[max_Q1D][VDIM];
for (int q = 0; q < Q1D; ++q)
{
for (int c = 0; c < VDIM; c++)
{
DBu[q][c] = op(q, 0, 0, f) * Bu0[q][c] + op(q, 1, 0, f) * Bu1[q][c];
}
}
real_t BDBu[max_D1D][VDIM];
for (int d = 0; d < D1D; ++d)
{
for (int c = 0; c < VDIM; c++)
{
BDBu[d][c] = 0.0;
}
for (int q = 0; q < Q1D; ++q)
{
const real_t b = Bt(d, q);
for (int c = 0; c < VDIM; c++)
{
BDBu[d][c] += b * DBu[q][c];
}
}
for (int c = 0; c < VDIM; c++)
{
y(d, c, 0, f) += BDBu[d][c];
y(d, c, 1, f) += -BDBu[d][c];
}
}
});
}
// PA DGTrace Apply 3D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGTraceApply3D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt, const Vector &op_,
const Vector &x_, Vector &y_, const int d1d = 0,
const int q1d = 0)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, D1D, VDIM, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, VDIM, 2, NF);
mfem::forall(NF, [=] MFEM_HOST_DEVICE(int f)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t u0[max_D1D][max_D1D][VDIM];
real_t u1[max_D1D][max_D1D][VDIM];
for (int d1 = 0; d1 < D1D; d1++)
{
for (int d2 = 0; d2 < D1D; d2++)
{
for (int c = 0; c < VDIM; c++)
{
u0[d1][d2][c] = x(d1, d2, c, 0, f);
u1[d1][d2][c] = x(d1, d2, c, 1, f);
}
}
}
real_t Bu0[max_Q1D][max_D1D][VDIM];
real_t Bu1[max_Q1D][max_D1D][VDIM];
for (int q = 0; q < Q1D; ++q)
{
for (int d2 = 0; d2 < D1D; d2++)
{
for (int c = 0; c < VDIM; c++)
{
Bu0[q][d2][c] = 0.0;
Bu1[q][d2][c] = 0.0;
}
for (int d1 = 0; d1 < D1D; ++d1)
{
const real_t b = B(q, d1);
for (int c = 0; c < VDIM; c++)
{
Bu0[q][d2][c] += b * u0[d1][d2][c];
Bu1[q][d2][c] += b * u1[d1][d2][c];
}
}
}
}
real_t BBu0[max_Q1D][max_Q1D][VDIM];
real_t BBu1[max_Q1D][max_Q1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int q2 = 0; q2 < Q1D; q2++)
{
for (int c = 0; c < VDIM; c++)
{
BBu0[q1][q2][c] = 0.0;
BBu1[q1][q2][c] = 0.0;
}
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(q2, d2);
for (int c = 0; c < VDIM; c++)
{
BBu0[q1][q2][c] += b * Bu0[q1][d2][c];
BBu1[q1][q2][c] += b * Bu1[q1][d2][c];
}
}
}
}
real_t DBBu[max_Q1D][max_Q1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int q2 = 0; q2 < Q1D; q2++)
{
for (int c = 0; c < VDIM; c++)
{
DBBu[q1][q2][c] = op(q1, q2, 0, 0, f) * BBu0[q1][q2][c] +
op(q1, q2, 1, 0, f) * BBu1[q1][q2][c];
}
}
}
real_t BDBBu[max_Q1D][max_D1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int d2 = 0; d2 < D1D; d2++)
{
for (int c = 0; c < VDIM; c++)
{
BDBBu[q1][d2][c] = 0.0;
}
for (int q2 = 0; q2 < Q1D; ++q2)
{
const real_t b = Bt(d2, q2);
for (int c = 0; c < VDIM; c++)
{
BDBBu[q1][d2][c] += b * DBBu[q1][q2][c];
}
}
}
}
real_t BBDBBu[max_D1D][max_D1D][VDIM];
for (int d1 = 0; d1 < D1D; ++d1)
{
for (int d2 = 0; d2 < D1D; d2++)
{
for (int c = 0; c < VDIM; c++)
{
BBDBBu[d1][d2][c] = 0.0;
}
for (int q1 = 0; q1 < Q1D; ++q1)
{
const real_t b = Bt(d1, q1);
for (int c = 0; c < VDIM; c++)
{
BBDBBu[d1][d2][c] += b * BDBBu[q1][d2][c];
}
}
for (int c = 0; c < VDIM; c++)
{
y(d1, d2, c, 0, f) += BBDBBu[d1][d2][c];
y(d1, d2, c, 1, f) += -BBDBBu[d1][d2][c];
}
}
}
});
}
// Optimized PA DGTrace Apply 3D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0, int T_NBZ = 0>
static void SmemPADGTraceApply3D(const int NF, const Array<real_t> &b,
const Array<real_t> &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;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, 2, NF);
mfem::forall_2D_batch(NF, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE(int f)
{
const int tidz = MFEM_THREAD_ID(z);
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int NBZ = T_NBZ ? T_NBZ : 1;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[NBZ][max_D1D][max_D1D];
MFEM_SHARED real_t u1[NBZ][max_D1D][max_D1D];
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
u0[tidz][d1][d2] = x(d1, d2, 0, f);
u1[tidz][d1][d2] = x(d1, d2, 1, f);
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t Bu0[NBZ][max_Q1D][max_D1D];
MFEM_SHARED real_t Bu1[NBZ][max_Q1D][max_D1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t Bu0_ = 0.0;
real_t Bu1_ = 0.0;
for (int d1 = 0; d1 < D1D; ++d1)
{
const real_t b = B(q1, d1);
Bu0_ += b * u0[tidz][d1][d2];
Bu1_ += b * u1[tidz][d1][d2];
}
Bu0[tidz][q1][d2] = Bu0_;
Bu1[tidz][q1][d2] = Bu1_;
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t BBu0[NBZ][max_Q1D][max_Q1D];
MFEM_SHARED real_t BBu1[NBZ][max_Q1D][max_Q1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(q2, y, Q1D)
{
real_t BBu0_ = 0.0;
real_t BBu1_ = 0.0;
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(q2, d2);
BBu0_ += b * Bu0[tidz][q1][d2];
BBu1_ += b * Bu1[tidz][q1][d2];
}
BBu0[tidz][q1][q2] = BBu0_;
BBu1[tidz][q1][q2] = BBu1_;
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t DBBu[NBZ][max_Q1D][max_Q1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(q2, y, Q1D)
{
DBBu[tidz][q1][q2] = op(q1, q2, 0, 0, f) * BBu0[tidz][q1][q2] +
op(q1, q2, 1, 0, f) * BBu1[tidz][q1][q2];
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t BDBBu[NBZ][max_Q1D][max_D1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t BDBBu_ = 0.0;
for (int q2 = 0; q2 < Q1D; ++q2)
{
const real_t b = Bt(d2, q2);
BDBBu_ += b * DBBu[tidz][q1][q2];
}
BDBBu[tidz][q1][d2] = BDBBu_;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t BBDBBu_ = 0.0;
for (int q1 = 0; q1 < Q1D; ++q1)
{
const real_t b = Bt(d1, q1);
BBDBBu_ += b * BDBBu[tidz][q1][d2];
}
y(d1, d2, 0, f) += BBDBBu_;
y(d1, d2, 1, f) += -BBDBBu_;
}
}
});
}
// PA DGTrace Apply 2D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGTraceApplyTranspose2D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt,
const Vector &op_, const Vector &x_,
Vector &y_, const int d1d = 0,
const int q1d = 0)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, VDIM, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, VDIM, 2, NF);
mfem::forall(NF, [=] MFEM_HOST_DEVICE(int f)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t u0[max_D1D][VDIM];
real_t u1[max_D1D][VDIM];
for (int d = 0; d < D1D; d++)
{
for (int c = 0; c < VDIM; c++)
{
u0[d][c] = x(d, c, 0, f);
u1[d][c] = x(d, c, 1, f);
}
}
real_t Bu0[max_Q1D][VDIM];
real_t Bu1[max_Q1D][VDIM];
for (int q = 0; q < Q1D; ++q)
{
for (int c = 0; c < VDIM; c++)
{
Bu0[q][c] = 0.0;
Bu1[q][c] = 0.0;
}
for (int d = 0; d < D1D; ++d)
{
const real_t b = B(q, d);
for (int c = 0; c < VDIM; c++)
{
Bu0[q][c] += b * u0[d][c];
Bu1[q][c] += b * u1[d][c];
}
}
}
real_t DBu0[max_Q1D][VDIM];
real_t DBu1[max_Q1D][VDIM];
for (int q = 0; q < Q1D; ++q)
{
for (int c = 0; c < VDIM; c++)
{
DBu0[q][c] =
op(q, 0, 0, f) * Bu0[q][c] + op(q, 0, 1, f) * Bu1[q][c];
DBu1[q][c] =
op(q, 1, 0, f) * Bu0[q][c] + op(q, 1, 1, f) * Bu1[q][c];
}
}
real_t BDBu0[max_D1D][VDIM];
real_t BDBu1[max_D1D][VDIM];
for (int d = 0; d < D1D; ++d)
{
for (int c = 0; c < VDIM; c++)
{
BDBu0[d][c] = 0.0;
BDBu1[d][c] = 0.0;
}
for (int q = 0; q < Q1D; ++q)
{
const real_t b = Bt(d, q);
for (int c = 0; c < VDIM; c++)
{
BDBu0[d][c] += b * DBu0[q][c];
BDBu1[d][c] += b * DBu1[q][c];
}
}
for (int c = 0; c < VDIM; c++)
{
y(d, c, 0, f) += BDBu0[d][c];
y(d, c, 1, f) += BDBu1[d][c];
}
}
});
}
// PA DGTrace Apply Transpose 3D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0>
static void PADGTraceApplyTranspose3D(const int NF, const Array<real_t> &b,
const Array<real_t> &bt,
const Vector &op_, const Vector &x_,
Vector &y_, const int d1d = 0,
const int q1d = 0)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, D1D, VDIM, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, VDIM, 2, NF);
mfem::forall(NF, [=] MFEM_HOST_DEVICE(int f)
{
const int VDIM = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t u0[max_D1D][max_D1D][VDIM];
real_t u1[max_D1D][max_D1D][VDIM];
for (int d1 = 0; d1 < D1D; d1++)
{
for (int d2 = 0; d2 < D1D; d2++)
{
for (int c = 0; c < VDIM; c++)
{
u0[d1][d2][c] = x(d1, d2, c, 0, f);
u1[d1][d2][c] = x(d1, d2, c, 1, f);
}
}
}
real_t Bu0[max_Q1D][max_D1D][VDIM];
real_t Bu1[max_Q1D][max_D1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int d2 = 0; d2 < D1D; ++d2)
{
for (int c = 0; c < VDIM; c++)
{
Bu0[q1][d2][c] = 0.0;
Bu1[q1][d2][c] = 0.0;
}
for (int d1 = 0; d1 < D1D; ++d1)
{
const real_t b = B(q1, d1);
for (int c = 0; c < VDIM; c++)
{
Bu0[q1][d2][c] += b * u0[d1][d2][c];
Bu1[q1][d2][c] += b * u1[d1][d2][c];
}
}
}
}
real_t BBu0[max_Q1D][max_Q1D][VDIM];
real_t BBu1[max_Q1D][max_Q1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int q2 = 0; q2 < Q1D; ++q2)
{
for (int c = 0; c < VDIM; c++)
{
BBu0[q1][q2][c] = 0.0;
BBu1[q1][q2][c] = 0.0;
}
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(q2, d2);
for (int c = 0; c < VDIM; c++)
{
BBu0[q1][q2][c] += b * Bu0[q1][d2][c];
BBu1[q1][q2][c] += b * Bu1[q1][d2][c];
}
}
}
}
real_t DBu0[max_Q1D][max_Q1D][VDIM];
real_t DBu1[max_Q1D][max_Q1D][VDIM];
for (int q1 = 0; q1 < Q1D; ++q1)
{
for (int q2 = 0; q2 < Q1D; ++q2)
{
const real_t D00 = op(q1, q2, 0, 0, f);
const real_t D01 = op(q1, q2, 0, 1, f);
const real_t D10 = op(q1, q2, 1, 0, f);
const real_t D11 = op(q1, q2, 1, 1, f);
for (int c = 0; c < VDIM; c++)
{
DBu0[q1][q2][c] = D00 * BBu0[q1][q2][c] + D01 * BBu1[q1][q2][c];
DBu1[q1][q2][c] = D10 * BBu0[q1][q2][c] + D11 * BBu1[q1][q2][c];
}
}
}
real_t BDBu0[max_D1D][max_Q1D][VDIM];
real_t BDBu1[max_D1D][max_Q1D][VDIM];
for (int d1 = 0; d1 < D1D; ++d1)
{
for (int q2 = 0; q2 < Q1D; ++q2)
{
for (int c = 0; c < VDIM; c++)
{
BDBu0[d1][q2][c] = 0.0;
BDBu1[d1][q2][c] = 0.0;
}
for (int q1 = 0; q1 < Q1D; ++q1)
{
const real_t b = Bt(d1, q1);
for (int c = 0; c < VDIM; c++)
{
BDBu0[d1][q2][c] += b * DBu0[q1][q2][c];
BDBu1[d1][q2][c] += b * DBu1[q1][q2][c];
}
}
}
}
real_t BBDBu0[max_D1D][max_D1D][VDIM];
real_t BBDBu1[max_D1D][max_D1D][VDIM];
for (int d1 = 0; d1 < D1D; ++d1)
{
for (int d2 = 0; d2 < D1D; ++d2)
{
for (int c = 0; c < VDIM; c++)
{
BBDBu0[d1][d2][c] = 0.0;
BBDBu1[d1][d2][c] = 0.0;
}
for (int q2 = 0; q2 < Q1D; ++q2)
{
const real_t b = Bt(d2, q2);
for (int c = 0; c < VDIM; c++)
{
BBDBu0[d1][d2][c] += b * BDBu0[d1][q2][c];
BBDBu1[d1][d2][c] += b * BDBu1[d1][q2][c];
}
}
for (int c = 0; c < VDIM; c++)
{
y(d1, d2, c, 0, f) += BBDBu0[d1][d2][c];
y(d1, d2, c, 1, f) += BBDBu1[d1][d2][c];
}
}
}
});
}
// Optimized PA DGTrace Apply Transpose 3D kernel for Gauss-Lobatto/Bernstein
template <int T_D1D = 0, int T_Q1D = 0, int T_NBZ = 0>
static void SmemPADGTraceApplyTranspose3D(const int NF, const Array<real_t> &b,
const Array<real_t> &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;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D, Q1D, 2, 2, NF);
auto x = Reshape(x_.Read(), D1D, D1D, 2, NF);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, 2, NF);
mfem::forall_2D_batch(NF, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE(int f)
{
const int tidz = MFEM_THREAD_ID(z);
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
// the following variables are evaluated at compile time
constexpr int NBZ = T_NBZ ? T_NBZ : 1;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
MFEM_SHARED real_t u0[NBZ][max_D1D][max_D1D];
MFEM_SHARED real_t u1[NBZ][max_D1D][max_D1D];
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
u0[tidz][d1][d2] = x(d1, d2, 0, f);
u1[tidz][d1][d2] = x(d1, d2, 1, f);
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t Bu0[NBZ][max_Q1D][max_D1D];
MFEM_SHARED real_t Bu1[NBZ][max_Q1D][max_D1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t Bu0_ = 0.0;
real_t Bu1_ = 0.0;
for (int d1 = 0; d1 < D1D; ++d1)
{
const real_t b = B(q1, d1);
Bu0_ += b * u0[tidz][d1][d2];
Bu1_ += b * u1[tidz][d1][d2];
}
Bu0[tidz][q1][d2] = Bu0_;
Bu1[tidz][q1][d2] = Bu1_;
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t BBu0[NBZ][max_Q1D][max_Q1D];
MFEM_SHARED real_t BBu1[NBZ][max_Q1D][max_Q1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(q2, y, Q1D)
{
real_t BBu0_ = 0.0;
real_t BBu1_ = 0.0;
for (int d2 = 0; d2 < D1D; ++d2)
{
const real_t b = B(q2, d2);
BBu0_ += b * Bu0[tidz][q1][d2];
BBu1_ += b * Bu1[tidz][q1][d2];
}
BBu0[tidz][q1][q2] = BBu0_;
BBu1[tidz][q1][q2] = BBu1_;
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t DBBu0[NBZ][max_Q1D][max_Q1D];
MFEM_SHARED real_t DBBu1[NBZ][max_Q1D][max_Q1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(q2, y, Q1D)
{
const real_t D00 = op(q1, q2, 0, 0, f);
const real_t D01 = op(q1, q2, 0, 1, f);
const real_t D10 = op(q1, q2, 1, 0, f);
const real_t D11 = op(q1, q2, 1, 1, f);
const real_t u0q = BBu0[tidz][q1][q2];
const real_t u1q = BBu1[tidz][q1][q2];
DBBu0[tidz][q1][q2] = D00 * u0q + D01 * u1q;
DBBu1[tidz][q1][q2] = D10 * u0q + D11 * u1q;
}
}
MFEM_SYNC_THREAD;
MFEM_SHARED real_t BDBBu0[NBZ][max_Q1D][max_D1D];
MFEM_SHARED real_t BDBBu1[NBZ][max_Q1D][max_D1D];
MFEM_FOREACH_THREAD(q1, x, Q1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t BDBBu0_ = 0.0;
real_t BDBBu1_ = 0.0;
for (int q2 = 0; q2 < Q1D; ++q2)
{
const real_t b = Bt(d2, q2);
BDBBu0_ += b * DBBu0[tidz][q1][q2];
BDBBu1_ += b * DBBu1[tidz][q1][q2];
}
BDBBu0[tidz][q1][d2] = BDBBu0_;
BDBBu1[tidz][q1][d2] = BDBBu1_;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(d1, x, D1D)
{
MFEM_FOREACH_THREAD(d2, y, D1D)
{
real_t BBDBBu0_ = 0.0;
real_t BBDBBu1_ = 0.0;
for (int q1 = 0; q1 < Q1D; ++q1)
{
const real_t b = Bt(d1, q1);
BBDBBu0_ += b * BDBBu0[tidz][q1][d2];
BBDBBu1_ += b * BDBBu1[tidz][q1][d2];
}
y(d1, d2, 0, f) += BBDBBu0_;
y(d1, d2, 1, f) += BBDBBu1_;
}
}
});
}
} // namespace internal
template <int DIM, int D1D, int Q1D>
DGTraceIntegrator::ApplyKernelType DGTraceIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PADGTraceApply2D<D1D, Q1D>;
}
else if constexpr (DIM == 3)
{
if constexpr (D1D == 3 || D1D == 4)
{
return internal::SmemPADGTraceApply3D<D1D, Q1D, 2>;
}
else
{
return internal::SmemPADGTraceApply3D<D1D, Q1D>;
}
}
MFEM_ABORT("");
}
template <int DIM, int D1D, int Q1D>
DGTraceIntegrator::ApplyKernelType DGTraceIntegrator::ApplyPATKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PADGTraceApplyTranspose2D<D1D, Q1D>;
}
else if constexpr (DIM == 3)
{
return internal::SmemPADGTraceApplyTranspose3D<D1D, Q1D>;
}
MFEM_ABORT("");
}
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
#endif
File diff suppressed because it is too large Load Diff
+2 -26
View File
@@ -19,8 +19,6 @@ namespace mfem
DiffusionIntegrator::Kernels::Kernels()
{
// 2D
// Q = P+1
DiffusionIntegrator::AddSpecialization<2,1,1>();
DiffusionIntegrator::AddSpecialization<2,2,2>();
DiffusionIntegrator::AddSpecialization<2,3,3>();
DiffusionIntegrator::AddSpecialization<2,4,4>();
@@ -29,39 +27,17 @@ DiffusionIntegrator::Kernels::Kernels()
DiffusionIntegrator::AddSpecialization<2,7,7>();
DiffusionIntegrator::AddSpecialization<2,8,8>();
DiffusionIntegrator::AddSpecialization<2,9,9>();
// Q = P+2
DiffusionIntegrator::AddSpecialization<2,1,2>();
DiffusionIntegrator::AddSpecialization<2,2,3>();
DiffusionIntegrator::AddSpecialization<2,3,4>();
DiffusionIntegrator::AddSpecialization<2,4,5>();
DiffusionIntegrator::AddSpecialization<2,5,6>();
DiffusionIntegrator::AddSpecialization<2,6,7>();
DiffusionIntegrator::AddSpecialization<2,7,8>();
DiffusionIntegrator::AddSpecialization<2,8,9>();
DiffusionIntegrator::AddSpecialization<2,9,10>();
// others
// 3D
// Q = P+1
DiffusionIntegrator::AddSpecialization<3,1,1>();
DiffusionIntegrator::AddSpecialization<3,2,2>();
DiffusionIntegrator::AddSpecialization<3,3,3>();
DiffusionIntegrator::AddSpecialization<3,4,4>();
DiffusionIntegrator::AddSpecialization<3,5,5>();
DiffusionIntegrator::AddSpecialization<3,6,6>();
DiffusionIntegrator::AddSpecialization<3,7,7>();
DiffusionIntegrator::AddSpecialization<3,8,8>();
// Q = P+2
DiffusionIntegrator::AddSpecialization<3,1,2>();
DiffusionIntegrator::AddSpecialization<3,2,3>();
DiffusionIntegrator::AddSpecialization<3,3,4>();
DiffusionIntegrator::AddSpecialization<3,4,5>();
DiffusionIntegrator::AddSpecialization<3,4,6>();
DiffusionIntegrator::AddSpecialization<3,5,6>();
DiffusionIntegrator::AddSpecialization<3,5,8>();
DiffusionIntegrator::AddSpecialization<3,6,7>();
DiffusionIntegrator::AddSpecialization<3,7,8>();
DiffusionIntegrator::AddSpecialization<3,8,9>();
// others
DiffusionIntegrator::AddSpecialization<3,4,6>();
DiffusionIntegrator::AddSpecialization<3,5,8>();
}
namespace internal
+18 -21
View File
@@ -672,12 +672,12 @@ inline void SmemPADiffusionApply2D(const int NE,
real_t (*Gt)[MQ1] = (real_t (*)[MQ1]) (sBG+1);
MFEM_SHARED real_t Xz[NBZ][MD1][MD1];
MFEM_SHARED real_t GD[2][NBZ][MD1][MQ1];
MFEM_SHARED real_t GQ[2][NBZ][MQ1][MQ1];
MFEM_SHARED real_t GQ[2][NBZ][MD1][MQ1];
real_t (*X)[MD1] = (real_t (*)[MD1])(Xz + tidz);
real_t (*DQ0)[MQ1] = (real_t (*)[MQ1])(GD[0] + tidz);
real_t (*DQ1)[MQ1] = (real_t (*)[MQ1])(GD[1] + tidz);
real_t (*QQ0)[MQ1] = (real_t (*)[MQ1])(GQ[0] + tidz);
real_t (*QQ1)[MQ1] = (real_t (*)[MQ1])(GQ[1] + tidz);
real_t (*DQ0)[MD1] = (real_t (*)[MD1])(GD[0] + tidz);
real_t (*DQ1)[MD1] = (real_t (*)[MD1])(GD[1] + tidz);
real_t (*QQ0)[MD1] = (real_t (*)[MD1])(GQ[0] + tidz);
real_t (*QQ1)[MD1] = (real_t (*)[MD1])(GQ[1] + tidz);
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
@@ -1212,22 +1212,18 @@ inline void SmemPADiffusionApply3D(const int NE,
} // namespace internal
namespace
{
using ApplyKernelType = DiffusionIntegrator::ApplyKernelType;
using DiagonalKernelType = DiffusionIntegrator::DiagonalKernelType;
}
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Kernel()
DiffusionIntegrator::ApplyKernelType
DiffusionIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 2) { return internal::SmemPADiffusionApply2D<T_D1D,T_Q1D>; }
else if constexpr (DIM == 3) { return internal::SmemPADiffusionApply3D<T_D1D, T_Q1D>; }
MFEM_ABORT("");
if (DIM == 2) { return internal::SmemPADiffusionApply2D<T_D1D,T_Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionApply3D<T_D1D, T_Q1D>; }
else { MFEM_ABORT(""); }
}
inline
ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
inline DiffusionIntegrator::ApplyKernelType
DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2) { return internal::PADiffusionApply2D; }
else if (DIM == 3) { return internal::PADiffusionApply3D; }
@@ -1235,14 +1231,15 @@ ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
}
template<int DIM, int D1D, int Q1D>
DiagonalKernelType DiffusionIntegrator::DiagonalPAKernels::Kernel()
DiffusionIntegrator::DiagonalKernelType
DiffusionIntegrator::DiagonalPAKernels::Kernel()
{
if constexpr (DIM == 2) { return internal::SmemPADiffusionDiagonal2D<D1D,Q1D>; }
else if constexpr (DIM == 3) { return internal::SmemPADiffusionDiagonal3D<D1D, Q1D>; }
MFEM_ABORT("");
if (DIM == 2) { return internal::SmemPADiffusionDiagonal2D<D1D,Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionDiagonal3D<D1D, Q1D>; }
else { MFEM_ABORT(""); }
}
inline DiagonalKernelType
inline DiffusionIntegrator::DiagonalKernelType
DiffusionIntegrator::DiagonalPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2) { return internal::PADiffusionDiagonal2D; }
+4
View File
@@ -39,6 +39,8 @@ void DiffusionIntegrator::AssembleDiagonalPA(Vector &diag)
// PA Diffusion Apply kernel
void DiffusionIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
MFEM_PERF_FUNCTION;
if (DeviceCanUseCeed())
{
ceedOp->AddMult(x, y);
@@ -88,6 +90,8 @@ void DiffusionIntegrator::AddMultTransposePA(const Vector &x, Vector &y) const
void DiffusionIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
MFEM_PERF_FUNCTION;
const MemoryType mt = (pa_mt == MemoryType::DEFAULT) ?
Device::GetDeviceMemoryType() : pa_mt;
// Assuming the same element type
+16 -9
View File
@@ -599,11 +599,13 @@ void PACurlCurlSetup3D(const int Q1D,
});
}
void PACurlCurlAssembleDiagonal2D(const int D1D, const int Q1D, const bool,
const int NE, const Array<real_t> &bo,
const Array<real_t> &, const Array<real_t> &,
void PACurlCurlAssembleDiagonal2D(const int D1D,
const int Q1D,
const int NE,
const Array<real_t> &bo,
const Array<real_t> &gc,
const Vector &pa_data, Vector &diag)
const Vector &pa_data,
Vector &diag)
{
auto Bo = Reshape(bo.Read(), Q1D, D1D-1);
auto Gc = Reshape(gc.Read(), Q1D, D1D);
@@ -651,11 +653,16 @@ void PACurlCurlAssembleDiagonal2D(const int D1D, const int Q1D, const bool,
}); // end of element loop
}
void PACurlCurlApply2D(const int D1D, const int Q1D, const bool, const int NE,
const Array<real_t> &bo, const Array<real_t> &,
const Array<real_t> &bot, const Array<real_t> &,
const Array<real_t> &gc, const Array<real_t> &gct,
const Vector &pa_data, const Vector &x, Vector &y,
void PACurlCurlApply2D(const int D1D,
const int Q1D,
const int NE,
const Array<real_t> &bo,
const Array<real_t> &bot,
const Array<real_t> &gc,
const Array<real_t> &gct,
const Vector &pa_data,
const Vector &x,
Vector &y,
const bool useAbs)
{
+1 -50
View File
@@ -24,7 +24,7 @@
namespace mfem
{
/// \cond DO_NOT_DOCUMENT
namespace internal
{
@@ -426,11 +426,8 @@ void PACurlCurlSetup3D(const int Q1D,
// PA H(curl) curl-curl Diagonal 2D kernel
void PACurlCurlAssembleDiagonal2D(const int D1D,
const int Q1D,
const bool symmetric, // unused
const int NE,
const Array<real_t> &bo,
const Array<real_t> &bc, // unused
const Array<real_t> &go, // unused
const Array<real_t> &gc,
const Vector &pa_data,
Vector &diag);
@@ -834,12 +831,9 @@ inline void SmemPACurlCurlAssembleDiagonal3D(const int d1d,
// PA H(curl) curl-curl Apply/AbsApply 2D kernel
void PACurlCurlApply2D(const int D1D,
const int Q1D,
const bool symmetric, // unused
const int NE,
const Array<real_t> &bo,
const Array<real_t> &bc, // unused
const Array<real_t> &bot,
const Array<real_t> &bct, // unused
const Array<real_t> &gc,
const Array<real_t> &gct,
const Vector &pa_data,
@@ -3164,49 +3158,6 @@ inline void SmemPAHcurlL2ApplyTranspose3D(const int d1d,
} // namespace internal
template<int DIM, int T_D1D, int T_Q1D>
CurlCurlIntegrator::ApplyKernelType CurlCurlIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PACurlCurlApply2D;
}
else if constexpr (DIM == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
return internal::SmemPACurlCurlApply3D<T_D1D, T_Q1D>;
}
else
{
return internal::PACurlCurlApply3D;
}
}
MFEM_ABORT("");
}
template <int DIM, int T_D1D, int T_Q1D>
CurlCurlIntegrator::DiagonalKernelType
CurlCurlIntegrator::DiagonalPAKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PACurlCurlAssembleDiagonal2D;
}
else if constexpr (DIM == 3)
{
if (Device::Allows(Backend::DEVICE_MASK))
{
return internal::SmemPACurlCurlAssembleDiagonal3D<T_D1D, T_Q1D>;
}
else
{
return internal::PACurlCurlAssembleDiagonal3D;
}
}
MFEM_ABORT("");
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
#endif
@@ -19,7 +19,6 @@
#include "../../linalg/vector.hpp"
#include "../bilininteg.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
@@ -820,6 +819,4 @@ inline void PAHcurlHdivApplyTranspose3D(const int d1d,
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
#endif
+2 -32
View File
@@ -17,8 +17,6 @@ namespace mfem
MassIntegrator::Kernels::Kernels()
{
// 2D
// Q=P+1
MassIntegrator::AddSpecialization<2,1,1>();
MassIntegrator::AddSpecialization<2,2,2>();
MassIntegrator::AddSpecialization<2,3,3>();
MassIntegrator::AddSpecialization<2,4,4>();
@@ -27,45 +25,17 @@ MassIntegrator::Kernels::Kernels()
MassIntegrator::AddSpecialization<2,7,7>();
MassIntegrator::AddSpecialization<2,8,8>();
MassIntegrator::AddSpecialization<2,9,9>();
// Q=P+2
MassIntegrator::AddSpecialization<2,1,2>();
MassIntegrator::AddSpecialization<2,2,3>();
MassIntegrator::AddSpecialization<2,3,4>();
MassIntegrator::AddSpecialization<2,4,5>();
MassIntegrator::AddSpecialization<2,5,6>();
MassIntegrator::AddSpecialization<2,6,7>();
MassIntegrator::AddSpecialization<2,7,8>();
MassIntegrator::AddSpecialization<2,8,9>();
MassIntegrator::AddSpecialization<2,9,10>();
// others
MassIntegrator::AddSpecialization<2,2,4>();
MassIntegrator::AddSpecialization<2,3,6>();
MassIntegrator::AddSpecialization<2,4,6>();
// 3D
// Q=P+1
MassIntegrator::AddSpecialization<3,1,1>();
MassIntegrator::AddSpecialization<3,2,2>();
MassIntegrator::AddSpecialization<3,3,3>();
MassIntegrator::AddSpecialization<3,4,4>();
MassIntegrator::AddSpecialization<3,5,5>();
MassIntegrator::AddSpecialization<3,6,6>();
MassIntegrator::AddSpecialization<3,7,7>();
MassIntegrator::AddSpecialization<3,8,8>();
MassIntegrator::AddSpecialization<3,9,9>();
// Q=P+2
MassIntegrator::AddSpecialization<3,1,2>();
MassIntegrator::AddSpecialization<3,2,3>();
MassIntegrator::AddSpecialization<3,3,4>();
MassIntegrator::AddSpecialization<3,3,6>();
MassIntegrator::AddSpecialization<3,4,5>();
MassIntegrator::AddSpecialization<3,4,6>();
MassIntegrator::AddSpecialization<3,5,6>();
MassIntegrator::AddSpecialization<3,5,8>();
MassIntegrator::AddSpecialization<3,6,7>();
MassIntegrator::AddSpecialization<3,7,8>();
MassIntegrator::AddSpecialization<3,8,9>();
// others
MassIntegrator::AddSpecialization<3,2,4>();
MassIntegrator::AddSpecialization<3,4,6>();
MassIntegrator::AddSpecialization<3,5,8>();
}
namespace internal
+14 -19
View File
@@ -1383,23 +1383,18 @@ inline void EAMassAssemble3D(const int NE,
} // namespace internal
namespace
{
using ApplyKernelType = MassIntegrator::ApplyKernelType;
using DiagonalKernelType = MassIntegrator::DiagonalKernelType;
}
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
MassIntegrator::ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 1) { return internal::PAMassApply1D; }
else if constexpr (DIM == 2) { return internal::SmemPAMassApply2D<T_D1D,T_Q1D>; }
else if constexpr (DIM == 3) { return internal::SmemPAMassApply3D<T_D1D, T_Q1D>; }
MFEM_ABORT("");
if (DIM == 1) { return internal::PAMassApply1D; }
else if (DIM == 2) { return internal::SmemPAMassApply2D<T_D1D,T_Q1D>; }
else if (DIM == 3) { return internal::SmemPAMassApply3D<T_D1D, T_Q1D>; }
else { MFEM_ABORT(""); }
}
inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
int DIM, int, int)
inline MassIntegrator::ApplyKernelType
MassIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 1) { return internal::PAMassApply1D; }
else if (DIM == 2) { return internal::PAMassApply2D; }
@@ -1408,16 +1403,16 @@ inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
}
template<int DIM, int T_D1D, int T_Q1D>
DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
MassIntegrator::DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
{
if constexpr (DIM == 1) { return internal::PAMassAssembleDiagonal1D; }
else if constexpr (DIM == 2) { return internal::SmemPAMassAssembleDiagonal2D<T_D1D,T_Q1D>; }
else if constexpr (DIM == 3) { return internal::SmemPAMassAssembleDiagonal3D<T_D1D, T_Q1D>; }
MFEM_ABORT("");
if (DIM == 1) { return internal::PAMassAssembleDiagonal1D; }
else if (DIM == 2) { return internal::SmemPAMassAssembleDiagonal2D<T_D1D,T_Q1D>; }
else if (DIM == 3) { return internal::SmemPAMassAssembleDiagonal3D<T_D1D, T_Q1D>; }
else { MFEM_ABORT(""); }
}
inline DiagonalKernelType MassIntegrator::DiagonalPAKernels::Fallback(
int DIM, int, int)
inline MassIntegrator::DiagonalKernelType
MassIntegrator::DiagonalPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 1) { return internal::PAMassAssembleDiagonal1D; }
else if (DIM == 2) { return internal::PAMassAssembleDiagonal2D; }
+60 -25
View File
@@ -23,6 +23,8 @@ namespace mfem
void MassIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
MFEM_PERF_FUNCTION;
const MemoryType mt = (pa_mt == MemoryType::DEFAULT) ?
Device::GetDeviceMemoryType() : pa_mt;
@@ -59,23 +61,26 @@ void MassIntegrator::AssemblePA(const FiniteElementSpace &fes)
QuadratureSpace qs(*mesh, *ir);
CoefficientVector coeff(Q, qs, CoefficientStorage::COMPRESSED);
const int NE = ne;
const int Q1D = quad1D;
const int NQ = static_cast<int>(std::pow(Q1D, dim));
const bool const_c = coeff.Size() == 1;
const bool by_val = map_type == FiniteElement::VALUE;
const auto W = Reshape(ir->GetWeights().Read(), NQ);
const auto J = Reshape(geom->detJ.Read(), NQ, NE);
const auto C = const_c ? Reshape(coeff.Read(), 1, 1) :
Reshape(coeff.Read(), NQ,NE);
auto v = Reshape(pa_data.Write(), NQ, NE);
mfem::forall_2D(NE, NQ, 1, [=] MFEM_HOST_DEVICE (int e)
{
const int NE = ne;
const int NQ = nq;
const bool const_c = coeff.Size() == 1;
const bool by_val = map_type == FiniteElement::VALUE;
const auto W = Reshape(ir->GetWeights().Read(), NQ);
const auto J = Reshape(geom->detJ.Read(), NQ, NE);
const auto C =
const_c ? Reshape(coeff.Read(), 1, 1) : Reshape(coeff.Read(), NQ, NE);
auto v = Reshape(pa_data.Write(), NQ, NE);
mfem::forall(NQ, NE, [=] MFEM_HOST_DEVICE(int q, int e)
MFEM_FOREACH_THREAD(i, x, NQ)
{
const real_t detJ = J(q, e);
const real_t coeff = const_c ? C(0, 0) : C(q, e);
v(q, e) = W(q) * coeff * (by_val ? detJ : 1.0 / detJ);
});
}
const real_t detJ = J(i,e);
const real_t coeff = const_c ? C(0,0) : C(i,e);
v(i,e) = W(i) * coeff * (by_val ? detJ : 1.0/detJ);
}
});
}
void MassIntegrator::AssemblePABoundary(const FiniteElementSpace &fes)
@@ -106,22 +111,50 @@ void MassIntegrator::AssemblePABoundary(const FiniteElementSpace &fes)
CoefficientVector coeff(Q, qs, CoefficientStorage::COMPRESSED);
const int NE = ne;
const int NQ = nq;
const int Q1D = quad1D;
const bool const_c = coeff.Size() == 1;
const bool by_val = map_type == FiniteElement::VALUE;
if (dim==1)
{
const auto W = Reshape(ir->GetWeights().Read(), NQ);
const auto J = Reshape(face_geom->detJ.Read(), NQ, NE);
const auto C = const_c ? Reshape(coeff.Read(), 1, 1)
: Reshape(coeff.Read(), NQ, NE);
auto v = Reshape(pa_data.Write(), NQ, NE);
mfem::forall(NQ, NE, [=] MFEM_HOST_DEVICE(int q, int e)
const auto W = Reshape(ir->GetWeights().Read(), Q1D);
const auto J = Reshape(face_geom->detJ.Read(), Q1D, NE);
const auto C = const_c ? Reshape(coeff.Read(), 1, 1) :
Reshape(coeff.Read(), Q1D, NE);
auto v = Reshape(pa_data.Write(), Q1D, NE);
mfem::forall_2D(NE, Q1D, 1, [=] MFEM_HOST_DEVICE (int e)
{
const real_t detJ = J(q, e);
const real_t coeff = const_c ? C(0, 0) : C(q, e);
v(q, e) = W(q) * coeff * (by_val ? detJ : 1.0 / detJ);
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
const real_t detJ = J(qx,e);
const real_t coeff = const_c ? C(0,0) : C(qx,e);
v(qx,e) = W(qx) * coeff * (by_val ? detJ : 1.0/detJ);
}
});
}
else if (dim==2)
{
const auto W = Reshape(ir->GetWeights().Read(), Q1D,Q1D);
const auto J = Reshape(face_geom->detJ.Read(), Q1D,Q1D,NE);
const auto C = const_c ? Reshape(coeff.Read(), 1,1,1) :
Reshape(coeff.Read(), Q1D,Q1D,NE);
auto v = Reshape(pa_data.Write(), Q1D,Q1D, NE);
mfem::forall_2D(NE, Q1D, Q1D, [=] MFEM_HOST_DEVICE (int e)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
const real_t detJ = J(qx,qy,e);
const real_t coeff = const_c ? C(0,0,0) : C(qx,qy,e);
v(qx,qy,e) = W(qx,qy) * coeff * (by_val ? detJ : 1.0/detJ);
}
}
});
}
else
{
MFEM_ABORT("Not supported.");
}
}
void MassIntegrator::AssembleDiagonalPA(Vector &diag)
@@ -139,6 +172,8 @@ void MassIntegrator::AssembleDiagonalPA(Vector &diag)
void MassIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
MFEM_PERF_FUNCTION;
if (DeviceCanUseCeed())
{
ceedOp->AddMult(x, y);
@@ -1,355 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_BILININTEG_VECDIFFUSION_KERNELS_HPP
#define MFEM_BILININTEG_VECDIFFUSION_KERNELS_HPP
#include "../../general/forall.hpp"
#include "../bilininteg.hpp"
#include "../ceed/integrators/diffusion/diffusion.hpp"
#include "../gridfunc.hpp"
#include "../qfunction.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
namespace internal
{
// PA Diffusion Apply 2D kernel
template <int T_D1D = 0, int T_Q1D = 0, int T_VDIM = 0>
static void
PAVectorDiffusionApply2D(const int NE, const Array<real_t> &b,
const Array<real_t> &g, const Array<real_t> &bt,
const Array<real_t> &gt, const Vector &d_,
const Vector &x_, Vector &y_, const int d1d = 0,
const int q1d = 0, const int vdim = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = T_VDIM ? T_VDIM : vdim;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto G = Reshape(g.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto Gt = Reshape(gt.Read(), D1D, Q1D);
auto D = Reshape(d_.Read(), Q1D * Q1D, 3, NE);
auto x = Reshape(x_.Read(), D1D, D1D, VDIM, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, VDIM, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE(int e)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = T_VDIM ? T_VDIM : vdim;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t grad[max_Q1D][max_Q1D][2];
for (int c = 0; c < VDIM; c++)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] = 0.0;
grad[qy][qx][1] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
real_t gradX[max_Q1D][2];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const real_t s = x(dx, dy, c, e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * B(qx, dx);
gradX[qx][1] += s * G(qx, dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy, dy);
const real_t wDy = G(qy, dy);
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] += gradX[qx][1] * wy;
grad[qy][qx][1] += gradX[qx][0] * wDy;
}
}
}
// Calculate Dxy, xDy in plane
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + qy * Q1D;
const real_t O11 = D(q, 0, e);
const real_t O12 = D(q, 1, e);
const real_t O22 = D(q, 2, e);
const real_t gradX = grad[qy][qx][0];
const real_t gradY = grad[qy][qx][1];
grad[qy][qx][0] = (O11 * gradX) + (O12 * gradY);
grad[qy][qx][1] = (O12 * gradX) + (O22 * gradY);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t gradX[max_D1D][2];
for (int dx = 0; dx < D1D; ++dx)
{
gradX[dx][0] = 0.0;
gradX[dx][1] = 0.0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t gX = grad[qy][qx][0];
const real_t gY = grad[qy][qx][1];
for (int dx = 0; dx < D1D; ++dx)
{
const real_t wx = Bt(dx, qx);
const real_t wDx = Gt(dx, qx);
gradX[dx][0] += gX * wDx;
gradX[dx][1] += gY * wx;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const real_t wy = Bt(dy, qy);
const real_t wDy = Gt(dy, qy);
for (int dx = 0; dx < D1D; ++dx)
{
y(dx, dy, c, e) +=
((gradX[dx][0] * wy) + (gradX[dx][1] * wDy));
}
}
}
}
});
}
// PA Diffusion Apply 3D kernel
template <const int T_D1D = 0, const int T_Q1D = 0>
static void
PAVectorDiffusionApply3D(const int NE, const Array<real_t> &b,
const Array<real_t> &g, const Array<real_t> &bt,
const Array<real_t> &gt, const Vector &op_,
const Vector &x_, Vector &y_, const int d1d = 0,
const int q1d = 0, const int sdim = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int VDIM = 3;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto G = Reshape(g.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto Gt = Reshape(gt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D * Q1D * Q1D, 6, NE);
auto x = Reshape(x_.Read(), D1D, D1D, D1D, VDIM, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, VDIM, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE(int e)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
for (int c = 0; c < VDIM; ++c)
{
real_t grad[max_Q1D][max_Q1D][max_Q1D][3];
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] = 0.0;
grad[qz][qy][qx][1] = 0.0;
grad[qz][qy][qx][2] = 0.0;
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
real_t gradXY[max_Q1D][max_Q1D][3];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
gradXY[qy][qx][0] = 0.0;
gradXY[qy][qx][1] = 0.0;
gradXY[qy][qx][2] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
real_t gradX[max_Q1D][2];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const real_t s = x(dx, dy, dz, c, e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * B(qx, dx);
gradX[qx][1] += s * G(qx, dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy, dy);
const real_t wDy = G(qy, dy);
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t wx = gradX[qx][0];
const real_t wDx = gradX[qx][1];
gradXY[qy][qx][0] += wDx * wy;
gradXY[qy][qx][1] += wx * wDy;
gradXY[qy][qx][2] += wx * wy;
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
const real_t wz = B(qz, dz);
const real_t wDz = G(qz, dz);
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] += gradXY[qy][qx][0] * wz;
grad[qz][qy][qx][1] += gradXY[qy][qx][1] * wz;
grad[qz][qy][qx][2] += gradXY[qy][qx][2] * wDz;
}
}
}
}
// Calculate Dxyz, xDyz, xyDz in plane
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + (qy + qz * Q1D) * Q1D;
const real_t O11 = op(q, 0, e);
const real_t O12 = op(q, 1, e);
const real_t O13 = op(q, 2, e);
const real_t O22 = op(q, 3, e);
const real_t O23 = op(q, 4, e);
const real_t O33 = op(q, 5, e);
const real_t gradX = grad[qz][qy][qx][0];
const real_t gradY = grad[qz][qy][qx][1];
const real_t gradZ = grad[qz][qy][qx][2];
grad[qz][qy][qx][0] =
(O11 * gradX) + (O12 * gradY) + (O13 * gradZ);
grad[qz][qy][qx][1] =
(O12 * gradX) + (O22 * gradY) + (O23 * gradZ);
grad[qz][qy][qx][2] =
(O13 * gradX) + (O23 * gradY) + (O33 * gradZ);
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
real_t gradXY[max_D1D][max_D1D][3];
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
gradXY[dy][dx][0] = 0;
gradXY[dy][dx][1] = 0;
gradXY[dy][dx][2] = 0;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t gradX[max_D1D][3];
for (int dx = 0; dx < D1D; ++dx)
{
gradX[dx][0] = 0;
gradX[dx][1] = 0;
gradX[dx][2] = 0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t gX = grad[qz][qy][qx][0];
const real_t gY = grad[qz][qy][qx][1];
const real_t gZ = grad[qz][qy][qx][2];
for (int dx = 0; dx < D1D; ++dx)
{
const real_t wx = Bt(dx, qx);
const real_t wDx = Gt(dx, qx);
gradX[dx][0] += gX * wDx;
gradX[dx][1] += gY * wx;
gradX[dx][2] += gZ * wx;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const real_t wy = Bt(dy, qy);
const real_t wDy = Gt(dy, qy);
for (int dx = 0; dx < D1D; ++dx)
{
gradXY[dy][dx][0] += gradX[dx][0] * wy;
gradXY[dy][dx][1] += gradX[dx][1] * wDy;
gradXY[dy][dx][2] += gradX[dx][2] * wy;
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
const real_t wz = Bt(dz, qz);
const real_t wDz = Gt(dz, qz);
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
y(dx, dy, dz, c, e) +=
((gradXY[dy][dx][0] * wz) + (gradXY[dy][dx][1] * wz) +
(gradXY[dy][dx][2] * wDz));
}
}
}
}
}
});
}
} // namespace internal
template <int DIM, int VDIM, int T_D1D, int T_Q1D>
VectorDiffusionIntegrator::ApplyKernelType
VectorDiffusionIntegrator::ApplyPAKernels::Kernel()
{
if constexpr (DIM == 2)
{
return internal::PAVectorDiffusionApply2D<T_D1D, T_Q1D, VDIM>;
}
else if constexpr (DIM == 3)
{
return internal::PAVectorDiffusionApply3D;
}
MFEM_ABORT("");
}
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
#endif
+336 -71
View File
@@ -15,58 +15,9 @@
#include "../qfunction.hpp"
#include "../ceed/integrators/diffusion/diffusion.hpp"
#include "bilininteg_vecdiffusion_kernels.hpp"
namespace mfem
{
VectorDiffusionIntegrator::VectorDiffusionIntegrator(const IntegrationRule *ir)
: BilinearFormIntegrator(ir)
{
static Kernels kernels;
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(Coefficient &q)
: VectorDiffusionIntegrator()
{
Q = &q;
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(int vector_dimension)
: VectorDiffusionIntegrator()
{
vdim = vector_dimension;
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(Coefficient &q,
const IntegrationRule *ir)
: VectorDiffusionIntegrator(ir)
{
Q = &q;
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(Coefficient &q,
int vector_dimension)
: VectorDiffusionIntegrator()
{
Q = &q;
vdim = vector_dimension;
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(VectorCoefficient &vq)
: VectorDiffusionIntegrator()
{
VQ = &vq;
vdim = vq.GetVDim();
}
VectorDiffusionIntegrator::VectorDiffusionIntegrator(MatrixCoefficient &mq)
: VectorDiffusionIntegrator()
{
MQ = &mq;
vdim = mq.GetVDim();
}
// PA Diffusion Assemble 2D kernel
static void PAVectorDiffusionSetup2D(const int Q1D,
const int NE,
@@ -474,6 +425,322 @@ void VectorDiffusionIntegrator::AssembleDiagonalPA(Vector &diag)
}
}
// PA Diffusion Apply 2D kernel
template<int T_D1D = 0, int T_Q1D = 0, int T_VDIM = 0> static
void PAVectorDiffusionApply2D(const int NE,
const Array<real_t> &b,
const Array<real_t> &g,
const Array<real_t> &bt,
const Array<real_t> &gt,
const Vector &d_,
const Vector &x_,
Vector &y_,
const int d1d = 0,
const int q1d = 0,
const int vdim = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = T_VDIM ? T_VDIM : vdim;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto G = Reshape(g.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto Gt = Reshape(gt.Read(), D1D, Q1D);
auto D = Reshape(d_.Read(), Q1D*Q1D, 3, NE);
auto x = Reshape(x_.Read(), D1D, D1D, VDIM, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, VDIM, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = T_VDIM ? T_VDIM : vdim;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t grad[max_Q1D][max_Q1D][2];
for (int c = 0; c < VDIM; c++)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] = 0.0;
grad[qy][qx][1] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
real_t gradX[max_Q1D][2];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const real_t s = x(dx,dy,c,e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * B(qx,dx);
gradX[qx][1] += s * G(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
const real_t wDy = G(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] += gradX[qx][1] * wy;
grad[qy][qx][1] += gradX[qx][0] * wDy;
}
}
}
// Calculate Dxy, xDy in plane
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + qy * Q1D;
const real_t O11 = D(q,0,e);
const real_t O12 = D(q,1,e);
const real_t O22 = D(q,2,e);
const real_t gradX = grad[qy][qx][0];
const real_t gradY = grad[qy][qx][1];
grad[qy][qx][0] = (O11 * gradX) + (O12 * gradY);
grad[qy][qx][1] = (O12 * gradX) + (O22 * gradY);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t gradX[max_D1D][2];
for (int dx = 0; dx < D1D; ++dx)
{
gradX[dx][0] = 0.0;
gradX[dx][1] = 0.0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t gX = grad[qy][qx][0];
const real_t gY = grad[qy][qx][1];
for (int dx = 0; dx < D1D; ++dx)
{
const real_t wx = Bt(dx,qx);
const real_t wDx = Gt(dx,qx);
gradX[dx][0] += gX * wDx;
gradX[dx][1] += gY * wx;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const real_t wy = Bt(dy,qy);
const real_t wDy = Gt(dy,qy);
for (int dx = 0; dx < D1D; ++dx)
{
y(dx,dy,c,e) += ((gradX[dx][0] * wy) + (gradX[dx][1] * wDy));
}
}
}
}
});
}
// PA Diffusion Apply 3D kernel
template<const int T_D1D = 0,
const int T_Q1D = 0> static
void PAVectorDiffusionApply3D(const int NE,
const Array<real_t> &b,
const Array<real_t> &g,
const Array<real_t> &bt,
const Array<real_t> &gt,
const Vector &op_,
const Vector &x_,
Vector &y_,
int d1d = 0, int q1d = 0)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int VDIM = 3;
MFEM_VERIFY(D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, D1D);
auto G = Reshape(g.Read(), Q1D, D1D);
auto Bt = Reshape(bt.Read(), D1D, Q1D);
auto Gt = Reshape(gt.Read(), D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D*Q1D*Q1D, 6, NE);
auto x = Reshape(x_.Read(), D1D, D1D, D1D, VDIM, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, VDIM, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int max_D1D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
for (int c = 0; c < VDIM; ++ c)
{
real_t grad[max_Q1D][max_Q1D][max_Q1D][3];
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] = 0.0;
grad[qz][qy][qx][1] = 0.0;
grad[qz][qy][qx][2] = 0.0;
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
real_t gradXY[max_Q1D][max_Q1D][3];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
gradXY[qy][qx][0] = 0.0;
gradXY[qy][qx][1] = 0.0;
gradXY[qy][qx][2] = 0.0;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
real_t gradX[max_Q1D][2];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < D1D; ++dx)
{
const real_t s = x(dx,dy,dz,c,e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * B(qx,dx);
gradX[qx][1] += s * G(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
const real_t wDy = G(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t wx = gradX[qx][0];
const real_t wDx = gradX[qx][1];
gradXY[qy][qx][0] += wDx * wy;
gradXY[qy][qx][1] += wx * wDy;
gradXY[qy][qx][2] += wx * wy;
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
const real_t wz = B(qz,dz);
const real_t wDz = G(qz,dz);
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] += gradXY[qy][qx][0] * wz;
grad[qz][qy][qx][1] += gradXY[qy][qx][1] * wz;
grad[qz][qy][qx][2] += gradXY[qy][qx][2] * wDz;
}
}
}
}
// Calculate Dxyz, xDyz, xyDz in plane
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + (qy + qz * Q1D) * Q1D;
const real_t O11 = op(q,0,e);
const real_t O12 = op(q,1,e);
const real_t O13 = op(q,2,e);
const real_t O22 = op(q,3,e);
const real_t O23 = op(q,4,e);
const real_t O33 = op(q,5,e);
const real_t gradX = grad[qz][qy][qx][0];
const real_t gradY = grad[qz][qy][qx][1];
const real_t gradZ = grad[qz][qy][qx][2];
grad[qz][qy][qx][0] = (O11*gradX)+(O12*gradY)+(O13*gradZ);
grad[qz][qy][qx][1] = (O12*gradX)+(O22*gradY)+(O23*gradZ);
grad[qz][qy][qx][2] = (O13*gradX)+(O23*gradY)+(O33*gradZ);
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
real_t gradXY[max_D1D][max_D1D][3];
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
gradXY[dy][dx][0] = 0;
gradXY[dy][dx][1] = 0;
gradXY[dy][dx][2] = 0;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t gradX[max_D1D][3];
for (int dx = 0; dx < D1D; ++dx)
{
gradX[dx][0] = 0;
gradX[dx][1] = 0;
gradX[dx][2] = 0;
}
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t gX = grad[qz][qy][qx][0];
const real_t gY = grad[qz][qy][qx][1];
const real_t gZ = grad[qz][qy][qx][2];
for (int dx = 0; dx < D1D; ++dx)
{
const real_t wx = Bt(dx,qx);
const real_t wDx = Gt(dx,qx);
gradX[dx][0] += gX * wDx;
gradX[dx][1] += gY * wx;
gradX[dx][2] += gZ * wx;
}
}
for (int dy = 0; dy < D1D; ++dy)
{
const real_t wy = Bt(dy,qy);
const real_t wDy = Gt(dy,qy);
for (int dx = 0; dx < D1D; ++dx)
{
gradXY[dy][dx][0] += gradX[dx][0] * wy;
gradXY[dy][dx][1] += gradX[dx][1] * wDy;
gradXY[dy][dx][2] += gradX[dx][2] * wy;
}
}
}
for (int dz = 0; dz < D1D; ++dz)
{
const real_t wz = Bt(dz,qz);
const real_t wDz = Gt(dz,qz);
for (int dy = 0; dy < D1D; ++dy)
{
for (int dx = 0; dx < D1D; ++dx)
{
y(dx,dy,dz,c,e) +=
((gradXY[dy][dx][0] * wz) +
(gradXY[dy][dx][1] * wz) +
(gradXY[dy][dx][2] * wDz));
}
}
}
}
}
});
}
// PA Diffusion Apply kernel
void VectorDiffusionIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
@@ -490,29 +757,27 @@ void VectorDiffusionIntegrator::AddMultPA(const Vector &x, Vector &y) const
const Array<real_t> &Bt = maps->Bt;
const Array<real_t> &Gt = maps->Gt;
const Vector &D = pa_data;
ApplyPAKernels::Run(dim, sdim, D1D, Q1D, ne, B, G, Bt, Gt, D, x, y, D1D,
Q1D, sdim);
if (dim == 2 && sdim == 3)
{
switch ((dofs1D << 4 ) | quad1D)
{
case 0x22: return PAVectorDiffusionApply2D<2,2,3>(ne,B,G,Bt,Gt,D,x,y);
case 0x33: return PAVectorDiffusionApply2D<3,3,3>(ne,B,G,Bt,Gt,D,x,y);
case 0x44: return PAVectorDiffusionApply2D<4,4,3>(ne,B,G,Bt,Gt,D,x,y);
case 0x55: return PAVectorDiffusionApply2D<5,5,3>(ne,B,G,Bt,Gt,D,x,y);
default:
return PAVectorDiffusionApply2D(ne,B,G,Bt,Gt,D,x,y,D1D,Q1D,sdim);
}
}
if (dim == 2 && sdim == 2)
{ return PAVectorDiffusionApply2D(ne,B,G,Bt,Gt,D,x,y,D1D,Q1D,sdim); }
if (dim == 3 && sdim == 3)
{ return PAVectorDiffusionApply3D(ne,B,G,Bt,Gt,D,x,y,D1D,Q1D); }
MFEM_ABORT("Unknown kernel.");
}
}
/// \cond DO_NOT_DOCUMENT
VectorDiffusionIntegrator::ApplyKernelType
VectorDiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int, int)
{
if (DIM == 2) { return internal::PAVectorDiffusionApply2D; }
else if (DIM == 3) { return internal::PAVectorDiffusionApply3D; }
else { MFEM_ABORT(""); }
}
VectorDiffusionIntegrator::Kernels::Kernels()
{
VectorDiffusionIntegrator::AddSpecialization<2, 3, 2, 2>();
VectorDiffusionIntegrator::AddSpecialization<2, 3, 3, 3>();
VectorDiffusionIntegrator::AddSpecialization<2, 3, 4, 4>();
VectorDiffusionIntegrator::AddSpecialization<2, 3, 5, 5>();
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
+204 -55
View File
@@ -9,19 +9,183 @@
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "../../fem/kernels.hpp"
#include "../../general/forall.hpp"
#include "../../fem/kernels.hpp"
#include "../fem.hpp"
#include "lininteg_domain_kernels.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
template<int T_D1D = 0, int T_Q1D = 0>
static void DLFEvalAssemble2D(const int vdim, const int ne, const int d,
const int q,
const int map_type, const int *markers, const real_t *b,
const real_t *detj, const real_t *weights,
const Vector &coeff, real_t *y)
{
const auto F = coeff.Read();
const auto M = Reshape(markers, ne);
const auto B = Reshape(b, q, d);
const auto DETJ = Reshape(detj, q, q, ne);
const auto W = Reshape(weights, q, q);
const bool cst = coeff.Size() == vdim;
const auto C = cst ? Reshape(F,vdim,1,1,1) : Reshape(F,vdim,q,q,ne);
auto Y = Reshape(y, d,d, vdim, ne);
mfem::forall_2D(ne, q, q, [=] MFEM_HOST_DEVICE (int e)
{
if (M(e) == 0) { return; } // ignore
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_SHARED real_t sBt[Q*D];
MFEM_SHARED real_t sQQ[Q*Q];
MFEM_SHARED real_t sQD[Q*D];
const DeviceMatrix Bt(sBt, d, q);
kernels::internal::LoadB<D,Q>(d, q, B, sBt);
const DeviceMatrix QQ(sQQ, q, q);
const DeviceMatrix QD(sQD, q, d);
for (int c = 0; c < vdim; ++c)
{
const real_t cst_val = C(c,0,0,0);
MFEM_FOREACH_THREAD(x,x,q)
{
MFEM_FOREACH_THREAD(y,y,q)
{
const real_t detJ = (map_type == FiniteElement::VALUE) ? DETJ(x,y,e) : 1.0;
const real_t coeff_val = cst ? cst_val : C(c,x,y,e);
QQ(y,x) = W(x,y) * coeff_val * detJ;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qy,y,q)
{
MFEM_FOREACH_THREAD(dx,x,d)
{
real_t u = 0.0;
for (int qx = 0; qx < q; ++qx) { u += QQ(qy,qx) * Bt(dx,qx); }
QD(qy,dx) = u;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dy,y,d)
{
MFEM_FOREACH_THREAD(dx,x,d)
{
real_t u = 0.0;
for (int qy = 0; qy < q; ++qy) { u += QD(qy,dx) * Bt(dy,qy); }
Y(dx,dy,c,e) += u;
}
}
MFEM_SYNC_THREAD;
}
});
}
template<int T_D1D = 0, int T_Q1D = 0>
static void DLFEvalAssemble3D(const int vdim, const int ne, const int d,
const int q,
const int map_type, const int *markers, const real_t *b,
const real_t *detj, const real_t *weights,
const Vector &coeff, real_t *y)
{
const auto F = coeff.Read();
const auto M = Reshape(markers, ne);
const auto B = Reshape(b, q,d);
const auto DETJ = Reshape(detj, q, q, q, ne);
const auto W = Reshape(weights, q,q,q);
const bool cst_coeff = coeff.Size() == vdim;
const auto C = cst_coeff ? Reshape(F,vdim,1,1,1,1):Reshape(F,vdim,q,q,q,ne);
auto Y = Reshape(y, d,d,d, vdim, ne);
mfem::forall_2D(ne, q, q, [=] MFEM_HOST_DEVICE (int e)
{
if (M(e) == 0) { return; } // ignore
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int MQD = (Q >= D) ? Q : D;
real_t u[D];
MFEM_SHARED real_t sBt[Q*D];
const DeviceMatrix Bt(sBt, d,q);
kernels::internal::LoadB<D,Q>(d,q,B,sBt);
MFEM_SHARED real_t sQQQ[MQD*MQD*MQD];
const DeviceCube QQQ(sQQQ, MQD, MQD, MQD);
for (int c = 0; c < vdim; ++c)
{
const real_t cst_val = C(c,0,0,0,0);
MFEM_FOREACH_THREAD(x,x,q)
{
MFEM_FOREACH_THREAD(y,y,q)
{
for (int z = 0; z < q; ++z)
{
const real_t detJ = (map_type == FiniteElement::VALUE) ? DETJ(x,y,z,e) : 1.0;
const real_t coeff_val = cst_coeff ? cst_val : C(c,x,y,z,e);
QQQ(z,y,x) = W(x,y,z) * coeff_val * detJ;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qx,x,q)
{
MFEM_FOREACH_THREAD(qy,y,q)
{
for (int dz = 0; dz < d; ++dz) { u[dz] = 0.0; }
for (int qz = 0; qz < q; ++qz)
{
const real_t ZYX = QQQ(qz,qy,qx);
for (int dz = 0; dz < d; ++dz) { u[dz] += ZYX * Bt(dz,qz); }
}
for (int dz = 0; dz < d; ++dz) { QQQ(dz,qy,qx) = u[dz]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,y,d)
{
MFEM_FOREACH_THREAD(qx,x,q)
{
for (int dy = 0; dy < d; ++dy) { u[dy] = 0.0; }
for (int qy = 0; qy < q; ++qy)
{
const real_t zYX = QQQ(dz,qy,qx);
for (int dy = 0; dy < d; ++dy) { u[dy] += zYX * Bt(dy,qy); }
}
for (int dy = 0; dy < d; ++dy) { QQQ(dz,dy,qx) = u[dy]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,y,d)
{
MFEM_FOREACH_THREAD(dy,x,d)
{
for (int dx = 0; dx < d; ++dx) { u[dx] = 0.0; }
for (int qx = 0; qx < q; ++qx)
{
const real_t zyX = QQQ(dz,dy,qx);
for (int dx = 0; dx < d; ++dx) { u[dx] += zyX * Bt(dx,qx); }
}
for (int dx = 0; dx < d; ++dx) { Y(dx,dy,dz,c,e) += u[dx]; }
}
}
MFEM_SYNC_THREAD;
}
});
}
static void DLFEvalAssemble(const FiniteElementSpace &fes,
const IntegrationRule *ir,
const Array<int> &markers, const Vector &coeff,
const Array<int> &markers,
const Vector &coeff,
Vector &y)
{
Mesh *mesh = fes.GetMesh();
@@ -33,20 +197,50 @@ static void DLFEvalAssemble(const FiniteElementSpace &fes,
constexpr int flags = GeometricFactors::DETERMINANTS;
const GeometricFactors *geom = mesh->GetGeometricFactors(*ir, flags, mt);
const int map_type = fes.GetTypicalFE()->GetMapType();
decltype(&DLFEvalAssemble2D<>) ker =
dim == 2 ? DLFEvalAssemble2D<> : DLFEvalAssemble3D<>;
if (dim==2)
{
if (d==1 && q==1) { ker=DLFEvalAssemble2D<1,1>; }
if (d==2 && q==2) { ker=DLFEvalAssemble2D<2,2>; }
if (d==3 && q==3) { ker=DLFEvalAssemble2D<3,3>; }
if (d==4 && q==4) { ker=DLFEvalAssemble2D<4,4>; }
if (d==5 && q==5) { ker=DLFEvalAssemble2D<5,5>; }
if (d==2 && q==3) { ker=DLFEvalAssemble2D<2,3>; }
if (d==3 && q==4) { ker=DLFEvalAssemble2D<3,4>; }
if (d==4 && q==5) { ker=DLFEvalAssemble2D<4,5>; }
if (d==5 && q==6) { ker=DLFEvalAssemble2D<5,6>; }
}
if (dim==3)
{
if (d==1 && q==1) { ker=DLFEvalAssemble3D<1,1>; }
if (d==2 && q==2) { ker=DLFEvalAssemble3D<2,2>; }
if (d==3 && q==3) { ker=DLFEvalAssemble3D<3,3>; }
if (d==4 && q==4) { ker=DLFEvalAssemble3D<4,4>; }
if (d==5 && q==5) { ker=DLFEvalAssemble3D<5,5>; }
if (d==2 && q==3) { ker=DLFEvalAssemble3D<2,3>; }
if (d==3 && q==4) { ker=DLFEvalAssemble3D<3,4>; }
if (d==4 && q==5) { ker=DLFEvalAssemble3D<4,5>; }
if (d==5 && q==6) { ker=DLFEvalAssemble3D<5,6>; }
}
MFEM_VERIFY(ker, "No kernel ndof " << d << " nqpt " << q);
const int vdim = fes.GetVDim();
const int ne = fes.GetMesh()->GetNE();
const real_t *B = maps.B.Read();
const int *M = markers.Read();
const real_t *B = maps.B.Read();
const real_t *detJ = geom->detJ.Read();
const real_t *W = ir->GetWeights().Read();
real_t *Y = y.ReadWrite();
DomainLFIntegrator::AssembleKernels::Run(dim, d, q, vdim, ne, d, q, map_type,
M, B, detJ, W, coeff, Y);
ker(vdim, ne, d, q, map_type, M, B, detJ, W, coeff, Y);
}
void DomainLFIntegrator::AssembleDevice(const FiniteElementSpace &fes,
const Array<int> &markers, Vector &b)
const Array<int> &markers,
Vector &b)
{
const FiniteElement &fe = *fes.GetTypicalFE();
const int qorder = oa * fe.GetOrder() + ob;
@@ -72,49 +266,4 @@ void VectorDomainLFIntegrator::AssembleDevice(const FiniteElementSpace &fes,
DLFEvalAssemble(fes, ir, markers, coeff, b);
}
DomainLFIntegrator::AssembleKernelType
DomainLFIntegrator::AssembleKernels::Fallback(int DIM, int, int)
{
switch (DIM)
{
case 1:
return DLFEvalAssemble1D<0, 0>;
case 2:
return DLFEvalAssemble2D<0, 0>;
case 3:
return DLFEvalAssemble3D<0, 0>;
}
MFEM_ABORT("");
}
DomainLFIntegrator::Kernels::Kernels()
{
// 2D
// Q = P+1
DomainLFIntegrator::AddSpecialization<2, 1, 1>();
DomainLFIntegrator::AddSpecialization<2, 2, 2>();
DomainLFIntegrator::AddSpecialization<2, 3, 3>();
DomainLFIntegrator::AddSpecialization<2, 4, 4>();
DomainLFIntegrator::AddSpecialization<2, 5, 5>();
// Q = P+2
DomainLFIntegrator::AddSpecialization<2, 2, 3>();
DomainLFIntegrator::AddSpecialization<2, 3, 4>();
DomainLFIntegrator::AddSpecialization<2, 4, 5>();
DomainLFIntegrator::AddSpecialization<2, 5, 6>();
// 3D
// Q = P+1
DomainLFIntegrator::AddSpecialization<3, 1, 1>();
DomainLFIntegrator::AddSpecialization<3, 2, 2>();
DomainLFIntegrator::AddSpecialization<3, 3, 3>();
DomainLFIntegrator::AddSpecialization<3, 4, 4>();
DomainLFIntegrator::AddSpecialization<3, 5, 5>();
// Q = P+2
DomainLFIntegrator::AddSpecialization<3, 2, 3>();
DomainLFIntegrator::AddSpecialization<3, 3, 4>();
DomainLFIntegrator::AddSpecialization<3, 4, 5>();
DomainLFIntegrator::AddSpecialization<3, 5, 6>();
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
-318
View File
@@ -1,318 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_LININTEG_DOMAIN_KERNELS_HPP
#define MFEM_LININTEG_DOMAIN_KERNELS_HPP
#include "../../fem/kernels.hpp"
#include "../../general/forall.hpp"
#include "../fem.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
template <int T_D1D = 0, int T_Q1D = 0>
static void DLFEvalAssemble1D(const int vdim, const int ne, const int d,
const int q, const int map_type,
const int *markers, const real_t *b,
const real_t *detj, const real_t *weights,
const Vector &coeff, real_t *y)
{
{
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_VERIFY(q <= Q, "");
MFEM_VERIFY(d <= D, "");
}
const auto F = coeff.Read();
const auto B = Reshape(b, q, d);
const auto DETJ = Reshape(detj, q, ne);
const bool cst = coeff.Size() == vdim;
const auto C = cst ? Reshape(F, vdim, 1, 1) : Reshape(F, vdim, q, ne);
auto Y = Reshape(y, d, vdim, ne);
mfem::forall_2D(ne, d, 1, [=] MFEM_HOST_DEVICE(int e)
{
if (markers[e] == 0)
{
return;
} // ignore
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_SHARED real_t sBt[Q * D];
const DeviceMatrix Bt(sBt, d, q);
kernels::internal::LoadB<D, Q>(d, q, B, sBt);
for (int c = 0; c < vdim; ++c)
{
const real_t cst_val = C(c, 0, 0);
MFEM_FOREACH_THREAD(dx, x, d)
{
real_t u = 0;
for (int qx = 0; qx < q; ++qx)
{
const real_t detJ =
(map_type == FiniteElement::VALUE) ? DETJ(qx, e) : 1.0;
const real_t coeff_val = cst ? cst_val : C(c, qx, e);
u += weights[qx] * coeff_val * detJ * Bt(dx, qx);
}
Y(dx, c, e) += u;
}
}
});
}
template <int T_D1D = 0, int T_Q1D = 0>
static void DLFEvalAssemble2D(const int vdim, const int ne, const int d,
const int q, const int map_type,
const int *markers, const real_t *b,
const real_t *detj, const real_t *weights,
const Vector &coeff, real_t *y)
{
{
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_VERIFY(q <= Q, "");
MFEM_VERIFY(d <= D, "");
}
const auto F = coeff.Read();
const auto B = Reshape(b, q, d);
const auto DETJ = Reshape(detj, q, q, ne);
const auto W = Reshape(weights, q, q);
const bool cst = coeff.Size() == vdim;
const auto C = cst ? Reshape(F, vdim, 1, 1, 1) : Reshape(F, vdim, q, q, ne);
auto Y = Reshape(y, d, d, vdim, ne);
mfem::forall_2D(ne, q, q, [=] MFEM_HOST_DEVICE(int e)
{
if (markers[e] == 0)
{
return;
} // ignore
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_SHARED real_t sBt[Q * D];
MFEM_SHARED real_t sQQ[Q * Q];
MFEM_SHARED real_t sQD[Q * D];
const DeviceMatrix Bt(sBt, d, q);
kernels::internal::LoadB<D, Q>(d, q, B, sBt);
const DeviceMatrix QQ(sQQ, q, q);
const DeviceMatrix QD(sQD, q, d);
for (int c = 0; c < vdim; ++c)
{
const real_t cst_val = C(c, 0, 0, 0);
MFEM_FOREACH_THREAD(x, x, q)
{
MFEM_FOREACH_THREAD(y, y, q)
{
const real_t detJ =
(map_type == FiniteElement::VALUE) ? DETJ(x, y, e) : 1.0;
const real_t coeff_val = cst ? cst_val : C(c, x, y, e);
QQ(y, x) = W(x, y) * coeff_val * detJ;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qy, y, q)
{
MFEM_FOREACH_THREAD(dx, x, d)
{
real_t u = 0.0;
for (int qx = 0; qx < q; ++qx)
{
u += QQ(qy, qx) * Bt(dx, qx);
}
QD(qy, dx) = u;
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dy, y, d)
{
MFEM_FOREACH_THREAD(dx, x, d)
{
real_t u = 0.0;
for (int qy = 0; qy < q; ++qy)
{
u += QD(qy, dx) * Bt(dy, qy);
}
Y(dx, dy, c, e) += u;
}
}
MFEM_SYNC_THREAD;
}
});
}
template <int T_D1D = 0, int T_Q1D = 0>
static void DLFEvalAssemble3D(const int vdim, const int ne, const int d,
const int q, const int map_type,
const int* markers, const real_t *b,
const real_t *detj, const real_t *weights,
const Vector &coeff, real_t *y)
{
{
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
MFEM_VERIFY(q <= Q, "");
MFEM_VERIFY(d <= D, "");
}
const auto F = coeff.Read();
const auto B = Reshape(b, q, d);
const auto DETJ = Reshape(detj, q, q, q, ne);
const auto W = Reshape(weights, q, q, q);
const bool cst_coeff = coeff.Size() == vdim;
const auto C =
cst_coeff ? Reshape(F, vdim, 1, 1, 1, 1) : Reshape(F, vdim, q, q, q, ne);
auto Y = Reshape(y, d, d, d, vdim, ne);
mfem::forall_2D(ne, q, q, [=] MFEM_HOST_DEVICE(int e)
{
if (markers[e] == 0)
{
return;
} // ignore
constexpr int Q = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int D = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
constexpr int MQD = (Q >= D) ? Q : D;
real_t u[D];
MFEM_SHARED real_t sBt[Q * D];
const DeviceMatrix Bt(sBt, d, q);
kernels::internal::LoadB<D, Q>(d, q, B, sBt);
MFEM_SHARED real_t sQQQ[MQD * MQD * MQD];
const DeviceCube QQQ(sQQQ, MQD, MQD, MQD);
for (int c = 0; c < vdim; ++c)
{
const real_t cst_val = C(c, 0, 0, 0, 0);
MFEM_FOREACH_THREAD(x, x, q)
{
MFEM_FOREACH_THREAD(y, y, q)
{
for (int z = 0; z < q; ++z)
{
const real_t detJ = (map_type == FiniteElement::VALUE)
? DETJ(x, y, z, e)
: 1.0;
const real_t coeff_val =
cst_coeff ? cst_val : C(c, x, y, z, e);
QQQ(z, y, x) = W(x, y, z) * coeff_val * detJ;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qx, x, q)
{
MFEM_FOREACH_THREAD(qy, y, q)
{
for (int dz = 0; dz < d; ++dz)
{
u[dz] = 0.0;
}
for (int qz = 0; qz < q; ++qz)
{
const real_t ZYX = QQQ(qz, qy, qx);
for (int dz = 0; dz < d; ++dz)
{
u[dz] += ZYX * Bt(dz, qz);
}
}
for (int dz = 0; dz < d; ++dz)
{
QQQ(dz, qy, qx) = u[dz];
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz, y, d)
{
MFEM_FOREACH_THREAD(qx, x, q)
{
for (int dy = 0; dy < d; ++dy)
{
u[dy] = 0.0;
}
for (int qy = 0; qy < q; ++qy)
{
const real_t zYX = QQQ(dz, qy, qx);
for (int dy = 0; dy < d; ++dy)
{
u[dy] += zYX * Bt(dy, qy);
}
}
for (int dy = 0; dy < d; ++dy)
{
QQQ(dz, dy, qx) = u[dy];
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz, y, d)
{
MFEM_FOREACH_THREAD(dy, x, d)
{
for (int dx = 0; dx < d; ++dx)
{
u[dx] = 0.0;
}
for (int qx = 0; qx < q; ++qx)
{
const real_t zyX = QQQ(dz, dy, qx);
for (int dx = 0; dx < d; ++dx)
{
u[dx] += zyX * Bt(dx, qx);
}
}
for (int dx = 0; dx < d; ++dx)
{
Y(dx, dy, dz, c, e) += u[dx];
}
}
}
MFEM_SYNC_THREAD;
}
});
}
template <int DIM, int T_D1D, int T_Q1D>
DomainLFIntegrator::AssembleKernelType
DomainLFIntegrator::AssembleKernels::Kernel()
{
switch (DIM)
{
case 1:
return DLFEvalAssemble1D<T_D1D, T_Q1D>;
case 2:
return DLFEvalAssemble2D<T_D1D, T_Q1D>;
case 3:
return DLFEvalAssemble3D<T_D1D, T_Q1D>;
}
MFEM_ABORT("");
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
#endif
-1
View File
@@ -947,7 +947,6 @@ int Quadrature1D::CheckOpen(int type)
case OpenUniform:
case ClosedUniform:
case OpenHalfUniform:
case ClosedGL:
return type; // all types can work as open
default:
return Invalid;
+29 -29
View File
@@ -346,13 +346,13 @@ private:
template<typename T>
T operator() (const blitz::TinyVector<T,3>& x) const
{
const int el_order = el->GetOrder();
std::vector<T> u1(el_order+1);
std::vector<T> u2(el_order+1);
std::vector<T> u3(el_order+1);
TmplPoly_1D::CalcBernstein(el_order, x[0], u1.data());
TmplPoly_1D::CalcBernstein(el_order, x[1], u2.data());
TmplPoly_1D::CalcBernstein(el_order, x[2], u3.data());
int el_order=el->GetOrder();
T u1[el_order+1];
T u2[el_order+1];
T u3[el_order+1];
TmplPoly_1D::CalcBernstein(el_order, x[0], u1);
TmplPoly_1D::CalcBernstein(el_order, x[1], u2);
TmplPoly_1D::CalcBernstein(el_order, x[2], u3);
const Array<int>& dof_map=el->GetDofMap();
@@ -370,17 +370,17 @@ private:
template<typename T>
blitz::TinyVector<T,3> grad(const blitz::TinyVector<T,3>& x) const
{
const int el_order = el->GetOrder();
std::vector<T> u1(el_order+1);
std::vector<T> u2(el_order+1);
std::vector<T> u3(el_order+1);
std::vector<T> d1(el_order+1);
std::vector<T> d2(el_order+1);
std::vector<T> d3(el_order+1);
int el_order=el->GetOrder();
T u1[el_order+1];
T u2[el_order+1];
T u3[el_order+1];
T d1[el_order+1];
T d2[el_order+1];
T d3[el_order+1];
TmplPoly_1D::CalcBernstein(el_order,x[0], u1.data(), d1.data());
TmplPoly_1D::CalcBernstein(el_order,x[1], u2.data(), d2.data());
TmplPoly_1D::CalcBernstein(el_order,x[2], u3.data(), d3.data());
TmplPoly_1D::CalcBernstein(el_order,x[0], u1, d1);
TmplPoly_1D::CalcBernstein(el_order,x[1], u2, d2);
TmplPoly_1D::CalcBernstein(el_order,x[2], u3, d3);
blitz::TinyVector<T,3> res(T(0.0),T(0.0),T(0.0));
@@ -415,11 +415,11 @@ private:
template<typename T>
T operator() (const blitz::TinyVector<T,2>& x) const
{
const int el_order = el->GetOrder();
std::vector<T> u1(el_order+1);
std::vector<T> u2(el_order+1);
TmplPoly_1D::CalcBernstein(el_order, x[0], u1.data());
TmplPoly_1D::CalcBernstein(el_order, x[1], u2.data());
int el_order=el->GetOrder();
T u1[el_order+1];
T u2[el_order+1];
TmplPoly_1D::CalcBernstein(el_order, x[0], u1);
TmplPoly_1D::CalcBernstein(el_order, x[1], u2);
const Array<int>& dof_map=el->GetDofMap();
@@ -437,14 +437,14 @@ private:
template<typename T>
blitz::TinyVector<T,2> grad(const blitz::TinyVector<T,2>& x) const
{
const int el_order = el->GetOrder();
std::vector<T> u1(el_order+1);
std::vector<T> u2(el_order+1);
std::vector<T> d1(el_order+1);
std::vector<T> d2(el_order+1);
int el_order=el->GetOrder();
T u1[el_order+1];
T u2[el_order+1];
T d1[el_order+1];
T d2[el_order+1];
TmplPoly_1D::CalcBernstein(el_order,x[0], u1.data(), d1.data());
TmplPoly_1D::CalcBernstein(el_order,x[1], u2.data(), d2.data());
TmplPoly_1D::CalcBernstein(el_order,x[0], u1, d1);
TmplPoly_1D::CalcBernstein(el_order,x[1], u2, d2);
blitz::TinyVector<T,2> res(T(0.0),T(0.0));
+1 -1
View File
@@ -78,7 +78,7 @@ namespace mfem
public: \
const char *kernel_name = MFEM_KERNEL_NAME(KernelName); \
using KernelSignature = KernelType; \
template <MFEM_PARAM_LIST P3> static KernelSignature Kernel(); \
template <MFEM_PARAM_LIST P3> static MFEM_EXPORT KernelSignature Kernel(); \
static MFEM_EXPORT KernelSignature Fallback(MFEM_PARAM_LIST P1); \
static MFEM_EXPORT KernelName &Get() { \
static KernelName table; \
+32 -10
View File
@@ -51,7 +51,7 @@ void LinearFormExtension::Assemble()
{
// scan the attributes to set the markers to 0 or 1
const int NE = fes.GetNE();
const auto attr = attributes->Read();
const auto attr = attributes.Read();
const auto dimk = domain_integs_marker_k->Read();
auto markers_w = markers.Write();
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
@@ -93,14 +93,13 @@ void LinearFormExtension::Assemble()
else
{
// scan the attributes to set the markers to 0 or 1
const int NBE = bdr_face_attributes->Size();
const auto attr = bdr_face_attributes->Read();
const int NBE = bdr_attributes.Size();
const auto attr = bdr_attributes.Read();
const auto attr_markers = boundary_integs_marker_k->Read();
auto markers_w = bdr_markers.Write();
mfem::forall(NBE, [=] MFEM_HOST_DEVICE(int e)
mfem::forall(NBE, [=] MFEM_HOST_DEVICE (int e)
{
markers_w[e] =
attr[e] > 0 ? (attr_markers[attr[e] - 1] == 1) : false;
markers_w[e] = attr_markers[attr[e]-1] == 1;
});
}
@@ -126,7 +125,8 @@ void LinearFormExtension::Update()
//markers.UseDevice(true);
// Gather the attributes on the host from all the elements
attributes = &mesh.GetElementAttributes();
attributes.SetSize(NE);
for (int i = 0; i < NE; ++i) { attributes[i] = mesh.GetAttribute(i); }
elem_restrict_lex = fes.GetElementRestriction(ordering);
MFEM_VERIFY(elem_restrict_lex, "Element restriction not available");
@@ -136,12 +136,34 @@ void LinearFormExtension::Update()
if (lf->boundary_integs.Size() > 0)
{
bdr_face_attributes = &mesh.GetBdrFaceAttributes();
const int nf_bdr = bdr_face_attributes->Size();
const int nf_bdr = fes.GetNFbyType(FaceType::Boundary);
bdr_markers.SetSize(nf_bdr);
// bdr_markers.UseDevice(true);
// The face restriction will give us "face E-vectors" on the boundary that
// are numbered in the order of the faces of mesh. This numbering will be
// different than the numbering of the boundary elements. We compute
// mappings so that the array `bdr_attributes[i]` gives the boundary
// attribute of the `i`th boundary face in the mesh face order.
std::unordered_map<int,int> f_to_be;
for (int i = 0; i < mesh.GetNBE(); ++i)
{
const int f = mesh.GetBdrElementFaceIndex(i);
f_to_be[f] = i;
}
MFEM_VERIFY(size_t(nf_bdr) == f_to_be.size(), "Incompatible sizes");
bdr_attributes.SetSize(nf_bdr);
int f_ind = 0;
for (int f = 0; f < mesh.GetNumFaces(); ++f)
{
if (f_to_be.find(f) != f_to_be.end())
{
const int be = f_to_be[f];
bdr_attributes[f_ind] = mesh.GetBdrAttribute(be);
++f_ind;
}
}
bdr_restrict_lex =
dynamic_cast<const FaceRestriction*>(
fes.GetFaceRestriction(ordering, FaceType::Boundary,
+2 -2
View File
@@ -14,6 +14,7 @@
#include "../general/array.hpp"
#include "../linalg/vector.hpp"
#include "fespace.hpp"
namespace mfem
{
@@ -25,8 +26,7 @@ class LinearForm;
class LinearFormExtension
{
/// Attributes of all mesh elements.
const Array<int> *attributes; // Not owned
const Array<int> *bdr_face_attributes; // Not owned
Array<int> attributes, bdr_attributes;
/// Temporary markers for device kernels.
Array<int> markers, bdr_markers;
-20
View File
@@ -35,19 +35,6 @@ void LinearFormIntegrator::AssembleRHSElementVect(
mfem_error("LinearFormIntegrator::AssembleRHSElementVect(...)");
}
DomainLFIntegrator::DomainLFIntegrator(Coefficient &QF, int a, int b)
: DeltaLFIntegrator(QF), Q(QF), oa(a), ob(b)
{
static Kernels kernels;
}
DomainLFIntegrator::DomainLFIntegrator(Coefficient &QF,
const IntegrationRule *ir)
: DeltaLFIntegrator(QF, ir), Q(QF), oa(1), ob(1)
{
static Kernels kernels;
}
void DomainLFIntegrator::AssembleRHSElementVect(const FiniteElement &el,
ElementTransformation &Tr,
Vector &elvect)
@@ -279,13 +266,6 @@ void BoundaryTangentialLFIntegrator::AssembleRHSElementVect(
}
}
VectorDomainLFIntegrator::VectorDomainLFIntegrator(VectorCoefficient &QF,
const IntegrationRule *ir)
: DeltaLFIntegrator(QF, ir), Q(QF)
{
static DomainLFIntegrator::Kernels kernels;
}
void VectorDomainLFIntegrator::AssembleRHSElementVect(
const FiniteElement &el, ElementTransformation &Tr, Vector &elvect)
{
+11 -32
View File
@@ -18,8 +18,6 @@
#include <random>
#include "integrator.hpp"
#include "kernel_dispatch.hpp"
namespace mfem
{
@@ -111,12 +109,14 @@ class DomainLFIntegrator : public DeltaLFIntegrator
int oa, ob;
public:
/// Constructs a domain integrator with a given Coefficient
/// the old default was a = 1, b = 1
/// for simple elliptic problems a = 2, b = -2 is OK
DomainLFIntegrator(Coefficient &QF, int a = 2, int b = 0);
DomainLFIntegrator(Coefficient &QF, int a = 2, int b = 0)
// the old default was a = 1, b = 1
// for simple elliptic problems a = 2, b = -2 is OK
: DeltaLFIntegrator(QF), Q(QF), oa(a), ob(b) { }
/// Constructs a domain integrator with a given Coefficient
DomainLFIntegrator(Coefficient &QF, const IntegrationRule *ir);
DomainLFIntegrator(Coefficient &QF, const IntegrationRule *ir)
: DeltaLFIntegrator(QF, ir), Q(QF), oa(1), ob(1) { }
bool SupportsDevice() const override { return true; }
@@ -136,22 +136,6 @@ public:
Vector &elvect) override;
using LinearFormIntegrator::AssembleRHSElementVect;
/// args: vdim, ne, d1d, q1d, map_type, markers, B, detJ, W, coeff, y
using AssembleKernelType = void (*)(const int, const int, const int,
const int, const int, const int *,
const real_t *, const real_t *,
const real_t *, const Vector &coeff,
real_t *y);
/// parameters: use DIM, T_D1D, T_Q1D
MFEM_REGISTER_KERNELS(AssembleKernels, AssembleKernelType, (int, int, int));
struct Kernels { Kernels(); };
template <int DIM, int D1D, int Q1D> static void AddSpecialization()
{
AssembleKernels::Specialization<DIM, D1D, Q1D>::Add();
}
};
/// Class for domain integrator $ L(v) := (f, \nabla v) $
@@ -272,13 +256,14 @@ private:
public:
/// Constructs a domain integrator with a given VectorCoefficient
VectorDomainLFIntegrator(VectorCoefficient &QF,
const IntegrationRule *ir = nullptr);
VectorDomainLFIntegrator(VectorCoefficient &QF)
: DeltaLFIntegrator(QF), Q(QF) { }
bool SupportsDevice() const override { return true; }
/// Method defining assembly on device
void AssembleDevice(const FiniteElementSpace &fes, const Array<int> &markers,
void AssembleDevice(const FiniteElementSpace &fes,
const Array<int> &markers,
Vector &b) override;
/** Given a particular Finite Element and a transformation (Tr)
@@ -292,12 +277,6 @@ public:
Vector &elvect) override;
using LinearFormIntegrator::AssembleRHSElementVect;
template <int DIM, int D1D, int Q1D> static void AddSpecialization()
{
// uses the same kernels for assembly
DomainLFIntegrator::AssembleKernels::Specialization<DIM, D1D, Q1D>::Add();
}
};
/** Class for domain integrator $ L(v) := (f, \nabla v) $, where
@@ -565,7 +544,7 @@ public:
Specifically, given the Dirichlet data $u_D$, the linear form assembles the
following integrals on the boundary:
$$
\sigma \langle u_D, (Q \nabla v) \cdot n \rangle + \kappa \langle {h^{-1} Q} u_D, v \rangle,
\sigma \langle u_D, (Q \nabla v)) \cdot n \rangle + \kappa \langle {h^{-1} Q} u_D, v \rangle,
$$
where Q is a scalar or matrix diffusion coefficient and v is the test
function. The parameters $\sigma$ and $\kappa$ should be the same as the ones
+2
View File
@@ -365,6 +365,8 @@ FiniteElementSpace &LORBase::GetFESpace() const
void LORBase::AssembleSystem(BilinearForm &a_ho, const Array<int> &ess_dofs)
{
MFEM_PERF_FUNCTION;
A.Clear();
delete a;
if (BatchedLORAssembly::FormIsSupported(a_ho))
+26 -264
View File
@@ -14,11 +14,9 @@
#include "../../general/forall.hpp"
#include <climits>
#include "../pbilinearform.hpp"
#include "../../fem/fe/face_map_utils.hpp"
// Specializations
#include "lor_h1.hpp"
#include "lor_dg.hpp"
#include "lor_nd.hpp"
#include "lor_rt.hpp"
@@ -56,18 +54,17 @@ bool BatchedLORAssembly::FormIsSupported(BilinearForm &a)
// Batched LOR requires all tensor elements
if (!UsesTensorBasis(*a.FESpace())) { return false; }
if (dynamic_cast<const H1_FECollection*>(fec) ||
dynamic_cast<const DG_FECollection*>(fec))
if (dynamic_cast<const H1_FECollection*>(fec))
{
return HasIntegrators<DiffusionIntegrator, MassIntegrator>(a);
if (HasIntegrators<DiffusionIntegrator, MassIntegrator>(a)) { return true; }
}
else if (dynamic_cast<const ND_FECollection*>(fec))
{
return HasIntegrators<CurlCurlIntegrator, VectorFEMassIntegrator>(a);
if (HasIntegrators<CurlCurlIntegrator, VectorFEMassIntegrator>(a)) { return true; }
}
else if (dynamic_cast<const RT_FECollection*>(fec))
{
return HasIntegrators<DivDivIntegrator, VectorFEMassIntegrator>(a);
if (HasIntegrators<DivDivIntegrator, VectorFEMassIntegrator>(a)) { return true; }
}
return false;
}
@@ -78,14 +75,12 @@ void BatchedLORAssembly::FormLORVertexCoordinates(FiniteElementSpace &fes_ho,
Mesh &mesh_ho = *fes_ho.GetMesh();
mesh_ho.EnsureNodes();
const bool dg = fes_ho.IsDGSpace();
// Get nodal points at the LOR vertices
const int dim = mesh_ho.Dimension();
const int sdim = mesh_ho.SpaceDimension();
const int nel_ho = mesh_ho.GetNE();
const int order = fes_ho.GetMaxElementOrder();
const int nd1d = dg ? order + 2 : order + 1;
const int nd1d = order + 1;
const int ndof_per_el = static_cast<int>(pow(nd1d, dim));
const GridFunction *nodal_gf = mesh_ho.GetNodes();
@@ -97,8 +92,7 @@ void BatchedLORAssembly::FormLORVertexCoordinates(FiniteElementSpace &fes_ho,
Vector nodal_evec(nodal_restriction->Height());
nodal_restriction->Mult(*nodal_gf, nodal_evec);
const IntegrationRule ir = GetLobattoIntRule(
mesh_ho.GetTypicalElementGeometry(), nd1d);
IntegrationRule ir = GetCollocatedIntRule(fes_ho);
// Map from nodal E-vector to Q-vector at the LOR vertex points
X_vert.SetSize(sdim*ndof_per_el*nel_ho);
@@ -165,7 +159,6 @@ int BatchedLORAssembly::FillI(SparseMatrix &A) const
const auto K = dof_glob2loc_offsets_.Read();
const auto map = Reshape(sparse_mapping.Read(), nnz_per_row, ndof_per_el);
auto I = A.WriteI();
mfem::forall(nvdof + 1, [=] MFEM_HOST_DEVICE (int ii) { I[ii] = 0; });
@@ -365,179 +358,10 @@ void BatchedLORAssembly::FillJAndData(SparseMatrix &A) const
});
}
void BatchedLORAssembly::SparseIJToCSR_DG(OperatorHandle &A) const
{
const int ndof_per_el = fes_ho.GetFE(0)->GetDof();
const int nel_ho = fes_ho.GetNE();
const int nnz_per_row = sparse_ij.Size()/ndof_per_el/nel_ho;
const int dim = fes_ho.GetMesh()->Dimension();
const int nrows = nel_ho*ndof_per_el;
const int p = fes_ho.GetMaxElementOrder();
const int pp1 = p + 1;
const int nnz = nrows*nnz_per_row;
const int face_nbr_vsize = [&]()
{
#ifdef MFEM_USE_MPI
if (auto *par_fes = dynamic_cast<ParFiniteElementSpace*>(&fes_ho))
{
return par_fes->GetFaceNbrVSize();
}
#endif
return 0;
}();
// If A contains an existing SparseMatrix, reuse it (and try to reuse its
// I, J, A arrays if they are big enough)
SparseMatrix *A_mat = A.Is<SparseMatrix>();
if (!A_mat)
{
A_mat = new SparseMatrix;
A.Reset(A_mat);
}
// The second argument (nrows + face_nbr_vsize) accounts for additional
// columns contributed by DG face neighbors in parallel finite element
// spaces. In serial, face_nbr_vsize is set to 0.
A_mat->OverrideSize(nrows, nrows + face_nbr_vsize);
EnsureCapacity(A_mat->GetMemoryI(), nrows + 1);
EnsureCapacity(A_mat->GetMemoryJ(), nnz);
EnsureCapacity(A_mat->GetMemoryData(), nnz);
Array<int> nbr_info(nel_ho*3*2*dim);
auto h_nbr_info = Reshape(nbr_info.HostWrite(), nel_ho, 2*dim, 3);
const int num_faces = fes_ho.GetMesh()->GetNumFaces();
for (int f = 0; f < num_faces; f++)
{
Mesh::FaceInformation finfo = fes_ho.GetMesh()->GetFaceInformation(f);
int e0 = finfo.element[0].index;
int f0 = finfo.element[0].local_face_id;
if (finfo.IsBoundary())
{
h_nbr_info(e0,f0,0) = -1;
h_nbr_info(e0,f0,1)= -1;
h_nbr_info(e0,f0,2)= -1;
}
else if (finfo.IsShared())
{
// Face neighbors elements are indexed after the last local element
h_nbr_info(e0,f0,0) = nel_ho + finfo.element[1].index;
h_nbr_info(e0,f0,1)= finfo.element[1].orientation;
h_nbr_info(e0,f0,2)= finfo.element[1].local_face_id;
}
else if (finfo.IsInterior())
{
int e1 = finfo.element[1].index;
int f1 = finfo.element[1].local_face_id;
h_nbr_info(e0,f0,0) = e1;
h_nbr_info(e0,f0,1)= finfo.element[1].orientation;
h_nbr_info(e0,f0,2)= f1;
h_nbr_info(e1,f1,0) = e0;
h_nbr_info(e1,f1,1) = finfo.element[1].orientation;
h_nbr_info(e1,f1,2) = f0;
}
};
auto h_I = A_mat->HostWriteI();
h_I[0] = 0;
for (int i = 0; i < nrows; ++i)
{
const int iel_ho = i / ndof_per_el;
const int iloc = i % ndof_per_el;
static const int lex_map_2[4] = {3, 1, 0, 2};
static const int lex_map_3[6] = {4, 2, 1, 3, 0, 5};
const int local_i[3] = {iloc % pp1, (iloc/pp1)%pp1, iloc/pp1/pp1};
int bdr_count = 0;
for (int n_idx = 0; n_idx < dim; ++n_idx)
{
for (int e_i = 0; e_i < 2; ++e_i)
{
const int j_lex = e_i + n_idx*2;
const int f = (dim == 3) ? lex_map_3[j_lex]:lex_map_2[j_lex];
const bool boundary = (local_i[n_idx] == e_i * p);
if (boundary)
{
int neighbor_idx = h_nbr_info(iel_ho, f, 0);
if (neighbor_idx == -1)
{
++bdr_count;
}
}
}
}
h_I[i+1] = h_I[i] + (nnz_per_row - bdr_count);
}
const auto V = Reshape(sparse_ij.Read(), nnz_per_row, ndof_per_el, nel_ho);
auto J = A_mat->WriteJ();
auto AV = A_mat->WriteData();
auto I = A_mat->ReadI();
auto d_nbr_info = Reshape(nbr_info.Read(), nel_ho, 2*dim, 3);
mfem::forall(nrows, [=] MFEM_HOST_DEVICE (int i)
{
const int e = i / ndof_per_el;
const int iloc = i % ndof_per_el;
const int local_x = iloc % pp1;
const int local_y = (iloc/pp1)%pp1;
const int local_z = iloc/pp1/pp1;
const int local_i[3] = {local_x, local_y, local_z};
int offset = I[i];
static const int lex_map_2[4] = {3, 1, 0, 2};
static const int lex_map_3[6] = {4,2,1,3,0,5};
const int *lex_map = (dim == 2) ? lex_map_2 : lex_map_3;
AV[offset] = V(0, iloc, e);
J[offset] = i;
++offset;
for (int n_idx = 0; n_idx < dim; ++n_idx)
{
// qi is the face lexicographic index, obtained by taking the
// lexicographic index of the coordinates ommiting n_idx.
int qi = 0;
int stride = 1;
for (int d = 0; d < dim; ++d)
{
if (d != n_idx)
{
qi += local_i[d]*stride;
stride *= pp1;
}
}
for (int e_i = 0; e_i < 2; ++e_i)
{
const int j_lex = e_i + n_idx*2;
const int f = lex_map[j_lex];
const bool bdr = (local_i[n_idx] == e_i * p);
if (bdr)
{
const int nbr_e = d_nbr_info(e, f, 0);
const int nbr_ori = d_nbr_info(e, f, 1);
const int nbr_f = d_nbr_info(e, f, 2);
if (nbr_e != -1)
{
const int nbr_loc_idx = internal::FaceIdxToVolIdx(
dim, qi, pp1, f, nbr_f, 1, nbr_ori);
J[offset] = nbr_e*ndof_per_el + nbr_loc_idx;
AV[offset] = V(f+1, iloc, e);
++offset;
}
}
else
{
int shift = (e_i == 0) ? -1 : 1;
for (int n = 0; n < n_idx; ++n) { shift *= pp1; }
J[offset] = i + shift;
AV[offset] = V(f+1, iloc, e);
++offset;
}
}
}
});
}
void BatchedLORAssembly::SparseIJToCSR(OperatorHandle &A) const
{
MFEM_PERF_FUNCTION;
const int nvdof = fes_ho.GetVSize();
// If A contains an existing SparseMatrix, reuse it (and try to reuse its
@@ -550,11 +374,12 @@ void BatchedLORAssembly::SparseIJToCSR(OperatorHandle &A) const
}
A_mat->OverrideSize(nvdof, nvdof);
EnsureCapacity(A_mat->GetMemoryI(), nvdof + 1);
const int nnz = FillI(*A_mat);
EnsureCapacity(A_mat->GetMemoryJ(), nnz);
EnsureCapacity(A_mat->GetMemoryData(), nnz);
A_mat->GetMemoryI().New(nvdof+1, Device::GetDeviceMemoryType());
int nnz = FillI(*A_mat);
A_mat->GetMemoryJ().New(nnz, Device::GetDeviceMemoryType());
A_mat->GetMemoryData().New(nnz, Device::GetDeviceMemoryType());
FillJAndData(*A_mat);
}
@@ -594,6 +419,8 @@ static void Assemble_(LOR_KERNEL &kernel, int dim, int sdim, int order)
template <typename LOR_KERNEL>
void BatchedLORAssembly::AssemblyKernel(BilinearForm &a)
{
MFEM_PERF_FUNCTION;
LOR_KERNEL kernel(a, fes_ho, X_vert, sparse_ij, sparse_mapping);
const int dim = fes_ho.GetMesh()->Dimension();
@@ -608,19 +435,6 @@ void BatchedLORAssembly::AssembleWithoutBC(BilinearForm &a, OperatorHandle &A)
// Assemble the matrix, depending on what the form is.
// This fills in the arrays sparse_ij and sparse_mapping.
const FiniteElementCollection *fec = fes_ho.FEColl();
// Handle DG case separately, because assembly of CSR matrix requires
// handling face terms.
if (dynamic_cast<const DG_FECollection*>(fec))
{
if (HasIntegrators<DiffusionIntegrator, MassIntegrator>(a))
{
AssemblyKernel<BatchedLOR_DG>(a);
}
SparseIJToCSR_DG(A);
return;
}
if (dynamic_cast<const H1_FECollection*>(fec))
{
if (HasIntegrators<DiffusionIntegrator, MassIntegrator>(a))
@@ -643,47 +457,10 @@ void BatchedLORAssembly::AssembleWithoutBC(BilinearForm &a, OperatorHandle &A)
}
}
SparseIJToCSR(A);
return SparseIJToCSR(A);
}
#ifdef MFEM_USE_MPI
void BatchedLORAssembly::ParAssemble_DG(SparseMatrix &A_local,
OperatorHandle &A)
{
auto &par_fes = static_cast<ParFiniteElementSpace&>(fes_ho);
// handle the case when 'a' contains off-diagonal
const int lvsize = par_fes.GetVSize();
const Array<HYPRE_BigInt> &face_nbr_glob_ldof =
par_fes.GetFaceNbrGlobalDofMapArray();
const HYPRE_BigInt ldof_offset = par_fes.GetMyDofOffset();
const int nnz_local = A_local.NumNonZeroElems();
Array<HYPRE_BigInt> glob_J(nnz_local);
const HYPRE_BigInt *d_face_nbr_glob_ldof = face_nbr_glob_ldof.Read();
const int *d_J = A_local.ReadJ();
HYPRE_BigInt *d_glob_J = glob_J.Write();
mfem::forall(nnz_local, [=] MFEM_HOST_DEVICE (int i)
{
if (d_J[i] < lvsize)
{
d_glob_J[i] = d_J[i] + ldof_offset;
}
else
{
d_glob_J[i] = d_face_nbr_glob_ldof[d_J[i] - lvsize];
}
});
A.Reset(new HypreParMatrix(
par_fes.GetComm(), lvsize, par_fes.GlobalVSize(),
par_fes.GlobalVSize(), A_local.HostReadWriteI(),
glob_J.HostReadWrite(), A_local.HostReadWriteData(),
par_fes.GetDofOffsets(), par_fes.GetDofOffsets()));
}
void BatchedLORAssembly::ParAssemble(
BilinearForm &a, const Array<int> &ess_dofs, OperatorHandle &A)
{
@@ -691,18 +468,13 @@ void BatchedLORAssembly::ParAssemble(
OperatorHandle A_local;
AssembleWithoutBC(a, A_local);
if (dynamic_cast<const DG_FECollection*>(fes_ho.FEColl()))
{
ParAssemble_DG(*A_local.As<SparseMatrix>(), A);
}
else
{
ParBilinearForm *pa =
dynamic_cast<ParBilinearForm*>(&a);
pa->ParallelRAP(*A_local.As<SparseMatrix>(), A, true);
A.As<HypreParMatrix>()->EliminateBC(ess_dofs,
Operator::DiagonalPolicy::DIAG_ONE);
}
ParBilinearForm *pa =
dynamic_cast<ParBilinearForm*>(&a);
pa->ParallelRAP(*A_local.As<SparseMatrix>(), A, true);
A.As<HypreParMatrix>()->EliminateBC(ess_dofs,
Operator::DiagonalPolicy::DIAG_ONE);
}
#endif
@@ -736,22 +508,12 @@ BatchedLORAssembly::BatchedLORAssembly(FiniteElementSpace &fes_ho_)
FormLORVertexCoordinates(fes_ho, X_vert);
}
IntegrationRule GetLobattoIntRule(Geometry::Type geom, int nd1d)
IntegrationRule GetCollocatedIntRule(FiniteElementSpace &fes)
{
IntegrationRules irs(0, Quadrature1D::GaussLobatto);
const Geometry::Type geom = fes.GetMesh()->GetTypicalElementGeometry();
const int nd1d = fes.GetMaxElementOrder() + 1;
return irs.Get(geom, 2*nd1d - 3);
}
IntegrationRule GetCollocatedIntRule(FiniteElementSpace &fes)
{
const Geometry::Type geom = fes.GetMesh()->GetTypicalElementGeometry();
return GetLobattoIntRule(geom, fes.GetMaxElementOrder() + 1);
}
IntegrationRule GetCollocatedFaceIntRule(FiniteElementSpace &fes)
{
const Geometry::Type geom = fes.GetMesh()->GetTypicalFaceGeometry();
return GetLobattoIntRule(geom, fes.GetMaxElementOrder() + 1);
}
} // namespace mfem
+2 -32
View File
@@ -25,7 +25,6 @@ namespace mfem
/// supported, currently:
///
/// - H1 diffusion + mass
/// - DG diffusion + mass (in progress)
/// - ND curl-curl + mass
/// - RT div-div + mass
///
@@ -74,9 +73,6 @@ public:
/// Return the vertices of the LOR mesh in E-vector format
const Vector &GetLORVertexCoordinates() { return X_vert; }
/// Specialized implementation of SparseIJToCSR for DG spaces.
void SparseIJToCSR_DG(OperatorHandle &A) const;
protected:
/// After assembling the "sparse IJ" format, convert it to CSR.
void SparseIJToCSR(OperatorHandle &A) const;
@@ -109,9 +105,6 @@ public:
void FillJAndData(SparseMatrix &A) const;
#ifdef MFEM_USE_MPI
/// Assemble the parallel DG matrix (with shared faces).
void ParAssemble_DG(SparseMatrix &A_local, OperatorHandle &A);
/// Assemble the system in parallel and place the result in @a A.
void ParAssemble(BilinearForm &a, const Array<int> &ess_dofs,
OperatorHandle &A);
@@ -135,8 +128,9 @@ void EnsureCapacity(Memory<T> &mem, int capacity)
/// Return the first domain integrator in the form @a i of type @a T.
template <typename T>
static T *GetIntegrator(Array<BilinearFormIntegrator*> *integs)
static T *GetIntegrator(BilinearForm &a)
{
Array<BilinearFormIntegrator*> *integs = a.GetDBFI();
if (integs != NULL)
{
for (auto *i : *integs)
@@ -150,32 +144,8 @@ static T *GetIntegrator(Array<BilinearFormIntegrator*> *integs)
return nullptr;
}
template <typename T>
static T *GetIntegrator(BilinearForm &a)
{
return GetIntegrator<T>(a.GetDBFI());
}
template <typename T>
static T *GetInteriorFaceIntegrator(BilinearForm &a)
{
return GetIntegrator<T>(a.GetFBFI());
}
/// @brief Return the Gauss-Lobatto rule for geometry @a geom with @a nd1d
/// points per dimension.
IntegrationRule GetLobattoIntRule(Geometry::Type geom, int nd1d);
/// @brief Return the Gauss-Lobatto rule collocated with the element nodes.
///
/// Assumes @a fes uses Gauss-Lobatto basis.
IntegrationRule GetCollocatedIntRule(FiniteElementSpace &fes);
/// @brief Return the Gauss-Lobatto rule collocated with face nodes.
///
/// Assumes @a fes uses Gauss-Lobatto basis.
IntegrationRule GetCollocatedFaceIntRule(FiniteElementSpace &fes);
template <typename INTEGRATOR>
void ProjectLORCoefficient(BilinearForm &a, CoefficientVector &coeff_vector)
{
-79
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@@ -1,79 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#ifndef MFEM_LOR_DG
#define MFEM_LOR_DG
#include "lor_batched.hpp"
namespace mfem
{
// BatchedLORKernel specialization for DG spaces. Not user facing. See the
// classes BatchedLORAssembly and BatchedLORKernel .
class BatchedLOR_DG : BatchedLORKernel
{
IntegrationRule ir_face; ///< Collocated Gauss-Lobatto face quadrature rule.
real_t kappa; ///< DG penalty parameter.
public:
template <int ORDER, int SDIM> void Assemble2D();
template <int ORDER> void Assemble3D();
BatchedLOR_DG(BilinearForm &a,
FiniteElementSpace &fes_ho_,
Vector &X_vert_,
Vector &sparse_ij_,
Array<int> &sparse_mapping_)
: BatchedLORKernel(fes_ho_, X_vert_, sparse_ij_, sparse_mapping_),
ir_face(GetLobattoIntRule(fes_ho_.GetMesh()->GetTypicalFaceGeometry(),
fes_ho_.GetMaxElementOrder() + 1))
{
ProjectLORCoefficient<MassIntegrator>(a, c1);
ProjectLORCoefficient<DiffusionIntegrator>(a, c2);
auto *integ = GetInteriorFaceIntegrator<DGDiffusionIntegrator>(a);
if (integ)
{
kappa = integ->GetPenaltyParameter();
}
else
{
kappa = 0.0;
}
}
/// @brief Compute and return the face info array.
///
/// The face info array has shape (6, nf), where @a nf is the number of
/// faces. For each face @a i, the column (:,i) has entries (e0, f0, o0, e1,
/// f1, o1), where @a e is adjacent element, @a f is the local face index,
/// and @a o is the orientation. For boundary and shared faces, (e1, f1, o1)
/// are all set to -1.
Array<int> GetFaceInfo() const;
/// @brief Compute and return the boundary penalty factor.
///
/// The returned vector has shape (nq, nf), where @a nq is the number of
/// nodes per face, and @a nf is the number of faces.
///
/// The boundary penalty factor is $J_f / h = J_f^2 / J_e$ (since $h = J_e /
/// J_f$), where $J_f$ is the face Jacobian determinant, and $J_e$ is the
/// element Jacobian determinant.
Vector GetBdrPenaltyFactor() const;
/// Assemble the face penalty terms in the matrix @a sparse_ij.
void AssembleFaceTerms();
};
}
#include "lor_dg_impl.hpp"
#endif
-392
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@@ -1,392 +0,0 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#pragma once
#include "lor_dg.hpp"
#include "../fe/face_map_utils.hpp"
#include "../../linalg/dtensor.hpp"
#include "../../general/forall.hpp"
namespace mfem
{
Array<int> BatchedLOR_DG::GetFaceInfo() const
{
Mesh &mesh = *fes_ho.GetMesh();
const int nf = mesh.GetNumFaces();
Array<int> face_info(nf * 6); // (e0, f0, o0, e1, f1, o1)
auto h_face_info = Reshape(face_info.HostWrite(), 6, nf);
for (int f = 0; f < nf; ++f)
{
auto finfo = mesh.GetFaceInformation(f);
h_face_info(0, f) = finfo.element[0].index;
h_face_info(1, f) = finfo.element[0].local_face_id;
h_face_info(2, f) = finfo.element[0].orientation;
if (finfo.IsLocal()) // Interior, non-shared face
{
h_face_info(3, f) = finfo.element[1].index;
h_face_info(4, f) = finfo.element[1].local_face_id;
h_face_info(5, f) = finfo.element[1].orientation;
}
else
{
h_face_info(3, f) = -1;
h_face_info(4, f) = -1;
h_face_info(5, f) = -1;
}
}
return face_info;
}
Vector BatchedLOR_DG::GetBdrPenaltyFactor() const
{
Mesh &mesh = *fes_ho.GetMesh();
const int nf = mesh.GetNumFaces();
Array<int> f_int(mesh.GetNFbyType(FaceType::Interior));
Array<int> f_bdr(mesh.GetNFbyType(FaceType::Boundary));
{
int i_int = 0;
int i_bdr = 0;
for (int i = 0; i < nf; ++i)
{
const auto f = mesh.GetFaceInformation(i);
if (f.IsBoundary())
{
f_bdr[i_bdr] = i;
++i_bdr;
}
else if (f.IsInterior())
{
f_int[i_int] = i;
++i_int;
}
}
}
const auto geom = fes_ho.GetMesh()->GetGeometricFactors(
ir, GeometricFactors::DETERMINANTS);
const int nq = ir_face.Size();
Vector face_Jh(nq * nf);
for (const FaceType ft : {FaceType::Interior, FaceType::Boundary})
{
const int nft = mesh.GetNFbyType(ft);
auto *geom_face = mesh.GetFaceGeometricFactors(
ir_face, FaceGeometricFactors::DETERMINANTS, ft);
const L2FaceValues fv = (ft == FaceType::Interior)
? L2FaceValues::DoubleValued
: L2FaceValues::SingleValued;
const int m = (fv == L2FaceValues::DoubleValued) ? 2 : 1;
auto *r = fes_ho.GetFaceRestriction(ElementDofOrdering::LEXICOGRAPHIC, ft, fv);
Vector detJ_r(nq * m * nft);
r->Mult(geom->detJ, detJ_r);
const auto *d_i = (ft == FaceType::Interior) ? f_int.Read() : f_bdr.Read();
const auto d_detJ_face = Reshape(geom_face->detJ.Read(), nq, nft);
const auto d_detJ_r = Reshape(detJ_r.Read(), nq, m, nft);
auto d_face_Jh = Reshape(face_Jh.Write(), nq, nf);
mfem::forall(nft * nq, [=] MFEM_HOST_DEVICE (int ii)
{
const int i = ii % nq;
const int f = ii / nq;
const real_t J_el = 0.5*(d_detJ_r(i, 0, f) + d_detJ_r(i, m==2?1:0, f));
const real_t J_f = d_detJ_face(i, f);
d_face_Jh(i, d_i[f]) = J_f * J_f / J_el;
});
}
return face_Jh;
}
void BatchedLOR_DG::AssembleFaceTerms()
{
Mesh &mesh = *fes_ho.GetMesh();
const int nnz_per_row = 1 + mesh.Dimension()*2;
const int pp1 = fes_ho.GetMaxElementOrder() + 1;
const int nel_ho = mesh.GetNE();
const int nf = mesh.GetNumFaces();
const int nd_face = ir_face.Size();
const int nd = ir.Size();
const int dim = mesh.Dimension();
Array<int> face_info = GetFaceInfo();
const auto d_face_info = Reshape(face_info.Read(), 6, nf);
Vector face_Jh = GetBdrPenaltyFactor();
const auto d_face_Jh = Reshape(face_Jh.Read(), nd_face, nf);
const auto *w_face = ir_face.GetWeights().Read();
// Penalty parameter (avoid capturing *this in lambda)
const real_t d_kappa = kappa;
// Get diffusion coefficient
const bool const_dq = c2.Size() == 1;
const auto DQ = const_dq?Reshape(c2.Read(),1,1):Reshape(c2.Read(),nd,nel_ho);
// Sparse matrix entries
auto V = Reshape(sparse_ij.ReadWrite(), nnz_per_row, nd, nel_ho);
mfem::forall(nf, [=] MFEM_HOST_DEVICE (int f)
{
const int f_0 = d_face_info(1, f);
const int f_1 = d_face_info(4, f);
const int nsides = (f_1 >= 0) ? 2 : 1;
for (int el_i = 0; el_i < nsides; ++el_i)
{
const int e = d_face_info(3*el_i, f);
const int o = d_face_info(3*el_i + 2, f);
const int v_idx = 1 + ((el_i == 0) ? f_0 : f_1);
for (int i = 0; i < nd_face; ++i)
{
const int ii = internal::FaceIdxToVolIdx(dim, i, pp1, f_0, f_1, el_i, o);
const real_t Jh = d_face_Jh(i, f);
const real_t dq = const_dq ? DQ(0,0) : DQ(ii, e);
V(v_idx, ii, e) = -dq*d_kappa*Jh*w_face[i];
}
}
});
}
template <int ORDER, int SDIM>
void BatchedLOR_DG::Assemble2D()
{
MFEM_VERIFY(SDIM == 2, "Surface meshes not currently supported for LOR-DG.")
static constexpr int pp1 = ORDER + 1;
static constexpr int ndof_per_el = pp1*pp1;
static constexpr int nnz_per_row = 5;
const int nel_ho = fes_ho.GetNE();
// Get element geometric factors; calling before AssembleFaceTerms, since
// in AssembleFaceTerms, element Jacobian determinants are used, potentially
// saving recomputation.
const auto factors = GeometricFactors::DETERMINANTS |
GeometricFactors::JACOBIANS;
const auto *geom = fes_ho.GetMesh()->GetGeometricFactors(ir, factors);
// Sparse matrix entries
sparse_ij.SetSize(nnz_per_row*ndof_per_el*nel_ho);
sparse_ij.UseDevice(true);
sparse_ij = 0.0;
auto V = Reshape(sparse_ij.ReadWrite(), nnz_per_row, pp1, pp1, nel_ho);
AssembleFaceTerms();
// Populate Gauss-Lobatto quadrature rule of size (p+1)
IntegrationRule ir_pp1;
QuadratureFunctions1D::GaussLobatto(pp1, &ir_pp1);
Vector glx_pp1(pp1), glw_pp1(pp1);
for (int i = 0; i < pp1; ++i)
{
glx_pp1[i] = ir_pp1[i].x;
glw_pp1[i] = ir_pp1[i].weight;
}
const auto *x_pp1 = glx_pp1.Read();
const auto *w_1d = glw_pp1.Read();
// Get coefficients for mass and diffusion
const bool const_mq = c1.Size() == 1;
const auto MQ = const_mq
? Reshape(c1.Read(), 1, 1, 1)
: Reshape(c1.Read(), pp1, pp1, nel_ho);
const bool const_dq = c2.Size() == 1;
const auto DQ = const_dq
? Reshape(c2.Read(), 1, 1, 1)
: Reshape(c2.Read(), pp1, pp1, nel_ho);
const auto detJ = Reshape(geom->detJ.Read(), pp1, pp1, nel_ho);
const auto J = Reshape(geom->J.Read(), pp1, pp1, 2, 2, nel_ho);
const auto W = Reshape(ir.GetWeights().Read(), pp1, pp1);
mfem::forall(nel_ho, [=] MFEM_HOST_DEVICE (int iel_ho)
{
for (int iy = 0; iy < pp1; ++iy)
{
for (int ix = 0; ix < pp1; ++ix)
{
const real_t mq = const_mq ? MQ(0,0,0) : MQ(ix, iy, iel_ho);
const real_t dq = const_dq ? DQ(0,0,0) : DQ(ix, iy, iel_ho);
for (int n_idx = 0; n_idx < 2; ++n_idx)
{
for (int e_i = 0; e_i < 2; ++e_i)
{
const int i_0 = (n_idx == 0) ? ix + e_i : ix;
const int j_0 = (n_idx == 1) ? iy + e_i : iy;
const bool bdr = (n_idx == 0 && (i_0 == 0 || i_0 == pp1)) ||
(n_idx == 1 && (j_0 == 0 || j_0 == pp1));
if (bdr) { continue; }
static constexpr int lex_map[] = {4, 2, 1, 3};
const int v_idx_lex = e_i + n_idx*2;
const int v_idx = lex_map[v_idx_lex];
const int w_idx = (n_idx == 0) ? iy : ix;
const int x_idx = (n_idx == 0) ? i_0 : j_0;
const real_t J1 = J(ix, iy, n_idx, !n_idx, iel_ho);
const real_t J2 = J(ix, iy, !n_idx, !n_idx, iel_ho);
const real_t Jh = (J1*J1 + J2*J2) / detJ(ix, iy, iel_ho);
V(v_idx, ix, iy, iel_ho) =
-dq * Jh * w_1d[w_idx] / (x_pp1[x_idx] - x_pp1[x_idx -1]);
}
}
V(0, ix, iy, iel_ho) = mq * detJ(ix, iy, iel_ho) * W(ix, iy);
for (int i = 1; i < nnz_per_row; ++i)
{
V(0, ix, iy, iel_ho) -= V(i, ix, iy, iel_ho);
}
}
}
});
}
template <int ORDER>
void BatchedLOR_DG::Assemble3D()
{
static constexpr int pp1 = ORDER + 1;
static constexpr int ndof_per_el = pp1*pp1*pp1;
static constexpr int nnz_per_row = 7;
const int nel_ho = fes_ho.GetNE();
// Get element geometric factors; calling before AssembleFaceTerms, since
// in AssembleFaceTerms, element Jacobian determinants are used, potentially
// saving recomputation.
const auto factors = GeometricFactors::DETERMINANTS |
GeometricFactors::JACOBIANS;
const auto geom = fes_ho.GetMesh()->GetGeometricFactors(ir, factors);
sparse_ij.SetSize(nnz_per_row*ndof_per_el*nel_ho);
sparse_ij.UseDevice(true);
sparse_ij = 0.0;
auto V = Reshape(sparse_ij.Write(), nnz_per_row, pp1, pp1, pp1, nel_ho);
AssembleFaceTerms();
// Populate Gauss-Lobatto quadrature rule of size (p+1)
IntegrationRule ir_pp1;
QuadratureFunctions1D::GaussLobatto(pp1, &ir_pp1);
Vector glx_pp1(pp1), glw_pp1(pp1);
for (int i = 0; i < pp1; ++i)
{
glx_pp1[i] = ir_pp1[i].x;
glw_pp1[i] = ir_pp1[i].weight;
}
const auto *x_pp1 = glx_pp1.Read();
const auto *w_1d = glw_pp1.Read();
const bool const_mq = c1.Size() == 1;
const auto MQ = const_mq
? Reshape(c1.Read(), 1, 1, 1, 1)
: Reshape(c1.Read(), pp1, pp1, pp1, nel_ho);
const bool const_dq = c2.Size() == 1;
const auto DQ = const_dq
? Reshape(c2.Read(), 1, 1, 1, 1)
: Reshape(c2.Read(), pp1, pp1, pp1, nel_ho);
const auto W = Reshape(ir.GetWeights().Read(), pp1, pp1, pp1);
const auto detJ = Reshape(geom->detJ.Read(), pp1, pp1, pp1, nel_ho);
const auto J = Reshape(geom->J.Read(), pp1, pp1, pp1, 3, 3, nel_ho);
mfem::forall(nel_ho, [=] MFEM_HOST_DEVICE (int iel_ho)
{
for (int iz = 0; iz < pp1; ++iz)
{
for (int iy = 0; iy < pp1; ++iy)
{
for (int ix = 0; ix < pp1; ++ix)
{
const real_t mq = const_mq ? MQ(0,0,0,0) : MQ(ix, iy, iz, iel_ho);
const real_t dq = const_dq ? DQ(0,0,0,0) : DQ(ix, iy, iz, iel_ho);
const real_t DETJ = detJ(ix, iy, iz, iel_ho);
for (int n_idx = 0; n_idx < 3; ++n_idx)
{
for (int e_i = 0; e_i < 2; ++e_i)
{
static constexpr int lex_map[] = {5,3,2,4,1,6};
const int v_idx_lex = e_i + n_idx*2;
const int v_idx = lex_map[v_idx_lex];
const int i_0 = (n_idx == 0) ? ix + e_i : ix;
const int j_0 = (n_idx == 1) ? iy + e_i : iy;
const int k_0 = (n_idx == 2) ? iz + e_i : iz;
const bool bdr =
(n_idx == 0 && (i_0 == 0 || i_0 == pp1)) ||
(n_idx == 1 && (j_0 == 0 || j_0 == pp1)) ||
(n_idx == 2 && (k_0 == 0 || k_0 == pp1));
if (bdr) { continue; }
int x_idx = (n_idx == 0) ? i_0 : (n_idx == 1) ? j_0 : k_0;
int w_idx_1 = (n_idx == 0) ? iy : (n_idx == 1) ? iz : ix;
int w_idx_2 = (n_idx == 0) ? iz : (n_idx == 1) ? ix : iy;
const real_t J00 = J(ix, iy, iz, 0, 0, iel_ho);
const real_t J01 = J(ix, iy, iz, 0, 1, iel_ho);
const real_t J02 = J(ix, iy, iz, 0, 2, iel_ho);
const real_t J10 = J(ix, iy, iz, 1, 0, iel_ho);
const real_t J11 = J(ix, iy, iz, 1, 1, iel_ho);
const real_t J12 = J(ix, iy, iz, 1, 2, iel_ho);
const real_t J20 = J(ix, iy, iz, 2, 0, iel_ho);
const real_t J21 = J(ix, iy, iz, 2, 1, iel_ho);
const real_t J22 = J(ix, iy, iz, 2, 2, iel_ho);
real_t JinvJinvT_diag = 0.0;
if (n_idx == 0)
{
JinvJinvT_diag = J02*J02*(J11*J11 + J21*J21) + (J12*J21 - J11*J22)*
(J12*J21 - J11*J22) - 2*J01*J02*(J11*J12 + J21*J22) + J01*J01*
(J12*J12 + J22*J22);
}
else if (n_idx == 1)
{
JinvJinvT_diag = J02*J02*(J10*J10 + J20*J20) + (J12*J20 - J10*J22)*
(J12*J20 - J10*J22) - 2*J00*J02*(J10*J12 + J20*J22) + J00*J00*
(J12*J12 + J22*J22);
}
else if (n_idx == 2)
{
JinvJinvT_diag = J01*J01*(J10*J10 + J20*J20) + (J11*J20 - J10*J21)*
(J11*J20 - J10*J21) - 2*J00*J01*(J10*J11 + J20*J21) + J00*J00*
(J11*J11 + J21*J21);
}
const real_t Jh = JinvJinvT_diag / DETJ;
V(v_idx, ix, iy, iz, iel_ho) = -dq * Jh * w_1d[w_idx_1] * w_1d[w_idx_2] /
(x_pp1[x_idx] - x_pp1[x_idx -1]);
}
}
V(0, ix, iy, iz, iel_ho) = mq * DETJ * W(ix, iy, iz);
for (int i = 1; i < 7; ++i)
{
V(0, ix, iy, iz, iel_ho) -= V(i, ix, iy, iz, iel_ho);
}
}
}
}
});
}
} // namespace mfem
+2
View File
@@ -184,6 +184,8 @@ void BatchedLOR_H1::Assemble2D()
template <int ORDER>
void BatchedLOR_H1::Assemble3D()
{
MFEM_PERF_FUNCTION;
const int nel_ho = fes_ho.GetNE();
static constexpr int nv = 8;
static constexpr int dim = 3;
+136 -58
View File
@@ -17,7 +17,10 @@ namespace mfem
MultigridBase::MultigridBase()
: cycleType(CycleType::VCYCLE), preSmoothingSteps(1), postSmoothingSteps(1),
nrhs(0)
{}
{
coarse_solver = nullptr;
own_coarse_solver = false;
}
MultigridBase::MultigridBase(const Array<Operator*>& operators_,
const Array<Solver*>& smoothers_,
@@ -29,12 +32,18 @@ MultigridBase::MultigridBase(const Array<Operator*>& operators_,
{
operators_.Copy(operators);
smoothers_.Copy(smoothers);
coarse_solver = nullptr;
ownedOperators_.Copy(ownedOperators);
ownedSmoothers_.Copy(ownedSmoothers);
own_coarse_solver = false;
}
MultigridBase::~MultigridBase()
{
if (own_coarse_solver)
{
delete coarse_solver;
}
for (int i = 0; i < operators.Size(); ++i)
{
if (ownedOperators[i])
@@ -56,16 +65,17 @@ void MultigridBase::InitVectors() const
X.SetSize(M, nrhs);
Y.SetSize(M, nrhs);
R.SetSize(M, nrhs);
Z.SetSize(M, nrhs);
for (int i = 0; i < X.NumRows(); ++i)
for (int i = 0; i < M; ++i)
{
const int n = operators[i]->Height();
for (int j = 0; j < X.NumCols(); ++j)
for (int j = 0; j < nrhs; ++j)
{
X(i, j) = new Vector(n);
Y(i, j) = new Vector(n);
if (i < M - 1)
{
X(i, j) = new Vector(n);
Y(i, j) = new Vector(n);
}
R(i, j) = new Vector(n);
Z(i, j) = new Vector(n);
}
}
}
@@ -76,10 +86,12 @@ void MultigridBase::EraseVectors() const
{
for (int j = 0; j < X.NumCols(); ++j)
{
delete X(i, j);
delete Y(i, j);
if (i < X.NumRows() - 1)
{
delete X(i, j);
delete Y(i, j);
}
delete R(i, j);
delete Z(i, j);
}
}
}
@@ -95,6 +107,12 @@ void MultigridBase::AddLevel(Operator* op, Solver* smoother,
ownedSmoothers.Append(ownSmoother);
}
void MultigridBase::AddCoarseSolver(Solver *c_solver, bool own_c_solver)
{
coarse_solver = c_solver;
own_coarse_solver = own_c_solver;
}
void MultigridBase::SetCycleType(CycleType cycleType_, int preSmoothingSteps_,
int postSmoothingSteps_)
{
@@ -105,10 +123,12 @@ void MultigridBase::SetCycleType(CycleType cycleType_, int preSmoothingSteps_,
void MultigridBase::Mult(const Vector& x, Vector& y) const
{
Array<const Vector*> X_(1);
Array<Vector*> Y_(1);
X_[0] = &x;
Y_[0] = &y;
const Vector *x_array[1] = { &x };
Array<const Vector*> X_(x_array, 1); // no heap allocation
Vector *y_array[1] = { &y };
Array<Vector*> Y_(y_array, 1); // no heap allocation
ArrayMult(X_, Y_);
}
@@ -119,11 +139,6 @@ void MultigridBase::ArrayMult(const Array<const Vector*>& X_,
"Multigrid solver does not have operators set!");
MFEM_ASSERT(X_.Size() == Y_.Size(),
"Number of columns mismatch in MultigridBase::Mult!");
if (iterative_mode)
{
MFEM_WARNING("Multigrid solver does not use iterative_mode and ignores "
"the initial guess!");
}
// Add capacity as necessary
nrhs = X_.Size();
@@ -134,96 +149,159 @@ void MultigridBase::ArrayMult(const Array<const Vector*>& X_,
for (int j = 0; j < nrhs; ++j)
{
MFEM_ASSERT(X_[j] && Y_[j], "Missing Vector in MultigridBase::Mult!");
*X(M - 1, j) = *X_[j];
*Y(M - 1, j) = 0.0;
}
Cycle(M - 1);
for (int j = 0; j < nrhs; ++j)
{
*Y_[j] = *Y(M - 1, j);
X(M - 1, j) = const_cast<Vector*>(X_[j]);
Y(M - 1, j) = Y_[j];
}
const bool zero = !iterative_mode;
Cycle(M - 1, zero);
}
void MultigridBase::SmoothingStep(int level, bool zero, bool transpose) const
{
// y = y + S (x - A y) or y = y + S^T (x - A y)
// Note: 'zero' == true means that Y(level,*) are not initialized and we
// should assume that the input they typically provide to this call is zeros.
// We can't use the smoothers' iterative mode since we don't know if they
// actually support it, so we always turn the iterative mode off to properly
// use smoothers that do support it.
smoothers[level]->iterative_mode = false;
if (zero)
{
Array<Vector *> X_(X[level], nrhs), Y_(Y[level], nrhs);
GetSmootherAtLevel(level)->ArrayMult(X_, Y_);
MFEM_ASSERT(!transpose, "internal error!");
const Array<const Vector *> cX_((const Vector **)(X[level]), nrhs);
Array<Vector *> Y_(Y[level], nrhs);
GetSmootherAtLevel(level)->ArrayMult(cX_, Y_);
}
else
{
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs),
Z_(Z[level], nrhs);
const Array<const Vector *> cY_((const Vector **)(Y[level]), nrhs),
cR_((const Vector **)(R[level]), nrhs);
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs);
GetOperatorAtLevel(level)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
*R_[j] = *X(level, j);
// *R_[j] = *X(level, j) - *R_[j]
subtract(*X(level, j), *R_[j], *R_[j]);
}
GetOperatorAtLevel(level)->ArrayAddMult(Y_, R_, -1.0);
if (transpose)
{
GetSmootherAtLevel(level)->ArrayMultTranspose(R_, Z_);
GetSmootherAtLevel(level)->ArrayAddMultTranspose(cR_, Y_);
}
else
{
GetSmootherAtLevel(level)->ArrayMult(R_, Z_);
}
for (int j = 0; j < nrhs; ++j)
{
*Y_[j] += *Z_[j];
GetSmootherAtLevel(level)->ArrayAddMult(cR_, Y_);
}
}
}
void MultigridBase::Cycle(int level) const
void MultigridBase::CoarseSolve(bool zero) const
{
// Coarse solve
if (level == 0)
// See the comment about iterative mode in SmoothingStep()
coarse_solver->iterative_mode = false;
if (zero)
{
SmoothingStep(0, true, false);
const Array<const Vector *> cX_((const Vector **)(X[0]), nrhs);
Array<Vector *> Y_(Y[0], nrhs);
coarse_solver->ArrayMult(cX_, Y_);
}
else
{
const Array<const Vector *> cY_((const Vector **)(Y[0]), nrhs),
cR_((const Vector **)(R[0]), nrhs);
Array<Vector *> Y_(Y[0], nrhs), R_(R[0], nrhs);
GetOperatorAtLevel(0)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
// *R_[j] = *X(0, j) - *R_[j]
subtract(*X(0, j), *R_[j], *R_[j]);
}
coarse_solver->ArrayAddMult(cR_, Y_);
}
}
void MultigridBase::Cycle(int level, bool zero) const
{
// Note: 'zero' == true means that Y(level,*) are not initialized and we
// should assume that the input they typically provide to this call is zeros.
// Coarse solve
if (level == 0 && !coarse_solver)
{
SmoothingStep(0, zero, false);
return;
}
// Pre-smooth
for (int i = 0; i < preSmoothingSteps; ++i)
{
SmoothingStep(level, (cycleType == CycleType::VCYCLE && i == 0), false);
SmoothingStep(level, zero && (i == 0), false);
}
// Coarse solve with 'coarse_solver'
if (level == 0)
{
CoarseSolve(preSmoothingSteps == 0 && zero);
goto mg_post_smooth;
}
// Compute residual and restrict
if (preSmoothingSteps == 0 && zero)
{
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs),
X_(X[level - 1], nrhs);
const Array<const Vector *> cX_l((const Vector **)(X[level]), nrhs);
Array<Vector *> X_lm1(X[level - 1], nrhs);
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(cX_l, X_lm1);
}
else
{
const Array<const Vector *> cY_((const Vector **)(Y[level]), nrhs),
cR_((const Vector **)(R[level]), nrhs);
Array<Vector *> R_(R[level], nrhs), X_(X[level - 1], nrhs);
GetOperatorAtLevel(level)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
*R_[j] = *X(level, j);
}
GetOperatorAtLevel(level)->ArrayAddMult(Y_, R_, -1.0);
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(R_, X_);
for (int j = 0; j < nrhs; ++j)
{
*Y(level - 1, j) = 0.0;
// *R_[j] = *X(level, j) - *R_[j]
subtract(*X(level, j), *R_[j], *R_[j]);
}
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(cR_, X_);
}
// Corrections
Cycle(level - 1);
Cycle(level - 1, true);
if (cycleType == CycleType::WCYCLE)
{
Cycle(level - 1);
// If the coarse solve at level 0 is "exact" solve, then we don't want to
// repeat it.
// To support multiple level 0 coarse-grid corrections, one can wrap that
// smoother in an SLI solver and use that instead.
if (level > 1) { Cycle(level - 1, false); }
}
// Prolongate and add
{
Array<Vector *> Y_(Y[level - 1], nrhs), Z_(Z[level], nrhs);
GetProlongationAtLevel(level - 1)->ArrayMult(Y_, Z_);
for (int j = 0; j < nrhs; ++j)
const Array<const Vector *> cY_lm1((const Vector **)(Y[level - 1]), nrhs);
Array<Vector *> Y_l(Y[level], nrhs);
if (preSmoothingSteps == 0 && zero)
{
*Y(level, j) += *Z_[j];
GetProlongationAtLevel(level - 1)->ArrayMult(cY_lm1, Y_l);
}
else
{
GetProlongationAtLevel(level - 1)->ArrayAddMult(cY_lm1, Y_l);
}
}
mg_post_smooth:
// Post-smooth
for (int i = 0; i < postSmoothingSteps; ++i)
{

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