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Author SHA1 Message Date
Will Pazner 552d6857cb Add GPU scan support for Array<T>::PartialSum 2025-10-21 09:57:37 -07:00
Will Pazner a37d46e917 Fix comments in scan.hpp 2025-10-21 09:57:37 -07:00
Will Pazner 4acdb072b6 Add more device support to Array<T> 2025-10-21 09:57:37 -07:00
Will Pazner 9dbb184537 Remove need to explicitly pass workspace array to reducers 2025-10-21 09:57:37 -07:00
Will Pazner d67762a1c9 Move contents of array.cpp to array.hpp
Remove explicit template instantiations
2025-10-20 15:38:54 -07:00
Tzanio Kolev cd4e583f9f Merge pull request #4659 from mfem/najlkin/parform-impro
Improvements of Par(Mixed)BilinearForm and Par(Block)NonlinearForm
2025-10-18 10:48:44 -07:00
Tzanio Kolev ee94776558 Merge pull request #5066 from mfem/najlkin/fix-nc-blknlform
[BUG] Non-conforming meshes in BlockNonlinearForm
2025-10-18 10:48:25 -07:00
Tzanio Kolev f9be12c539 Merge pull request #5060 from mfem/hypre-cmake
Remove hypre+umpire check in CMake
2025-10-15 16:13:01 -07:00
Tzanio Kolev af478afd00 Merge branch 'master' into najlkin/fix-nc-blknlform 2025-10-15 16:11:05 -07:00
Tzanio Kolev 519e86f134 Merge pull request #5069 from mfem/stale-action-update
Fix duplicated job name in Stale action
2025-10-14 15:47:35 -07:00
Mittal, Ketan f2578fd479 change action name 2025-10-14 09:01:53 -07:00
Tzanio Kolev 563cd25971 Merge pull request #5016 from mfem/stale-action-update
Stale action for PRs in-review
2025-10-12 17:03:19 -07:00
Tzanio Kolev 875c62ca1f Merge pull request #5047 from mfem/fix-magma-inverse
fix magma's Invert
2025-10-12 17:02:42 -07:00
Tzanio Kolev 731b0b7049 Merge pull request #5053 from mfem/mfem-mesh
MFEM mesh
2025-10-12 17:00:40 -07:00
Tzanio Kolev 3c77ad25e9 Merge pull request #4524 from adam-sim-dev/cusparseXcsrsort
Use cusparseXcsrsort instead of the deprecated cusparseXcsru2csr
2025-10-12 16:58:01 -07:00
Jan Nikl e13d1a1d53 Fixed support of non-conforming meshes in BlockNonlinearForm. 2025-10-10 13:32:53 -07:00
Victor A. P. Magri 09e73b5cee Remove check 2025-10-09 17:11:13 -04:00
Victor A. P. Magri 464b441409 Remove check 2025-10-09 17:10:09 -04:00
Andrew Ho 8ae9b217f9 Use CUDA_DIR instead of CUDA_HOME 2025-10-09 13:51:57 -07:00
Victor A. P. Magri 3f0a5ad501 Add check for HYPRE_USING_UMPIRE 2025-10-09 12:49:42 -04:00
Ketan Mittal dfb697b9ae Merge branch 'master' into stale-action-update 2025-10-07 17:15:22 -07:00
Will PaznerandAndrew Ho cf01c6cc8b Add -isystem to NVCC_FLAGS
This will silence compiler warnings that are internal to CUDA headers

Co-authored-by: Andrew Ho <ho37@llnl.gov>
2025-10-07 16:21:27 -07:00
Will Pazner e4dc9a3941 Small change to indentation style 2025-10-07 16:20:06 -07:00
Andrew Ho 6a104e94e1 Merge branch 'master' into cusparseXcsrsort 2025-10-07 15:00:06 -07:00
Tzanio Kolev bf1b25d82e Merge pull request #4567 from mfem/lorentz-pm-dev
Lorentz miniapp [lorentz-pm-dev]
2025-10-07 13:22:38 -07:00
Jan Nikl b7a0b2cf9a Renamed ParallelAssembleInternal(Matrix) and added more documentation. 2025-10-07 12:28:31 -07:00
Will Pazner 9a8f0ad0ef Merge pull request #5048 from farscape-project/checkopen
Add ClosedGL to Quadrature1D::CheckOpen and remove redundant conditions
2025-10-07 11:57:06 -07:00
Will Pazner ee2c069531 Merge pull request #5015 from mfem/bugfix/watts24/int-overflow-reading-large-VTU-mesh
Avoid int overflow for large VTU meshes
2025-10-07 11:32:37 -07:00
nbeams 27a60a4ca3 Change name of output variable in batched inverse unit test 2025-10-06 22:20:10 +00:00
nbeams b1d5104fed Add unit test for batched matrix inverse 2025-10-06 21:50:54 +00:00
Tzanio Kolev 26eecf7575 Merge branch 'master' into cusparseXcsrsort 2025-10-05 13:32:37 -07:00
Tzanio Kolev 9c26ef5401 Merge branch 'master' into lorentz-pm-dev 2025-10-05 13:27:39 -07:00
Tzanio Kolev bce6e2ca76 Merge branch 'master' into najlkin/parform-impro 2025-10-05 13:25:11 -07:00
Tzanio Kolev 26f8f0e955 Merge branch 'master' into fix-magma-inverse 2025-10-05 13:20:43 -07:00
Tzanio Kolev dfc2dfeb52 Merge pull request #4975 from mfem/hypre-3
Add support to hypre-3.0
2025-10-02 11:14:03 -07:00
Tzanio Kolev 7173477670 Merge pull request #5013 from mfem/fix-miniapps-common-clang-cuda
Fix the `miniapps/common` build when using clang + CUDA
2025-10-02 11:13:30 -07:00
Mittal, Ketan 30249a4857 minor 2025-10-01 14:37:32 -07:00
Mittal, Ketan 8a9bdf863a minor 2025-10-01 14:34:29 -07:00
Mittal, Ketan b72368c698 add mesh and modify distance miniapp to use the new mesh 2025-10-01 14:30:22 -07:00
adam-sim-dev e6224e00aa Merge branch 'master' into cusparseXcsrsort 2025-09-30 10:09:49 +08:00
adam-sim-dev 7b82f7b8e0 Merge branch 'master' into hypre-3 2025-09-30 10:03:05 +08:00
Nuno Nobre 582ffe8b66 Add ClosedGL to Quadrature1D::CheckOpen and remove redundant conditions 2025-09-29 17:23:47 +01:00
Tom Stitt aa5b2d4b95 wrong arg 2025-09-29 09:04:33 -07:00
Tzanio Kolev 23616a21f0 Merge pull request #4999 from mfem/feat/blknonlin_esstdof
Add `SetEssentialTrueDofs` to `(Par)BlockNonlinearForm`
2025-09-29 08:07:08 -07:00
Tzanio Kolev df9cc72e58 Merge pull request #5036 from BarrySmith/barry/update-for-petscapi
Update to change in PETSc API (in v3.24)  for MatShellSetOperation()
2025-09-29 08:06:39 -07:00
Tzanio Kolev 15740fcbd3 Merge branch 'master' into hypre-3 2025-09-28 18:26:28 -07:00
Victor A. P. Magri 862c539276 Fix header files inclusion 2025-09-28 19:38:44 -04:00
Tzanio Kolev 7ff759a7ee Merge pull request #4834 from mfem/lor_dg_preconditioner
GPU Assembly of LOR DG Preconditioner
2025-09-27 15:42:50 -07:00
Tzanio Kolev d220a2975c Merge branch 'master' into feat/blknonlin_esstdof 2025-09-27 15:29:32 -07:00
Tzanio Kolev cdde0046ef Merge branch 'master' into fix-miniapps-common-clang-cuda 2025-09-27 15:25:57 -07:00
Sohail Reddy 9f36ae566c fixed style 2025-09-26 17:09:35 -07:00
Victor A. P. Magri 4465fcbd46 Remove debugging call 2025-09-26 12:34:18 -04:00
Victor A. P. Magri 807b13b236 Fix release tag 2025-09-26 12:34:18 -04:00
Victor A. P. Magri 70f4468f0b Remove old header files inclusion 2025-09-26 12:34:18 -04:00
Victor A. P. Magri 5db2e7b347 HYPRE_VERSION fix 2025-09-26 12:34:18 -04:00
Victor A. P. Magri c1df332094 Update hypre's cmake module with Umpire logic 2025-09-26 12:34:18 -04:00
Victor A. P. Magri 75b115cf93 Silence deprecation error involving HYPRE_AssumedPartitionCheck 2025-09-26 12:34:18 -04:00
Victor A. P. Magri 59579f2cdb Fix build with upcoming hypre-3.0 2025-09-26 12:34:18 -04:00
John Camier c0d2821d3e Merge branch 'master' into lor_dg_preconditioner 2025-09-25 15:58:44 -07:00
Tzanio Kolev 082e25ffe8 Merge pull request #4561 from helloworld922/cmake_improvements
CMake improvements
2025-09-25 10:30:26 -07:00
Stowell, Mark L. 7d343e56a5 Switching to +/-infinity() for initial bounds 2025-09-25 10:06:02 -07:00
adam-sim-dev 1eb3d185d5 Merge branch 'master' into cusparseXcsrsort 2025-09-25 09:06:24 +08:00
Dohyun Kim a2fd029daa non-null instead of NULL or nullptr 2025-09-24 15:01:15 -04:00
Dohyun Kim b48b990ac8 "NOT" null! 2025-09-24 14:49:47 -04:00
Dohyun Kim 80c69e9856 style 2025-09-24 14:27:40 -04:00
Anthony dbdee73113 Merge branch 'master' into lor_dg_preconditioner 2025-09-24 18:18:16 +00:00
AnthonyandJohn Camier 7a8a1976a2 Update tests/unit/linalg/test_same_matrices.hpp
Co-authored-by: John Camier <camierjs@gmail.com>
2025-09-24 18:10:44 +00:00
AnthonyandJohn Camier 6911ed0a8a Update tests/unit/fem/test_lor_dg.cpp
Co-authored-by: John Camier <camierjs@gmail.com>
2025-09-24 18:10:31 +00:00
AnthonyandJohn Camier 986e2c04d2 Update tests/unit/fem/test_lor_dg.cpp
Co-authored-by: John Camier <camierjs@gmail.com>
2025-09-24 18:10:21 +00:00
AnthonyandJohn Camier 9db5388362 Update fem/lor/lor_dg_impl.hpp
Co-authored-by: John Camier <camierjs@gmail.com>
2025-09-24 18:10:06 +00:00
Stowell, Mark L. dbf987fb73 Updating doxygen file 2025-09-24 10:57:11 -07:00
Stowell, Mark L. c4a6d855eb Updating CHANGELOG 2025-09-24 10:44:27 -07:00
Dohyun Kim 80c2ee6fed documentation 2025-09-23 22:36:22 -04:00
Tzanio Kolev 68aa9af7c2 Merge pull request #5028 from mfem/indent-off-fix
Added a missing INDENT-ON
2025-09-23 18:47:40 -07:00
Stowell, Mark L. 19fa34eabe Adding data file to gitignore 2025-09-23 16:23:21 -07:00
Tzanio Kolev 359ba5983b Merge branch 'master' into indent-off-fix 2025-09-23 15:48:56 -07:00
Tzanio Kolev 947f2f215a Make style 2025-09-23 14:46:07 -07:00
Veselin Dobrev 52ced84b8c Merge pull request #4931 from mfem/kernel-spec
Kernel Specializations
2025-09-23 14:36:11 -07:00
Veselin Dobrev 6430c45f52 Merge pull request #4609 from mfem/jeremy/ceed-fix
libCEED v1.0 preparation
2025-09-23 14:30:47 -07:00
Tzanio Kolev 6d3c7dfc88 Added a missing INDENT-ON 2025-09-23 14:30:35 -07:00
Stowell, Mark L. 0e2d49799c Updating copyright 2025-09-23 14:18:15 -07:00
Stowell, Mark L. 562b980e7d Merge remote-tracking branch 'origin/master' into lorentz-pm-dev
# Conflicts:
#	.gitignore
2025-09-23 14:14:43 -07:00
Will Pazner 388b7b61b2 Merge pull request #4945 from mfem/grad-eval-device
Add new method: `GridFunction::GetGradients` with support for GPUs
2025-09-23 11:31:34 -07:00
Stowell, Mark L. 2adb4576d3 Sample runs on single lines 2025-09-23 09:15:19 -07:00
Stowell, Mark L. 9f2490cd95 Build trajectory mesh in a function 2025-09-23 09:14:30 -07:00
Barry Smith 4126d32772 Update to change in PETSc API for MatShellSetOperation() 2025-09-22 11:24:29 -04:00
Andrew HoandJohn Camier 080780f047 Update CMakeLists.txt
Co-authored-by: John Camier <camierjs@gmail.com>
2025-09-21 22:37:18 -07:00
camierjs ca2ee9ab05 Merge branch 'master' into lor_dg_preconditioner 2025-09-21 20:15:26 -07:00
John Camier 0d87692863 Merge branch 'master' into cmake_improvements 2025-09-21 20:14:01 -07:00
John Camier 450628554c Merge branch 'master' into kernel-spec 2025-09-21 20:13:38 -07:00
adam-sim-dev 7bc231eb85 Merge branch 'master' into cusparseXcsrsort 2025-09-22 10:31:53 +08:00
Tzanio Kolev 6de39a2637 Merge pull request #3807 from mfem/nurbs-nc
Nonconforming NURBS patches
2025-09-21 15:51:51 -07:00
Tzanio Kolev c4a19c8df0 Merge pull request #4938 from mfem/lininteg-spec
Change more integrators to use kernel dispatch
2025-09-21 15:50:42 -07:00
Tzanio Kolev 280e98b510 Merge pull request #5002 from farscape-project/metis
Fix fetched METIS builds w/ gcc 14+
2025-09-21 15:50:20 -07:00
John Camier 9794243c8b Merge branch 'master' into cmake_improvements 2025-09-21 10:35:54 -07:00
John Camier 333726ce51 Merge branch 'master' into kernel-spec 2025-09-21 10:26:59 -07:00
John Camier d14d286842 Merge branch 'master' into lininteg-spec 2025-09-21 10:26:50 -07:00
John Camier ea3bed0a91 Merge branch 'master' into lor_dg_preconditioner 2025-09-19 07:41:30 -07:00
Toni-ko 877937b8ae resolve conflict 2025-09-18 10:42:35 -07:00
Will Pazner 1e2b33e21c Merge remote-tracking branch 'origin/master' into grad-eval-device
# Conflicts:
#	tests/unit/CMakeLists.txt
2025-09-17 21:35:40 -04:00
Will Pazner f65311b8a0 Merge pull request #5006 from mfem/fix-magma-addmult
Fix transpose op selection in magma addmult
2025-09-17 21:32:11 -04:00
Will Pazner 1254e8782e Merge pull request #4801 from tepperly/improve-mma-doxygen-comments
Format the comments for better doxygen rendering and add more details
2025-09-17 21:30:49 -04:00
Andrew Ho b50d546dac Merge branch 'master' into cmake_improvements 2025-09-17 10:49:22 -07:00
Mittal, Ketan fd01ef188f Merge branch 'stale-action-update' of https://github.com/mfem/mfem into stale-action-update 2025-09-17 10:14:48 -07:00
Mittal, Ketan f2a29326c0 Merge branch 'master' of https://github.com/mfem/mfem into stale-action-update 2025-09-17 10:14:35 -07:00
Mittal, Ketan 1f4a40d9a0 stale action for wip PRs 2025-09-17 10:14:26 -07:00
Dylan Copeland db003bdf86 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-09-17 09:47:43 -07:00
Andrew Ho 8f8e5712ad Merge branch 'master' into lininteg-spec 2025-09-17 07:54:30 -07:00
Tzanio Kolev e671fa5737 Merge branch 'master' into stale-action-update 2025-09-17 03:32:29 -07:00
Tzanio Kolev 40d1550fd6 Merge branch 'master' into najlkin/parform-impro 2025-09-17 03:31:41 -07:00
Tzanio Kolev ae33f831eb Merge branch 'master' into cusparseXcsrsort 2025-09-17 03:28:05 -07:00
Tzanio Kolev 2139999a06 Merge pull request #4958 from mfem/pwconst-coeff-gpu
Add GPU support for PWConstCoefficient
2025-09-17 03:00:04 -07:00
Tzanio Kolev df7f786c7f Merge pull request #4947 from mfem/qfspace-device
Trace assembly optimizations
2025-09-17 02:59:28 -07:00
Veselin Dobrev 79859679fd Merge pull request #5020 from mfem/tmop-ad-mu55-fix
Github CI fix for metric 55
2025-09-16 17:50:16 -07:00
Jan Nikl 193f8a6801 Partially reverted const modifiers in HypreParMatrix::Copy(Bool)CSR(). 2025-09-16 16:19:03 -07:00
Jan Nikl 110720dd04 Fixed documentation of Par(Mixed)BilinearForm::KeepNbrBlock(). 2025-09-16 15:39:35 -07:00
Jan Nikl 3fd335c77b Fixed usage of EliminateVDofsInRHS(). 2025-09-16 15:36:04 -07:00
Tzanio Kolev c0a133fe2c Merge branch 'master' into fix-magma-addmult 2025-09-16 12:30:13 -07:00
Tzanio Kolev 1ffb08db61 Merge branch 'master' into improve-mma-doxygen-comments 2025-09-16 12:30:10 -07:00
Mittal, Ketan 3c0a73479a fix mu55 2025-09-16 09:36:08 -07:00
Ketan Mittal 90e1f08bc7 Merge branch 'master' into stale-action-update 2025-09-15 17:14:09 -07:00
Tzanio Kolev eec906c43d Merge pull request #4836 from mfem/tmop-ad-wcuo
AD for TMOP_WorstCaseUntangleOptimizer_Metric
2025-09-14 20:04:12 -07:00
Tzanio Kolev ea8d19ccf1 Merge pull request #4907 from mfem/najlkin/fix-hyperbolic-bdr
Boundary integration in the hyperbolic framework
2025-09-14 20:03:10 -07:00
Tzanio Kolev def68ccace Merge branch 'master' into najlkin/fix-hyperbolic-bdr 2025-09-14 20:02:54 -07:00
Jan Nikl 3962449ece Updated CHANGELOG. 2025-09-12 22:34:15 -07:00
Mittal, Ketan 37d004206a minor 2025-09-12 11:09:22 -07:00
Mittal, Ketan e1d9b7cfff stale in-review prs 2025-09-12 11:05:00 -07:00
Seth Watts d1c44a7369 Switch my uLongf to size_t since they do not touch zlib 2025-09-12 07:05:04 -07:00
Seth Watts 2c39547bdd Change ints to uLongf (unsigned long) in places where large meshes cause overflow 2025-09-11 17:43:42 -07:00
Veselin Dobrev db66a4423f Export XLINKER as MFEM_XLINKER to config.mk and use that value
instead of reconstructing its value by importing defaults.mk.
2025-09-09 22:47:17 -07:00
Will Pazner 8425377bd1 Rename MFEM_REAL_T to MFEM_CUDA_or_HIP_REAL_T 2025-09-09 16:47:35 -07:00
Veselin Dobrev ea76f8d477 Fix the miniapps/common build when using clang + CUDA 2025-09-09 10:21:55 -07:00
adam-sim-dev 992c5dfc4c Merge branch 'master' into cusparseXcsrsort 2025-09-09 09:28:10 +08:00
Andrew Ho e6826dda5a Merge branch 'master' into qfspace-device 2025-09-08 12:53:41 -07:00
Andrew Ho c4c14822ba Merge remote-tracking branch 'base/qfspace-device' into qfspace-device 2025-09-08 12:53:16 -07:00
Andrew Ho 8f21f70baf added a work-around for std::inclusive/exclusive_scan not present in some c++17 implementations
Also fixed hip builds for scan
2025-09-08 12:51:40 -07:00
Andrew Ho f0027c2ccd Merge branch 'master' into kernel-spec 2025-09-08 12:09:05 -07:00
Andrew Ho 142b1ec60a better fix is to not do abort in else case 2025-09-08 12:08:14 -07:00
Andrew Ho 77f1682547 work-around for compiler warning bug 2025-09-08 12:05:38 -07:00
Tzanio Kolev 0c4c006ef8 Merge pull request #4968 from mfem/najlkin/fix-rt-clone
[BUG] Fixed cloning of RT trace and DG interface FE collections
2025-09-06 12:42:55 -07:00
Tzanio Kolev dd2c68fc72 Merge pull request #4906 from mfem/hex-ref-check
Anisotropic hexahedral refinement without conflicts
2025-09-06 12:42:17 -07:00
Dylan Copeland 6dc6a38ed8 CHANGELOG 2025-09-05 14:50:40 -07:00
Tzanio Kolev 95b3915b52 Merge branch 'master' into tmop-ad-wcuo 2025-09-05 13:35:22 -07:00
Tzanio KolevandTom Epperly bebd0ff8ff Apply suggestion from @tepperly
Co-authored-by: Tom Epperly <epperly2@llnl.gov>
2025-09-05 13:27:23 -07:00
Tzanio Kolev c851e2ec1e Merge branch 'master' into hex-ref-check 2025-09-05 13:01:39 -07:00
Tzanio Kolev 3463dcec04 Merge branch 'master' into qfspace-device 2025-09-05 13:01:35 -07:00
Tzanio Kolev 6ccb7dea8a Merge branch 'master' into nurbs-nc 2025-09-05 13:01:23 -07:00
Tzanio Kolev bf82f4ce39 Merge pull request #4950 from mfem/dfem-lvector-interface
dFEM L-Vector interface
2025-09-05 13:00:15 -07:00
Tzanio Kolev 4fdb3621f5 Merge pull request #4819 from mfem/findpts-interface
Improved FindPointsGSLIB interface
2025-09-05 12:58:35 -07:00
Tzanio Kolev 6e575c4e1f Merge pull request #4980 from mfem/fdpts-improve-dev
Minor improvements to `FindPointsGSLIB`
2025-09-05 12:57:29 -07:00
Tzanio Kolev 79d1f22ebb Merge pull request #4985 from mfem/mem-manager-debug-tweak
Memory manager: debug-mode tweak
2025-09-05 12:56:54 -07:00
Jan Nikl 3207b8b012 Fixed inheritance of AssembleRHSElementVect in BoundaryHyperbolicFlowIntegrator. 2025-09-05 10:18:04 -07:00
Veselin Dobrev cd377f5201 Merge pull request #4937 from mfem/fec-new-fix
bugfix for 4935
2025-09-04 12:19:26 -07:00
Tom Stitt 4f35f73c69 fix tranpose selection 2025-09-03 18:58:39 -07:00
Nuno Nobre 97ac0c3a3e Fix fetched METIS builds w/ gcc 14+ 2025-09-03 13:02:44 +01:00
Andrew Ho 8af7877b68 Merge branch 'qfspace-device' into pwconst-coeff-gpu 2025-09-02 16:15:03 -07:00
John Camier 6cdc6cd026 Merge branch 'master' into lininteg-spec 2025-09-02 15:04:32 -07:00
John Camier 13dc17123d Merge branch 'master' into kernel-spec 2025-09-02 15:00:57 -07:00
Jan Nikl 95327ad4c3 Removed scalar coefficient from BdrHyperbolicDirichletIntegrator. 2025-09-01 14:30:36 -07:00
Jan Nikl a186b57213 Added upwinding to BoundaryHyperbolicLFIntegrator and renamed it to BoundaryHyperbolicFlowIntegrator. 2025-09-01 14:17:08 -07:00
Jan Nikl 0c4d26917b Removed scalar coefficient option from BoundaryHyperbolicLFIntegrator. 2025-09-01 13:20:09 -07:00
Andrew Ho fdc9d7f80e Merge branch 'master' into pwconst-coeff-gpu 2025-08-31 18:06:43 -07:00
adam-sim-dev ec94332c2a Merge branch 'master' into cusparseXcsrsort 2025-09-01 07:35:11 +08:00
Tzanio Kolev 21dc66a447 Merge branch 'master' into najlkin/fix-hyperbolic-bdr 2025-08-31 15:42:09 -07:00
Tzanio Kolev c4c67b141a Merge branch 'master' into qfspace-device 2025-08-31 15:34:48 -07:00
Veselin Dobrev c6329b292e Fix "Specialization<...>::Add()" issue with shared MSVC builds.
Fix some warnings from MSVC.
2025-08-31 09:48:16 -07:00
Tzanio Kolev 5d4bf08ccf Merge branch 'master' into findpts-interface 2025-08-30 18:38:08 -07:00
Tzanio Kolev 0196b7df4a Merge branch 'master' into mem-manager-debug-tweak 2025-08-30 18:31:56 -07:00
Dohyun Kim 5e75bd0837 Merge branch 'master' into feat/blknonlin_esstdof 2025-08-30 07:27:00 +09:00
Dohyun Kim 5f889293c2 style 2025-08-29 18:02:44 -04:00
Dohyun Kim afc5aa96dc GetGradient() returns BlockOperator 2025-08-29 18:00:16 -04:00
Tom Epperly 9b1d29a762 Merge branch 'improve-mma-doxygen-comments' of github.com:tepperly/mfem into improve-mma-doxygen-comments 2025-08-29 14:47:34 -07:00
Tom Epperly b4120d81e4 * Edit comments to avoid lines longer than 80 columns.
* Replace with returns with retains which is what I meant in the first place.
2025-08-29 14:45:36 -07:00
Dohyun Kim 9125bf8291 add SetEssentialTrueDofs 2025-08-29 17:32:48 -04:00
Veselin Dobrev 9d285278f9 In test_col_lag_der.cpp, include mfem.hpp before other headers like
catch.hpp, so that we get the math macros like M_PI under MSVC.
2025-08-29 11:58:49 -07:00
Dylan Copeland b435fbeae6 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-08-29 10:58:34 -07:00
Dylan Copeland b593405fda Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-08-29 10:56:55 -07:00
Veselin Dobrev 5c356a3e2b Merge branch 'master' into grad-eval-device 2025-08-29 08:20:59 -07:00
Veselin Dobrev 2d57401575 Enzyme/LLVM fixes in GitHub CI (#4997)
* Update GitHub CI to handle Enzyme/LLVM changes in Homebrew.

* GitHub CI: try to allow the Enzyme job to fail

* GitHub CI: fix a typo in last commit

* GitHub CI: another try to allow the Enzyme job to fail.

* GitHub CI: another try to allow the Enzyme job to fail.

* GitHub CI: another try to allow the Enzyme job to fail.

* GitHub CI: another try to allow the Enzyme job to fail.

* GitHub CI: try without fail-fast == false.

* GitHub CI: try to fix the LLVM link issue in the Enzyme job.
2025-08-29 08:16:41 -07:00
Veselin Dobrev 9e764dc809 Address reviewer feedback 2025-08-29 03:29:57 -07:00
Veselin Dobrev b7bddf91bc Merge branch 'master' into grad-eval-device 2025-08-28 04:13:05 -07:00
Veselin Dobrev bdbd234c56 Add unit tests for GridFunction::GetGradients.
Update the CMake file for the unit tests.

Update CHANGELOG.
2025-08-28 04:10:32 -07:00
Jan Nikl 513fbe0a28 Added docstring about interior interface usage. 2025-08-27 18:53:20 -07:00
Jan Nikl d4a5f69b52 Minor comment fixes. 2025-08-27 18:47:02 -07:00
Jan Nikl 770aa5bf52 Renamed BdrHyperbolicFormIntegrator to BdrHyperbolicDirichletIntegrator. 2025-08-27 18:35:42 -07:00
Jan Nikl cc2739ef78 make style 2025-08-27 15:41:37 -07:00
Jan NiklandChris Vogl 9351fb1550 Applied suggestions from Chris
Co-authored-by: Chris Vogl <vogl2@llnl.gov>
2025-08-28 11:31:55 -07:00
Vladimir Tomov d6d94117f8 Add null check before freeing finder data
Could segfault with an empty object.
2025-08-27 10:58:12 -07:00
Andrew Ho a7ad5add62 Merge branch 'master' into qfspace-device 2025-08-26 14:41:51 -07:00
Veselin Dobrev a26ef22a49 Merge branch 'master' into jeremy/ceed-fix 2025-08-26 12:21:59 -07:00
Veselin Dobrev 7f788e83b9 Merge pull request #4926 from mfem/dev/docs-add
Add description to GetElementTransformation
2025-08-26 12:16:19 -07:00
John Camier c7b9cc6354 Merge branch 'master' into mem-manager-debug-tweak 2025-08-25 08:54:31 -07:00
Joseph Signorelli 68bf2adbe4 int --> unsigned int, and rm std::move 2025-08-21 15:55:23 -07:00
Andrew Ho 1f89bfa040 Merge branch 'master' into cmake_improvements 2025-08-21 14:40:29 -07:00
Dylan Copeland d47695436a Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-08-21 13:11:55 -07:00
Andrew Ho 7284a6c4f9 remove BilinearFormIntegrator::Update
no longer needed now that FaceQuadratureSpace can be efficiently compressed
2025-08-21 13:04:41 -07:00
Andrew Ho 46d05c44a0 review suggestions 2025-08-21 11:16:13 -07:00
Andrew Ho a107678f13 Merge branch 'master' into qfspace-device 2025-08-21 10:31:19 -07:00
Andrew Ho 3dc4463c56 Merge branch 'master' into kernel-spec 2025-08-21 10:26:22 -07:00
Andrew Ho 0b79aa138c Merge branch 'master' into lininteg-spec 2025-08-21 10:25:35 -07:00
Dylan Copeland c76acb2a7b Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-08-20 10:41:06 -07:00
Veselin Dobrev 7b7f77379e Merge branch 'master' into fec-new-fix 2025-08-19 16:54:27 -07:00
Jan Nikl 2b0c1cd199 Merge branch 'master' into najlkin/fix-hyperbolic-bdr 2025-08-19 16:33:34 -07:00
Jan Nikl b4793a0bd7 Merge branch 'master' into najlkin/fix-hyperbolic-bdr 2025-08-19 16:11:35 -07:00
Andrew Ho 41cccee855 Merge branch 'master' into fec-new-fix 2025-08-19 15:17:23 -07:00
Jeremy L Thompson 8fb8b77b3d Revert "libceed - use /gpu/cuda for tests by default, which is /gpu/cuda/gen, falls back if needed automatically"
This reverts commit c3dcf554df.
2025-08-19 15:47:23 -06:00
Dylan Copeland 8f6626aede Added MFEMData unit tests for large meshes. 2025-08-19 13:36:02 -07:00
Jan Nikl e3beb0370e Added BdrHyperbolicFormIntegrator. 2025-08-18 23:07:34 -07:00
Andrew Ho fab955250a Merge branch 'master' into qfspace-device 2025-08-18 15:52:07 -07:00
Jeremy L Thompson c3dcf554df libceed - use /gpu/cuda for tests by default, which is /gpu/cuda/gen, falls back if needed automatically 2025-08-18 14:09:36 -06:00
Jeremy L Thompson 8f52ddcf6f upadte INSTALL to note libCEED 0.12 still supported 2025-08-18 10:24:55 -06:00
Dylan Copeland 696ce1e8ed Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-08-17 11:28:40 -07:00
Dylan Copeland 87c6d3a370 Renamed Nonconforming -> NonconformingPatches. Removed unused code. 2025-08-17 11:28:11 -07:00
Veselin Dobrev 8f2b4bb539 Add a "parallel libCEED example" test to cover more libCEED related code. 2025-08-16 15:41:26 -07:00
Andrew Ho d70b99c4f3 Merge branch 'master' into fec-new-fix 2025-08-16 00:29:08 -07:00
Joseph Signorelli 550df43d5e Delete copy ctor + assign, closes #4930 2025-08-15 15:39:55 -07:00
Veselin Dobrev ad993a8b27 In MemoryManager::Insert, when re-registering a pointer, update the check
for the same attributes to allow another valid case that was previously
reported (in debug mode) as an error.
2025-08-15 14:01:48 -07:00
Jeremy L Thompson 6c032cb7cf astyle fixes 2025-08-15 09:09:50 -06:00
Jeremy L Thompson 8104dd3f04 update v0.13 guards - note: will have astyle fixes needed 2025-08-15 09:09:50 -06:00
Jed Brown bdd8696d22 ceed: support 0.12 and 1.0 2025-08-15 09:09:50 -06:00
Jeremy L Thompson 032fb568be libceed - v1.0 updates 2025-08-15 09:09:50 -06:00
Joseph Signorelli 86405d95a2 Add GetPointsNotFoundIndices 2025-08-13 15:05:11 -07:00
Joseph Signorelli a36151569f Add check to ensure mesh dimension + spatial dimension are equal 2025-08-13 14:59:22 -07:00
Mittal, Ketan e0cb9ebe3b add mu55 2025-08-13 14:29:11 -07:00
dylan-copeland 6f303de40d Minor changes to address review. 2025-08-11 22:07:59 -07:00
dylan-copeland e0c5a8952a Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-08-11 20:44:50 -07:00
Vladimir Z Tomov eb3bd655df Update future::dual. 2025-08-11 14:56:52 -07:00
Vladimir Z Tomov 6a862ca233 Merge branch 'master' into tmop-ad-wcuo 2025-08-11 14:45:24 -07:00
Andrew Ho 0e7368c055 Merge branch 'master' into qfspace-device 2025-08-08 13:09:10 -07:00
Andrew Ho 0f5898f3e0 Merge branch 'master' into pwconst-coeff-gpu 2025-08-08 13:07:57 -07:00
Tzanio Kolev cdc510145c Merge branch 'master' into findpts-interface 2025-08-08 12:06:12 -07:00
Dylan Copeland 3d6ee379e3 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-08-08 11:35:08 -07:00
Dylan Copeland 2361e45683 Fix for socket glvis output. 2025-08-08 11:34:36 -07:00
Mittal, Ketan 25d3ce9704 improve documentation 2025-08-07 17:19:18 -07:00
Mittal, Ketan acea08404c add missing newlines to changelog 2025-08-07 17:04:08 -07:00
Mittal, Ketan e718f2ec58 reviewer comments 2025-08-07 17:02:50 -07:00
Will Pazner e0c1018c9c Adjust cuda versions for CUSPARSE-1897 workaround 2025-08-07 16:32:54 -07:00
Will Pazner 7f263221dd Workaround and unit test for bug CUSPARSE-1897 2025-08-07 15:21:24 -07:00
Andrew Ho f6247a83dd switch to llvm20 for CI 2025-08-07 15:13:57 -07:00
Andrew Ho f419dc71f8 Merge branch 'qfspace-device' into pwconst-coeff-gpu 2025-08-07 13:38:20 -07:00
Andrew Ho 36c3688968 added AsConst 2025-08-07 13:37:57 -07:00
Andrew Ho 90e79c29fe Merge branch 'qfspace-device' into pwconst-coeff-gpu 2025-08-07 13:14:43 -07:00
Andrew Ho f8c659df1e Merge branch 'qspace-device' into qfspace-device 2025-08-07 12:45:49 -07:00
Jan Nikl c182459e6a Fixed cloning of RT trace and DG interface FE collections. 2025-08-05 00:39:57 -07:00
adam-sim-dev f82e8c04f9 Merge branch 'master' into cusparseXcsrsort 2025-08-04 11:31:33 +08:00
Andrew Ho 70235124a6 Merge branch 'qspace-device' into qfspace-device 2025-08-02 15:20:35 -07:00
Veselin DobrevandTom Epperly a328693444 Update fem/coefficient.cpp
Co-authored-by: Tom Epperly <epperly2@llnl.gov>
2025-08-01 09:40:57 -07:00
Andrew Ho 3889095a00 undo accidental change 2025-07-30 11:19:29 -07:00
Andrew Ho 826b089e8f documentation, missing kernel specialization instantiation 2025-07-30 11:15:43 -07:00
Andrew Ho 1bee2fc017 fix documentation 2025-07-30 10:53:42 -07:00
Andrew Ho c0a66cee74 dgdiffusion kernel specialization 2025-07-30 10:41:05 -07:00
Andrew Ho 9b94a6c225 dgtrace kernel specialization 2025-07-30 09:34:30 -07:00
Andrew Ho f0c4c45e02 specializations for vector diffusion 2025-07-30 01:24:35 -07:00
Andrew Ho 8f6912dc2a curlcurl integrator kernel specializations 2025-07-29 23:24:08 -07:00
Andrew Ho ea6053ef9d need kernels in a file so downstream codes can include and add their own specializations 2025-07-29 21:47:17 -07:00
Andrew Ho 7fc1fb501a kernel specializations for convection 2025-07-29 21:27:27 -07:00
Andrew Ho f6afbb8cee Merge branch 'master' into lininteg-spec 2025-07-29 20:39:40 -07:00
Andrew Ho 20d5e01189 added comment 2025-07-29 20:28:15 -07:00
Andrew Ho a979fc6aa6 Merge remote-tracking branch 'base/qfspace-device' into qfspace-device 2025-07-29 17:14:42 -07:00
Andrew Ho 8606afbc40 reset face_indices and inv_face_indices in ResetLazyData 2025-07-29 17:13:51 -07:00
Andrew Ho 28f754844f Merge branch 'qspace-device' into qfspace-device 2025-07-29 17:10:56 -07:00
Will Pazner ba1805ced8 Simplify FaceQuadratureSpace::GetTransformation 2025-07-29 16:38:29 -07:00
Will Pazner 90863b64e4 Properly set boundary attribute in FaceQuadratureSpace::GetTransformation
Add accessor (and cache the result) for mapping from boundary face indices to
boundary element indices in Mesh::GetBdrFaceToBdrElement.
2025-07-29 15:43:49 -07:00
Dylan Copeland 05d71b6093 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-07-29 12:51:44 -07:00
Andrew Ho 4c1c8c89ad Merge branch 'master' into qfspace-device 2025-07-29 10:58:53 -07:00
Dylan Copeland 61afd67059 Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-07-28 14:13:17 -07:00
Andrew Ho 3f0b53ac8e fixed make_unique usage 2025-07-28 07:18:01 -07:00
Andrew Ho 0fe75ffdc3 Merge branch 'master' into qfspace-device 2025-07-28 07:14:17 -07:00
Andrew Ho d896e940f7 update to modern C++ style code 2025-07-28 07:10:07 -07:00
Andrew Ho dc0cfb4785 switch to for-each loops 2025-07-28 07:06:34 -07:00
Jan Nikl 15874961af Added BoundaryHyperbolicLFIntegrator. 2025-07-27 23:01:26 -07:00
Jan Nikl c325b92286 Minor reformatting of HyperbolicFormIntegrator. 2025-07-27 23:01:26 -07:00
adam-sim-dev c731dee195 Merge branch 'master' into cusparseXcsrsort 2025-07-28 10:23:43 +08:00
Andrew Ho a6e81b4289 Merge remote-tracking branch 'base/qfspace-device-compress' into qfspace-device 2025-07-25 14:29:45 -07:00
Andrew Ho 09165c10e6 Revert "Added lazy offset construction and optional qspace compression"
This reverts commit 1efc5e78e5.
2025-07-25 14:29:04 -07:00
Will Pazner 95ca14247c Support enabling or disabling compression in QuadratureSpaceBase::Offsets 2025-07-25 13:30:39 -07:00
Andrew Ho 1efc5e78e5 Added lazy offset construction and optional qspace compression 2025-07-25 12:10:17 -07:00
Will Pazner fb42b564f2 Fix unused variable warning 2025-07-25 10:46:36 -07:00
Andrew Ho a553c2dba8 update doc since CUB implementation by design requires commutative operators 2025-07-25 10:32:57 -07:00
Will Pazner 9f0216b037 Add GPU support for PWConstCoefficient::Project 2025-07-25 10:11:02 -07:00
Will Pazner 6675385cbe Merge branch 'qfspace-device' into pwconst-coeff-gpu 2025-07-25 09:41:24 -07:00
Will Pazner 8a810f7cf5 Merge branch 'qspace-device' into pwconst-coeff-gpu 2025-07-25 09:41:21 -07:00
Will Pazner b6f755925c Compress offsets in FaceQuadratureSpace 2025-07-23 16:44:47 -07:00
adam-sim-dev 64c78ff17e Merge branch 'master' into cusparseXcsrsort 2025-07-23 10:01:12 +08:00
Andrew Ho 01444aa93c Merge branch 'master' into cmake_improvements 2025-07-22 11:13:35 -07:00
Andrew Ho 25bd2f9596 Merge remote-tracking branch 'base/qfspace-device' into qfspace-device 2025-07-21 12:08:55 -07:00
Andrew Ho 516f709061 remove old comments 2025-07-21 12:06:08 -07:00
Andrew Ho fa89692e57 Use O(1) way to find number of faces of given type
GetNFbyType is O(n) in number of faces
2025-07-21 11:54:45 -07:00
Andrew Ho 1b6d878189 Added a way to indicate to the bilinear integrators that the mesh/fespace has been updated 2025-07-21 11:31:05 -07:00
Andrew Ho f73f41fc82 Merge branch 'master' into qfspace-device 2025-07-19 17:07:24 -07:00
Andrew Ho 9b1b56a155 avoid overflow in test
found bug for non-commutative scan in cub
2025-07-19 14:20:31 -07:00
Andrew Ho f95b18b457 move face_indices and face_indices_inv into mesh
this allows them to only be re-computed on mesh face info update and
shared between FaceQuadratureSpace objects
2025-07-19 11:24:50 -07:00
Andrew Ho af6d0d7479 Added GPU-accelerated parallel scan 2025-07-18 23:40:16 -07:00
Veselin Dobrev d6cb23ab2f Fix the serial build 2025-07-18 20:06:50 -07:00
Veselin Dobrev 2a65d49db3 Add new method: GridFunction::GetGradients with support for GPU.
Add GPU support in GradientGridFunctionCoefficient and
InnerProductCoefficient by implementing their Project methods.
2025-07-18 19:36:52 -07:00
Dylan Copeland fd6e93c7ad Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-07-18 12:05:17 -07:00
Dylan Copeland 712bee9cce Fixed a bug for repeated refinement in 3D. Added a 3D sample run for ex1. Minor refactoring. 2025-07-17 16:36:30 -07:00
Dylan Copeland 34043e730b New simple 3D example mesh. New unit tests for loading simple 2D and 3D NURBS NC-patch meshes. 2025-07-16 19:36:03 -07:00
Dylan Copeland 850c1813c3 Fixed ex1 for an NC-patch NURBS mesh without IGA. Improved variable naming and documentation. 2025-07-16 13:57:16 -07:00
Dylan Copeland 84c08a69ee Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-07-16 10:46:32 -07:00
Andrew Ho 5496699870 documentation 2025-07-16 08:27:45 -07:00
Andrew Ho 2d3ec4ca67 remove the output name check
sometimes there are equivalent basis with different names created
2025-07-16 08:03:16 -07:00
Andrew Ho 6915a8c6f3 change DomainLFIntegrator to use kernel dispatch 2025-07-15 19:01:30 -07:00
Andrew Ho 0950325080 Merge branch 'master' into kernel-spec 2025-07-15 13:24:17 -07:00
Andrew Ho 03a6f1b190 more missing kernels/organization 2025-07-15 13:10:04 -07:00
Gabriel Esteban Pinochet Soto 769f672ac1 Fix style 2025-07-15 07:22:15 -07:00
Gabriel Pinochet-SotoandChris Vogl dca2a24af2 Update fem/fespace.hpp
Co-authored-by: Chris Vogl <vogl2@llnl.gov>
2025-07-14 21:40:40 -07:00
Gabriel Pinochet-Soto 019194d42d Merge branch 'master' into dev/docs-add 2025-07-14 21:39:43 -07:00
adam-sim-dev 07c0f31e37 Merge branch 'master' into cusparseXcsrsort 2025-07-15 09:21:19 +08:00
Andrew Ho 4caf208e36 fixed bug in 2D diffusion PA 2025-07-14 17:58:38 -07:00
Andrew Ho b050e307db organize specializations, added important missing ones 2025-07-14 14:45:02 -07:00
Andrew Ho b70589bcac also need to link to rocblas 2025-07-14 12:06:20 -07:00
Andrew Ho 17bbaf500c Merge remote-tracking branch 'base/master' into cmake_improvements 2025-07-14 12:04:05 -07:00
Gabriel Esteban Pinochet Soto 03da0c870c Add description to GetElementTransformation 2025-07-09 08:48:47 -07:00
Dylan Copeland 933e1714c8 Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-07-08 12:37:53 -07:00
Dylan Copeland a1179d6489 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-07-07 11:15:19 -07:00
Tzanio Kolev 60ab10bf58 Merge branch 'master' into najlkin/fix-hyperbolic-bdr 2025-07-01 12:54:29 -07:00
Dylan Copeland 5932fcd331 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-06-27 16:22:47 -07:00
adam-sim-dev 5cf82dc903 Merge branch 'master' into cusparseXcsrsort 2025-06-27 09:30:04 +08:00
Mittal, Ketan 631f8e4868 merge and resolve CHANGELOG conflict 2025-06-26 09:39:16 -07:00
Mittal, Ketan cb98ed992b update CHANGELOG for this PR and including changes due to bounding PR as well 2025-06-26 09:37:27 -07:00
Mittal, Ketan 95eb39f60f Merge branch 'master' of https://github.com/mfem/mfem into findpts-interface 2025-06-26 09:27:35 -07:00
Dylan Copeland 7b0f4ad3fd Improved documentation for HashTable. 2025-06-24 16:11:07 -07:00
Dylan Copeland 0f4bdae918 MPI fix for Windows. 2025-06-24 15:42:22 -07:00
Dylan Copeland cf93d97e99 Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-06-24 15:23:02 -07:00
Dylan Copeland 2d84f0cb6e Bug fix. 2025-06-24 15:22:15 -07:00
Dylan Copeland 4b74777aae Remove unused variables. 2025-06-24 15:00:26 -07:00
Dylan Copeland f7bfa3deb0 Refactored to return indices of conflicting refinements. Added documentation. 2025-06-24 13:24:51 -07:00
Dylan Copeland 28cfca4dba Merge branch 'master' of github.com:mfem/mfem into hex-ref-check 2025-06-23 21:03:59 -07:00
adam-sim-dev f19ec00b0a Merge branch 'master' into cusparseXcsrsort 2025-06-24 12:03:46 +08:00
Dylan Copeland 89346b597c Enabled parallel anisotropic refinement of hexahedral meshes without conflicting directions on faces. Added a new function to check whether a set of refinements has conflicts, as well as demonstration in miniapp phpref. 2025-06-23 21:02:54 -07:00
Jan Nikl 66ff264731 Added support for boundary integration to HyperbolicFormIntegrator. 2025-06-23 16:40:24 -07:00
Dylan Copeland 1339b6b99a Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-06-20 11:46:01 -07:00
Andrew Ho 9480e5c5bb Merge branch 'master' into cusparseXcsrsort 2025-06-16 12:21:18 -07:00
Andrew Ho 2cfb86aade Merge branch 'master' into cmake_improvements 2025-06-16 12:21:05 -07:00
Jan Nikl 058fdaae3f Implemented gradient of ParBlockNonlinearForm with shared face contributions. 2025-06-11 16:23:42 -07:00
Jan Nikl 9a92e4875b Implemented Mult of ParBlockNonlinearForm with shared face contributions. 2025-06-11 16:22:16 -07:00
Dylan Copeland 0735280f9d Minor fix. 2025-06-10 23:34:54 -07:00
Dylan Copeland e7c041247f Enabling refinement factor 1 (no-op) in some patch directions. Fixing refinement for NC-patch NURBS meshes not requiring coarsening. 2025-06-10 23:05:12 -07:00
Dylan Copeland af00755d68 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-06-06 15:53:33 -07:00
adam-sim-dev cc21011998 Merge pull request #3 from mfem/cusparseXcsrsort-update
cusparseXcsrsort-update by pazner
2025-06-05 14:04:25 +08:00
Will Pazner 09aa9374a9 Use MFEM_REAL_T macro for CUDA/HIP datatype 2025-06-04 20:34:10 -07:00
Will Pazner 78e8cdd7e8 Update SparseMatrix::SortColumnIndices (CUDA or HIP)
Use non-deprecated APIs, and unify the CUDA and HIP implementations.
2025-06-04 14:09:20 -07:00
Andrew Ho 86e75206b1 Merge branch 'master' into cmake_improvements 2025-06-02 11:38:08 -07:00
Andrew Ho 04a3fd9bb2 Merge branch 'master' into cusparseXcsrsort 2025-06-02 11:38:00 -07:00
Mittal, Ketan 2b962e18a6 Merge branch 'master' of https://github.com/mfem/mfem into tmop-ad-wcuo 2025-05-29 11:50:52 -07:00
Mittal, Ketan 6e5c7fd286 Merge branch 'tmop-ad-wcuo' of https://github.com/mfem/mfem into tmop-ad-wcuo 2025-05-29 11:50:47 -07:00
Mittal, Ketan 6303361f5a minor fix to abort msg 2025-05-29 11:50:35 -07:00
Mittal, Ketan e31e0b7c25 minor 2025-05-27 10:52:30 -07:00
Mittal, Ketan 8bf7aaac1f Merge branch 'master' of https://github.com/mfem/mfem into findpts-interface 2025-05-27 10:51:13 -07:00
Mittal, Ketan f83036c4bc minor 2025-05-27 10:51:01 -07:00
Dylan Copeland 72f0b668c8 Bug fix. 2025-05-22 21:48:24 -07:00
Dylan Copeland aefeb46c48 Generalized NURBSPatchMap for master edges on interior boundaries for 2D patch topology. 2025-05-22 20:48:57 -07:00
Stowell, Mark L. 6e111c3ada Adding reference for the Boris algorithm 2025-05-22 14:16:40 -07:00
Dylan Copeland 30a3d7c0d4 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-05-19 10:09:30 -07:00
Will Pazner ea449e1c41 Fix bug in LORBase::AddIntegratorsAndMarkers
Was previously potentially dereferencing null pointer
2025-05-17 22:57:58 -07:00
Will Pazner c9115e74fb Merge remote-tracking branch 'origin/master' into lor_dg_preconditioner 2025-05-16 20:25:22 -07:00
Will Pazner 35040b0336 Remove AMR + DG LOR sample runs
AMR + DG diffusion + PA is not yet implemented
2025-05-16 20:25:12 -07:00
AnthonyandWill Pazner 4ce11b4a12 Add comment
Co-authored-by: Will Pazner <11493037+pazner@users.noreply.github.com>
2025-05-06 14:16:49 -07:00
dylan-copeland cb580207c8 Fix mac build 2025-05-06 11:27:11 -07:00
Dylan Copeland cd59e68993 Refactored NCNURBSExtension::FindAdditionalFacesSA. 2025-05-06 11:16:24 -07:00
dylan-copeland eb61aa4244 Fix mac build 2025-05-05 22:32:17 -07:00
Dylan Copeland 3659acd79d Refactored with a derived class NCNURBSExtension. 2025-05-05 22:04:59 -07:00
Dylan Copeland 9d3047b3a7 Documentation. 2025-05-05 11:59:00 -07:00
Tzanio Kolev f2ac9b5653 Merge branch 'master' into nurbs-nc 2025-05-03 13:28:07 -07:00
Mittal, Ketan 8f9e4b27fc minor 2025-05-01 15:43:15 -07:00
Ketan MittalandCopilot 076ad6907f Update fem/tmop.cpp
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-04-30 12:25:37 -07:00
Will Pazner f17b1c4e4f real_t instead of int in DG LOR test 2025-04-30 09:06:32 -07:00
Tzanio Kolev 7cfd3f5c7e Merge branch 'master' into lor_dg_preconditioner 2025-04-30 09:00:41 -07:00
Mittal, Ketan 9faa6f8968 fix compiler error 2025-04-29 10:56:52 -07:00
Mittal, Ketan b5156dcdec Merge branch 'master' of https://github.com/mfem/mfem into tmop-ad-wcuo 2025-04-29 10:14:08 -07:00
Mittal, Ketan cf6c98654a add mu14 and mu66 2025-04-29 10:12:39 -07:00
Will Pazner 63ea83c455 Add make_permuted_mesh.cpp to unit tests CMakeLists.txt 2025-04-29 08:40:07 -07:00
Will Pazner 38ee46c40f Fix shadow warnings 2025-04-28 21:40:10 -07:00
Will Pazner c271283490 Fix lambda capture
Resolve error: lambda capture 'this' is not used
2025-04-28 19:03:19 -07:00
Will Pazner 808f5c94db In LOR solvers, use fast assembly for RHS only for H1 2025-04-28 17:57:22 -07:00
Mittal, Ketan e818d6645b minor 2025-04-28 17:08:28 -07:00
Mittal, Ketan 73313bb44d remove some duplication 2025-04-28 17:07:03 -07:00
Will Pazner 287631bee4 Fix averaging of face penalty factor in LOR DG 2025-04-28 15:14:18 -07:00
Will Pazner 4da6e52698 Fix Doxygen typo 2025-04-28 15:14:18 -07:00
Will Pazner cc12d37693 Doxygen documentation for LOR DG 2025-04-28 15:14:18 -07:00
Will Pazner 35fe98417c Update copyright year 2025-04-28 15:14:18 -07:00
Will Pazner 936f1fc848 Parallel LOR+DG assembly 2025-04-28 15:14:18 -07:00
Will Pazner 2cadeaad4c Add ParFiniteElementSpace::GetFaceNbrGlobalDofMapArray
Returning Array instead of pointer allows use on device
2025-04-28 15:14:18 -07:00
Will Pazner f7fa092013 Batched LOR DG GPU fixes
For integers a and b, converting pow(a,b) to integer truncates, which
can cause indexing issues.

For example, in a CUDA kernel, int(pow(3,1)) evaluates to 2.
2025-04-28 15:14:18 -07:00
Will Pazner 9103db88b6 DG+LOR updates 2025-04-28 15:14:18 -07:00
Will Pazner 0303f12887 Minor LOR+DG modifications 2025-04-28 15:14:18 -07:00
Will Pazner 6650a1dffe Factor out FaceIdxToVolIdx 2025-04-28 15:14:18 -07:00
Will Pazner 9a22d4533f Remove matrix output in LOR DG test 2025-04-28 15:14:18 -07:00
Will Pazner 412715c2e4 Factor out face terms in LOR + DG 2025-04-28 15:14:18 -07:00
Will Pazner 9803cbb671 Simplify LOR+DG implementation 2025-04-28 15:14:18 -07:00
Will Pazner 6805b8c7f6 Simplify LOR+DG unit tests 2025-04-28 15:14:18 -07:00
Will Pazner 7aeba0ff83 Adjust DG kappa in LOR solvers miniapp 2025-04-28 15:14:18 -07:00
Will Pazner dbd55a8fb4 Simplified implementation of BatchedLOR_DG::Assemble2D 2025-04-28 15:14:18 -07:00
Toni-ko 277199c3a5 gpu compatiblility 2025-04-28 15:14:18 -07:00
Toni-ko e7e00e6e39 Got rid of shoelace formula for element area and volume computations 2025-04-28 15:14:18 -07:00
Toni-ko e78c1b8b4c passes orientation tests 2025-04-28 15:14:18 -07:00
Will Pazner dcec51b98a Fix permuted test case
(Test still fails)
2025-04-28 15:14:18 -07:00
Will Pazner 2e9f545a4e DG LOR test case
Add commented-out code for testing 3D face permutations
2025-04-28 15:14:18 -07:00
Toni-ko e49854f3ba Passes tests on ref cube, inline-hex, and any version of inline-hex where nx, ny, nz, sx, sy, and/or sz are changed. 2025-04-28 15:14:18 -07:00
Toni-ko 0bb71aa1fa Passes tests on ref-cube, and inline-hex (including when nx, ny, nz or sx, sy, and sz are changed). 2025-04-28 15:14:18 -07:00
Will Pazner 07dc0f6cfa Change mesh permutation function names 2025-04-28 15:14:18 -07:00
Will Pazner 847183e668 Factor out test code for making permuted meshes 2025-04-28 15:14:18 -07:00
Toni-ko 8a1a264eaa some clean-up 2025-04-28 15:14:18 -07:00
Anthony Kolshorn 606a597303 debugging for gpu 2025-04-28 15:14:18 -07:00
Toni-ko e194835abd quick edit 2025-04-28 15:14:18 -07:00
Toni-ko 208f9b81b3 gpu debugging 2025-04-28 15:14:18 -07:00
Will Pazner e50ebb573e Bugfix 2025-04-28 15:14:18 -07:00
Toni-ko c315298a86 debugging 2025-04-28 15:14:18 -07:00
Will Pazner 12bafa69e8 Debugging 2025-04-28 15:14:18 -07:00
Toni-ko 1729961a89 testing 2025-04-28 15:14:18 -07:00
Will Pazner 6dcc19abab Small LOR DG fixes 2025-04-28 15:14:18 -07:00
Toni-ko a5fccc7514 Debugging 2025-04-28 15:14:18 -07:00
Will Pazner cfe25c432c Template for unifying LOR DG matrix assembly 2025-04-28 15:14:18 -07:00
Will Pazner b8fe4cbf97 Get (p+2) Lobatto vertex coordinates for DG LOR 2025-04-28 15:14:18 -07:00
Will Pazner ea0abf46fe Use eta instead of kappa in LOR Batched DG unit test 2025-04-28 15:14:17 -07:00
Will Pazner 556b43f900 Small fixes in BatchedLOR_DG::Assemble2D 2025-04-28 15:14:17 -07:00
Will Pazner aa567465ac Extract kappa in BatchedLOR_DG 2025-04-28 15:14:17 -07:00
Will Pazner 986cee600f make style 2025-04-28 15:14:17 -07:00
Toni-ko 7634a4b663 Correct sparsity Pattern for LOR DG, wrong values 2025-04-28 15:14:17 -07:00
Will Pazner 1368cfb8cb Framework for LOR DG preconditioner assembly 2025-04-28 15:14:17 -07:00
Will Pazner 53c561cbf0 Update fem/CMakeLists.txt with missing headers 2025-04-28 15:14:17 -07:00
Will Pazner 3c2e847e0a Factor out test same matrix unit test utils 2025-04-28 15:14:17 -07:00
Mittal, Ketan 838398e4e7 AD for WCUO 2025-04-26 17:48:00 -07:00
Tzanio Kolev 6daba6f9fa Merge branch 'master' into nurbs-nc 2025-04-26 12:23:48 -07:00
Andrew Ho f65f60dbb5 Merge branch 'master' into cmake_improvements 2025-04-25 13:14:09 -07:00
Jan Nikl 9dab032bd0 Merge branch 'master' into najlkin/parform-impro 2025-04-24 15:40:44 -07:00
Mittal, Ketan a26eaed48a fix constructor 2025-04-23 09:26:05 -07:00
Mittal, Ketan 31171c22ce make style 2025-04-22 15:10:07 -07:00
Mittal, Ketan ef47e36e41 minor change to constructor 2025-04-22 15:09:23 -07:00
Mittal, Ketan 3e7280df12 remove unneeded deletes 2025-04-22 12:59:36 -07:00
Mittal, Ketan 10915f67e1 minor 2025-04-22 12:57:37 -07:00
Mittal, Ketan e4b27670c8 re-use constructors 2025-04-22 12:46:41 -07:00
Dylan Copeland 969ba74440 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-04-22 12:32:29 -07:00
Dylan Copeland 68ae30ad6f Remove refinements section from file when not NC-NURBS. 2025-04-22 12:31:58 -07:00
Mittal, Ketan c51895ee22 make style 2025-04-21 21:11:49 -07:00
Mittal, Ketan a19255274d merge and resolve conflicts 2025-04-21 21:11:38 -07:00
Mittal, Ketan 9e5323be86 documentation 2025-04-21 20:20:39 -07:00
Mittal, Ketan b9932b5cb2 minor 2025-04-21 19:46:53 -07:00
Mittal, Ketan 1e73159e11 fix for serial 2025-04-21 18:50:31 -07:00
Mittal, Ketan 00691298d1 use updated interface 2025-04-21 18:48:52 -07:00
Mittal, Ketan 07ff46c1d6 findpts interface initial commit 2025-04-21 18:28:33 -07:00
Andrew Ho e49a62ab1b Merge branch 'master' into cmake_improvements 2025-04-20 13:41:50 -07:00
Tzanio Kolev e3b732761f Merge branch 'master' into improve-mma-doxygen-comments 2025-04-15 13:46:52 -07:00
Tzanio Kolev 44f8eb9990 Merge branch 'master' into nurbs-nc 2025-04-15 13:45:42 -07:00
Andrew Ho 18a256d17b coalesce SHARED_LIBRARY and UNKNOWN_LIBRARY cases
these ended up being the same
2025-04-14 09:43:22 -07:00
Tom Epperly a4d8700473 Minor changes to the documentation. 2025-04-14 08:12:27 -07:00
Andrew Ho 47b73713a6 fixed CMake build with RAJA/CUDA 2025-04-12 09:30:32 -07:00
Andrew Ho 43f4d9d6e3 treat UNKNOWN_LIBRARY as a shared library 2025-04-12 08:53:21 -07:00
Andrew Ho 081bbdd1c2 Merge remote-tracking branch 'base/master' into cmake_improvements 2025-04-12 08:39:26 -07:00
Tom Epperly 80b04009af Resolve more pre-commit checking issues 2025-04-11 16:45:31 -07:00
Tom Epperly 7983d25a14 Fix a mistake 2025-04-11 16:33:32 -07:00
Tom Epperly bf1a63c920 Support mfem preferences about $..$ instead of \f$..\f$ 2025-04-11 16:29:35 -07:00
Tom Epperly b64bb19cf8 Add more space 2025-04-11 16:23:49 -07:00
Tom Epperly 321bcceb1c Format the comments for better doxygen rendering and add more
elaborate comments.
2025-04-11 16:19:48 -07:00
Dylan Copeland c3656a5573 Minor edits. 2025-04-10 12:04:29 -07:00
Dylan Copeland f84d5d1bfa More documentation. Removed allow_bad_orientation option in Mesh. 2025-04-10 11:32:26 -07:00
Dylan Copeland 6ce9d7b3be Updated example nc3-nurbs.mesh. 2025-04-10 10:50:15 -07:00
Dylan Copeland 02dd999886 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-04-09 20:56:36 -07:00
Dylan Copeland 5132b9191c Doc fix. 2025-04-09 16:41:25 -07:00
Dylan Copeland e16cf9a89d Documentation. 2025-04-09 16:02:55 -07:00
Dylan Copeland dd3e76db6c New structs to simplify some arrays. 2025-04-08 22:49:31 -07:00
Dylan Copeland 8578bf4918 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-04-08 12:35:39 -07:00
Dylan Copeland 97e5cf0dc4 Fixed KnotRemove for the case of multiple removals. 2025-04-08 12:34:43 -07:00
Dylan Copeland 40083984c1 Minor fixes. 2025-04-07 22:46:51 -07:00
Dylan Copeland 96cc518acf More refactoring of duplicated code. 2025-04-07 19:00:50 -07:00
Dylan Copeland acb1bb4dc2 Eliminating some code duplication. 2025-04-07 15:25:51 -07:00
Dylan Copeland 8f391e9854 Name correction, from knot to knot-span. 2025-04-07 12:07:14 -07:00
Dylan Copeland dfb73f248f More refactoring. 2025-04-05 23:00:20 -07:00
Dylan Copeland c55f3c13af More simplification and formatting. 2025-04-04 19:27:50 -07:00
Dylan Copeland 8d40910fd8 Using efficient search for NC patch edges and faces. 2025-04-04 15:03:36 -07:00
Dylan Copeland b2e61e7e1c Refactoring. 2025-04-03 19:42:24 -07:00
Andrew Ho 7c80866b49 Change TPL library detection so new CMake-style targets will be detected 2025-03-31 14:28:41 -07:00
Andrew Ho 7ec6704a51 Merge remote-tracking branch 'base/master' into cmake_improvements 2025-03-31 14:19:10 -07:00
Dylan Copeland 62dcb4cf1a Generalized for mesh files with uniform spacing and without patch_cp. 2025-03-25 11:43:41 -07:00
Dylan Copeland 0f0d70dad1 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-03-24 17:35:14 -07:00
Andrew Ho 3c1606903c Merge branch 'master' into cmake_improvements 2025-03-24 06:28:59 -07:00
Dylan Copeland 80274347ae More refactoring and bug fixes. 2025-03-22 21:47:56 -07:00
Dylan Copeland 622985d8da Interface improvements and refactoring. 2025-03-22 20:39:15 -07:00
Jan Nikl cdfe8102ae Added gradient of ParNonlinearForm with face integrators. 2025-03-18 16:44:51 -07:00
Andrew Ho 754235e932 switched order to if variable == value 2025-03-13 17:07:26 -07:00
Andrew Ho 0cc04c8bd9 Merge branch 'master' into cmake_improvements 2025-03-13 16:37:12 -07:00
Andrew Ho 5f82901f73 revert change to fix #4732
this is in its own PR now
2025-03-12 13:15:47 -07:00
Andrew Ho 41a262563b Merge remote-tracking branch 'origin/cmake_improvements' into cmake_improvements 2025-03-12 13:08:34 -07:00
Andrew Ho b081aa7eea rollback non-cmake related changes from this branch
These will be added in a separate PR
2025-03-12 13:05:56 -07:00
Andrew Ho 3c7a63f742 Merge branch 'master' into cmake_improvements 2025-03-12 10:57:47 -07:00
Andrew Ho ffe14214ae Re-detect HYPRE cmake variables if needed 2025-03-12 10:52:45 -07:00
Dylan Copeland c515b75b53 Setting patch ownership of DOFs. 2025-03-10 10:09:23 -07:00
Jan Nikl 5b82bf0328 Revert "WIP: Added support for trace face integrators in ParMixedBilinearForm."
This reverts commit 323ee572b6.
2025-03-06 06:00:07 -08:00
Dylan Copeland ecab08e1b6 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-03-05 22:30:22 -08:00
Dylan Copeland 5602c66e1a Generalized to allow varying refinement factors on auxiliary and slave edges. Added new partial spacing formula. 2025-03-05 22:28:52 -08:00
Andrew Ho 900085cb9d Add namespace to kernel dispatch macro
This allows external codes to use MFEM_REGISTER_KERNELS to create
their own kernel tables without needing to either have `using
namespace mfem;` or inject symbols into the mfem namespace.
2025-03-04 01:06:07 -08:00
Andrew Ho 0376760aa1 Merge branch 'master' into cmake_improvements 2025-03-04 01:05:38 -08:00
Andrew Ho 2ab9ae818e Merge branch 'master' into cmake_improvements 2025-02-27 09:39:42 -08:00
Andrew Ho 1035382fad Merge remote-tracking branch 'base/master' into cmake_improvements 2025-02-25 09:12:33 -08:00
adam-sim-dev 90f33b1a86 Merge branch 'master' into cusparseXcsrsort 2025-02-19 08:36:21 +08:00
dylan-copeland c354e4cd27 Fix mac build. 2025-02-13 13:43:28 -08:00
Dylan Copeland 01d92c7133 Fixed the 2D case for knotvector-dependent refinement factors. 2025-02-13 12:59:45 -08:00
adam-sim-dev 136ae2d98f Merge branch 'master' into cusparseXcsrsort 2025-02-13 09:53:40 +08:00
Dylan Copeland 12896cd9ed Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2025-02-12 12:29:48 -08:00
Dylan Copeland 15ecbb5e6e Refactoring with a new struct. 2025-02-12 12:27:53 -08:00
Dylan Copeland b5ed99e1cd Added the capability to specify a refinement factor for each knotvector. Piecewise knotvectors can have multiple refinement factors. 2025-02-11 21:24:07 -08:00
adam-sim-dev 449a57d9ad Merge branch 'master' into cusparseXcsrsort 2025-02-05 09:41:21 +08:00
Tzanio Kolev 41b65d6333 Merge branch 'master' into najlkin/parform-impro 2025-02-04 14:55:19 -08:00
Tzanio Kolev 17e48c4d46 Merge branch 'master' into cmake_improvements 2025-02-04 14:53:31 -08:00
adam-sim-dev 7ac5b61955 Merge branch 'master' into cusparseXcsrsort 2025-01-31 18:28:18 +08:00
adam-sim-dev c98f117689 Merge branch 'master' into cusparseXcsrsort 2025-01-27 21:48:43 +08:00
Tzanio Kolev 337a0298bf Merge branch 'master' into cusparseXcsrsort 2025-01-19 13:08:07 -08:00
adam-sim-dev 7930b9b3ca Merge branch 'master' into cusparseXcsrsort 2025-01-13 12:09:24 +08:00
Jan Nikl 2534d2207d Fixed name of ParallelEliminateTrialEssentialBC(). 2025-01-09 10:49:10 -08:00
Jan Nikl 260b817b3c Merge branch 'master' into najlkin/parform-impro 2025-01-09 10:01:52 -08:00
Jan Nikl 613d5dd826 Fixed constness in some HyperParMatrix constructors. 2025-01-08 17:56:42 -08:00
Jan Nikl 323ee572b6 WIP: Added support for trace face integrators in ParMixedBilinearForm. 2025-01-08 17:56:05 -08:00
Jan Nikl 56ff5ac5bb Added support for interior face integrators to ParMixedBilinearForm. 2025-01-08 17:55:42 -08:00
Jan Nikl e1a06bd6c8 Added methods to Par(Mixed)BilinearForm for elimination of essential BCs. 2025-01-08 17:55:08 -08:00
Jan Nikl 9acae54669 Extended ParMixedBilinearForm methods for parallel assembly. 2025-01-08 17:54:28 -08:00
Jan Nikl 7d92e22a45 Added ParallelAssembleInternal() method to ParBilinearForm. 2025-01-08 17:53:21 -08:00
adam-sim-dev 7c0bc9c338 Merge branch 'master' into lorentz-pm-dev 2025-01-09 06:11:27 +08:00
Dylan Copeland b62aa1491f Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2024-12-30 17:54:54 -08:00
Dylan Copeland 7bff34ba6c Fixed multiple refinements. Implemented another case for auxiliary faces. 2024-12-30 13:55:01 -08:00
adam-sim-dev c0d8ba243d Merge branch 'master' into cusparseXcsrsort 2024-12-30 08:30:06 +08:00
adam-sim-dev c946067b9b Merge branch 'master' into cusparseXcsrsort 2024-12-19 04:49:25 +08:00
Andrew Ho db803eb74a hypre could require rocsolver as well when built with hip 2024-12-11 21:17:59 -08:00
adam-sim-dev c35e5ad7fe Merge branch 'master' into cusparseXcsrsort 2024-12-08 18:57:22 +08:00
adam-sim-dev 059f0acee6 Merge branch 'master' into cusparseXcsrsort 2024-12-06 02:39:06 +08:00
Dylan Copeland a1ea837c1d Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2024-12-02 20:05:42 -08:00
Dylan Copeland 186ab1409e Documentation 2024-12-02 19:36:26 -08:00
Dylan Copeland 1c6d968ed7 Refinement by formulas in 2D. 2024-12-02 19:07:51 -08:00
adam-sim-dev e18d795334 Merge branch 'master' into cusparseXcsrsort 2024-11-27 09:13:48 +08:00
Andrew Ho 377c5d16f5 Merge branch 'master' into cmake_improvements 2024-11-26 11:53:50 -08:00
Andrew Ho 674379e6c9 macro should expand to include namespace
This allows user codes to not require `using namespace mfem;` in their
code to use MFEM_DEVICE_SYNC or MFEM_STREAM_SYNC
2024-11-26 11:42:28 -08:00
Dylan Copeland d0f0e2c392 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2024-11-25 14:58:54 -08:00
Dylan Copeland bf6d19e152 Refinement by formulas in 3D, starting from fully coarsened NC patches. 2024-11-25 14:40:07 -08:00
adam-sim-dev 243b234033 Merge branch 'master' into cusparseXcsrsort 2024-11-21 11:22:17 +08:00
Andrew Ho 56c5f17e01 Enhanced the parsing of CUDA_ARCH
Compatible with the existing syntax:
CUDA_ARCH=sm_70

Expanded capabilities:
CUDA_ARCH=all
CUDA_ARCH=all-major
CUDA_ARCH=native

List separated format and CMAKE_CUDA_ARCHITECTURES format:
CUDA_ARCH=sm_70,sm_86
CUDA_ARCH=sm_70;sm_86
CUDA_ARCH=70;86

supports CMake versions before 3.18 still.
CMake will complain about missing CUDA_ARCHITECTURES for targets if
you use "all", "all-major", or "native" for CMake versions 3.18-3.24,
however it will compile correctly. This is due to a limitation of
CMake being able to handle these cases.
2024-11-19 09:19:00 -08:00
adam-sim-dev 5afe2a09a3 Merge branch 'master' into cusparseXcsrsort 2024-11-18 11:06:52 +08:00
adam-sim-dev 64f8ab42c1 Merge branch 'master' into cusparseXcsrsort 2024-11-13 10:55:58 +08:00
adam-sim-dev 5fb9fc8ec5 Merge branch 'master' into cusparseXcsrsort 2024-11-13 08:41:35 +08:00
Mark L. Stowell 5a5dcd44df Fixing time step calculation 2024-11-07 15:51:27 -08:00
Mark L. Stowell d4ff68d2bd Selecting sample runs 2024-11-07 15:51:00 -08:00
Mark L. Stowell ac3417555c Adding to .gitignore 2024-11-07 13:36:33 -08:00
Mark L. Stowell e8bd89a672 Fixing mistakes in test command lines 2024-11-07 10:50:52 -08:00
Mark L. Stowell fc3c897fa6 Adding two simple tests of the lorentz miniapp 2024-11-07 09:30:04 -08:00
Mark L. Stowell 58bc2b070e make style 2024-11-07 08:48:49 -08:00
Mark L. Stowell 991284d3b6 Merge branch 'master' into lorentz-pm-dev 2024-11-07 08:44:35 -08:00
adam-sim-dev 587d437f32 Merge branch 'master' into cusparseXcsrsort 2024-11-05 08:43:47 +08:00
adam-sim-dev c0ae0f0a4b Merge branch 'master' into cusparseXcsrsort 2024-11-04 08:28:10 +08:00
Mark L. Stowell 615448bbc3 Cleanup 2024-11-01 17:34:16 -07:00
Mark L. Stowell 68cfee09e0 Make fields optional 2024-11-01 11:59:08 -07:00
Mark L. Stowell a0656da6ef Fixing banner 2024-11-01 10:37:36 -07:00
Mark L. Stowell 1395d44724 Changing miniapp name in secondary locations 2024-11-01 10:18:30 -07:00
Mark L. Stowell a42a394111 Changing the name of the new miniapp 2024-11-01 10:12:11 -07:00
Mark L. Stowell 0fa8b85391 Adding a new miniapp for particle trajectory due to Lorentz forces 2024-10-31 17:38:31 -07:00
Mark L. Stowell d4db7ef8cd Improving VisItDataCollection output from two miniapps to make them more usable 2024-10-31 17:36:08 -07:00
Andrew Ho 3d9af90191 need to link to cudart so projects depending on CUDA+MFEM don't need
to know about cuda directly
2024-10-30 18:17:47 -07:00
Andrew Ho 1ab9f62208 Fixed CMake install module file with CUDA or HIP 2024-10-30 17:11:43 -07:00
adam-sim-dev 179e6ec141 Merge branch 'master' into cusparseXcsrsort 2024-10-29 09:42:22 +08:00
adam-sim-dev 2434d4ac71 Merge branch 'master' into cusparseXcsrsort 2024-10-24 16:48:24 +08:00
adam-sim-devandAndrew Ho a9e5c58897 Correct descrA to matA_descr
Co-authored-by: Andrew Ho <ho37@llnl.gov>
2024-10-16 08:21:37 +08:00
adam-sim-dev 35d9fa1f6c Merge branch 'master' into cusparseXcsrsort 2024-10-15 12:15:04 +08:00
adam-sim-dev fb9117e9fb Merge branch 'master' into cusparseXcsrsort 2024-10-10 22:51:24 +08:00
Dylan Copeland 4af5e6a758 Added a flag to Mesh loader, allowing for bad orientation. Debugged the case of a patch only 1 element wide. 2024-10-03 16:05:44 -07:00
adam-sim-dev d4d149a5ff Use cusparseXcsrsort instead of the deprecated cusparseXcsru2csr 2024-09-29 14:27:26 +08:00
dylan-copeland b0dd0109bb More pedantic warning fixes. 2024-09-04 21:59:44 -07:00
Dylan Copeland ac9f49a137 Fix shadowed variable. 2024-09-04 21:43:27 -07:00
Dylan Copeland 178b9b8170 Fix last commit. 2024-09-04 21:32:05 -07:00
dylan-copeland 886579fb48 Moved new code for NC-NURBS to a new cpp file. 2024-09-04 21:13:08 -07:00
dylan-copeland 7367c5a42e Fix mac warnings. 2024-09-04 20:35:43 -07:00
Dylan Copeland b47ec8d14d Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2024-09-04 20:03:51 -07:00
Dylan Copeland a31f758d55 Generalized for auxiliary edges and faces in 3D. 2024-09-04 17:19:40 -07:00
Dylan Copeland 181247ffcf More rearranging. 2024-06-03 21:12:42 -07:00
Dylan Copeland cf5e341f49 Rearranged new code to simplify git diffs. 2024-06-03 20:58:42 -07:00
dylan-copeland 15b20e62ac Fixed comparison of different signedness. 2024-06-03 19:04:23 -07:00
dylan-copeland b8ad8fb003 Fixed build on mac. 2024-06-03 18:18:41 -07:00
Dylan Copeland 7fe11de76a Fixed some shadowed variables. 2024-06-03 17:08:00 -07:00
Dylan Copeland d12164148a Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2024-06-03 16:16:28 -07:00
Dylan Copeland f480dd23a4 Extension to 3D. 2024-06-03 13:16:55 -07:00
Dylan Copeland fd57eb3076 Merge branch 'master' of github.com:mfem/mfem into nurbs-nc 2023-12-13 15:25:29 -08:00
Dylan Copeland 4e6ac3490e Added data structures for auxiliary NC edges defined for patch intersections on subsets of patch edges. 2023-12-04 13:59:02 -08:00
Dylan Copeland 177e16ca9d Added option to specify "vertex_to_knot" in mesh file, for the case that refinement heirarchy does not exist and the mesh may have NURBS patches neighboring arbitrary elements. 2023-09-08 14:07:09 -07:00
Dylan Copeland 29e3f9b7a6 Initial 2D implementation of NC-NURBS meshes, with an example in ex1.cpp. 2023-08-02 14:53:54 -07:00
167 changed files with 17685 additions and 5253 deletions
+9 -5
View File
@@ -132,12 +132,14 @@ jobs:
hypre-target: int32
precision: fp64
enzyme: true
config-opts: MFEM_USE_ENZYME=YES ENZYME_DIR=$(brew --prefix enzyme)
config-opts: MFEM_USE_ENZYME=YES ENZYME_DIR=$(brew --prefix enzyme) LDFLAGS=-L$LLVM_PREFIX/lib/c++
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: ${{ matrix.enzyme && true || false }}
steps:
# Fix 'No space left on device' errors for Ubuntu builds.
- name: Run Actions Cleaner
@@ -292,10 +294,12 @@ jobs:
run: |
export HOMEBREW_NO_INSTALL_CLEANUP=1
brew update
brew install llvm@20 enzyme
echo "LLVM_PREFIX=$(brew --prefix llvm@20)" >> $GITHUB_ENV
echo "OMPI_CC=$(brew --prefix llvm@20)/bin/clang" >> $GITHUB_ENV
echo "OMPI_CXX=$(brew --prefix llvm@20)/bin/clang++" >> $GITHUB_ENV
brew install enzyme
ENZYME_LLVM=$(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
# MFEM build and test
- name: build
+44
View File
@@ -29,3 +29,47 @@ 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
+3
View File
@@ -208,10 +208,13 @@ 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/gslib/field-diff
miniapps/gslib/field-interp
+46 -1
View File
@@ -27,9 +27,27 @@ 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.
@@ -44,13 +62,19 @@ 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
-------------------------------------
@@ -60,10 +84,22 @@ New and updated examples and miniapps
operators as smoothers.
These miniapps can be found in `miniapps/diag-smoothers`.
API changes
- 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:
-----------
- 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`.
@@ -71,16 +107,25 @@ 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.
- 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 -6
View File
@@ -278,6 +278,11 @@ 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)
@@ -495,14 +500,13 @@ 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)
@@ -596,7 +600,7 @@ 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)
ALGOIM ENZYME CUDA::cudart)
# Add all created targets and *_FOUND libraries in the variables TPL_TARGETS and
# TPL_LIBRARIES, respectively.
@@ -614,6 +618,7 @@ foreach(TPL IN LISTS MFEM_TPLS)
endif()
endif()
endforeach(TPL)
list(REVERSE TPL_LIBRARIES)
list(REMOVE_DUPLICATES TPL_LIBRARIES)
list(REVERSE TPL_LIBRARIES)
+1 -1
View File
@@ -859,7 +859,7 @@ 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.
Versions: libCEED >= 0.12.0.
- RAJA (optional), used when MFEM_USE_RAJA = YES.
Beginning with MFEM v4.5.1, only RAJA v2022.10.3+ is supported.
+25
View File
@@ -84,6 +84,31 @@ 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)
+63 -21
View File
@@ -27,6 +27,7 @@ if (HYPRE_FOUND OR TARGET HYPRE)
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
@@ -37,51 +38,91 @@ if (HYPRE_FOUND OR TARGET HYPRE)
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${HYPRE_FETCH_VERSION}" CACHE STRING "Tag, branch, or commit for HYPRE")
add_library(HYPRE STATIC IMPORTED)
# set options and associated dependencies
set(CMAKE_OPTIONS)
list(APPEND CMAKE_OPTIONS -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE})
list(APPEND HYPRE_CMAKE_OPTIONS -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE})
if (MFEM_USE_CUDA)
list(APPEND CMAKE_OPTIONS -DHYPRE_WITH_CUDA:BOOL=ON)
list(APPEND HYPRE_CMAKE_OPTIONS -DHYPRE_ENABLE_CUDA:BOOL=ON -DCMAKE_CUDA_ARCHITECTURES:STRING=${CMAKE_CUDA_ARCHITECTURES})
find_package(CUDAToolkit REQUIRED)
target_link_libraries(HYPRE INTERFACE CUDA::cusparse CUDA::curand CUDA::cublas)
elseif (MFEM_USE_HIP)
list(APPEND CMAKE_OPTIONS -DHYPRE_WITH_HIP:BOOL=ON)
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 CMAKE_OPTIONS -DHYPRE_ENABLE_SINGLE:BOOL=ON)
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_VERSION} to be built with ${CMAKE_OPTIONS}")
set(PREFIX ${CMAKE_BINARY_DIR}/fetch/hypre)
message(STATUS "Will fetch HYPRE ${HYPRE_FETCH_TAG} to be built with ${HYPRE_CMAKE_OPTIONS}")
set(HYPRE_INSTALL ${CMAKE_BINARY_DIR}/fetch/hypre)
include(ExternalProject)
ExternalProject_Add(hypre
GIT_REPOSITORY https://github.com/hypre-space/hypre.git
GIT_TAG v${HYPRE_FETCH_VERSION}
GIT_TAG ${HYPRE_FETCH_TAG}
GIT_SHALLOW TRUE
GIT_PROGRESS TRUE
UPDATE_DISCONNECTED TRUE
SOURCE_SUBDIR src
PREFIX ${PREFIX}
CMAKE_CACHE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${PREFIX} -DCMAKE_INSTALL_LIBDIR:PATH=lib ${CMAKE_OPTIONS})
file(MAKE_DIRECTORY ${PREFIX}/include)
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 ${PREFIX}/lib/libHYPRE.a
INTERFACE_INCLUDE_DIRECTORIES ${PREFIX}/include)
IMPORTED_LOCATION ${HYPRE_INSTALL}/lib/libHYPRE.a
INTERFACE_INCLUDE_DIRECTORIES ${HYPRE_INSTALL}/include)
# convert HYPRE version to integer
string(REGEX MATCHALL "[0-9]+" HYPRE_SPLIT_VERSION ${HYPRE_FETCH_VERSION})
list(GET HYPRE_SPLIT_VERSION 0 HYPRE_MAJOR_VERSION)
list(GET HYPRE_SPLIT_VERSION 1 HYPRE_MINOR_VERSION)
list(GET HYPRE_SPLIT_VERSION 2 HYPRE_PATCH_VERSION)
math(EXPR HYPRE_VERSION "10000*${HYPRE_MAJOR_VERSION} + 100*${HYPRE_MINOR_VERSION} + ${HYPRE_PATCH_VERSION}")
# set cache variables that would otherwise be set after mfem_find_package call
set(HYPRE_VERSION ${HYPRE_VERSION} CACHE STRING "HYPRE version." FORCE)
if (HYPRE_FETCH_TAG MATCHES "^v?([0-9]+)\\.([0-9]+)\\.([0-9]+)$")
# 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()
@@ -149,7 +190,8 @@ endif()
if (HYPRE_FOUND AND HYPRE_USING_HIP)
find_package(rocsparse REQUIRED)
find_package(rocrand REQUIRED)
list(APPEND HYPRE_LIBRARIES ${rocsparse_LIBRARIES} ${rocrand_LIBRARIES})
find_package(rocsolver REQUIRED)
list(APPEND HYPRE_LIBRARIES ${rocsparse_LIBRARIES} ${rocrand_LIBRARIES} roc::rocsolver roc::rocblas)
set(HYPRE_LIBRARIES ${HYPRE_LIBRARIES} CACHE STRING
"HYPRE libraries + dependencies." FORCE)
message(STATUS "Updated HYPRE_LIBRARIES: ${HYPRE_LIBRARIES}")
+1
View File
@@ -32,6 +32,7 @@ if (METIS_FETCH OR FETCH_TPLS)
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)
@@ -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, EXECUTABLE.
# SHARED_LIBRARY, INTERFACE_LIBRARY, UNKNOWN_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 ("${type}" STREQUAL "SHARED_LIBRARY")
elseif ("${type}" STREQUAL "SHARED_LIBRARY" OR "${type}" STREQUAL "UNKNOWN_LIBRARY")
get_target_property(Location ${tgt} LOCATION)
if (Location)
get_filename_component(Dir ${Location} DIRECTORY)
@@ -932,12 +932,14 @@ function(mfem_export_mk_files)
endif()
set(MFEM_BUILD_TAG "${CMAKE_SYSTEM}")
set(MFEM_PREFIX "${CMAKE_INSTALL_PREFIX}")
# For the next 4 variable, these are the values for the build-tree version of
# For the next 4 variables, these are the values for the build-tree version of
# 'config.mk'
set(MFEM_INC_DIR "${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
View File
@@ -88,6 +88,7 @@ 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@
+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)
-arch=$(CUDA_ARCH) -isystem "$(CUDA_DIR)/include"
# Prefixes for passing flags to the host compiler and linker when using
# CUDA_CXX=nvcc
CUDA_XCOMPILER = -Xcompiler=
+593
View File
@@ -0,0 +1,593 @@
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
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164
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vertices
243
2
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4 3.5
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4 2
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5 1.5
5 2
5 2.5
5 3
5 3.5
5 4
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6.500 4
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7.5 4
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11.5 0.5
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12.5 0.500
12.5 1
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12.5 2
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15.500 2.5
15.500 2
15.500 1.5
15.500 1
15.500 0.5
+342
View File
@@ -0,0 +1,342 @@
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
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0 0.666666666666667 0
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4 0.666666666666667 0
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1.81325211007895 0.333333333333333 1
1.81325211007895 0.666666666666667 1
edges
87
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7 1 15
5 13 1
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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
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1.0
1.0
1.0
1.0
1.0
1.0
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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
@@ -0,0 +1,96 @@
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
@@ -202,6 +202,7 @@ 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
@@ -205,6 +205,15 @@ 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"
${MPIEXEC_POSTFLAGS})
endif()
endif()
# Include the examples/amgx directory if AmgX is enabled
+1
View File
@@ -27,6 +27,7 @@
// ex1 -m ../data/fichera-amr.mesh
// ex1 -m ../data/mobius-strip.mesh
// ex1 -m ../data/mobius-strip.mesh -o -1 -sc
// ex1 -m ../data/nc3-nurbs.mesh -o -1
//
// Device sample runs:
// ex1 -pa -d cuda
+6
View File
@@ -173,6 +173,12 @@ ex11p-test-cpardiso: ex11p
@$(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
+10
View File
@@ -171,6 +171,11 @@ 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
@@ -241,8 +246,13 @@ 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
+142 -40
View File
@@ -23,6 +23,8 @@
namespace mfem
{
class QuadratureSpace;
class FaceQuadratureSpace;
/// Abstract base class BilinearFormIntegrator
class BilinearFormIntegrator : public NonlinearFormIntegrator
@@ -2494,8 +2496,7 @@ private:
#endif
public:
ConvectionIntegrator(VectorCoefficient &q, real_t a = 1.0)
: Q(&q) { alpha = a; }
ConvectionIntegrator(VectorCoefficient &q, real_t a = 1.0);
void AssembleElementMatrix(const FiniteElement &,
ElementTransformation &,
@@ -2528,6 +2529,28 @@ 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,
@@ -2798,15 +2821,13 @@ protected:
bool symmetric = true; ///< False if using a nonsymmetric matrix coefficient
public:
CurlCurlIntegrator() { Q = NULL; DQ = NULL; MQ = NULL; }
CurlCurlIntegrator();
/// Construct a bilinear form integrator for Nedelec elements
CurlCurlIntegrator(Coefficient &q, const IntegrationRule *ir = NULL) :
BilinearFormIntegrator(ir), Q(&q), DQ(NULL), MQ(NULL) { }
CurlCurlIntegrator(Coefficient &q, const IntegrationRule *ir = nullptr);
CurlCurlIntegrator(DiagonalMatrixCoefficient &dq,
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) { }
const IntegrationRule *ir = nullptr);
CurlCurlIntegrator(MatrixCoefficient &mq,
const IntegrationRule *ir = nullptr);
/* Given a particular Finite Element, compute the
element curl-curl matrix elmat */
@@ -2836,6 +2857,34 @@ 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
@@ -3089,21 +3138,18 @@ private:
Vector vcoeff;
public:
VectorDiffusionIntegrator() { }
VectorDiffusionIntegrator(const IntegrationRule *ir = nullptr);
/** \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)
: vdim(vector_dimension) { }
VectorDiffusionIntegrator(int vector_dimension);
VectorDiffusionIntegrator(Coefficient &q)
: Q(&q) { }
VectorDiffusionIntegrator(Coefficient &q);
VectorDiffusionIntegrator(Coefficient &q, const IntegrationRule *ir)
: BilinearFormIntegrator(ir), Q(&q) { }
VectorDiffusionIntegrator(Coefficient &q, const IntegrationRule *ir);
/** \brief Integrator with scalar coefficient for caller-specified vector
dimension.
@@ -3113,8 +3159,7 @@ 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)
: Q(&q), vdim(vector_dimension) { }
VectorDiffusionIntegrator(Coefficient &q, int 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
@@ -3125,8 +3170,7 @@ 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)
: VQ(&vq), vdim(vq.GetVDim()) { }
VectorDiffusionIntegrator(VectorCoefficient &vq);
/** \brief Integrator with \c MatrixCoefficient. The vector dimension of the
\c FiniteElementSpace is assumed to be the same as the dimension of the
@@ -3137,8 +3181,7 @@ 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)
: MQ(&mq), vdim(mq.GetVDim()) { }
VectorDiffusionIntegrator(MatrixCoefficient& mq);
void AssembleElementMatrix(const FiniteElement &el,
ElementTransformation &Trans,
@@ -3154,6 +3197,28 @@ 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:
@@ -3307,8 +3372,8 @@ public:
class DGTraceIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient *rho;
VectorCoefficient *u;
Coefficient *rho = nullptr;
VectorCoefficient *u = nullptr;
real_t alpha, beta;
// PA extension
Vector pa_data;
@@ -3321,17 +3386,16 @@ 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)
{ rho = NULL; u = &u_; alpha = a; beta = 0.5*a; }
DGTraceIntegrator(VectorCoefficient &u_, real_t a);
/// Construct integrator with $\rho = 1$.
DGTraceIntegrator(VectorCoefficient &u_, real_t a, real_t b)
{ rho = NULL; u = &u_; alpha = a; beta = b; }
DGTraceIntegrator(VectorCoefficient &u_, real_t a, real_t b);
DGTraceIntegrator(Coefficient &rho_, VectorCoefficient &u_,
real_t a, real_t b)
{ rho = &rho_; u = &u_; alpha = a; beta = b; }
real_t a, real_t b);
using BilinearFormIntegrator::AssembleFaceMatrix;
void AssembleFaceMatrix(const FiniteElement &el1,
@@ -3370,6 +3434,26 @@ 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);
};
@@ -3416,8 +3500,8 @@ public:
class DGDiffusionIntegrator : public BilinearFormIntegrator
{
protected:
Coefficient *Q;
MatrixCoefficient *MQ;
Coefficient *Q = nullptr;
MatrixCoefficient *MQ = nullptr;
real_t sigma, kappa;
// these are not thread-safe!
@@ -3432,15 +3516,11 @@ protected:
IntegrationRules irs{0, Quadrature1D::GaussLobatto};
public:
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) { }
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);
using BilinearFormIntegrator::AssembleFaceMatrix;
void AssembleFaceMatrix(const FiniteElement &el1,
const FiniteElement &el2,
void AssembleFaceMatrix(const FiniteElement &el1, const FiniteElement &el2,
FaceElementTransformations &Trans,
DenseMatrix &elmat) override;
@@ -3459,6 +3539,28 @@ 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);
};
@@ -8,6 +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_conv and f_apply_conv
struct ConvectionContext {
@@ -91,7 +92,7 @@ CEED_QFUNCTION(f_build_conv_const)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for building quadrature data for a convection operator
@@ -167,7 +168,7 @@ CEED_QFUNCTION(f_build_conv_quad)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a conv operator
@@ -233,7 +234,7 @@ CEED_QFUNCTION(f_apply_conv)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a conv operator
@@ -381,7 +382,7 @@ CEED_QFUNCTION(f_apply_conv_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
@@ -525,5 +526,5 @@ CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
@@ -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 0;
return CEED_ERROR_SUCCESS;
}
/// 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 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a diff operator
@@ -241,7 +241,7 @@ CEED_QFUNCTION(f_apply_diff)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// 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 0;
return CEED_ERROR_SUCCESS;
}
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 0;
return CEED_ERROR_SUCCESS;
}
+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 0;
return CEED_ERROR_SUCCESS;
}
/// 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 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a mass operator
@@ -135,7 +135,7 @@ CEED_QFUNCTION(f_apply_mass)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// 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 0;
return CEED_ERROR_SUCCESS;
}
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 0;
return CEED_ERROR_SUCCESS;
}
@@ -8,6 +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_conv and f_apply_conv
struct NLConvectionContext { CeedInt dim, space_dim, vdim; CeedScalar coeff; };
@@ -87,7 +88,7 @@ CEED_QFUNCTION(f_build_conv_const)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for building quadrature data for a convection operator
@@ -167,7 +168,7 @@ CEED_QFUNCTION(f_build_conv_quad)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a conv operator
@@ -247,7 +248,7 @@ CEED_QFUNCTION(f_apply_conv)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
/// libCEED Q-function for applying a conv operator
@@ -362,7 +363,7 @@ CEED_QFUNCTION(f_apply_conv_mf_const)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
@@ -475,5 +476,5 @@ CEED_QFUNCTION(f_apply_conv_mf_quad)(void *ctx, CeedInt Q,
}
break;
}
return 0;
return CEED_ERROR_SUCCESS;
}
+12 -1
View File
@@ -18,10 +18,21 @@
#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
CeedCompositeOperatorCreate(internal::ceed, &oper);
CeedOperatorCreateComposite(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);
CeedCompositeOperatorAddSub(oper, sub_op->GetCeedOperator());
CeedOperatorCompositeAddSub(oper, sub_op->GetCeedOperator());
}
const int ndofs = fes.GetVDim() * fes.GetNDofs();
+6 -6
View File
@@ -140,11 +140,7 @@ int CeedOperatorGetActiveField(CeedOperator oper, CeedOperatorField *field)
CeedOperator *subops;
if (isComposite)
{
#if CEED_VERSION_GE(0, 10, 2)
ierr = CeedCompositeOperatorGetSubList(oper, &subops); PCeedChk(ierr);
#else
ierr = CeedOperatorGetSubList(oper, &subops); PCeedChk(ierr);
#endif
ierr = CeedOperatorCompositeGetSubList(oper, &subops); PCeedChk(ierr);
ierr = CeedOperatorGetQFunction(subops[0], &qf); PCeedChk(ierr);
}
else
@@ -171,7 +167,11 @@ int CeedOperatorGetActiveField(CeedOperator oper, CeedOperatorField *field)
for (int i = 0; i < numinputfields; ++i)
{
ierr = CeedOperatorFieldGetVector(inputfields[i], &if_vector); PCeedChk(ierr);
if (if_vector == CEED_VECTOR_ACTIVE)
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 (found)
{
+6 -11
View File
@@ -228,7 +228,7 @@ void AddToCompositeOperator(BilinearFormIntegrator *integ, CeedOperator op)
{
if (integ->SupportsCeed())
{
CeedCompositeOperatorAddSub(op, integ->GetCeedOp().GetCeedOperator());
CeedOperatorCompositeAddSub(op, integ->GetCeedOp().GetCeedOperator());
}
else
{
@@ -240,7 +240,7 @@ CeedOperator CreateCeedCompositeOperatorFromBilinearForm(BilinearForm &form)
{
int ierr;
CeedOperator op;
ierr = CeedCompositeOperatorCreate(internal::ceed, &op); PCeedChk(ierr);
ierr = CeedOperatorCreateComposite(internal::ceed, &op); PCeedChk(ierr);
MFEM_VERIFY(form.GetBBFI()->Size() == 0,
"Not implemented for this integrator!");
@@ -271,18 +271,13 @@ CeedOperator CoarsenCeedCompositeOperator(
MFEM_ASSERT(isComposite, "");
CeedOperator op_coarse;
ierr = CeedCompositeOperatorCreate(internal::ceed,
ierr = CeedOperatorCreateComposite(internal::ceed,
&op_coarse); PCeedChk(ierr);
int nsub;
CeedOperator *subops;
#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
ierr = CeedOperatorCompositeGetNumSub(op, &nsub); PCeedChk(ierr);
ierr = CeedOperatorCompositeGetSubList(op, &subops); PCeedChk(ierr);
for (int isub=0; isub<nsub; ++isub)
{
CeedOperator subop = subops[isub];
@@ -294,7 +289,7 @@ CeedOperator CoarsenCeedCompositeOperator(
// refcounted by existing objects
ierr = CeedBasisDestroy(&basis_coarse); PCeedChk(ierr);
ierr = CeedBasisDestroy(&basis_c2f); PCeedChk(ierr);
ierr = CeedCompositeOperatorAddSub(op_coarse, subop_coarse);
ierr = CeedOperatorCompositeAddSub(op_coarse, subop_coarse);
PCeedChk(ierr);
ierr = CeedOperatorDestroy(&subop_coarse); PCeedChk(ierr);
}
+52 -14
View File
@@ -81,12 +81,27 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
ierr = CeedOperatorFieldGetVector(input_fields[i], &vec); PCeedChk(ierr);
if (vec == CEED_VECTOR_ACTIVE)
{
ierr = CeedOperatorFieldGetBasis(input_fields[i], &basisin);
PCeedChk(ierr);
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 = CeedBasisGetNumComponents(basisin, &ncomp); PCeedChk(ierr);
ierr = CeedBasisGetDimension(basisin, &dim); PCeedChk(ierr);
ierr = CeedOperatorFieldGetElemRestriction(input_fields[i], &rstrin);
CeedElemRestriction rstr;
ierr = CeedOperatorFieldGetElemRestriction(input_fields[i], &rstr);
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);
@@ -112,6 +127,9 @@ 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
@@ -127,11 +145,25 @@ int CeedSingleOperatorFullAssemble(CeedOperator op, SparseMatrix *out)
ierr = CeedOperatorFieldGetVector(output_fields[i], &vec); PCeedChk(ierr);
if (vec == CEED_VECTOR_ACTIVE)
{
ierr = CeedOperatorFieldGetBasis(output_fields[i], &basisout);
PCeedChk(ierr);
ierr = CeedOperatorFieldGetElemRestriction(output_fields[i], &rstrout);
PCeedChk(ierr);
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);
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);
@@ -157,6 +189,9 @@ 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;
@@ -200,7 +235,11 @@ 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
@@ -285,6 +324,10 @@ 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);
@@ -310,13 +353,8 @@ int CeedOperatorFullAssemble(CeedOperator op, SparseMatrix **mat)
{
CeedInt numsub;
CeedOperator *subops;
#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
ierr = CeedOperatorCompositeGetNumSub(op, &numsub); PCeedChk(ierr);
ierr = CeedOperatorCompositeGetSubList(op, &subops); PCeedChk(ierr);
for (int i = 0; i < numsub; ++i)
{
ierr = CeedSingleOperatorFullAssemble(subops[i], out); PCeedChk(ierr);
+25 -1
View File
@@ -120,7 +120,11 @@ 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"
@@ -664,7 +668,11 @@ 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)
{
@@ -676,10 +684,19 @@ 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)
{
@@ -691,6 +708,11 @@ 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;
@@ -741,7 +763,9 @@ 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
@@ -12,6 +12,7 @@
// Implementation of Coefficient class
#include "fem.hpp"
#include "../general/forall.hpp"
#include <cmath>
#include <limits>
@@ -80,6 +81,49 @@ 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)
{
@@ -519,6 +563,26 @@ 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)
@@ -1065,6 +1129,41 @@ 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
@@ -132,6 +132,9 @@ 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
@@ -894,6 +897,9 @@ public:
void Eval(DenseMatrix &M, ElementTransformation &T,
const IntegrationRule &ir) override;
/// @copydoc VectorCoefficient::Project(QuadratureFunction &)
void Project(QuadratureFunction &qf) override;
virtual ~GradientGridFunctionCoefficient() { }
};
@@ -1771,6 +1777,9 @@ 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.
+24
View File
@@ -259,6 +259,30 @@ 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
+3 -7
View File
@@ -401,9 +401,6 @@ 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;
}
@@ -2459,8 +2456,7 @@ 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 &&
ob_type != BasisType::IntegratedGLL)
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid)
{
const char *ob_name = BasisType::Name(ob_type); // this may abort
MFEM_ABORT("unknown open BasisType: " << ob_name);
@@ -2518,6 +2514,7 @@ 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)) ==
@@ -2786,8 +2783,7 @@ 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 &&
ob_type != BasisType::IntegratedGLL)
if (Quadrature1D::CheckOpen(op_type) == Quadrature1D::Invalid)
{
const char *ob_name = BasisType::Name(ob_type);
MFEM_ABORT("Invalid open basis point type: " << ob_name);
+14
View File
@@ -464,6 +464,13 @@ 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
@@ -475,6 +482,13 @@ 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.
+1 -1
View File
@@ -224,7 +224,7 @@ struct DerefineMatrixOpMultFunctor
sum += sign * bsptr[boptr[k] + i + j * block_height] *
xptr[this->IndexX(col, vdim, k)];
}
#if defined(__CUDA_ARCH__) or defined(__HIP_DEVICE_COMPILE__)
#if defined(__CUDA_ARCH__) || defined(__HIP_DEVICE_COMPILE__)
if (Atomic)
{
atomicAdd(yptr + this->IndexY(row, vdim), sum);
+9 -2
View File
@@ -683,8 +683,12 @@ public:
NURBSExtension *GetNURBSext() { return NURBSext; }
NURBSExtension *StealNURBSext();
bool Conforming() const { return mesh->Conforming() && cP == NULL; }
bool Nonconforming() const { return mesh->Nonconforming() || cP != NULL; }
bool Conforming() const
{
return NURBSext != NULL ||
(mesh->Conforming() && cP == NULL);
}
bool Nonconforming() const { return !Conforming(); }
/** Set the prolongation operator of the space to an arbitrary sparse matrix,
creating a copy of the argument. */
@@ -922,6 +926,9 @@ 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); }
+46 -2
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() &&
if (fes->Nonconforming() && fes->GetMesh()->ncmesh &&
fes->GetMesh()->ncmesh->IsLegacyLoaded())
{
LegacyNCReorder();
@@ -1374,6 +1374,50 @@ 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;
@@ -2624,7 +2668,7 @@ void GridFunction::ProjectBdrCoefficient(Coefficient *coeff[],
}
for (int i = 0; i < values_counter.Size(); i++)
{
MFEM_ASSERT(bool(values_counter[i]) == ess_vdofs_marker[i],
MFEM_ASSERT(bool(values_counter[i]) == bool(ess_vdofs_marker[i]),
"internal error");
}
#endif
+31 -2
View File
@@ -153,7 +153,8 @@ public:
/// Shortcut for calling SetFromTrueDofs() with GetTrueVector() as argument.
void SetFromTrueVector() { SetFromTrueDofs(GetTrueVector()); }
/// Returns the values in the vertices of i'th element for dimension vdim.
/** @brief Returns the values at the vertices of element @a i for the 1-based
dimension vdim. */
void GetNodalValues(int i, Array<real_t> &nval, int vdim = 1) const;
/** @name Element index Get Value Methods
@@ -308,7 +309,8 @@ public:
/// For a vector grid function, makes sure that the ordering is byNODES.
void ReorderByNodes();
/// Return the values as a vector on mesh vertices for dimension vdim.
/** @brief Returns the values as a vector at mesh vertices, for the 1-based
dimension vdim. */
void GetNodalValues(Vector &nval, int vdim = 1) const;
void GetVectorFieldNodalValues(Vector &val, int comp) const;
@@ -359,6 +361,33 @@ 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. */
+154 -128
View File
@@ -85,9 +85,9 @@ namespace mfem
{
FindPointsGSLIB::FindPointsGSLIB()
: mesh(NULL),
fec_map_lin(NULL),
fdataD(NULL), cr(NULL), gsl_comm(NULL),
: mesh(nullptr),
fec_map_lin(nullptr),
fdataD(nullptr), cr(nullptr), gsl_comm(nullptr),
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] = NULL;
ir_split[i] = NULL;
fes_rst_map[i] = NULL;
gf_rst_map[i] = NULL;
mesh_split[i] = nullptr;
ir_split[i] = nullptr;
fes_rst_map[i] = nullptr;
gf_rst_map[i] = nullptr;
}
gsl_comm = new gslib::comm;
@@ -117,27 +117,40 @@ 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()
{
crystal_free(cr);
comm_free(gsl_comm);
delete gsl_comm;
delete cr;
for (int i = 0; i < 4; i++)
FreeData();
#ifdef MFEM_USE_MPI
if (!Mpi::IsFinalized()) // currently segfaults inside gslib otherwise
#endif
{
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; }
crystal_free(cr);
comm_free(gsl_comm);
delete gsl_comm;
delete cr;
}
if (fec_map_lin) { delete fec_map_lin; fec_map_lin = 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; }
}
#ifdef MFEM_USE_MPI
FindPointsGSLIB::FindPointsGSLIB(MPI_Comm comm_)
: mesh(NULL),
fec_map_lin(NULL),
fdataD(NULL), cr(NULL), gsl_comm(NULL),
: mesh(nullptr),
fec_map_lin(nullptr),
fdataD(nullptr), cr(nullptr), gsl_comm(nullptr),
dim(-1), points_cnt(-1), setupflag(false), default_interp_value(0),
avgtype(AvgType::ARITHMETIC), bdr_tol(1e-8)
{
@@ -147,10 +160,10 @@ FindPointsGSLIB::FindPointsGSLIB(MPI_Comm comm_)
gf_rst_map.SetSize(4);
for (int i = 0; i < mesh_split.Size(); i++)
{
mesh_split[i] = NULL;
ir_split[i] = NULL;
fes_rst_map[i] = NULL;
gf_rst_map[i] = NULL;
mesh_split[i] = nullptr;
ir_split[i] = nullptr;
fes_rst_map[i] = nullptr;
gf_rst_map[i] = nullptr;
}
gsl_comm = new gslib::comm;
@@ -158,12 +171,21 @@ 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
@@ -171,37 +193,9 @@ void FindPointsGSLIB::Setup(Mesh &m, const double bb_t, const double newt_tol,
mesh = &m;
dim = mesh->Dimension();
unsigned dof1D = meshOrder + 1;
const unsigned int dof1D = meshOrder+1;
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);
}
SetupSplitMeshesAndIntegrationRules(meshOrder);
GetNodalValues(mesh->GetNodes(), gsl_mesh);
@@ -1128,13 +1122,18 @@ void FindPointsGSLIB::Interpolate(Mesh &m, const Vector &point_pos,
void FindPointsGSLIB::FreeData()
{
if (!setupflag) { return; }
if (dim == 2)
#ifdef MFEM_USE_MPI
if (!Mpi::IsFinalized()) // currently segfaults inside gslib otherwise
#endif
{
findpts_free_2((gslib::findpts_data_2 *)this->fdataD);
}
else
{
findpts_free_3((gslib::findpts_data_3 *)this->fdataD);
if (dim == 2)
{
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();
@@ -1158,8 +1157,8 @@ void FindPointsGSLIB::FreeData()
void FindPointsGSLIB::SetupSplitMeshes()
{
fec_map_lin = new H1_FECollection(1, dim);
if (mesh->Dimension() == 2)
if (fec_map_lin == nullptr) { fec_map_lin = new H1_FECollection(1, dim); }
if (dim == 2)
{
int Nvert = 7;
int NEsplit = 3;
@@ -1201,7 +1200,7 @@ void FindPointsGSLIB::SetupSplitMeshes()
mesh_split[1] = new Mesh(Mesh::MakeCartesian2D(1, 1,
Element::QUADRILATERAL));
}
else if (mesh->Dimension() == 3)
else if (dim == 3)
{
mesh_split[0] = new Mesh(Mesh::MakeCartesian3D(1, 1, 1,
Element::HEXAHEDRON));
@@ -1346,41 +1345,6 @@ 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,
@@ -1431,6 +1395,79 @@ 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)
{
@@ -2081,6 +2118,19 @@ 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)
@@ -2386,6 +2436,10 @@ 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(); }
@@ -2395,35 +2449,7 @@ void OversetFindPointsGSLIB::Setup(Mesh &m, const int meshid,
const FiniteElement *fe = mesh->GetNodalFESpace()->GetTypicalFE();
unsigned dof1D = fe->GetOrder() + 1;
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);
}
SetupSplitMeshesAndIntegrationRules(meshOrder);
GetNodalValues(mesh->GetNodes(), gsl_mesh);
@@ -2480,7 +2506,7 @@ void OversetFindPointsGSLIB::FindPoints(const Vector &point_pos,
{
MFEM_VERIFY(setupflag, "Use OversetFindPointsGSLIB::Setup before "
"finding points.");
MFEM_VERIFY(overset, "Please setup FindPoints for overlapping grids.");
MFEM_VERIFY(overset, "Please use OversetFindPoints 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
+28 -3
View File
@@ -13,7 +13,11 @@
#define MFEM_GSLIB
#include "../config/config.hpp"
#ifdef MFEM_USE_MPI
#include "pgridfunc.hpp"
#else
#include "gridfunc.hpp"
#endif
#ifdef MFEM_USE_GSLIB
@@ -131,6 +135,10 @@ 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);
@@ -190,14 +198,23 @@ 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.
@@ -212,8 +229,8 @@ 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
@@ -289,7 +306,12 @@ 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. */
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.
*/
virtual void FreeData();
/// Return code for each point searched by FindPoints: inside element (0), on
@@ -312,6 +334,9 @@ 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.
+348 -35
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 = el2.GetDof();
const int dof2 = (Tr.Elem2No >= 0)?(el2.GetDof()):(0);
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
@@ -219,7 +219,9 @@ void HyperbolicFormIntegrator::AssembleFaceVector(
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int order = 2*std::max(el1.GetOrder(), el2.GetOrder()) + IntOrderOffset;
const int max_el_order = dof2 ? std::max(el1.GetOrder(),
el2.GetOrder()) : el1.GetOrder();
const int order = 2*max_el_order + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
@@ -231,18 +233,22 @@ 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);
elfun2_mat.MultTranspose(shape2, state2);
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);
}
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -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;
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
}
else
{
@@ -250,14 +256,18 @@ 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 = numFlux.Eval(state1, state2, nor, Tr, fluxN);
const real_t speed = (dof2) ? numFlux.Eval(state1, state2, nor, Tr, fluxN):
fluxFunction.ComputeFluxDotN(state1, 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);
AddMult_a_VWt(+ip.weight*sign, shape2, fluxN, elvect2_mat);
if (dof2)
{
AddMult_a_VWt(+ip.weight*sign, shape2, fluxN, elvect2_mat);
}
}
}
@@ -268,7 +278,7 @@ 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 = el2.GetDof();
const int dof2 = (Tr.Elem2No >= 0)?(el2.GetDof()):(0);
#ifdef MFEM_THREAD_SAFE
// Local storage for element integration
@@ -302,7 +312,9 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
const IntegrationRule *ir = IntRule;
if (!ir)
{
const int order = 2*std::max(el1.GetOrder(), el2.GetOrder()) + IntOrderOffset;
const int max_el_order = dof2 ? std::max(el1.GetOrder(),
el2.GetOrder()) : el1.GetOrder();
const int order = 2*max_el_order + IntOrderOffset;
ir = &IntRules.Get(Tr.GetGeometryType(), order);
}
// loop over integration points
@@ -312,20 +324,25 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
Tr.SetAllIntPoints(&ip); // set face and element int. points
// Calculate basis functions on both elements at the face
// Calculate basis functions of the first element at the face
el1.CalcShape(Tr.GetElement1IntPoint(), shape1);
el2.CalcShape(Tr.GetElement2IntPoint(), shape2);
// Interpolate elfun at the point
elfun1_mat.MultTranspose(shape1, state1);
elfun2_mat.MultTranspose(shape2, state2);
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);
}
// Get the normal vector and the flux on the face
if (nor.Size() == 1) // if 1D, use 1 or -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;
nor(0) = 2*Tr.GetElement1IntPoint().x - 1.;
}
else
{
@@ -335,7 +352,14 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
// Trial side 1
// Compute hat(J) using evaluated quantities
numFlux.Grad(1, state1, state2, nor, Tr, JDotN);
if (dof2)
{
numFlux.Grad(1, state1, state2, nor, Tr, JDotN);
}
else
{
fluxFunction.ComputeFluxJacobianDotN(state1, nor, Tr, JDotN);
}
const int ioff = fluxFunction.num_equations * dof1;
@@ -360,36 +384,325 @@ void HyperbolicFormIntegrator::AssembleFaceGrad(
}
}
// Trial side 2
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);
}
// Compute hat(J) using evaluated quantities
numFlux.Grad(2, state1, state2, nor, Tr, JDotN);
const int joff = ioff;
numFlux.Grad(1, state_in, state_out, nor, Tr, JDotN);
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++)
const real_t w = -ip.weight * sign * JDotN(di,dj);
for (int j = 0; j < dof; j++)
for (int i = 0; i < dof; i++)
{
elmat(i+dof1*di, joff+j+dof2*dj) += w * shape1(i) * shape2(j);
elmat(i+dof*di, j+dof*dj) += w * shape(i) * shape(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,
+188 -16
View File
@@ -306,12 +306,14 @@ 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
@@ -331,8 +333,9 @@ private:
public:
const int num_equations; // the number of equations
/**
* @brief Construct a new Hyperbolic Form Integrator object
* @brief Construct a new HyperbolicFormIntegrator object
*
* @param[in] numFlux numerical flux
* @param[in] IntOrderOffset integration order offset
@@ -343,21 +346,14 @@ public:
const int IntOrderOffset = 0,
const real_t sign = 1.);
/**
* @brief Reset the Max Char Speed 0
*
*/
void ResetMaxCharSpeed()
{
max_char_speed = 0.0;
}
/// Reset the maximum characteristic speed to zero
void ResetMaxCharSpeed() { max_char_speed = 0.0; }
real_t GetMaxCharSpeed()
{
return max_char_speed;
}
/// Get the maximum characteristic speed
real_t GetMaxCharSpeed() const { return max_char_speed; }
const FluxFunction &GetFluxFunction() { return fluxFunction; }
/// Get the associated flux function
const FluxFunction &GetFluxFunction() const { return fluxFunction; }
/**
* @brief Implements (F(u), v) with abstract F computed by
@@ -416,6 +412,182 @@ 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
+89 -174
View File
@@ -15,6 +15,86 @@
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
@@ -77,129 +157,16 @@ void CurlCurlIntegrator::AssemblePA(const FiniteElementSpace &fes)
void CurlCurlIntegrator::AssembleDiagonalPA(Vector& 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!");
}
DiagonalPAKernels::Run(dim, dofs1D, quad1D, dofs1D, quad1D, symmetric, ne,
mapsO->B, mapsC->B, mapsO->G, mapsC->G, pa_data,
diag);
}
void CurlCurlIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
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!");
}
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);
}
void CurlCurlIntegrator::AddAbsMultPA(const Vector &x, Vector &y) const
@@ -209,61 +176,9 @@ void CurlCurlIntegrator::AddAbsMultPA(const Vector &x, Vector &y) const
auto absO = mapsO->Abs();
auto absC = mapsC->Abs();
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!");
}
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);
}
} // namespace mfem
@@ -0,0 +1,500 @@
// 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
+163 -591
View File
@@ -11,42 +11,39 @@
#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"
using namespace std;
#include "bilininteg_dgdiffusion_kernels.hpp"
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();
@@ -56,7 +53,7 @@ static void PADGDiffusionSetup2D(const int Q1D,
// (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)};
@@ -74,7 +71,7 @@ static void PADGDiffusionSetup2D(const int Q1D,
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;
@@ -85,17 +82,19 @@ static void PADGDiffusionSetup2D(const int Q1D,
// 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;
@@ -104,9 +103,9 @@ static void PADGDiffusionSetup2D(const int Q1D,
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;
}
@@ -122,47 +121,43 @@ static void PADGDiffusionSetup2D(const int Q1D,
});
}
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];
@@ -172,10 +167,7 @@ static void PADGDiffusionSetup3D(const int Q1D,
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)
{
@@ -200,16 +192,16 @@ static void PADGDiffusionSetup3D(const int Q1D,
{
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;
@@ -217,27 +209,45 @@ static void PADGDiffusionSetup3D(const int Q1D,
// *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;
@@ -257,7 +267,8 @@ static void PADGDiffusionSetup3D(const int Q1D,
}
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();
@@ -326,8 +337,7 @@ 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)
{
@@ -386,17 +396,19 @@ inline void SignedFaceNormalPermutation(int perm[3],
}
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)
@@ -408,9 +420,9 @@ 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);
@@ -421,16 +433,17 @@ 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
{
@@ -448,8 +461,8 @@ 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);
@@ -458,16 +471,17 @@ 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;
@@ -476,8 +490,8 @@ 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;
@@ -489,9 +503,18 @@ 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)
@@ -501,14 +524,16 @@ 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);
}
}
@@ -524,529 +549,76 @@ void DGDiffusionIntegrator::AssemblePABoundaryFaces(
SetupPA(fes, FaceType::Boundary);
}
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)
void DGDiffusionIntegrator::AddMultPAFaceNormalDerivatives(const Vector &x,
const Vector &dxdn,
Vector &y,
Vector &dydn) const
{
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
ApplyPAKernels::Run(dim, dofs1D, quad1D, nf, maps->B, maps->Bt, maps->G,
maps->Gt, sigma, pa_data, x, dxdn, y, dydn, dofs1D,
quad1D);
}
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)
DGDiffusionIntegrator::DGDiffusionIntegrator(const real_t s, const real_t k)
: sigma(s), kappa(k)
{
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];
}
}
}
});
static Kernels kernels;
}
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)
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)
{
if (dim == 2)
{
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);
return internal::PADGDiffusionApply2D;
}
else if (dim == 3)
{
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);
return internal::PADGDiffusionApply3D;
}
else
{
MFEM_ABORT("Unsupported dimension");
MFEM_ABORT("");
}
}
void DGDiffusionIntegrator::AddMultPAFaceNormalDerivatives(
const Vector &x, const Vector &dxdn, Vector &y, Vector &dydn) const
DGDiffusionIntegrator::Kernels::Kernels()
{
PADGDiffusionApply(dim, dofs1D, quad1D, nf,
maps->B, maps->Bt, maps->G, maps->Gt,
sigma, pa_data, x, dxdn, y, dydn);
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>();
}
/// \endcond DO_NOT_DOCUMENT
} // namespace mfem
+793
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@@ -0,0 +1,793 @@
// 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
+26 -2
View File
@@ -19,6 +19,8 @@ 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>();
@@ -27,17 +29,39 @@ 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
+11 -11
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][MD1][MQ1];
MFEM_SHARED real_t GQ[2][NBZ][MQ1][MQ1];
real_t (*X)[MD1] = (real_t (*)[MD1])(Xz + 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);
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);
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
@@ -1221,9 +1221,9 @@ using DiagonalKernelType = DiffusionIntegrator::DiagonalKernelType;
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Kernel()
{
if (DIM == 2) { return internal::SmemPADiffusionApply2D<T_D1D,T_Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionApply3D<T_D1D, T_Q1D>; }
else { MFEM_ABORT(""); }
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("");
}
inline
@@ -1237,9 +1237,9 @@ ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
template<int DIM, int D1D, int Q1D>
DiagonalKernelType DiffusionIntegrator::DiagonalPAKernels::Kernel()
{
if (DIM == 2) { return internal::SmemPADiffusionDiagonal2D<D1D,Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionDiagonal3D<D1D, Q1D>; }
else { MFEM_ABORT(""); }
if constexpr (DIM == 2) { return internal::SmemPADiffusionDiagonal2D<D1D,Q1D>; }
else if constexpr (DIM == 3) { return internal::SmemPADiffusionDiagonal3D<D1D, Q1D>; }
MFEM_ABORT("");
}
inline DiagonalKernelType
+9 -16
View File
@@ -599,13 +599,11 @@ void PACurlCurlSetup3D(const int Q1D,
});
}
void PACurlCurlAssembleDiagonal2D(const int D1D,
const int Q1D,
const int NE,
const Array<real_t> &bo,
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> &,
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);
@@ -653,16 +651,11 @@ void PACurlCurlAssembleDiagonal2D(const int D1D,
}); // end of element loop
}
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,
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,
const bool useAbs)
{
+50 -1
View File
@@ -24,7 +24,7 @@
namespace mfem
{
/// \cond DO_NOT_DOCUMENT
namespace internal
{
@@ -426,8 +426,11 @@ 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);
@@ -831,9 +834,12 @@ 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,
@@ -3158,6 +3164,49 @@ 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
@@ -19,6 +19,7 @@
#include "../../linalg/vector.hpp"
#include "../bilininteg.hpp"
/// \cond DO_NOT_DOCUMENT
namespace mfem
{
@@ -819,4 +820,6 @@ inline void PAHcurlHdivApplyTranspose3D(const int d1d,
} // namespace mfem
/// \endcond DO_NOT_DOCUMENT
#endif
+32 -2
View File
@@ -17,6 +17,8 @@ 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>();
@@ -25,17 +27,45 @@ 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
+8 -8
View File
@@ -1392,10 +1392,10 @@ using DiagonalKernelType = MassIntegrator::DiagonalKernelType;
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
{
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(""); }
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("");
}
inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
@@ -1410,10 +1410,10 @@ inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
template<int DIM, int T_D1D, int T_Q1D>
DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
{
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(""); }
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("");
}
inline DiagonalKernelType MassIntegrator::DiagonalPAKernels::Fallback(
@@ -0,0 +1,355 @@
// 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
+71 -336
View File
@@ -15,9 +15,58 @@
#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,
@@ -425,322 +474,6 @@ 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
{
@@ -757,27 +490,29 @@ 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;
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.");
ApplyPAKernels::Run(dim, sdim, D1D, Q1D, ne, B, G, Bt, Gt, D, x, y, D1D,
Q1D, sdim);
}
}
/// \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
+55 -204
View File
@@ -9,183 +9,19 @@
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "../../general/forall.hpp"
#include "../../fem/kernels.hpp"
#include "../../general/forall.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();
@@ -197,50 +33,20 @@ 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 int *M = markers.Read();
const real_t *B = maps.B.Read();
const int *M = markers.Read();
const real_t *detJ = geom->detJ.Read();
const real_t *W = ir->GetWeights().Read();
real_t *Y = y.ReadWrite();
ker(vdim, ne, d, q, map_type, M, B, detJ, W, coeff, Y);
DomainLFIntegrator::AssembleKernels::Run(dim, d, q, 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;
@@ -266,4 +72,49 @@ 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
@@ -0,0 +1,318 @@
// 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
@@ -947,6 +947,7 @@ int Quadrature1D::CheckOpen(int type)
case OpenUniform:
case ClosedUniform:
case OpenHalfUniform:
case ClosedGL:
return type; // all types can work as open
default:
return Invalid;
+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 MFEM_EXPORT KernelSignature Kernel(); \
template <MFEM_PARAM_LIST P3> static KernelSignature Kernel(); \
static MFEM_EXPORT KernelSignature Fallback(MFEM_PARAM_LIST P1); \
static MFEM_EXPORT KernelName &Get() { \
static KernelName table; \
+20
View File
@@ -35,6 +35,19 @@ 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)
@@ -266,6 +279,13 @@ 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)
{
+32 -11
View File
@@ -18,6 +18,8 @@
#include <random>
#include "integrator.hpp"
#include "kernel_dispatch.hpp"
namespace mfem
{
@@ -109,14 +111,12 @@ class DomainLFIntegrator : public DeltaLFIntegrator
int oa, ob;
public:
/// Constructs a domain integrator with a given Coefficient
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) { }
/// 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);
/// Constructs a domain integrator with a given Coefficient
DomainLFIntegrator(Coefficient &QF, const IntegrationRule *ir)
: DeltaLFIntegrator(QF, ir), Q(QF), oa(1), ob(1) { }
DomainLFIntegrator(Coefficient &QF, const IntegrationRule *ir);
bool SupportsDevice() const override { return true; }
@@ -136,6 +136,22 @@ 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) $
@@ -256,14 +272,13 @@ private:
public:
/// Constructs a domain integrator with a given VectorCoefficient
VectorDomainLFIntegrator(VectorCoefficient &QF)
: DeltaLFIntegrator(QF), Q(QF) { }
VectorDomainLFIntegrator(VectorCoefficient &QF,
const IntegrationRule *ir = nullptr);
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)
@@ -277,6 +292,12 @@ 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
@@ -544,7 +565,7 @@ 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
+264 -22
View File
@@ -14,9 +14,11 @@
#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"
@@ -54,17 +56,18 @@ bool BatchedLORAssembly::FormIsSupported(BilinearForm &a)
// Batched LOR requires all tensor elements
if (!UsesTensorBasis(*a.FESpace())) { return false; }
if (dynamic_cast<const H1_FECollection*>(fec))
if (dynamic_cast<const H1_FECollection*>(fec) ||
dynamic_cast<const DG_FECollection*>(fec))
{
if (HasIntegrators<DiffusionIntegrator, MassIntegrator>(a)) { return true; }
return HasIntegrators<DiffusionIntegrator, MassIntegrator>(a);
}
else if (dynamic_cast<const ND_FECollection*>(fec))
{
if (HasIntegrators<CurlCurlIntegrator, VectorFEMassIntegrator>(a)) { return true; }
return HasIntegrators<CurlCurlIntegrator, VectorFEMassIntegrator>(a);
}
else if (dynamic_cast<const RT_FECollection*>(fec))
{
if (HasIntegrators<DivDivIntegrator, VectorFEMassIntegrator>(a)) { return true; }
return HasIntegrators<DivDivIntegrator, VectorFEMassIntegrator>(a);
}
return false;
}
@@ -75,12 +78,14 @@ 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 = order + 1;
const int nd1d = dg ? order + 2 : order + 1;
const int ndof_per_el = static_cast<int>(pow(nd1d, dim));
const GridFunction *nodal_gf = mesh_ho.GetNodes();
@@ -92,7 +97,8 @@ void BatchedLORAssembly::FormLORVertexCoordinates(FiniteElementSpace &fes_ho,
Vector nodal_evec(nodal_restriction->Height());
nodal_restriction->Mult(*nodal_gf, nodal_evec);
IntegrationRule ir = GetCollocatedIntRule(fes_ho);
const IntegrationRule ir = GetLobattoIntRule(
mesh_ho.GetTypicalElementGeometry(), nd1d);
// Map from nodal E-vector to Q-vector at the LOR vertex points
X_vert.SetSize(sdim*ndof_per_el*nel_ho);
@@ -159,6 +165,7 @@ 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; });
@@ -358,6 +365,177 @@ 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
{
const int nvdof = fes_ho.GetVSize();
@@ -372,12 +550,11 @@ void BatchedLORAssembly::SparseIJToCSR(OperatorHandle &A) const
}
A_mat->OverrideSize(nvdof, nvdof);
EnsureCapacity(A_mat->GetMemoryI(), nvdof + 1);
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());
const int nnz = FillI(*A_mat);
EnsureCapacity(A_mat->GetMemoryJ(), nnz);
EnsureCapacity(A_mat->GetMemoryData(), nnz);
FillJAndData(*A_mat);
}
@@ -431,6 +608,19 @@ 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))
@@ -453,10 +643,47 @@ void BatchedLORAssembly::AssembleWithoutBC(BilinearForm &a, OperatorHandle &A)
}
}
return SparseIJToCSR(A);
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)
{
@@ -464,13 +691,18 @@ void BatchedLORAssembly::ParAssemble(
OperatorHandle A_local;
AssembleWithoutBC(a, A_local);
ParBilinearForm *pa =
dynamic_cast<ParBilinearForm*>(&a);
pa->ParallelRAP(*A_local.As<SparseMatrix>(), A, true);
A.As<HypreParMatrix>()->EliminateBC(ess_dofs,
Operator::DiagonalPolicy::DIAG_ONE);
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);
}
}
#endif
@@ -504,12 +736,22 @@ BatchedLORAssembly::BatchedLORAssembly(FiniteElementSpace &fes_ho_)
FormLORVertexCoordinates(fes_ho, X_vert);
}
IntegrationRule GetCollocatedIntRule(FiniteElementSpace &fes)
IntegrationRule GetLobattoIntRule(Geometry::Type geom, int nd1d)
{
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
+32 -2
View File
@@ -25,6 +25,7 @@ namespace mfem
/// supported, currently:
///
/// - H1 diffusion + mass
/// - DG diffusion + mass (in progress)
/// - ND curl-curl + mass
/// - RT div-div + mass
///
@@ -73,6 +74,9 @@ 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;
@@ -105,6 +109,9 @@ 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);
@@ -128,9 +135,8 @@ 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(BilinearForm &a)
static T *GetIntegrator(Array<BilinearFormIntegrator*> *integs)
{
Array<BilinearFormIntegrator*> *integs = a.GetDBFI();
if (integs != NULL)
{
for (auto *i : *integs)
@@ -144,8 +150,32 @@ static T *GetIntegrator(BilinearForm &a)
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
View File
@@ -0,0 +1,79 @@
// 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
View File
@@ -0,0 +1,392 @@
// 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
+49 -8
View File
@@ -436,7 +436,7 @@ void NonlinearForm::Mult(const Vector &x, Vector &y) const
// In parallel, the result is in 'py' which is an alias for 'aux2'.
}
Operator &NonlinearForm::GetGradient(const Vector &x) const
Operator &NonlinearForm::GetGradient(const Vector &x, bool finalize) const
{
if (ext)
{
@@ -644,6 +644,8 @@ Operator &NonlinearForm::GetGradient(const Vector &x) const
}
}
if (!finalize) { return *Grad; }
if (!Grad->Finalized())
{
Grad->Finalize(skip_zeros);
@@ -788,12 +790,10 @@ BlockNonlinearForm::BlockNonlinearForm(Array<FiniteElementSpace *> &f) :
}
void BlockNonlinearForm::SetEssentialBC(
const Array<Array<int> *> &bdr_attr_is_ess, Array<Vector *> &rhs)
const Array<Array<int>*> &bdr_attr_is_ess, Array<Vector*> &rhs)
{
for (int s = 0; s < fes.Size(); ++s)
{
ess_tdofs[s]->SetSize(ess_tdofs.Size());
fes[s]->GetEssentialTrueDofs(*bdr_attr_is_ess[s], *ess_tdofs[s]);
if (rhs[s])
@@ -803,6 +803,19 @@ void BlockNonlinearForm::SetEssentialBC(
}
}
void BlockNonlinearForm::SetEssentialTrueDofs(
const Array<Array<int>*> &ess_tdof_list, Array<Vector*> &rhs)
{
for (int s = 0; s < fes.Size(); ++s)
{
*ess_tdofs[s] = *ess_tdof_list[s];
if (rhs[s])
{
rhs[s]->SetSubVector(*ess_tdofs[s], 0.0);
}
}
}
real_t BlockNonlinearForm::GetEnergyBlocked(const BlockVector &bx) const
{
Array<Array<int> *> vdofs(fes.Size());
@@ -1192,7 +1205,14 @@ const BlockVector &BlockNonlinearForm::Prolongate(const BlockVector &bx) const
aux1.Update(block_offsets);
for (int s = 0; s < fes.Size(); s++)
{
P[s]->Mult(bx.GetBlock(s), aux1.GetBlock(s));
if (P[s])
{
P[s]->Mult(bx.GetBlock(s), aux1.GetBlock(s));
}
else
{
aux1.GetBlock(s) = bx.GetBlock(s);
}
}
return aux1;
}
@@ -1221,11 +1241,16 @@ void BlockNonlinearForm::Mult(const Vector &x, Vector &y) const
{
cP[s]->MultTranspose(pby.GetBlock(s), by.GetBlock(s));
}
else if (needs_prolongation)
{
by.GetBlock(s) = pby.GetBlock(s);
}
by.GetBlock(s).SetSubVector(*ess_tdofs[s], 0.0);
}
}
void BlockNonlinearForm::ComputeGradientBlocked(const BlockVector &bx) const
void BlockNonlinearForm::ComputeGradientBlocked(const BlockVector &bx,
bool finalize) const
{
const int skip_zeros = 0;
Array<Array<int> *> vdofs(fes.Size());
@@ -1479,7 +1504,7 @@ void BlockNonlinearForm::ComputeGradientBlocked(const BlockVector &bx) const
}
}
if (!Grads(0,0)->Finalized())
if (finalize && !Grads(0,0)->Finalized())
{
for (int i=0; i<fes.Size(); ++i)
{
@@ -1518,7 +1543,23 @@ Operator &BlockNonlinearForm::GetGradient(const Vector &x) const
for (int s2 = 0; s2 < fes.Size(); ++s2)
{
delete cGrads(s1, s2);
cGrads(s1, s2) = RAP(*cP[s1], *Grads(s1, s2), *cP[s2]);
if (cP[s1] && cP[s2])
{
cGrads(s1, s2) = RAP(*cP[s1], *Grads(s1, s2), *cP[s2]);
}
else if (cP[s1])
{
cGrads(s1, s2) = TransposeMult(*cP[s1], *Grads(s1, s2));
}
else if (cP[s2])
{
cGrads(s1, s2) = mfem::Mult(*Grads(s1, s2), *cP[s2]);
}
else
{
cGrads(s1, s2) = NULL;
continue;
}
mGrads(s1, s2) = cGrads(s1, s2);
}
}
+40 -4
View File
@@ -217,7 +217,12 @@ public:
In general, @a x may have non-homogeneous essential boundary values.
The state @a x must be a true-dof vector. */
Operator &GetGradient(const Vector &x) const override;
Operator &GetGradient(const Vector &x) const override { return GetGradient(x, true); }
/** @brief Compute the gradient Operator of the NonlinearForm corresponding
to the state @a x with optional finalization and elimintaion. */
/** @see GetGradient(const Vector &) */
Operator &GetGradient(const Vector &x, bool finalize) const;
/// Update the NonlinearForm to propagate updates of the associated FE space.
/** After calling this method, the essential boundary conditions need to be
@@ -308,7 +313,7 @@ protected:
void MultBlocked(const BlockVector &bx, BlockVector &by) const;
/// Specialized version of GetGradient() for BlockVector
void ComputeGradientBlocked(const BlockVector &bx) const;
void ComputeGradientBlocked(const BlockVector &bx, bool finalize = true) const;
public:
/// Construct an empty BlockNonlinearForm. Initialize with SetSpaces().
@@ -363,8 +368,39 @@ public:
Array<int> &bdr_marker)
{ bfnfi.Append(nlfi); bfnfi_marker.Append(&bdr_marker); }
virtual void SetEssentialBC(const Array<Array<int> *>&bdr_attr_is_ess,
Array<Vector *> &rhs);
/** @brief Set essential boundary conditions to each finite element space
using boundary attribute markers.
This method calls `FiniteElementSpace::GetEssentialTrueDofs()` for each
space and stores ess_tdof_lists internally.
If `rhs` vectors are non-null, the entries corresponding to these
essential DoFs are set to zero. This ensures compatibility with the
output of the `Mult()` method, which also zeroes out these entries.
@param[in] bdr_attr_is_ess A list of boundary attribute markers for each
space.
@param[in,out] rhs An array of optional right-hand side vectors.
If a vector at `rhs[i]` is non-null, its essential DoFs will be set
to zero. */
virtual void SetEssentialBC(const Array<Array<int>*> &bdr_attr_is_ess,
Array<Vector*> &rhs);
/** @brief Set essential boundary conditions to each finite element space
using essential true dof lists.
This method stores a copy of the provided essential true dof lists.
If `rhs` vectors are non-null, the entries corresponding to these
essential DoFs are set to zero. This ensures compatibility with the
output of the `Mult()` method, which also zeroes out these entries.
@param[in] ess_tdof_list A list of essential true dofs for each space.
@param[in,out] rhs An array of optional right-hand side vectors.
If a vector at `rhs[i]` is non-null, its essential DoFs will be set
to zero. */
virtual void SetEssentialTrueDofs(const Array<Array<int>*> &ess_tdof_list,
Array<Vector*> &rhs);
virtual real_t GetEnergy(const Vector &x) const;
+251 -39
View File
@@ -151,6 +151,15 @@ void ParBilinearForm::ParallelRAP(SparseMatrix &loc_A, OperatorHandle &A,
}
}
HypreParMatrix *ParBilinearForm::ParallelAssembleInternalMatrix()
{
if (p_mat.Ptr() == NULL)
{
ParallelAssemble(p_mat, mat);
}
return p_mat.As<HypreParMatrix>();
}
void ParBilinearForm::ParallelAssemble(OperatorHandle &A, SparseMatrix *A_local)
{
A.Clear();
@@ -333,6 +342,15 @@ void ParBilinearForm
A.EliminateRowsCols(dof_list, X, B);
}
void ParBilinearForm::ParallelEliminateEssentialBC(
const Array<int> &bdr_attr_is_ess, const HypreParVector &X, HypreParVector &B)
{
Array<int> dof_list;
pfes->GetEssentialTrueDofs(bdr_attr_is_ess, dof_list);
p_mat.As<HypreParMatrix>()->EliminateRowsCols(dof_list, X, B);
}
HypreParMatrix *ParBilinearForm::
ParallelEliminateEssentialBC(const Array<int> &bdr_attr_is_ess,
HypreParMatrix &A) const
@@ -344,6 +362,26 @@ ParallelEliminateEssentialBC(const Array<int> &bdr_attr_is_ess,
return A.EliminateRowsCols(dof_list);
}
void ParBilinearForm::ParallelEliminateEssentialBC(const Array<int>
&bdr_attr_is_ess)
{
Array<int> tdofs_list;
pfes->GetEssentialTrueDofs(bdr_attr_is_ess, tdofs_list);
ParallelEliminateTDofs(tdofs_list);
}
void ParBilinearForm::ParallelEliminateTDofs(const Array<int> &tdofs_list)
{
p_mat_e.EliminateRowsCols(p_mat, tdofs_list);
}
void ParBilinearForm::ParallelEliminateTDofsInRHS(
const Array<int> &tdofs_list, const Vector &x, Vector &b)
{
p_mat.EliminateBC(p_mat_e, tdofs_list, x, b);
}
void ParBilinearForm::TrueAddMult(const Vector &x, Vector &y, const real_t a)
const
{
@@ -485,7 +523,7 @@ void ParBilinearForm::FormLinearSystem(
HypreParVector true_X(pfes), true_B(pfes);
P.MultTranspose(b, true_B);
R.Mult(x, true_X);
p_mat.EliminateBC(p_mat_e, ess_tdof_list, true_X, true_B);
ParallelEliminateTDofsInRHS(ess_tdof_list, true_X, true_B);
R.MultTranspose(true_B, b);
hybridization->ReduceRHS(true_B, B);
X.SetSize(B.Size());
@@ -498,17 +536,11 @@ void ParBilinearForm::FormLinearSystem(
B.SetSize(X.Size());
P.MultTranspose(b, B);
R.Mult(x, X);
p_mat.EliminateBC(p_mat_e, ess_tdof_list, X, B);
ParallelEliminateTDofsInRHS(ess_tdof_list, X, B);
if (!copy_interior) { X.SetSubVectorComplement(ess_tdof_list, 0.0); }
}
}
void ParBilinearForm::EliminateVDofsInRHS(
const Array<int> &vdofs, const Vector &x, Vector &b)
{
p_mat.EliminateBC(p_mat_e, vdofs, x, b);
}
void ParBilinearForm::FormSystemMatrix(const Array<int> &ess_tdof_list,
OperatorHandle &A)
{
@@ -553,7 +585,7 @@ void ParBilinearForm::FormSystemMatrix(const Array<int> &ess_tdof_list,
mat = NULL;
delete mat_e;
mat_e = NULL;
p_mat_e.EliminateRowsCols(p_mat, ess_tdof_list);
ParallelEliminateTDofs(ess_tdof_list);
}
if (hybridization)
{
@@ -615,36 +647,180 @@ void ParBilinearForm::Update(FiniteElementSpace *nfes)
p_mat_e.Clear();
}
HypreParMatrix *ParMixedBilinearForm::ParallelAssemble()
void ParMixedBilinearForm::pAllocMat()
{
// construct the block-diagonal matrix A
HypreParMatrix *A =
new HypreParMatrix(trial_pfes->GetComm(),
test_pfes->GlobalVSize(),
trial_pfes->GlobalVSize(),
test_pfes->GetDofOffsets(),
trial_pfes->GetDofOffsets(),
mat);
const int trial_nbr_size = trial_pfes->GetFaceNbrVSize();
const int test_nbr_size = test_pfes->GetFaceNbrVSize();
HypreParMatrix *rap = RAP(test_pfes->Dof_TrueDof_Matrix(), A,
trial_pfes->Dof_TrueDof_Matrix());
delete A;
return rap;
if (keep_nbr_block)
{
mat = new SparseMatrix(height + test_nbr_size, width + trial_nbr_size);
}
else
{
mat = new SparseMatrix(height, width + trial_nbr_size);
}
}
void ParMixedBilinearForm::ParallelAssemble(OperatorHandle &A)
void ParMixedBilinearForm::AssembleSharedFaces(int skip_zeros)
{
// construct the rectangular block-diagonal matrix dA
OperatorHandle dA(A.Type());
dA.MakeRectangularBlockDiag(trial_pfes->GetComm(),
test_pfes->GlobalVSize(),
trial_pfes->GlobalVSize(),
test_pfes->GetDofOffsets(),
trial_pfes->GetDofOffsets(),
mat);
ParMesh *pmesh = trial_pfes->GetParMesh();
FaceElementTransformations *T;
Array<int> tr_vdofs1, tr_vdofs2, tr_vdofs_all;
Array<int> te_vdofs1, te_vdofs2, te_vdofs_all;
DenseMatrix elemmat;
int nfaces = pmesh->GetNSharedFaces();
for (int i = 0; i < nfaces; i++)
{
T = pmesh->GetSharedFaceTransformations(i);
int Elem2NbrNo = T->Elem2No - pmesh->GetNE();
trial_pfes->GetElementVDofs(T->Elem1No, tr_vdofs1);
test_pfes->GetElementVDofs(T->Elem1No, te_vdofs1);
trial_pfes->GetFaceNbrElementVDofs(Elem2NbrNo, tr_vdofs2);
test_pfes->GetFaceNbrElementVDofs(Elem2NbrNo, te_vdofs2);
tr_vdofs1.Copy(tr_vdofs_all);
for (int j = 0; j < tr_vdofs2.Size(); j++)
{
if (tr_vdofs2[j] >= 0)
{
tr_vdofs2[j] += width;
}
else
{
tr_vdofs2[j] -= width;
}
}
tr_vdofs_all.Append(tr_vdofs2);
if (keep_nbr_block)
{
te_vdofs1.Copy(te_vdofs_all);
for (int j = 0; j < te_vdofs2.Size(); j++)
{
if (te_vdofs2[j] >= 0)
{
te_vdofs2[j] += height;
}
else
{
te_vdofs2[j] -= height;
}
}
te_vdofs_all.Append(te_vdofs2);
}
for (int k = 0; k < interior_face_integs.Size(); k++)
{
interior_face_integs[k]->
AssembleFaceMatrix(*trial_pfes->GetFE(T->Elem1No),
*test_pfes->GetFE(T->Elem1No),
*trial_pfes->GetFaceNbrFE(Elem2NbrNo),
*test_pfes->GetFaceNbrFE(Elem2NbrNo),
*T, elemmat);
if (keep_nbr_block)
{
mat->AddSubMatrix(te_vdofs_all, tr_vdofs_all, elemmat, skip_zeros);
}
else
{
mat->AddSubMatrix(te_vdofs1, tr_vdofs_all, elemmat, skip_zeros);
}
}
}
}
void ParMixedBilinearForm::Assemble(int skip_zeros)
{
if (interior_face_integs.Size())
{
trial_pfes->ExchangeFaceNbrData();
test_pfes->ExchangeFaceNbrData();
if (!ext && mat == NULL)
{
pAllocMat();
}
}
MixedBilinearForm::Assemble(skip_zeros);
if (!ext && interior_face_integs.Size() > 0)
{
AssembleSharedFaces(skip_zeros);
}
}
HypreParMatrix *ParMixedBilinearForm::ParallelAssembleInternalMatrix()
{
if (p_mat.Ptr() == NULL)
{
ParallelAssemble(p_mat, mat);
}
return p_mat.As<HypreParMatrix>();
}
HypreParMatrix *ParMixedBilinearForm::ParallelAssemble(SparseMatrix *m)
{
OperatorHandle Mh(Operator::Hypre_ParCSR);
ParallelAssemble(Mh, m);
Mh.SetOperatorOwner(false);
return Mh.As<HypreParMatrix>();
}
void ParMixedBilinearForm::ParallelAssemble(OperatorHandle &A,
SparseMatrix *A_local)
{
A.Clear();
if (A_local == NULL) { return; }
MFEM_VERIFY(A_local->Finalized(), "the local matrix must be finalized");
OperatorHandle dA(A.Type()), hdA;
if (interior_face_integs.Size() == 0)
{
// construct the rectangular block-diagonal matrix dA
dA.MakeRectangularBlockDiag(trial_pfes->GetComm(),
test_pfes->GlobalVSize(),
trial_pfes->GlobalVSize(),
test_pfes->GetDofOffsets(),
trial_pfes->GetDofOffsets(),
A_local);
}
else
{
// handle the case when 'a' contains off-diagonal
const int lvrows = test_pfes->GetVSize();
const int lvcols = trial_pfes->GetVSize();
const HYPRE_BigInt *face_nbr_glob_lcol = trial_pfes->GetFaceNbrGlobalDofMap();
const HYPRE_BigInt lcol_offset = trial_pfes->GetMyDofOffset();
Array<HYPRE_BigInt> glob_J(A_local->NumNonZeroElems());
const int *J = A_local->GetJ();
for (int i = 0; i < glob_J.Size(); i++)
{
if (J[i] < lvcols)
{
glob_J[i] = J[i] + lcol_offset;
}
else
{
glob_J[i] = face_nbr_glob_lcol[J[i] - lvcols];
}
}
// TODO - construct dA directly in the A format
hdA.Reset(
new HypreParMatrix(trial_pfes->GetComm(), lvrows, test_pfes->GlobalVSize(),
trial_pfes->GlobalVSize(), A_local->GetI(), glob_J,
A_local->GetData(), test_pfes->GetDofOffsets(),
trial_pfes->GetDofOffsets()));
// - hdA owns the new HypreParMatrix
// - the above constructor copies all input arrays
glob_J.DeleteAll();
dA.ConvertFrom(hdA);
}
OperatorHandle P_test(A.Type()), P_trial(A.Type());
@@ -670,6 +846,44 @@ void ParMixedBilinearForm::TrueAddMult(const Vector &x, Vector &y,
test_pfes->Dof_TrueDof_Matrix()->MultTranspose(a, Yaux, 1.0, y);
}
void ParMixedBilinearForm::ParallelEliminateTrialEssentialBC(
const Array<int> &bdr_attr_is_ess)
{
Array<int> trial_tdof_list;
trial_pfes->GetEssentialTrueDofs(bdr_attr_is_ess, trial_tdof_list);
ParallelEliminateTrialTDofs(trial_tdof_list);
}
void ParMixedBilinearForm::ParallelEliminateTrialTDofs(
const Array<int> &trial_tdof_list)
{
HypreParMatrix *temp = p_mat.As<HypreParMatrix>()->EliminateCols(
trial_tdof_list);
p_mat_e.Reset(temp, true);
}
void ParMixedBilinearForm::ParallelEliminateTrialTDofsInRHS(
const Array<int> &trial_tdof_list, const Vector &x, Vector &b)
{
p_mat_e.As<HypreParMatrix>()->Mult(-1.0, x, 1.0, b);
}
void ParMixedBilinearForm::ParallelEliminateTestEssentialBC(
const Array<int> &bdr_attr_is_ess)
{
Array<int> test_tdof_list;
test_pfes->GetEssentialTrueDofs(bdr_attr_is_ess, test_tdof_list);
ParallelEliminateTestTDofs(test_tdof_list);
}
void ParMixedBilinearForm::ParallelEliminateTestTDofs(
const Array<int> &test_tdof_list)
{
p_mat.As<HypreParMatrix>()->EliminateRows(test_tdof_list);
}
void ParMixedBilinearForm::FormRectangularSystemMatrix(
const Array<int>
&trial_tdof_list,
@@ -690,10 +904,8 @@ void ParMixedBilinearForm::FormRectangularSystemMatrix(
mat = NULL;
delete mat_e;
mat_e = NULL;
HypreParMatrix *temp =
p_mat.As<HypreParMatrix>()->EliminateCols(trial_tdof_list);
p_mat.As<HypreParMatrix>()->EliminateRows(test_tdof_list);
p_mat_e.Reset(temp, true);
ParallelEliminateTrialTDofs(trial_tdof_list);
ParallelEliminateTestTDofs(test_tdof_list);
}
A = p_mat;
@@ -723,7 +935,7 @@ void ParMixedBilinearForm::FormRectangularLinearSystem(
test_P->MultTranspose(b, B);
trial_R->Mult(x, X);
p_mat_e.As<HypreParMatrix>()->Mult(-1.0, X, 1.0, B);
ParallelEliminateTrialTDofsInRHS(trial_tdof_list, X, B);
B.SetSubVector(test_tdof_list, 0.0);
}
+128 -5
View File
@@ -73,7 +73,7 @@ public:
/** When set to true and the ParBilinearForm has interior face integrators,
the local SparseMatrix will include the rows (in addition to the columns)
corresponding to face-neighbor dofs. The default behavior is to disregard
those rows. Must be called before the first Assemble call. */
those rows. Must be called before the first Assemble() call. */
void KeepNbrBlock(bool knb = true) { keep_nbr_block = knb; }
/** @brief Set the operator type id for the parallel matrix/operator when
@@ -101,6 +101,14 @@ public:
diagonal for this case. */
void AssembleDiagonal(Vector &diag) const override;
/// Returns the matrix assembled on the true dofs, i.e. P^t A P.
/** The returned matrix is the internal one, owned by the form. It is not
reassembled if it has been already constructed. If FormSystemMatrix()
has been called before, it is the system matrix with eliminated
essential DOFs, otherwise the parallel matrix is assembled here without
the elimination process. */
HypreParMatrix *ParallelAssembleInternalMatrix();
/// Returns the matrix assembled on the true dofs, i.e. P^t A P.
/** The returned matrix has to be deleted by the caller. */
HypreParMatrix *ParallelAssemble() { return ParallelAssemble(mat); }
@@ -146,6 +154,13 @@ public:
const HypreParVector &X,
HypreParVector &B) const;
/// Eliminate essential boundary DOFs from the parallel system matrix.
/** The array @a bdr_attr_is_ess marks boundary attributes that constitute
the essential part of the boundary. */
void ParallelEliminateEssentialBC(const Array<int> &bdr_attr_is_ess,
const HypreParVector &X,
HypreParVector &B);
/// Eliminate essential boundary DOFs from a parallel assembled matrix @a A.
/** The array @a bdr_attr_is_ess marks boundary attributes that constitute
the essential part of the boundary. The eliminated part is stored in a
@@ -157,6 +172,12 @@ public:
HypreParMatrix *ParallelEliminateEssentialBC(const Array<int> &bdr_attr_is_ess,
HypreParMatrix &A) const;
/// Eliminate essential boundary DOFs from the parallel system matrix.
/** The array @a bdr_attr_is_ess marks boundary attributes that constitute
the essential part of the boundary. This method relies on
ParallelEliminateTDofs(const Array<int> &), see it for details. */
void ParallelEliminateEssentialBC(const Array<int> &bdr_attr_is_ess);
/// Eliminate essential true DOFs from a parallel assembled matrix @a A.
/** Given a list of essential true dofs and the parallel assembled matrix
@a A, eliminate the true dofs from the matrix, storing the eliminated
@@ -169,6 +190,28 @@ public:
HypreParMatrix &A) const
{ return A.EliminateRowsCols(tdofs_list); }
/// Eliminate essential true DOFs from the parallel system matrix.
/** Given a list of essential true dofs, eliminate the true dofs from
the parallel assembled system matrix, storing the eliminated part
internally. This method works in conjunction with
ParallelEliminateTDofsInRHS() and allows elimination of boundary
conditions in multiple right-hand sides. */
void ParallelEliminateTDofs(const Array<int> &tdofs_list);
/** @brief Use the stored eliminated part of the parallel system matrix for
elimination of boundary conditions in the r.h.s. */
/** Given a list of essential true dofs, eliminate the true dofs from the
right-hand side @a b using the solution vector @a x and the previously
stored eliminated part of the parallel assembled system matrix produced
by ParallelEliminateTDofs(const Array<int> &). */
void ParallelEliminateTDofsInRHS(const Array<int> &tdofs, const Vector &x,
Vector &b);
/// @deprecated Use ParallelEliminateTDofsInRHS() instead.
MFEM_DEPRECATED void EliminateVDofsInRHS(const Array<int> &vdofs,
const Vector &x, Vector &b)
{ ParallelEliminateTDofsInRHS(vdofs, x, b); }
/** @brief Compute @a y += @a a (P^t A P) @a x, where @a x and @a y are
vectors on the true dofs. */
void TrueAddMult(const Vector &x, Vector &y, const real_t a = 1.0) const;
@@ -238,8 +281,6 @@ public:
void Update(FiniteElementSpace *nfes = NULL) override;
void EliminateVDofsInRHS(const Array<int> &vdofs, const Vector &x, Vector &b);
virtual ~ParBilinearForm() { }
};
@@ -257,6 +298,13 @@ protected:
/// Matrix and eliminated matrix
OperatorHandle p_mat, p_mat_e;
bool keep_nbr_block;
// Allocate mat - called when (mat == NULL && fbfi.Size() > 0)
void pAllocMat();
void AssembleSharedFaces(int skip_zeros = 1);
private:
/// Copy construction is not supported; body is undefined.
ParMixedBilinearForm(const ParMixedBilinearForm &);
@@ -276,6 +324,7 @@ public:
{
trial_pfes = trial_fes;
test_pfes = test_fes;
keep_nbr_block = false;
}
/** @brief Create a ParMixedBilinearForm on the given FiniteElementSpace%s
@@ -295,15 +344,89 @@ public:
{
trial_pfes = trial_fes;
test_pfes = test_fes;
keep_nbr_block = false;
}
/** When set to true and the ParMixedBilinearForm has interior face
integrators, the local SparseMatrix will include the rows (in addition
to the columns) corresponding to face-neighbor dofs. The default
behavior is to disregard those rows. Must be called before the first
Assemble() call. */
void KeepNbrBlock(bool knb = true) { keep_nbr_block = knb; }
/// Assemble the local matrix
void Assemble(int skip_zeros = 1);
/// Returns the matrix assembled on the true dofs, i.e. P_test^t A P_trial.
HypreParMatrix *ParallelAssemble();
/** The returned matrix is the internal one, owned by the form. It is not
reassembled if it has been already constructed. If
FormRectangularSystemMatrix() has been called before, it is the system
matrix with eliminated essential DOFs, otherwise the parallel matrix is
assembled here without the elimination process. */
HypreParMatrix *ParallelAssembleInternalMatrix();
/// Returns the matrix assembled on the true dofs, i.e. P_test^t A P_trial.
/** The returned matrix has to be deleted by the caller. */
HypreParMatrix *ParallelAssemble() { return ParallelAssemble(mat); }
/** @brief Returns the eliminated matrix assembled on the true dofs, i.e.
P_test^t A_local P_trial. */
/** The returned matrix has to be deleted by the caller. */
HypreParMatrix *ParallelAssembleElim() { return ParallelAssemble(mat_e); }
/** @brief Return the matrix @a m assembled on the true dofs, i.e. P_test^t
A_local P_trial. */
/** The returned matrix has to be deleted by the caller. */
HypreParMatrix *ParallelAssemble(SparseMatrix *m);
/** @brief Returns the matrix assembled on the true dofs, i.e.
@a A = P_test^t A_local P_trial, in the format (type id) specified by
@a A. */
void ParallelAssemble(OperatorHandle &A);
void ParallelAssemble(OperatorHandle &A) { ParallelAssemble(A, mat); }
/** Returns the eliminated matrix assembled on the true dofs, i.e.
@a A_elim = P^t A_elim_local P in the format (type id) specified by @a A.
*/
void ParallelAssembleElim(OperatorHandle &A_elim)
{ ParallelAssemble(A_elim, mat_e); }
/** Returns the matrix @a A_local assembled on the true dofs, i.e.
@a A = P_test^t A_local P_trial in the format (type id) specified by
@a A. */
void ParallelAssemble(OperatorHandle &A, SparseMatrix *A_local);
/// Eliminate essential boundary trial DOFs from the parallel system matrix.
/** The array @a bdr_attr_is_ess marks boundary attributes that constitute
the essential part of the boundary. This method relies on
ParallelEliminateTrialTDofs(const Array<int> &), see it for details. */
void ParallelEliminateTrialEssentialBC(const Array<int> &bdr_attr_is_ess);
/// Eliminate essential trial true DOFs from the parallel system matrix.
/** Given a list of essential trial true dofs, eliminate the trial true dofs
from the parallel assembled system matrix, storing the eliminated part
internally. This method works in conjunction with
ParallelEliminateTrialTDofsInRHS() and allows elimination of boundary
conditions in multiple right-hand sides. */
void ParallelEliminateTrialTDofs(const Array<int> &trial_tdof_list);
/** @brief Use the stored eliminated part of the parallel system matrix for
elimination of boundary conditions in the r.h.s. */
/** Given a list of essential trial true dofs, eliminate the trial true dofs
from the right-hand side @a B using the solution vector @a X and the
previously stored eliminated part of the parallel assembled system
matrix produced by ParallelEliminateTrialTDofs(const Array<int> &). */
void ParallelEliminateTrialTDofsInRHS(const Array<int> &trial_tdof_list,
const Vector &X, Vector &B);
/// Eliminate essential boundary test DOFs from the parallel system matrix.
/** The array @a bdr_attr_is_ess marks boundary attributes that constitute
the essential part of the boundary. */
void ParallelEliminateTestEssentialBC(const Array<int> &bdr_attr_is_ess);
/// Eliminate essential test true DOFs from the parallel system matrix.
/** Given a list of essential test true dofs, eliminate the test true dofs
from the parallel assembled system matrix. */
void ParallelEliminateTestTDofs(const Array<int> &test_tdof_list);
using MixedBilinearForm::FormRectangularSystemMatrix;
using MixedBilinearForm::FormRectangularLinearSystem;
+1 -1
View File
@@ -332,7 +332,7 @@ ParDerefineMatrixOp::ParDerefineMatrixOp(ParFiniteElementSpace &fespace_,
pack_col_idcs.SetSize(send_len);
// memory manager doesn't appear to have a graceful fallback for
// HOST_PINNED if not built with CUDA or HIP
#if defined(MFEM_USE_CUDA) or defined(MFEM_USE_HIP)
#if defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP)
xghost_send.SetSize(send_len * fespace->GetVDim(),
Device::GetGPUAwareMPI() ? MemoryType::DEFAULT
: MemoryType::HOST_PINNED);
+1
View File
@@ -481,6 +481,7 @@ public:
that the number of DOFs is @a ndofs. */
const FiniteElement *GetFaceNbrFE(int i, int ndofs = 0) const;
const FiniteElement *GetFaceNbrFaceFE(int i) const;
const Array<HYPRE_BigInt> &GetFaceNbrGlobalDofMapArray() { return face_nbr_glob_dof_map; }
const HYPRE_BigInt *GetFaceNbrGlobalDofMap() { return face_nbr_glob_dof_map; }
ElementTransformation *GetFaceNbrElementTransformation(int i) const
{ return pmesh->GetFaceNbrElementTransformation(i); }
+424 -44
View File
@@ -105,6 +105,59 @@ const SparseMatrix &ParNonlinearForm::GetLocalGradient(const Vector &x) const
return *Grad;
}
void ParNonlinearForm::GradientSharedFaces(const Vector &x,
int skip_zeros) const
{
ParFiniteElementSpace *pfes = ParFESpace();
ParMesh *pmesh = pfes->GetParMesh();
FaceElementTransformations *T;
Array<int> vdofs1, vdofs2, vdofs_all;
DenseMatrix elemmat;
Vector el_x, nbr_x, face_x;
const Vector &px = Prolongate(x);
ParGridFunction pgf(pfes, const_cast<Vector&>(px), 0);
pgf.ExchangeFaceNbrData();
int nfaces = pmesh->GetNSharedFaces();
for (int i = 0; i < nfaces; i++)
{
T = pmesh->GetSharedFaceTransformations(i);
int Elem2NbrNo = T->Elem2No - pmesh->GetNE();
pfes->GetElementVDofs(T->Elem1No, vdofs1);
pfes->GetFaceNbrElementVDofs(Elem2NbrNo, vdofs2);
face_x.SetSize(vdofs1.Size() + vdofs2.Size());
el_x.MakeRef(face_x, 0, vdofs1.Size());
pgf.GetSubVector(vdofs1, el_x);
nbr_x.MakeRef(face_x, vdofs1.Size(), vdofs2.Size());
pgf.FaceNbrData().GetSubVector(vdofs2, nbr_x);
vdofs1.Copy(vdofs_all);
for (int j = 0; j < vdofs2.Size(); j++)
{
if (vdofs2[j] >= 0)
{
vdofs2[j] += height;
}
else
{
vdofs2[j] -= height;
}
}
vdofs_all.Append(vdofs2);
for (int k = 0; k < fnfi.Size(); k++)
{
fnfi[k]->AssembleFaceGrad(*pfes->GetFE(T->Elem1No),
*pfes->GetFaceNbrFE(Elem2NbrNo),
*T, face_x, elemmat);
Grad->AddSubMatrix(vdofs1, vdofs_all, elemmat, skip_zeros);
}
}
}
Operator &ParNonlinearForm::GetGradient(const Vector &x) const
{
if (NonlinearForm::ext) { return NonlinearForm::GetGradient(x); }
@@ -112,19 +165,61 @@ Operator &ParNonlinearForm::GetGradient(const Vector &x) const
ParFiniteElementSpace *pfes = ParFESpace();
pGrad.Clear();
OperatorHandle dA(pGrad.Type()), Ph(pGrad.Type()), hdA;
NonlinearForm::GetGradient(x); // (re)assemble Grad, no b.c.
OperatorHandle dA(pGrad.Type()), Ph(pGrad.Type());
if (fnfi.Size() == 0)
if (fnfi.Size())
{
dA.MakeSquareBlockDiag(pfes->GetComm(), pfes->GlobalVSize(),
pfes->GetDofOffsets(), Grad);
const int skip_zeros = 0;
pfes->ExchangeFaceNbrData();
if (Grad == NULL)
{
int nbr_size = pfes->GetFaceNbrVSize();
Grad = new SparseMatrix(pfes->GetVSize(), pfes->GetVSize() + nbr_size);
}
NonlinearForm::GetGradient(x, false); // (re)assemble Grad, no b.c.
GradientSharedFaces(x, skip_zeros);
Grad->Finalize(skip_zeros);
// handle the case when 'a' contains off-diagonal
int lvsize = pfes->GetVSize();
const HYPRE_BigInt *face_nbr_glob_ldof = pfes->GetFaceNbrGlobalDofMap();
HYPRE_BigInt ldof_offset = pfes->GetMyDofOffset();
Array<HYPRE_BigInt> glob_J(Grad->NumNonZeroElems());
int *J = Grad->GetJ();
for (int i = 0; i < glob_J.Size(); i++)
{
if (J[i] < lvsize)
{
glob_J[i] = J[i] + ldof_offset;
}
else
{
glob_J[i] = face_nbr_glob_ldof[J[i] - lvsize];
}
}
// TODO - construct dA directly in the A format
hdA.Reset(
new HypreParMatrix(pfes->GetComm(), lvsize, pfes->GlobalVSize(),
pfes->GlobalVSize(), Grad->GetI(), glob_J,
Grad->GetData(), pfes->GetDofOffsets(),
pfes->GetDofOffsets()));
// - hdA owns the new HypreParMatrix
// - the above constructor copies all input arrays
glob_J.DeleteAll();
dA.ConvertFrom(hdA);
}
else
{
MFEM_ABORT("TODO: assemble contributions from shared face terms");
NonlinearForm::GetGradient(x); // (re)assemble Grad, no b.c.
dA.MakeSquareBlockDiag(pfes->GetComm(), pfes->GlobalVSize(),
pfes->GetDofOffsets(), Grad);
}
// RAP the local gradient dA.
@@ -199,9 +294,8 @@ const ParFiniteElementSpace *ParBlockNonlinearForm::ParFESpace(int k) const
}
// Here, rhs is a true dof vector
void ParBlockNonlinearForm::SetEssentialBC(const
Array<Array<int> *>&bdr_attr_is_ess,
Array<Vector *> &rhs)
void ParBlockNonlinearForm::SetEssentialBC(
const Array<Array<int>*> &bdr_attr_is_ess, Array<Vector*> &rhs)
{
Array<Vector *> nullarray(fes.Size());
nullarray = NULL;
@@ -217,6 +311,23 @@ void ParBlockNonlinearForm::SetEssentialBC(const
}
}
void ParBlockNonlinearForm::SetEssentialTrueDofs(
const Array<Array<int>*> &ess_tdof_list, Array<Vector*> &rhs)
{
Array<Vector *> nullarray(fes.Size());
nullarray = nullptr;
BlockNonlinearForm::SetEssentialTrueDofs(ess_tdof_list, nullarray);
for (int s = 0; s < fes.Size(); ++s)
{
if (rhs[s])
{
rhs[s]->SetSubVector(*ess_tdofs[s], 0.0);
}
}
}
real_t ParBlockNonlinearForm::GetEnergy(const Vector &x) const
{
// xs_true is not modified, so const_cast is okay
@@ -255,7 +366,70 @@ void ParBlockNonlinearForm::Mult(const Vector &x, Vector &y) const
if (fnfi.Size() > 0)
{
MFEM_ABORT("TODO: assemble contributions from shared face terms");
// Terms over shared interior faces in parallel.
ParMesh *pmesh = ParFESpace(0)->GetParMesh();
FaceElementTransformations *tr;
Array<Array<int> *>vdofs(fes.Size());
Array<Array<int> *>vdofs2(fes.Size());
Array<Vector *> el_x(fes.Size());
Array<const Vector *> el_x_const(fes.Size());
Array<Vector *> el_y(fes.Size());
Array<const FiniteElement *> fe(fes.Size());
Array<const FiniteElement *> fe2(fes.Size());
Array<ParGridFunction *> pgfs(fes.Size());
for (int s=0; s<fes.Size(); ++s)
{
el_x_const[s] = el_x[s] = new Vector();
el_y[s] = new Vector();
vdofs[s] = new Array<int>;
vdofs2[s] = new Array<int>;
pgfs[s] = new ParGridFunction(const_cast<ParFiniteElementSpace*>(ParFESpace(s)),
xs.GetBlock(s));
pgfs[s]->ExchangeFaceNbrData();
}
const int n_shared_faces = pmesh->GetNSharedFaces();
for (int i = 0; i < n_shared_faces; i++)
{
tr = pmesh->GetSharedFaceTransformations(i, true);
int Elem2NbrNo = tr->Elem2No - pmesh->GetNE();
for (int s=0; s<fes.Size(); ++s)
{
const ParFiniteElementSpace *pfes = ParFESpace(s);
fe[s] = pfes->GetFE(tr->Elem1No);
fe2[s] = pfes->GetFaceNbrFE(Elem2NbrNo);
pfes->GetElementVDofs(tr->Elem1No, *(vdofs[s]));
pfes->GetFaceNbrElementVDofs(Elem2NbrNo, *(vdofs2[s]));
el_x[s]->SetSize(vdofs[s]->Size() + vdofs2[s]->Size());
xs.GetBlock(s).GetSubVector(*(vdofs[s]), el_x[s]->GetData());
pgfs[s]->FaceNbrData().GetSubVector(*(vdofs2[s]),
el_x[s]->GetData() + vdofs[s]->Size());
}
for (int k = 0; k < fnfi.Size(); ++k)
{
fnfi[k]->AssembleFaceVector(fe, fe2, *tr, el_x_const, el_y);
for (int s=0; s<fes.Size(); ++s)
{
if (el_y[s]->Size() == 0) { continue; }
ys.GetBlock(s).AddElementVector(*(vdofs[s]), *el_y[s]);
}
}
}
for (int s=0; s<fes.Size(); ++s)
{
delete pgfs[s];
delete vdofs2[s];
delete vdofs[s];
delete el_y[s];
delete el_x[s];
}
}
for (int s=0; s<fes.Size(); ++s)
@@ -312,6 +486,106 @@ void ParBlockNonlinearForm::SetGradientType(Operator::Type tid)
}
}
void ParBlockNonlinearForm::GradientSharedFaces(const BlockVector &xs,
int skip_zeros) const
{
// Terms over shared interior faces in parallel.
ParMesh *pmesh = ParFESpace(0)->GetParMesh();
FaceElementTransformations *tr;
Array<Array<int> *>vdofs(fes.Size());
Array<Array<int> *>vdofs2(fes.Size());
Array<Array<int> *>vdofs_all(fes.Size());
Array<Vector *> el_x(fes.Size());
Array<const Vector *> el_x_const(fes.Size());
Array2D<DenseMatrix *> elmats(fes.Size(), fes.Size());
Array<const FiniteElement *> fe(fes.Size());
Array<const FiniteElement *> fe2(fes.Size());
Array<ParGridFunction *> pgfs(fes.Size());
for (int s1=0; s1<fes.Size(); ++s1)
{
el_x_const[s1] = el_x[s1] = new Vector();
vdofs[s1] = new Array<int>;
vdofs2[s1] = new Array<int>;
vdofs_all[s1] = new Array<int>;
pgfs[s1] = new ParGridFunction(
const_cast<ParFiniteElementSpace*>(ParFESpace(s1)),
const_cast<Vector&>(xs.GetBlock(s1)));
pgfs[s1]->ExchangeFaceNbrData();
for (int s2=0; s2<fes.Size(); ++s2)
{
elmats(s1,s2) = new DenseMatrix();
}
}
const int n_shared_faces = pmesh->GetNSharedFaces();
for (int i = 0; i < n_shared_faces; i++)
{
tr = pmesh->GetSharedFaceTransformations(i, true);
int Elem2NbrNo = tr->Elem2No - pmesh->GetNE();
for (int s=0; s<fes.Size(); ++s)
{
const ParFiniteElementSpace *pfes = ParFESpace(s);
fe[s] = pfes->GetFE(tr->Elem1No);
fe2[s] = pfes->GetFaceNbrFE(Elem2NbrNo);
pfes->GetElementVDofs(tr->Elem1No, *(vdofs[s]));
pfes->GetFaceNbrElementVDofs(Elem2NbrNo, *(vdofs2[s]));
el_x[s]->SetSize(vdofs[s]->Size() + vdofs2[s]->Size());
xs.GetBlock(s).GetSubVector(*(vdofs[s]), el_x[s]->GetData());
pgfs[s]->FaceNbrData().GetSubVector(*(vdofs2[s]),
el_x[s]->GetData() + vdofs[s]->Size());
vdofs[s]->Copy(*vdofs_all[s]);
const int lvsize = pfes->GetVSize();
for (int j = 0; j < vdofs2[s]->Size(); j++)
{
if ((*vdofs2[s])[j] >= 0)
{
(*vdofs2[s])[j] += lvsize;
}
else
{
(*vdofs2[s])[j] -= lvsize;
}
}
vdofs_all[s]->Append(*(vdofs2[s]));
}
for (int k = 0; k < fnfi.Size(); ++k)
{
fnfi[k]->AssembleFaceGrad(fe, fe2, *tr, el_x_const, elmats);
for (int s1=0; s1<fes.Size(); ++s1)
{
for (int s2=0; s2<fes.Size(); ++s2)
{
if (elmats(s1,s2)->Height() == 0) { continue; }
Grads(s1,s2)->AddSubMatrix(*vdofs[s1], *vdofs_all[s2],
*elmats(s1,s2), skip_zeros);
}
}
}
}
for (int s1=0; s1<fes.Size(); ++s1)
{
delete pgfs[s1];
delete vdofs_all[s1];
delete vdofs2[s1];
delete vdofs[s1];
delete el_x[s1];
for (int s2=0; s2<fes.Size(); ++s2)
{
delete elmats(s1,s2);
}
}
}
BlockOperator & ParBlockNonlinearForm::GetGradient(const Vector &x) const
{
if (pBlockGrad == NULL)
@@ -331,49 +605,155 @@ BlockOperator & ParBlockNonlinearForm::GetGradient(const Vector &x) const
}
}
GetLocalGradient(x); // gradients are stored in 'Grads'
// xs_true is not modified, so const_cast is okay
xs_true.Update(const_cast<Vector &>(x), block_trueOffsets);
xs.Update(block_offsets);
for (int s=0; s<fes.Size(); ++s)
{
fes[s]->GetProlongationMatrix()->Mult(
xs_true.GetBlock(s), xs.GetBlock(s));
}
if (fnfi.Size() > 0)
{
MFEM_ABORT("TODO: assemble contributions from shared face terms");
}
const int skip_zeros = 0;
for (int s1=0; s1<fes.Size(); ++s1)
{
for (int s2=0; s2<fes.Size(); ++s2)
for (int s=0; s<fes.Size(); ++s)
{
OperatorHandle dA(phBlockGrad(s1,s2)->Type()),
Ph(phBlockGrad(s1,s2)->Type()),
Rh(phBlockGrad(s1,s2)->Type());
const_cast<ParFiniteElementSpace*>(pfes[s])->ExchangeFaceNbrData();
}
if (s1 == s2)
for (int s1=0; s1<fes.Size(); ++s1)
{
for (int s2=0; s2<fes.Size(); ++s2)
{
dA.MakeSquareBlockDiag(pfes[s1]->GetComm(), pfes[s1]->GlobalVSize(),
pfes[s1]->GetDofOffsets(), Grads(s1,s1));
Ph.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s1)->MakePtAP(dA, Ph);
OperatorHandle Ae;
Ae.EliminateRowsCols(*phBlockGrad(s1,s1), *ess_tdofs[s1]);
if (Grads(s1,s2) == NULL)
{
int nbr_size = pfes[s2]->GetFaceNbrVSize();
Grads(s1,s2) = new SparseMatrix(pfes[s1]->GetVSize(),
pfes[s2]->GetVSize() + nbr_size);
}
}
else
}
// (re)assemble Grad without b.c. into 'Grads'
BlockNonlinearForm::ComputeGradientBlocked(xs, false);
GradientSharedFaces(xs, skip_zeros);
// finalize the gradients
for (int s1=0; s1<fes.Size(); ++s1)
for (int s2=0; s2<fes.Size(); ++s2)
{
dA.MakeRectangularBlockDiag(pfes[s1]->GetComm(),
pfes[s1]->GlobalVSize(),
pfes[s2]->GlobalVSize(),
pfes[s1]->GetDofOffsets(),
pfes[s2]->GetDofOffsets(),
Grads(s1,s2));
Rh.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
Ph.ConvertFrom(pfes[s2]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s2)->MakeRAP(Rh, dA, Ph);
phBlockGrad(s1,s2)->EliminateRows(*ess_tdofs[s1]);
phBlockGrad(s1,s2)->EliminateCols(*ess_tdofs[s2]);
Grads(s1,s2)->Finalize(skip_zeros);
}
pBlockGrad->SetBlock(s1, s2, phBlockGrad(s1,s2)->Ptr());
for (int s1=0; s1<fes.Size(); ++s1)
{
for (int s2=0; s2<fes.Size(); ++s2)
{
OperatorHandle hdA;
OperatorHandle dA(phBlockGrad(s1,s2)->Type()),
Ph(phBlockGrad(s1,s2)->Type()),
Rh(phBlockGrad(s1,s2)->Type());
// handle the case when 'a' contains off-diagonal
int lvsize = pfes[s2]->GetVSize();
const HYPRE_BigInt *face_nbr_glob_ldof =
const_cast<ParFiniteElementSpace*>(pfes[s2])->GetFaceNbrGlobalDofMap();
HYPRE_BigInt ldof_offset = pfes[s2]->GetMyDofOffset();
Array<HYPRE_BigInt> glob_J(Grads(s1,s2)->NumNonZeroElems());
int *J = Grads(s1,s2)->GetJ();
for (int i = 0; i < glob_J.Size(); i++)
{
if (J[i] < lvsize)
{
glob_J[i] = J[i] + ldof_offset;
}
else
{
glob_J[i] = face_nbr_glob_ldof[J[i] - lvsize];
}
}
// TODO - construct dA directly in the A format
hdA.Reset(
new HypreParMatrix(pfes[s2]->GetComm(), pfes[s1]->GetVSize(),
pfes[s1]->GlobalVSize(), pfes[s2]->GlobalVSize(),
Grads(s1,s2)->GetI(), glob_J, Grads(s1,s2)->GetData(),
pfes[s1]->GetDofOffsets(), pfes[s2]->GetDofOffsets()));
// - hdA owns the new HypreParMatrix
// - the above constructor copies all input arrays
glob_J.DeleteAll();
dA.ConvertFrom(hdA);
if (s1 == s2)
{
Ph.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s1)->MakePtAP(dA, Ph);
OperatorHandle Ae;
Ae.EliminateRowsCols(*phBlockGrad(s1,s1), *ess_tdofs[s1]);
}
else
{
Rh.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
Ph.ConvertFrom(pfes[s2]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s2)->MakeRAP(Rh, dA, Ph);
phBlockGrad(s1,s2)->EliminateRows(*ess_tdofs[s1]);
phBlockGrad(s1,s2)->EliminateCols(*ess_tdofs[s2]);
}
pBlockGrad->SetBlock(s1, s2, phBlockGrad(s1,s2)->Ptr());
}
}
}
else
{
// (re)assemble Grad without b.c. into 'Grads'
BlockNonlinearForm::ComputeGradientBlocked(xs);
for (int s1=0; s1<fes.Size(); ++s1)
{
for (int s2=0; s2<fes.Size(); ++s2)
{
OperatorHandle dA(phBlockGrad(s1,s2)->Type()),
Ph(phBlockGrad(s1,s2)->Type()),
Rh(phBlockGrad(s1,s2)->Type());
if (s1 == s2)
{
dA.MakeSquareBlockDiag(pfes[s1]->GetComm(), pfes[s1]->GlobalVSize(),
pfes[s1]->GetDofOffsets(), Grads(s1,s1));
Ph.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s1)->MakePtAP(dA, Ph);
OperatorHandle Ae;
Ae.EliminateRowsCols(*phBlockGrad(s1,s1), *ess_tdofs[s1]);
}
else
{
dA.MakeRectangularBlockDiag(pfes[s1]->GetComm(),
pfes[s1]->GlobalVSize(),
pfes[s2]->GlobalVSize(),
pfes[s1]->GetDofOffsets(),
pfes[s2]->GetDofOffsets(),
Grads(s1,s2));
Rh.ConvertFrom(pfes[s1]->Dof_TrueDof_Matrix());
Ph.ConvertFrom(pfes[s2]->Dof_TrueDof_Matrix());
phBlockGrad(s1,s2)->MakeRAP(Rh, dA, Ph);
phBlockGrad(s1,s2)->EliminateRows(*ess_tdofs[s1]);
phBlockGrad(s1,s2)->EliminateCols(*ess_tdofs[s2]);
}
pBlockGrad->SetBlock(s1, s2, phBlockGrad(s1,s2)->Ptr());
}
}
}
+37 -3
View File
@@ -29,6 +29,8 @@ protected:
mutable ParGridFunction X, Y;
mutable OperatorHandle pGrad;
void GradientSharedFaces(const Vector &x, int skip_zeros = 1) const;
public:
ParNonlinearForm(ParFiniteElementSpace *pf);
@@ -81,6 +83,8 @@ protected:
mutable Array2D<OperatorHandle *> phBlockGrad;
mutable BlockOperator *pBlockGrad;
void GradientSharedFaces(const BlockVector &xs, int skip_zeros) const;
public:
/// Computes the energy of the system
real_t GetEnergy(const Vector &x) const override;
@@ -102,9 +106,39 @@ public:
gradient-type (if different from the default) must be set again. */
void SetParSpaces(Array<ParFiniteElementSpace *> &pf);
// Here, rhs is a true dof vector
void SetEssentialBC(const Array<Array<int> *>&bdr_attr_is_ess,
Array<Vector *> &rhs) override;
/** @brief Set essential boundary conditions to each finite element space
using boundary attribute markers.
This method calls `FiniteElementSpace::GetEssentialTrueDofs()` for each
space and stores ess_tdof_lists internally.
If `rhs` vectors are non-null, the entries corresponding to these
essential DoFs are set to zero. This ensures compatibility with the
output of the `Mult()` method, which also zeroes out these entries.
@param[in] bdr_attr_is_ess A list of boundary attribute markers for each
space.
@param[in,out] rhs An array of optional right-hand side vectors.
If a vector at `rhs[i]` is non-null, its essential DoFs will be set
to zero. */
virtual void SetEssentialBC(const Array<Array<int>*> &bdr_attr_is_ess,
Array<Vector*> &rhs) override;
/** @brief Set essential boundary conditions to each finite element space
using essential true dof lists.
This method stores a copy of the provided essential true dof lists.
If `rhs` vectors are non-null, the entries corresponding to these
essential DoFs are set to zero. This ensures compatibility with the
output of the `Mult()` method, which also zeroes out these entries.
@param[in] ess_tdof_list A list of essential true dofs for each space.
@param[in,out] rhs An array of optional right-hand side vectors.
If a vector at `rhs[i]` is non-null, its essential DoFs will be set
to zero. */
virtual void SetEssentialTrueDofs(const Array<Array<int>*> &ess_tdof_list,
Array<Vector*> &rhs) override;
/// Block T-Vector to Block T-Vector
void Mult(const Vector &x, Vector &y) const override;
+2
View File
@@ -37,6 +37,8 @@ void InitDetKernels()
k::Specialization<3,3,3,3>::Add();
k::Specialization<3,3,3,5>::Add();
k::Specialization<3,3,3,6>::Add();
k::Specialization<3,3,4,6>::Add();
k::Specialization<3,3,3,4>::Add();
}
} // namespace quadrature_interpolator
+1
View File
@@ -28,6 +28,7 @@ void InitEvalByNodesKernels()
k::Specialization<2,QVectorLayout::byNODES,1,2,4>::Opt<1>::Add();
k::Specialization<2,QVectorLayout::byNODES,1,3,2>::Opt<1>::Add();
k::Specialization<2,QVectorLayout::byNODES,1,3,4>::Opt<1>::Add();
k::Specialization<2,QVectorLayout::byNODES,1,3,6>::Opt<1>::Add();
k::Specialization<2,QVectorLayout::byNODES,1,4,3>::Opt<1>::Add();
k::Specialization<2,QVectorLayout::byNODES,1,4,4>::Opt<1>::Add();
+4
View File
@@ -30,6 +30,7 @@ void InitEvalByVDimKernels()
k::Specialization<2,QVectorLayout::byVDIM,2,2,4>::Opt<8>::Add();
k::Specialization<2,QVectorLayout::byVDIM,2,3,4>::Opt<8>::Add();
k::Specialization<2,QVectorLayout::byVDIM,2,3,6>::Opt<4>::Add();
k::Specialization<2,QVectorLayout::byVDIM,2,4,6>::Opt<2>::Add();
k::Specialization<2,QVectorLayout::byVDIM,2,4,8>::Opt<2>::Add();
// 3D
k::Specialization<3,QVectorLayout::byVDIM,1,2,4>::Opt<1>::Add();
@@ -47,6 +48,9 @@ void InitEvalByVDimKernels()
k::Specialization<3,QVectorLayout::byVDIM,3,7,7>::Opt<1>::Add();
k::Specialization<3,QVectorLayout::byVDIM,3,8,8>::Opt<1>::Add();
k::Specialization<3,QVectorLayout::byVDIM,3,9,9>::Opt<1>::Add();
k::Specialization<3,QVectorLayout::byVDIM,3,4,6>::Opt<1>::Add();
k::Specialization<3,QVectorLayout::byVDIM,3,3,4>::Opt<1>::Add();
}
} // namespace quadrature_interpolator
+62 -26
View File
@@ -22,7 +22,7 @@ QuadratureSpaceBase::QuadratureSpaceBase(Mesh &mesh_, Geometry::Type geom,
{
for (int g = 0; g < Geometry::NumGeom; g++)
{
int_rule[g] = NULL;
int_rule[g] = nullptr;
}
int_rule[geom] = &ir;
}
@@ -37,6 +37,29 @@ void QuadratureSpaceBase::ConstructIntRules(int dim)
}
}
const Array<int> &QuadratureSpaceBase::Offsets(
QSpaceOffsetStorage storage) const
{
if (storage == QSpaceOffsetStorage::COMPRESSED || offsets.Size() > 1)
{
return offsets;
}
else
{
if (full_offset_cache.Size() == 0)
{
const int nq = size / ne;
full_offset_cache.SetSize(ne + 1);
int *d_full_offset_cache = full_offset_cache.Write();
mfem::forall(ne + 1, [=] MFEM_HOST_DEVICE (int e)
{
d_full_offset_cache[e] = nq * e;
});
}
return full_offset_cache;
}
}
namespace
{
@@ -116,7 +139,7 @@ void QuadratureSpace::ConstructOffsets()
{
offsets[i] = offset;
const Geometry::Type geom = mesh.GetElementBaseGeometry(i);
MFEM_ASSERT(int_rule[geom] != NULL, "Missing integration rule.");
MFEM_ASSERT(int_rule[geom] != nullptr, "Missing integration rule.");
offset += int_rule[geom]->GetNPoints();
}
offsets[num_elem] = offset;
@@ -181,9 +204,9 @@ const Vector &QuadratureSpace::GetGeometricFactorWeights() const
FaceQuadratureSpace::FaceQuadratureSpace(Mesh &mesh_, int order_,
FaceType face_type_)
: QuadratureSpaceBase(mesh_, order_),
face_type(face_type_),
num_faces(mesh.GetNFbyType(face_type))
: QuadratureSpaceBase(mesh_, order_), face_type(face_type_),
face_indices(mesh.GetFaceIndices(face_type_)),
face_indices_inv(mesh.GetInvFaceIndices(face_type_))
{
Construct();
}
@@ -192,7 +215,8 @@ FaceQuadratureSpace::FaceQuadratureSpace(Mesh &mesh_, const IntegrationRule &ir,
FaceType face_type_)
: QuadratureSpaceBase(mesh_, mesh_.GetTypicalFaceGeometry(), ir),
face_type(face_type_),
num_faces(mesh.GetNFbyType(face_type))
face_indices(mesh.GetFaceIndices(face_type_)),
face_indices_inv(mesh.GetInvFaceIndices(face_type_))
{
MFEM_VERIFY(mesh.GetNumGeometries(mesh.Dimension() - 1) <= 1,
"Constructor not valid for mixed meshes");
@@ -201,28 +225,30 @@ FaceQuadratureSpace::FaceQuadratureSpace(Mesh &mesh_, const IntegrationRule &ir,
void FaceQuadratureSpace::ConstructOffsets()
{
face_indices.SetSize(num_faces);
offsets.SetSize(num_faces + 1);
ne = num_faces;
int offset = 0;
int f_idx = 0;
for (int i = 0; i < mesh.GetNumFacesWithGhost(); i++)
{
const Mesh::FaceInformation face = mesh.GetFaceInformation(i);
if (face.IsNonconformingCoarse() || !face.IsOfFaceType(face_type))
{
continue;
}
face_indices[f_idx] = i;
face_indices_inv[i] = f_idx;
offsets[f_idx] = offset;
Geometry::Type geom = mesh.GetFaceGeometry(i);
MFEM_ASSERT(int_rule[geom] != NULL, "Missing integration rule");
offset += int_rule[geom]->GetNPoints();
ne = face_indices.Size();
f_idx++;
if (mesh.GetNumGeometries(mesh.Dimension() - 1) == 1)
{
Array<Geometry::Type> geoms;
mesh.GetGeometries(mesh.Dimension() - 1, geoms);
offsets.SetSize(1);
offsets.HostWrite();
offsets[0] = int_rule[geoms[0]]->GetNPoints();
size = ne * offsets[0];
}
else
{
offsets.SetSize(face_indices.Size() + 1);
int offset = 0;
for (int i = 0; i < mesh.GetNFbyType(face_type); ++i)
{
offsets[i] = offset;
Geometry::Type geom = mesh.GetFaceGeometry(face_indices[i]);
MFEM_ASSERT(int_rule[geom] != nullptr, "Missing integration rule");
offset += int_rule[geom]->GetNPoints();
}
offsets[face_indices.Size()] = size = offset;
}
offsets[num_faces] = size = offset;
}
void FaceQuadratureSpace::Construct()
@@ -248,6 +274,16 @@ int FaceQuadratureSpace::GetPermutedIndex(int idx, int iq) const
}
}
ElementTransformation *FaceQuadratureSpace::GetTransformation(int idx)
{
ElementTransformation *T = mesh.GetFaceTransformation(face_indices[idx]);
if (face_type == FaceType::Boundary)
{
T->Attribute = mesh.GetBdrFaceAttributes()[idx];
}
return T;
}
int FaceQuadratureSpace::GetEntityIndex(const ElementTransformation &T) const
{
auto get_face_index = [this](const int idx)
+29 -9
View File
@@ -19,6 +19,12 @@
namespace mfem
{
enum class QSpaceOffsetStorage
{
FULL,
COMPRESSED
};
/// Abstract base class for QuadratureSpace and FaceQuadratureSpace.
/** This class represents the storage layout for QuadratureFunction%s, that may
be defined either on mesh elements or mesh faces. */
@@ -30,7 +36,7 @@ protected:
Mesh &mesh; ///< The underlying mesh.
int order; ///< The order of integration rule.
int size; ///< Total number of quadrature points.
int ne; ///< Actual number of entities
int ne; ///< Number of entities
mutable Vector weights; ///< Integration weights.
mutable long nodes_sequence = 0; ///< Nodes counter for cache invalidation.
@@ -41,7 +47,17 @@ protected:
/// can be computed as i * offsets[0], where i is the entity index. Otherwise
/// has size num_entities + 1.
///
/// In the non-compressed case, the quadrature point values for entity i are
/// stored in the indices between offsets[i] and offsets[i+1].
Array<int> offsets;
/// @brief Cached version of the "full" offsets, returned by Offsets() when
/// QSpaceOffsetStorage::FULL is provided.
///
/// The quadrature point values for entity i are stored in the indices
/// between offsets[i] and offsets[i+1].
mutable Array<int> full_offset_cache;
/// The quadrature rules used for each geometry type.
const IntegrationRule *int_rule[Geometry::NumGeom];
@@ -74,12 +90,18 @@ public:
/// @brief Entity quadrature point offset array.
///
/// Supports a constant compression scheme for meshes which have a single
/// If @a storage is QSpaceOffsetStorage::COMPRESSED, then the returned array
/// supports a constant compression scheme for meshes which have a single
/// geometry type. When compressed, will have a single value. The true offset
/// can be computed as i * offsets[0], where i is the entity index. Otherwise
/// has size num_entities + 1.
///
const Array<int> &Offsets() const { return offsets; }
/// If @a storage is QSpaceOffsetStorage::FULL, then the array will never be
/// compressed.
///
/// In the non-compressed case, the quadrature point values for entity i are
/// stored in the indices between offsets[i] and offsets[i+1].
const Array<int> &Offsets(QSpaceOffsetStorage storage) const;
/// Return the total number of quadrature points.
int GetSize() const { return size; }
@@ -191,13 +213,12 @@ public:
class FaceQuadratureSpace : public QuadratureSpaceBase
{
FaceType face_type; ///< Is the space defined on interior or boundary faces?
const int num_faces; ///< Number of faces.
/// Map from boundary or interior face indices to mesh face indices.
Array<int> face_indices;
const Array<int> &face_indices;
/// Inverse of the map @a face_indices.
std::unordered_map<int,int> face_indices_inv;
const std::unordered_map<int,int> &face_indices_inv;
const Vector &GetGeometricFactorWeights() const override;
void ConstructOffsets();
@@ -213,14 +234,13 @@ public:
FaceType face_type_);
/// Returns number of faces in the mesh.
inline int GetNumFaces() const { return num_faces; }
inline int GetNumFaces() const { return face_indices.Size(); }
/// Returns the face type (boundary or interior).
FaceType GetFaceType() const { return face_type; }
/// Returns the face transformation of face @a idx.
ElementTransformation *GetTransformation(int idx) override
{ return mesh.GetFaceTransformation(face_indices[idx]); }
ElementTransformation *GetTransformation(int idx) override;
/// Returns the geometry type of face @a idx.
Geometry::Type GetGeometry(int idx) const override
+228 -2
View File
@@ -140,6 +140,36 @@ void add_3D(const scalartype &scalar, const std::vector<type> &u,
/* Metric definitions */
// W = ||T||^2 - 2*det(T).
template <typename type>
type mu4_ad(const std::vector<type> &T, const std::vector<type> &W)
{
auto fnorm2 = fnorm2_2D(T);
auto det = det_2D(T);
return fnorm2 - 2*det;
};
// W = ||T-I||^2.
template <typename type>
type mu14_ad(const std::vector<type> &T, const std::vector<type> &W)
{
DenseMatrix Id(2,2); Id = 0.0;
Id(0,0) = 1; Id(1,1) = 1;
std::vector<type> Mat;
add_2D(real_t{-1.0}, T, &Id, Mat);
return fnorm2_2D(Mat);
};
// W = (det(T)-1)^2.
template <typename type>
type mu55_ad(const std::vector<type> &T, const std::vector<type> &W)
{
auto det = det_2D(T);
return pow(det-1.0, 2.0);
};
// W = |T-T'|^2, where T'= |T|*I/sqrt(2).
template <typename type>
type mu85_ad(const std::vector<type> &T, const std::vector<type> &W)
@@ -163,6 +193,63 @@ type mu98_ad(const std::vector<type> &T, const std::vector<type> &W)
return fnorm2_2D(Mat)/det_2D(T);
};
template <typename type>
type make_one_type()
{
return 1.0;
}
// add specialization for AD1Type
template <>
AD1Type make_one_type<AD1Type>()
{
return AD1Type{1.0, 0.0};
}
// add specialization for AD2Type
template <>
AD2Type make_one_type<AD2Type>()
{
return AD2Type{AD1Type{1.0, 0.0}, AD1Type{0.0, 0.0}};
}
using TWCUO = TMOP_WorstCaseUntangleOptimizer_Metric;
template <typename type>
type wcuo_ad(type mu,
const std::vector<type> &T, const std::vector<type> &W,
real_t alpha, real_t min_detT, real_t detT_ep,
int exponent, real_t max_muT, real_t muT_ep,
TWCUO::BarrierType bt,
TWCUO::WorstCaseType wct)
{
type one = make_one_type<type>();
type zero = 0.0*one;
type denom = one;
if (bt == TWCUO::BarrierType::Shifted)
{
auto val1 = alpha*min_detT-detT_ep < 0.0 ?
(alpha*min_detT-detT_ep)*one :
zero;
denom = 2.0*(det_2D(T)-val1);
}
else if (bt == TWCUO::BarrierType::Pseudo)
{
auto detT = det_2D(T);
denom = detT + sqrt(detT*detT + detT_ep*detT_ep);
}
mu = mu/denom;
if (wct == TWCUO::WorstCaseType::PMean)
{
auto exp = exponent*one;
mu = pow(mu, exp);
}
else if (wct == TWCUO::WorstCaseType::Beta)
{
auto beta = (max_muT+muT_ep)*one;
mu = mu/(beta-mu);
}
return mu;
}
// W = 1/(tau^0.5) |T-I|^2.
template <typename type>
type mu342_ad(const std::vector<type> &T, const std::vector<type> &W)
@@ -421,7 +508,7 @@ void TMOP_QualityMetric::DefaultAssembleH(const DenseTensor &H,
{
for (int cc = 0; cc < dim; cc++)
{
const double entry_rr_cc = Hrc(rr, cc);
const real_t entry_rr_cc = Hrc(rr, cc);
for (int i = 0; i < dof; i++)
{
@@ -481,6 +568,30 @@ void TMOP_Combo_QualityMetric::EvalPW(const DenseMatrix &Jpt,
}
}
AD1Type TMOP_Combo_QualityMetric::EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W)
const
{
AD1Type metric = {0., 0.};
for (int i = 0; i < tmop_q_arr.Size(); i++)
{
metric += wt_arr[i]*tmop_q_arr[i]->EvalW_AD1(T, W);
}
return metric;
}
AD2Type TMOP_Combo_QualityMetric::EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W)
const
{
AD2Type metric = {{0., 0.},{0., 0.}};
for (int i = 0; i < tmop_q_arr.Size(); i++)
{
metric += wt_arr[i]*tmop_q_arr[i]->EvalW_AD2(T, W);
}
return metric;
}
void TMOP_Combo_QualityMetric::AssembleH(const DenseMatrix &Jpt,
const DenseMatrix &DS,
const real_t weight,
@@ -645,6 +756,64 @@ real_t TMOP_WorstCaseUntangleOptimizer_Metric::EvalWBarrier(
return tmop_metric.EvalW(Jpt)/denominator;
}
AD1Type TMOP_WorstCaseUntangleOptimizer_Metric::EvalW_AD1(
const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const
{
return wcuo_ad(tmop_metric.EvalW_AD1(T,W), T, W, alpha, min_detT, detT_ep,
exponent, max_muT, muT_ep, btype, wctype);
}
AD2Type TMOP_WorstCaseUntangleOptimizer_Metric::EvalW_AD2(
const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const
{
return wcuo_ad(tmop_metric.EvalW_AD2(T,W), T, W, alpha, min_detT, detT_ep,
exponent, max_muT, muT_ep, btype, wctype);
}
void TMOP_WorstCaseUntangleOptimizer_Metric::EvalP(const DenseMatrix &Jpt,
DenseMatrix &P) const
{
auto mu_ad_fn = [this](std::vector<AD1Type> &T, std::vector<AD1Type> &W)
{
return EvalW_AD1(T,W);
};
if (tmop_metric.Id() == 4 || tmop_metric.Id() == 14 ||
tmop_metric.Id() == 66)
{
ADGrad(mu_ad_fn, P, Jpt);
return;
}
MFEM_ABORT("EvalW_AD1 not implemented with this metric for "
"TMOP_WorstCaseUntangleOptimizer_Metric. "
"Please use metric 4/14/66.");
}
void TMOP_WorstCaseUntangleOptimizer_Metric::AssembleH(
const DenseMatrix &Jpt,
const DenseMatrix &DS,
const real_t weight,
DenseMatrix &A) const
{
DenseTensor H(Jpt.Height(), Jpt.Height(), Jpt.TotalSize());
H = 0.0;
auto mu_ad_fn = [this](std::vector<AD2Type> &T, std::vector<AD2Type> &W)
{
return EvalW_AD2(T,W);
};
if (tmop_metric.Id() == 4 || tmop_metric.Id() == 14 ||
tmop_metric.Id() == 66)
{
ADHessian(mu_ad_fn, H, Jpt);
this->DefaultAssembleH(H,DS,weight,A);
return;
}
MFEM_ABORT("EvalW_AD1 not implemented with this metric for "
"TMOP_WorstCaseUntangleOptimizer_Metric. "
"Please use metric 4/14/66.");
}
real_t TMOP_Metric_001::EvalW(const DenseMatrix &Jpt) const
{
ie.SetJacobian(Jpt.GetData());
@@ -850,6 +1019,25 @@ void TMOP_Metric_004::AssembleH(const DenseMatrix &Jpt,
ie.Assemble_ddI2b(-2.0*weight, A.GetData());
}
template <typename type>
type TMOP_Metric_004::EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const
{
return mu4_ad(T, W);
}
AD1Type TMOP_Metric_004::EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const
{
return EvalW_AD_impl<AD1Type>(T,W);
}
AD2Type TMOP_Metric_004::EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const
{
return EvalW_AD_impl<AD2Type>(T,W);
}
real_t TMOP_Metric_007::EvalW(const DenseMatrix &Jpt) const
{
// mu_7 = |J-J^{-t}|^2 = |J|^2 + |J^{-1}|^2 - 4
@@ -971,6 +1159,25 @@ void TMOP_Metric_014::AssembleH(const DenseMatrix &Jpt,
ie.Assemble_ddI1(weight, A.GetData());
}
template <typename type>
type TMOP_Metric_014::EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const
{
return mu14_ad(T, W);
}
AD1Type TMOP_Metric_014::EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const
{
return EvalW_AD_impl<AD1Type>(T,W);
}
AD2Type TMOP_Metric_014::EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const
{
return EvalW_AD_impl<AD2Type>(T,W);
}
real_t TMOP_Metric_022::EvalW(const DenseMatrix &Jpt) const
{
// mu_22 = (0.5*|J|^2 - det(J)) / (det(J) - tau0)
@@ -1100,6 +1307,25 @@ void TMOP_Metric_055::AssembleH(const DenseMatrix &Jpt,
ie.Assemble_ddI2b(2*weight*(ie.Get_I2b() - 1.0), A.GetData());
}
template <typename type>
type TMOP_Metric_055::EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const
{
return mu55_ad(T, W);
}
AD1Type TMOP_Metric_055::EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const
{
return EvalW_AD_impl<AD1Type>(T,W);
}
AD2Type TMOP_Metric_055::EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const
{
return EvalW_AD_impl<AD2Type>(T,W);
}
real_t TMOP_Metric_056::EvalWMatrixForm(const DenseMatrix &Jpt) const
{
// mu_56 = 0.5 (det(J) + 1 / det(J)) - 1.
@@ -4096,7 +4322,7 @@ real_t TMOP_Integrator::GetElementEnergy(const FiniteElement &el,
const IntegrationPoint &ip_s = ir_s->IntPoint(s);
Tpr->SetIntPoint(&ip_s);
double w = surf_fit_coeff->Eval(*Tpr, ip_s) * surf_fit_normal *
real_t w = surf_fit_coeff->Eval(*Tpr, ip_s) * surf_fit_normal *
1.0 / surf_fit_dof_count[scalar_dof_id];
if (surf_fit_gf)
+68 -4
View File
@@ -14,10 +14,14 @@
#include "../linalg/invariants.hpp"
#include "nonlininteg.hpp"
#include "../linalg/dual.hpp"
namespace mfem
{
using AD1Type = future::dual<real_t, real_t>;
using AD2Type = future::dual<AD1Type, AD1Type>;
/** @brief Abstract class for local mesh quality metrics in the target-matrix
optimization paradigm (TMOP) by P. Knupp et al. */
class TMOP_QualityMetric : public HyperelasticModel
@@ -69,6 +73,22 @@ public:
virtual void EvalPW(const DenseMatrix &Jpt, DenseMatrix &PW) const
{ PW = 0.0;}
/// @brief First-derivative hook for AD-based computations.
/// @warning Not for public use. Internal use for AD-based computations.
virtual AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const
{
MFEM_ABORT("EvalW_AD1 not implemented for this metric");
}
/// @brief Second-derivative hook for AD-based computations.
/// @warning Not for public use. Internal use for AD-based computations.
virtual AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const
{
MFEM_ABORT("EvalW_AD2 not implemented for this metric");
}
/** @brief Evaluate the derivative of the 1st Piola-Kirchhoff stress tensor
and assemble its contribution to the local gradient matrix 'A'.
@param[in] Jpt Represents the target->physical transformation
@@ -124,6 +144,12 @@ public:
void AssembleH(const DenseMatrix &Jpt, const DenseMatrix &DS,
const real_t weight, DenseMatrix &A) const override;
AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const override;
AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const override;
/// Computes the averages of all metrics (integral of metric / volume).
/// Works in parallel when called with a ParGridFunction.
void ComputeAvgMetrics(const GridFunction &nodes,
@@ -221,12 +247,16 @@ public:
real_t EvalW(const DenseMatrix &Jpt) const override;
void EvalP(const DenseMatrix &Jpt, DenseMatrix &P) const override
{ MFEM_ABORT("Not implemented"); }
AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const override;
AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const override;
void EvalP(const DenseMatrix &Jpt, DenseMatrix &P) const override;
void AssembleH(const DenseMatrix &Jpt, const DenseMatrix &DS,
const real_t weight, DenseMatrix &A) const override
{ MFEM_ABORT("Not implemented"); }
const real_t weight, DenseMatrix &A) const override;
// Compute mu_hat.
real_t EvalWBarrier(const DenseMatrix &Jpt) const;
@@ -368,6 +398,10 @@ class TMOP_Metric_004 : public TMOP_QualityMetric
protected:
mutable InvariantsEvaluator2D<real_t> ie;
template<typename type>
type EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const;
public:
// W = |J|^2 - 2*det(J)
real_t EvalW(const DenseMatrix &Jpt) const override;
@@ -377,6 +411,12 @@ public:
void AssembleH(const DenseMatrix &Jpt, const DenseMatrix &DS,
const real_t weight, DenseMatrix &A) const override;
AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const override;
AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const override;
int Id() const override { return 4; }
};
@@ -420,6 +460,10 @@ class TMOP_Metric_014 : public TMOP_QualityMetric
protected:
mutable InvariantsEvaluator2D<real_t> ie;
template <typename type>
type EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const;
public:
// W = |J - I|^2.
real_t EvalWMatrixForm(const DenseMatrix &Jpt) const override;
@@ -431,6 +475,14 @@ public:
void AssembleH(const DenseMatrix &Jpt, const DenseMatrix &DS,
const real_t weight, DenseMatrix &A) const override;
AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const override;
AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const override;
int Id() const override { return 14; }
};
/// 2D Shifted barrier form of shape metric (mu_2).
@@ -479,6 +531,10 @@ class TMOP_Metric_055 : public TMOP_QualityMetric
protected:
mutable InvariantsEvaluator2D<real_t> ie;
template<typename type>
type EvalW_AD_impl(const std::vector<type> &T,
const std::vector<type> &W) const;
public:
// W = (det(J) - 1)^2.
real_t EvalW(const DenseMatrix &Jpt) const override;
@@ -488,6 +544,14 @@ public:
void AssembleH(const DenseMatrix &Jpt, const DenseMatrix &DS,
const real_t weight, DenseMatrix &A) const override;
AD1Type EvalW_AD1(const std::vector<AD1Type> &T,
const std::vector<AD1Type> &W) const override;
AD2Type EvalW_AD2(const std::vector<AD2Type> &T,
const std::vector<AD2Type> &W) const override;
int Id() const override { return 55; }
};
/// 2D barrier size (V) metric (polyconvex).
+1 -1
View File
@@ -111,7 +111,7 @@ public:
~InterpolatorFP()
{
finder->FreeData();
if (finder) { finder->FreeData(); }
delete finder;
}
};
-199
View File
@@ -1,199 +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.
// Abstract array data type
#include "array.hpp"
#include "../general/forall.hpp"
#include <fstream>
#include <type_traits>
namespace mfem
{
template <class T>
void Array<T>::Print(std::ostream &os, int width) const
{
for (int i = 0; i < size; i++)
{
os << data[i];
if ( !((i+1) % width) || i+1 == size )
{
os << '\n';
}
else
{
os << " ";
}
}
}
template <class T>
void Array<T>::Save(std::ostream &os, int fmt) const
{
if (fmt == 0)
{
os << size << '\n';
}
for (int i = 0; i < size; i++)
{
os << operator[](i) << '\n';
}
}
template <class T>
void Array<T>::Load(std::istream &in, int fmt)
{
if (fmt == 0)
{
int new_size;
in >> new_size;
SetSize(new_size);
}
for (int i = 0; i < size; i++)
{
in >> operator[](i);
}
}
template <class T>
T Array<T>::Max() const
{
MFEM_ASSERT(size > 0, "Array is empty with size " << size);
T max = operator[](0);
for (int i = 1; i < size; i++)
{
if (max < operator[](i))
{
max = operator[](i);
}
}
return max;
}
template <class T>
T Array<T>::Min() const
{
MFEM_ASSERT(size > 0, "Array is empty with size " << size);
T min = operator[](0);
for (int i = 1; i < size; i++)
{
if (operator[](i) < min)
{
min = operator[](i);
}
}
return min;
}
// Partial Sum
template <class T>
void Array<T>::PartialSum()
{
T sum = static_cast<T>(0);
for (int i = 0; i < size; i++)
{
sum+=operator[](i);
operator[](i) = sum;
}
}
template <class T>
void Array<T>::Abs()
{
static_assert(std::is_arithmetic<T>::value, "Use with arithmetic types!");
const bool useDevice = UseDevice();
const int N = size;
auto y = ReadWrite(useDevice);
mfem::forall_switch(useDevice, N, [=] MFEM_HOST_DEVICE (int i)
{
y[i] = std::abs(y[i]);
});
}
// Sum
template <class T>
T Array<T>::Sum() const
{
T sum = static_cast<T>(0);
for (int i = 0; i < size; i++)
{
sum+=operator[](i);
}
return sum;
}
template <class T>
int Array<T>::IsSorted() const
{
T val_prev = operator[](0), val;
for (int i = 1; i < size; i++)
{
val=operator[](i);
if (val < val_prev)
{
return 0;
}
val_prev = val;
}
return 1;
}
template <class T>
void Array2D<T>::Load(const char *filename, int fmt)
{
std::ifstream in;
in.open(filename, std::ifstream::in);
MFEM_VERIFY(in.is_open(), "File " << filename << " does not exist.");
Load(in, fmt);
in.close();
}
template <class T>
void Array2D<T>::Print(std::ostream &os, int width_)
{
int height = this->NumRows();
int width = this->NumCols();
for (int i = 0; i < height; i++)
{
os << "[row " << i << "]\n";
for (int j = 0; j < width; j++)
{
os << (*this)(i,j);
if ( (j+1) == width_ || (j+1) % width_ == 0 )
{
os << '\n';
}
else
{
os << ' ';
}
}
}
}
template class Array<char>;
template class Array<int>;
template class Array<long long>;
template class Array<real_t>;
template class Array2D<int>;
template class Array2D<real_t>;
} // namespace mfem
+246 -15
View File
@@ -16,9 +16,13 @@
#include "mem_manager.hpp"
#include "device.hpp"
#include "error.hpp"
#include "forall.hpp"
#include "globals.hpp"
#include "reducers.hpp"
#include "scan.hpp"
#include <iostream>
#include <fstream>
#include <cstdlib>
#include <cstring>
#include <algorithm>
@@ -135,6 +139,8 @@ public:
/// Return the device flag of the Memory object used by the Array
bool UseDevice() const { return data.UseDevice(); }
void UseDevice(bool use_dev) { data.UseDevice(use_dev); }
/// Return true if the data will be deleted by the Array
inline bool OwnsData() const { return data.OwnsHostPtr(); }
@@ -217,7 +223,7 @@ public:
/// Reduces the capacity of the array to exactly match the current size.
inline void ShrinkToFit();
/// Create a copy of the internal array to the provided @a copy.
/// Create a copy of the internal array to the provided @a copy.
inline void Copy(Array &copy) const;
/// Make this Array a reference to a pointer.
@@ -275,11 +281,11 @@ public:
/** @brief Find the maximal element in the array, using the comparison
operator `<` for class T. */
T Max() const;
inline T Max() const;
/** @brief Find the minimal element in the array, using the comparison
operator `<` for class T. */
T Min() const;
inline T Min() const;
/// Sorts the array in ascending order. This requires operator< to be defined for T.
void Sort() { std::sort((T*)data, data + size); }
@@ -297,19 +303,22 @@ public:
}
/// Return 1 if the array is sorted from lowest to highest. Otherwise return 0.
int IsSorted() const;
inline int IsSorted() const;
/// Does the Array have Size zero.
bool IsEmpty() const { return Size() == 0; }
/// Return true if all entries of the array are the same.
inline bool IsConstant() const;
/// Fill the entries of the array with the cumulative sum of the entries.
void PartialSum();
inline void PartialSum();
/// Replace each entry of the array with its absolute value.
void Abs();
inline void Abs();
/// Return the sum of all the array entries using the '+'' operator for class 'T'.
T Sum() const;
inline T Sum() const;
/// Set all entries of the array to the provided constant.
inline void operator=(const T &a);
@@ -412,10 +421,13 @@ private:
public:
Array2D() { M = N = 0; }
/// Construct an m x n 2D array.
Array2D(int m, int n) : array1d(m*n) { M = m; N = n; }
Array2D(const Array2D &) = default;
/// Set the 2D array size to m x n.
void SetSize(int m, int n) { array1d.SetSize(m*n); M = m; N = n; }
int NumRows() const { return M; }
@@ -472,9 +484,11 @@ public:
void Load(int new_size0,int new_size1, std::istream &in)
{ SetSize(new_size0,new_size1); Load(in, 1); }
/// Create a copy of the internal array to the provided @a copy.
void Copy(Array2D &copy) const
{ copy.M = M; copy.N = N; array1d.Copy(copy.array1d); }
/// Set all entries of the array to the provided constant.
inline void operator=(const T &a)
{ array1d = a; }
@@ -489,6 +503,14 @@ public:
/// Prints array to stream with width elements per row
void Print(std::ostream &out = mfem::out, int width = 4);
/** @brief Find the maximal element in the array, using the comparison
operator `<` for class T. */
T Max() const { return array1d.Max(); }
/** @brief Find the minimal element in the array, using the comparison
operator `<` for class T. */
T Min() const { return array1d.Min(); }
};
@@ -501,15 +523,32 @@ private:
public:
Array3D() { N2 = N3 = 0; }
/// Construct a 3D array of size n1 x n2 x n3.
Array3D(int n1, int n2, int n3)
: array1d(n1*n2*n3) { N2 = n2; N3 = n3; }
/// Set the 3D array size to n1 x n2 x n3.
void SetSize(int n1, int n2, int n3)
{ array1d.SetSize(n1*n2*n3); N2 = n2; N3 = n3; }
/// Get the 3D array size in the first dimension.
int GetSize1() const
{
const int size = array1d.Size();
return size == 0 ? 0 : size / (N2 * N3);
}
/// Get the 3D array size in the second dimension.
int GetSize2() const { return N2; }
/// Get the 3D array size in the third dimension.
int GetSize3() const { return N3; }
inline const T &operator()(int i, int j, int k) const;
inline T &operator()(int i, int j, int k);
/// Set all entries of the array to the provided constant.
inline void operator=(const T &a)
{ array1d = a; }
};
@@ -764,8 +803,14 @@ template <typename T> template <typename CT>
inline Array<T> &Array<T>::operator=(const Array<CT> &src)
{
SetSize(src.Size());
for (int i = 0; i < size; i++) { (*this)[i] = T(src[i]); }
return *this;
const bool use_dev = UseDevice() || src.UseDevice();
const auto x = src.Read(use_dev);
auto y = Write(use_dev);
mfem::forall_switch(use_dev, size, [=] MFEM_HOST_DEVICE (int i)
{
y[i] = x[i];
});
}
template <class T>
@@ -981,19 +1026,24 @@ template <class T>
inline void Array<T>::GetSubArray(int offset, int sa_size, Array<T> &sa) const
{
sa.SetSize(sa_size);
for (int i = 0; i < sa_size; i++)
const bool use_dev = UseDevice() || sa.UseDevice();
const auto x = Read(use_dev);
auto y = sa.Write(use_dev);
mfem::forall_switch(use_dev, sa_size, [=] MFEM_HOST_DEVICE (int i)
{
sa[i] = (*this)[offset+i];
}
y[i] = x[offset + i];
});
}
template <class T>
inline void Array<T>::operator=(const T &a)
{
for (int i = 0; i < size; i++)
const bool use_dev = UseDevice();
auto x = Write(use_dev);
mfem::forall_switch(use_dev, size, [=] MFEM_HOST_DEVICE (int i)
{
data[i] = a;
}
x[i] = a;
});
}
template <class T>
@@ -1002,6 +1052,153 @@ inline void Array<T>::Assign(const T *p)
data.CopyFromHost(p, Size());
}
template <class T>
inline void Array<T>::Print(std::ostream &os, int width) const
{
for (int i = 0; i < size; i++)
{
os << data[i];
if ( !((i+1) % width) || i+1 == size )
{
os << '\n';
}
else
{
os << " ";
}
}
}
template <class T>
inline void Array<T>::Save(std::ostream &os, int fmt) const
{
if (fmt == 0)
{
os << size << '\n';
}
for (int i = 0; i < size; i++)
{
os << operator[](i) << '\n';
}
}
template <class T>
void Array<T>::Load(std::istream &in, int fmt)
{
if (fmt == 0)
{
int new_size;
in >> new_size;
SetSize(new_size);
}
for (int i = 0; i < size; i++)
{
in >> operator[](i);
}
}
template <class T>
inline T Array<T>::Max() const
{
MFEM_ASSERT(size > 0, "Array is empty with size " << size);
T max = operator[](0);
for (int i = 1; i < size; i++)
{
if (max < operator[](i))
{
max = operator[](i);
}
}
return max;
}
template <class T>
inline T Array<T>::Min() const
{
MFEM_ASSERT(size > 0, "Array is empty with size " << size);
T min = operator[](0);
for (int i = 1; i < size; i++)
{
if (operator[](i) < min)
{
min = operator[](i);
}
}
return min;
}
// Partial Sum
template <class T>
inline void Array<T>::PartialSum()
{
auto data_ptr = ReadWrite(UseDevice());
InclusiveScan(UseDevice(), data_ptr, data_ptr, size);
}
template <class T>
inline void Array<T>::Abs()
{
static_assert(std::is_arithmetic<T>::value, "Use with arithmetic types!");
const bool useDevice = UseDevice();
const int N = size;
auto y = ReadWrite(useDevice);
mfem::forall_switch(useDevice, N, [=] MFEM_HOST_DEVICE (int i)
{
y[i] = std::abs(y[i]);
});
}
// Sum
template <class T>
inline T Array<T>::Sum() const
{
T sum = static_cast<T>(0);
if (size > 0)
{
const auto m_data = Read(UseDevice());
reduce(size, sum, [=] MFEM_HOST_DEVICE(int i, T &r) { r += m_data[i]; },
/* */ SumReducer<T> {}, UseDevice());
}
return sum;
}
template <class T>
inline int Array<T>::IsSorted() const
{
T val_prev = operator[](0), val;
for (int i = 1; i < size; i++)
{
val=operator[](i);
if (val < val_prev)
{
return 0;
}
val_prev = val;
}
return 1;
}
template <class T>
inline bool Array<T>::IsConstant() const
{
if (size < 2) { return true; }
const T v0 = data[0];
for (int i = 1; i < size; i++)
{
if (data[i] != v0)
{
return false;
}
}
return true;
}
template <class T>
inline const T &Array2D<T>::operator()(int i, int j) const
@@ -1041,6 +1238,40 @@ inline T *Array2D<T>::operator[](int i)
return &array1d[i*N];
}
template <class T>
void Array2D<T>::Load(const char *filename, int fmt)
{
std::ifstream in;
in.open(filename, std::ifstream::in);
MFEM_VERIFY(in.is_open(), "File " << filename << " does not exist.");
Load(in, fmt);
in.close();
}
template <class T>
void Array2D<T>::Print(std::ostream &os, int width_)
{
int height = this->NumRows();
int width = this->NumCols();
for (int i = 0; i < height; i++)
{
os << "[row " << i << "]\n";
for (int j = 0; j < width; j++)
{
os << (*this)(i,j);
if ( (j+1) == width_ || (j+1) % width_ == 0 )
{
os << '\n';
}
else
{
os << ' ';
}
}
}
}
template <class T>
inline void Swap(Array2D<T> &a, Array2D<T> &b)
+56 -54
View File
@@ -57,9 +57,9 @@ struct Hashed4
* each time this class is invoked.
*
* There are two main methods this class provides. The Get(...) methods always
* return an item given the two or four indices. If the item didn't previously
* return an item given the two or four indices. If the item did not previously
* exist, the methods creates a new one. The Find(...) methods, on the other
* hand, just return NULL or -1 if the item doesn't exist.
* hand, just return NULL or -1 if the item does not exist.
*
* Each new item is automatically assigned a unique ID - the index of the item
* inside the BlockArray. The IDs may (but need not) be used as p1, p2, ... of
@@ -95,14 +95,14 @@ public:
@param[in] init_hash_size The initial size of the hash table. Must be
a power of 2. */
HashTable(int block_size = 16*1024, int init_hash_size = 32*1024);
/// @brief Deep copy
/// Deep copy
HashTable(const HashTable& other);
/// @brief Copy assignment not supported
/// Copy assignment not supported
HashTable& operator=(const HashTable&) = delete;
~HashTable();
/** @brief Item accessor with key (or parents) the pair 'p1', 'p2'. Default
construct an item of type T if no value correspond to the requested key.
/** @brief Item accessor with key (or parents) the pair p1, p2. Default
construct an item of type T if no value corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -111,9 +111,9 @@ public:
@warning This method should only be called if T inherits from Hashed2. */
T* Get(int p1, int p2);
/** @brief Item accessor with key (or parents) the quadruplet 'p1', 'p2',
'p3', 'p4'. The key 'p4' is optional. Default construct an item of type T
if no value corresponds to the requested key.
/** @brief Item accessor with key (or parents) the quadruplet p1, p2, p3, p4.
The key p4 is optional. Default construct an item of type T if no value
corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -124,10 +124,10 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
T* Get(int p1, int p2, int p3, int p4 = -1 /* p4 optional */);
/// Get id of item whose parents are p1, p2... Create it if it doesn't exist.
/** @brief Get the "id" of an item, this "id" corresponding to the index of the
item in the underlying BlockArray<T> object. Default construct an item
and id if no value corresponds to the requested key.
/** @brief Get the "id" of the item whose parents are p1, p2, this "id"
corresponding to the index of the item in the underlying BlockArray<T>
object. Default construct an item and "id" if no value corresponds to the
requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -136,9 +136,9 @@ public:
@warning This method should only be called if T inherits from Hashed2. */
int GetId(int p1, int p2);
/** @brief Get the "id" of an item, this "id" corresponding to the index of the
item in the underlying BlockArray<T> object. Default construct an item
and id if no value correspond to the requested key.
/** @brief Get the "id" of an item, this "id" corresponding to the index of
the item in the underlying BlockArray<T> object. Default construct an item
and "id" if no value corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -149,9 +149,8 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
int GetId(int p1, int p2, int p3, int p4 = -1);
/// Find item whose parents are p1, p2... Return NULL if it doesn't exist.
/** @brief Item accessor with key (or parents) the pair 'p1', 'p2'. Return
nullptr if no value correspond to the requested key.
/** @brief Item accessor with key (or parents) the pair p1, p2. Return
NULL if no value corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -160,9 +159,9 @@ public:
@warning This method should only be called if T inherits from Hashed2. */
T* Find(int p1, int p2);
/** @brief Item accessor with key (or parents) the quadruplet 'p1', 'p2',
'p3', 'p4'. The key 'p4' is optional. Return nullptr if no value
correspond to the requested key.
/** @brief Item accessor with key (or parents) the quadruplet p1, p2, p3, p4.
The key p4 is optional. Return NULL if no value corresponds to the
requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -173,8 +172,8 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
T* Find(int p1, int p2, int p3, int p4 = -1);
/** @brief Item const accessor with key (or parents) the pair 'p1', 'p2'.
Return nullptr if no value correspond to the requested key.
/** @brief Item const accessor with key (or parents) the pair p1, p2.
Return NULL if no value corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -183,9 +182,9 @@ public:
@warning This method should only be called if T inherits from Hashed2. */
const T* Find(int p1, int p2) const;
/** @brief Item const accessor with key (or parents) the quadruplet 'p1',
'p2', 'p3', 'p4'. The key 'p4' is optional. Return nullptr if no value
correspond to the requested key.
/** @brief Item const accessor with key (or parents) the quadruplet p1, p2,
p3, p4. The key p4 is optional. Return NULL if no value corresponds to the
requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -196,10 +195,12 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
const T* Find(int p1, int p2, int p3, int p4 = -1) const;
/// Find id of item whose parents are p1, p2... Return -1 if it doesn't exist.
/** @brief Find the "id" of an item, this "id" corresponding to the index of
the item in the underlying BlockArray<T> object. Default construct an
item and id if no value correspond to the requested key.
/** @brief Find the "id" of an item whose parents are p1, p2. Return -1 if it
does not exist.
This "id" corresponds to the index of the item in the underlying
BlockArray<T> object. Default construct an item and "id" if no value
corresponds to the requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -209,8 +210,9 @@ public:
int FindId(int p1, int p2) const;
/** @brief Find the "id" of an item, this "id" corresponding to the index of
the item in the underlying BlockArray<T> object. Default construct an
item and id if no value correspond to the requested key.
the item in the underlying BlockArray<T> object. Return -1 if it does not
exist. Default construct an item and "id" if no value corresponds to the
requested key.
@param[in] p1 First part of the key.
@param[in] p2 Second part of the key.
@@ -221,16 +223,16 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
int FindId(int p1, int p2, int p3, int p4 = -1) const;
/// @brief Return the number of elements currently stored in the HashTable.
/// Return the number of elements currently stored in the HashTable.
int Size() const { return Base::Size() - unused.Size(); }
/// @brief Return the total number of ids (used and unused) in the HashTable.
/// Return the total number of ids (used and unused) in the HashTable.
int NumIds() const { return Base::Size(); }
/// @brief Return the number of free/unused ids in the HashTable.
/// Return the number of free/unused ids in the HashTable.
int NumFreeIds() const { return unused.Size(); }
/** @brief Return true if item 'id' exists in (is used by) the container.
/** @brief Return true if item @a id exists in (is used by) the container.
@param[in] id Index of the item in the underlying BlockArray<T>.
@@ -241,13 +243,13 @@ public:
@param[in] id Index of the item in the underlying BlockArray<T>.
@warning Its id will be reused by newly added items. */
@warning Its @a id will be reused by newly added items. */
void Delete(int id);
/// @brief Remove all items.
/// Remove all items.
void DeleteAll();
/** @brief Allocate an item at 'id'. Enlarge the underlying BlockArray if
/** @brief Allocate an item at @a id. Enlarge the underlying BlockArray if
necessary.
@param[in] id Index of the item in the underlying BlockArray<T>.
@@ -255,7 +257,7 @@ public:
@param[in] p2 Second part of the key.
@warning This is a special purpose method used when loading data from a
file. Does nothing if the slot 'id' has already been allocated. */
file. Does nothing if the slot @a id has already been allocated. */
void Alloc(int id, int p1, int p2);
/** @brief Reinitialize the internal list of unallocated items.
@@ -287,13 +289,13 @@ public:
@warning This method should only be called if T inherits from Hashed4. */
void Reparent(int id, int new_p1, int new_p2, int new_p3, int new_p4 = -1);
/// @brief Return total size of allocated memory (tables plus items), in bytes.
/// Return total size of allocated memory (tables plus items), in bytes.
std::size_t MemoryUsage() const;
/// @brief Write details of the memory usage to the mfem output stream.
/// Write details of the memory usage to the mfem output stream.
void PrintMemoryDetail() const;
/// @brief Print a histogram of bin sizes for debugging purposes.
/// Print a histogram of bin sizes for debugging purposes.
void PrintStats() const;
class iterator : public Base::iterator
@@ -346,7 +348,7 @@ public:
protected:
/** The hash table: each bin is a linked list of items. For each non-empty
bin, this arrays stores the 'id' of the first item in the list, or -1
bin, this arrays stores the "id" of the first item in the list, or -1
if the bin is empty. */
int* table;
@@ -384,11 +386,11 @@ protected:
{ return (984120265ul*p1 + 125965121ul*p2 + 495698413ul*p3) & mask; }
// Delete() and Reparent() use one of these:
/// @brief Hash function for items of type T that inherit from Hashed2.
/// Hash function for items of type T that inherit from Hashed2.
inline int Hash(const Hashed2& item) const
{ return Hash(item.p1, item.p2); }
/// @brief Hash function for items of type T that inherit from Hashed4.
/// Hash function for items of type T that inherit from Hashed4.
inline int Hash(const Hashed4& item) const
{ return Hash(item.p1, item.p2, item.p3); }
@@ -415,15 +417,15 @@ protected:
@warning This method should only be called if T inherits from Hashed4. */
int SearchList(int id, int p1, int p2, int p3) const;
/** @brief Insert the item 'id' into bin 'idx'.
/** @brief Insert the item @a id into bin @a idx.
@param[in] idx The bin/bucket index.
@param[in] id The index of the item in the BlockArray<T>.
@param[in] item The item to insert at the beginning of the linked list.
@warning The method only works with bin 'idx' and does not check the
overall fill factor of the hash table. If appropriate,
use CheckRehash() for that. */
@warning The method only works with bin @a idx and does not check the
overall fill factor of the hash table. If appropriate, use
CheckRehash() for that. */
inline void Insert(int idx, int id, T &item);
/** @brief Unlink an item @a id from the linked list of bin @a idx.
@@ -444,11 +446,11 @@ protected:
and reinsert all items into the new bins.
NOTE: Rehashing is computationally expensive (O(N) in the number of items),
but since it is only done rarely (when the number of items doubles),
the amortized complexity of inserting an item is still O(1). */
but since it is only done rarely (when the number of items doubles), the
amortized complexity of inserting an item is still O(1). */
void DoRehash();
/** @brief Return the size of the bin "idx".
/** @brief Return the size of the bin @a idx.
@param[in] idx The index of the bin.
@return The size of the bin. */
+5 -2
View File
@@ -1384,8 +1384,11 @@ void MemoryManager::Insert(void *h_ptr, size_t bytes,
{
auto &m = res.first->second;
MFEM_VERIFY(m.bytes >= bytes && m.h_mt == h_mt &&
(m.d_mt == d_mt || (d_mt == MemoryType::DEFAULT &&
m.d_mt == GetDualMemoryType(h_mt))),
(m.d_mt == d_mt ||
(d_mt == MemoryType::DEFAULT &&
m.d_mt == GetDualMemoryType(h_mt)) ||
(m.d_mt == MemoryType::DEFAULT &&
d_mt == GetDualMemoryType(m.h_mt))),
"Address already present with different attributes!");
#ifdef MFEM_TRACK_MEM_MANAGER
mfem::out << "[mfem memory manager]: repeated registration of h_ptr: "
+30 -11
View File
@@ -12,7 +12,6 @@
#ifndef MFEM_REDUCERS_HPP
#define MFEM_REDUCERS_HPP
#include "array.hpp"
#include "forall.hpp"
#include <cmath>
@@ -466,7 +465,7 @@ template<class B, class R> struct reduction_kernel
/// helper for computing the reduction block size
static int block_log2(unsigned N)
{
#if defined(__GNUC__) or defined(__clang__)
#if defined(__GNUC__) || defined(__clang__)
return N ? (sizeof(unsigned) * 8 - __builtin_clz(N)) : 0;
#elif defined(_MSC_VER)
return sizeof(unsigned) * 8 - __lzclz(N);
@@ -514,6 +513,33 @@ template<class B, class R> struct reduction_kernel
}
}
};
template <class T>
class ReductionWorkspace
{
Memory<T> workspace;
static ReductionWorkspace &Instance()
{
static ReductionWorkspace instance;
return instance;
}
~ReductionWorkspace() { workspace.Delete(); }
public:
static T *Get(int num_blocks)
{
ReductionWorkspace &instance = Instance();
if (instance.workspace.Capacity() < num_blocks)
{
instance.workspace.Delete();
instance.workspace.New(num_blocks, MemoryType::HOST_PINNED);
}
return instance.workspace;
}
};
}
/**
@@ -529,8 +555,7 @@ template<class B, class R> struct reduction_kernel
@tparam T value_type to operate on
*/
template <class T, class B, class R>
void reduce(int N, T &res, B &&body, const R &reducer, bool use_dev,
Array<T> &workspace)
void reduce(int N, T &res, B &&body, const R &reducer, bool use_dev)
{
if (N == 0)
{
@@ -567,13 +592,7 @@ void reduce(int N, T &res, B &&body, const R &reducer, bool use_dev,
red_type red{nullptr, std::forward<B>(body), reducer, N, items_per_thread};
// allocate res to fit block_size entries
auto mt = workspace.GetMemory().GetMemoryType();
if (mt != MemoryType::HOST_PINNED && mt != MemoryType::MANAGED)
{
mt = MemoryType::HOST_PINNED;
}
workspace.SetSize(nblocks, mt);
auto work = workspace.HostWrite();
auto work = internal::ReductionWorkspace<T>::Get(nblocks);
red.work = work;
forall_2D(nblocks, block_size, 1, std::move(red));
// wait for results
+258
View File
@@ -0,0 +1,258 @@
// 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_SCAN_HPP
#define MFEM_SCAN_HPP
#include "backends.hpp"
#ifdef MFEM_USE_CUDA
#include <cub/device/device_scan.cuh>
#define MFEM_CUB_NAMESPACE cub
#elif defined(MFEM_USE_HIP)
#include <hipcub/device/device_scan.hpp>
#define MFEM_CUB_NAMESPACE hipcub
#endif
#include <functional>
#include <numeric>
#include <cstddef>
namespace mfem
{
namespace internal
{
class ScanWorkspace
{
Memory<std::byte> workspace;
static ScanWorkspace &Instance()
{
static ScanWorkspace instance;
return instance;
}
~ScanWorkspace() { workspace.Delete(); }
public:
static std::byte *Get(int num_bytes)
{
ScanWorkspace &instance = Instance();
if (Size() < num_bytes)
{
instance.workspace.Delete();
instance.workspace.New(num_bytes);
}
return instance.workspace.Write(MemoryClass::DEVICE, Size());
}
static int Size()
{
return Instance().workspace.Capacity();
}
};
}
/// Equivalent to InclusiveScan(use_dev, d_in, d_out, num_items, std::plus<>{})
template <class InputIt, class OutputIt>
void InclusiveScan(bool use_dev, InputIt d_in, OutputIt d_out, size_t num_items)
{
// forward to InclusiveSum for potentially faster kernels
#if defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP)
if (use_dev && mfem::Device::Allows(Backend::CUDA_MASK | Backend::HIP_MASK))
{
using internal::ScanWorkspace;
size_t bytes = ScanWorkspace::Size();
if (bytes > 0)
{
auto err = MFEM_CUB_NAMESPACE::DeviceScan::InclusiveSum(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, num_items);
#if defined(MFEM_USE_CUDA)
if (err == cudaSuccess)
{
return;
}
#elif defined(MFEM_USE_HIP)
if (err == hipSuccess)
{
return;
}
#endif
}
// try allocating a larger buffer
bytes = 0;
// get size of buffer
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::InclusiveSum(
nullptr, bytes, d_in, d_out, num_items));
// resize buffer (in ScanWorkspace::Get) and try again
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::InclusiveSum(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, num_items));
return;
}
#endif
#if 0
std::inclusive_scan(d_in, d_in + num_items, d_out);
#else
// work-around to some compilers not fully supporting C++17
if (num_items)
{
*d_out = *d_in;
auto prev = d_out;
++d_in;
++d_out;
for (size_t i = 1; i < num_items; ++i)
{
*d_out = (*prev) + (*d_in);
prev = d_out;
++d_in;
++d_out;
}
}
#endif
}
/// @brief Performs an inclusive scan of [d_in, d_in+num_items) -> [d_out,
/// d_out+num_items). This call is potentially asynchronous on the device.
///
/// @a d_in input start.
/// @a d_out output start. Can perform in-place scans with d_out = d_in
/// @a scan_op binary scan functor. Must be associative. If only weakly
/// associative (i.e. floating point addition) results are not deterministic. On
/// device this must also be commutative.
template <class InputIt, class OutputIt, class ScanOp>
void InclusiveScan(bool use_dev, InputIt d_in, OutputIt d_out, size_t num_items,
ScanOp scan_op)
{
#if defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP)
if (use_dev && mfem::Device::Allows(Backend::CUDA_MASK | Backend::HIP_MASK))
{
using internal::ScanWorkspace;
size_t bytes = ScanWorkspace::Size();
if (bytes > 0)
{
auto err = MFEM_CUB_NAMESPACE::DeviceScan::InclusiveScan(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, scan_op,
num_items);
#if defined(MFEM_USE_CUDA)
if (err == cudaSuccess)
{
return;
}
#elif defined(MFEM_USE_HIP)
if (err == hipSuccess)
{
return;
}
#endif
}
// try allocating a larger buffer
bytes = 0;
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::InclusiveScan(
nullptr, bytes, d_in, d_out, scan_op, num_items));
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::InclusiveScan(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, scan_op,
num_items));
return;
}
#endif
#if 0
std::inclusive_scan(d_in, d_in + num_items, d_out, scan_op);
#else
// work-around to some compilers not fully supporting C++17
if (num_items)
{
*d_out = *d_in;
auto prev = d_out;
++d_in;
++d_out;
for (size_t i = 1; i < num_items; ++i)
{
*d_out = scan_op(*prev, *d_in);
prev = d_out;
++d_in;
++d_out;
}
}
#endif
}
/// Performs an exclusive scan of [d_in, d_in+num_items) -> [d_out,
/// d_out+num_items). This call is potentially asynchronous on the device.
/// @a d_in input start.
/// @a d_out output start. Can perform in-place scans with d_out = d_in
/// @a scan_op binary scan functor. Must be associative. If only weakly
/// associative (i.e. floating point addition) results are not deterministic. On
/// device this must also be commutative.
template <class InputIt, class OutputIt, class T, class ScanOp>
void ExclusiveScan(bool use_dev, InputIt d_in, OutputIt d_out, size_t num_items,
T init_value, ScanOp scan_op)
{
#if defined(MFEM_USE_CUDA) || defined(MFEM_USE_HIP)
if (use_dev && mfem::Device::Allows(Backend::CUDA_MASK | Backend::HIP_MASK))
{
using internal::ScanWorkspace;
size_t bytes = ScanWorkspace::Size();
if (bytes)
{
auto err = MFEM_CUB_NAMESPACE::DeviceScan::ExclusiveScan(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, scan_op,
init_value, num_items);
#if defined(MFEM_USE_CUDA)
if (err == cudaSuccess)
{
return;
}
#elif defined(MFEM_USE_HIP)
if (err == hipSuccess)
{
return;
}
#endif
}
// try allocating a larger buffer
bytes = 0;
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::ExclusiveScan(
nullptr, bytes, d_in, d_out, scan_op, init_value, num_items));
MFEM_GPU_CHECK(MFEM_CUB_NAMESPACE::DeviceScan::ExclusiveScan(
ScanWorkspace::Get(bytes), bytes, d_in, d_out, scan_op,
init_value, num_items));
return;
}
#endif
#if 0
std::exclusive_scan(d_in, d_in + num_items, d_out, init_value, scan_op);
#else
// work-around to some compilers not fully supporting C++17
if (num_items)
{
for (size_t i = 0; i < num_items; ++i)
{
auto next = scan_op(init_value, *d_in);
*d_out = init_value;
init_value = next;
++d_out;
++d_in;
}
}
#endif
}
/// Equivalent to ExclusiveScan(use_dev, d_in, d_out, num_items, init_value,
/// std::plus<>{})
template <class InputIt, class OutputIt, class T>
void ExclusiveScan(bool use_dev, InputIt d_in, OutputIt d_out, size_t num_items,
T init_value)
{
ExclusiveScan(use_dev, d_in, d_out, num_items, init_value, std::plus<> {});
}
} // namespace mfem
#undef MFEM_CUB_NAMESPACE
#endif
+2 -2
View File
@@ -68,7 +68,7 @@ void MagmaBatchedLinAlg::AddMult(const DenseTensor &A, const Vector &x,
auto d_x = x.Read(); // Shape (n, k, n_mat);
auto d_y = beta == 0.0 ? y.Write() : y.ReadWrite(); // Shape (m, k, n_mat);
magma_trans_t magma_op = tr ? MagmaNoTrans : MagmaTrans;
magma_trans_t magma_op = tr ? MagmaTrans : MagmaNoTrans;
MFEM_MAGMABLAS_PREFIX(gemm_batched_strided)(
magma_op, MagmaNoTrans, m, k, n, alpha, d_A, m, m*n, d_x, n, n*k,
@@ -167,7 +167,7 @@ void MagmaBatchedLinAlg::Invert(DenseTensor &A) const
magma_int_t status;
status = MFEM_MAGMA_PREFIX(getrf_batched)(
n, n, d_A_ptrs, n, d_P_ptrs, info_array.Write(), n_mat,
n, n, d_LU_ptrs, n, d_P_ptrs, info_array.Write(), n_mat,
Magma::Queue());
MFEM_VERIFY(status == MAGMA_SUCCESS, "");
+13 -11
View File
@@ -561,7 +561,8 @@ void CopyMemory(Memory<T> &src, Memory<T> &dst, MemoryClass dst_mc,
this function. In particular, @a dst should be empty or deleted before
calling this function. */
template <typename SrcT, typename DstT>
void CopyConvertMemory(Memory<SrcT> &src, MemoryClass dst_mc, Memory<DstT> &dst)
void CopyConvertMemory(const Memory<SrcT> &src, MemoryClass dst_mc,
Memory<DstT> &dst)
{
auto capacity = src.Capacity();
dst.New(capacity, GetMemoryType(dst_mc));
@@ -842,8 +843,8 @@ static int GetPartitioningArraySize(MPI_Comm comm)
///
/// Both @a row and @a col are partitioning arrays, whose length is returned by
/// GetPartitioningArraySize(), see @ref hypre_partitioning_descr.
static bool RowAndColStartsAreEqual(MPI_Comm comm, HYPRE_BigInt *rows,
HYPRE_BigInt *cols)
static bool RowAndColStartsAreEqual(MPI_Comm comm, const HYPRE_BigInt *rows,
const HYPRE_BigInt *cols)
{
const int part_size = GetPartitioningArraySize(comm);
bool are_equal = true;
@@ -1131,7 +1132,7 @@ HypreParMatrix::HypreParMatrix(
HypreParMatrix::HypreParMatrix(MPI_Comm comm,
HYPRE_BigInt *row_starts,
HYPRE_BigInt *col_starts,
SparseMatrix *sm_a)
const SparseMatrix *sm_a)
{
MFEM_ASSERT(sm_a != NULL, "invalid input");
MFEM_VERIFY(!HYPRE_AssumedPartitionCheck(),
@@ -1145,7 +1146,7 @@ HypreParMatrix::HypreParMatrix(MPI_Comm comm,
hypre_CSRMatrixSetDataOwner(csr_a,0);
MemoryIJData mem_a;
CopyCSR(sm_a, mem_a, csr_a, false);
CopyCSR(const_cast<SparseMatrix*>(sm_a), mem_a, csr_a, false);
hypre_CSRMatrixSetRownnz(csr_a);
// NOTE: this call creates a matrix on host even when device support is
@@ -1307,10 +1308,11 @@ HypreParMatrix::HypreParMatrix(MPI_Comm comm, int id, int np,
HypreParMatrix::HypreParMatrix(MPI_Comm comm, int nrows,
HYPRE_BigInt glob_nrows,
HYPRE_BigInt glob_ncols,
int *I, HYPRE_BigInt *J,
real_t *data,
HYPRE_BigInt *rows,
HYPRE_BigInt *cols)
const int *I,
const HYPRE_BigInt *J,
const real_t *data,
const HYPRE_BigInt *rows,
const HYPRE_BigInt *cols)
{
Init();
@@ -2327,8 +2329,8 @@ void HypreParMatrix::Threshold(real_t threshold)
/* TODO: GenerateDiagAndOffd() uses an int array of size equal to the number
of columns in csr_A_wo_z which is the global number of columns in A. This
does not scale well. */
ierr += GenerateDiagAndOffd(csr_A_wo_z,parcsr_A_ptr,
col_start,col_end);
ierr += hypre_GenerateDiagAndOffd(csr_A_wo_z,parcsr_A_ptr,
col_start,col_end);
ierr += hypre_CSRMatrixDestroy(csr_A_wo_z);
+15 -4
View File
@@ -25,11 +25,18 @@
#define HYPRE_TIMING
// hypre header files
#if MFEM_HYPRE_VERSION < 30000
#include <seq_mv.h>
#include <temp_multivector.h>
#else
#include <_hypre_seq_mv.h>
#include <_hypre_lobpcg_temp_multivector.h>
#endif
#include <_hypre_parcsr_mv.h>
#include <_hypre_parcsr_ls.h>
#include <HYPRE_parcsr_ls.h>
#ifdef HYPRE_COMPLEX
#error "MFEM does not work with HYPRE's complex numbers support"
#endif
@@ -53,6 +60,10 @@
#error "MFEM_USE_HIP=YES is required when HYPRE is built with HIP!"
#endif
#if MFEM_HYPRE_VERSION > 21500
#define HYPRE_AssumedPartitionCheck() 1
#endif
namespace mfem
{
@@ -554,7 +565,7 @@ public:
partitioning arrays @a row_starts and @a col_starts. */
HypreParMatrix(MPI_Comm comm, HYPRE_BigInt *row_starts,
HYPRE_BigInt *col_starts,
SparseMatrix *a); // constructor with 4 arguments, v2
const SparseMatrix *a); // constructor with 4 arguments, v2
/// Creates boolean block-diagonal rectangular parallel matrix.
/** The new HypreParMatrix does not take ownership of any of the input
@@ -583,9 +594,9 @@ public:
arrays (so they can be deleted). See @ref hypre_partitioning_descr "here"
for a description of the partitioning arrays @a rows and @a cols. */
HypreParMatrix(MPI_Comm comm, int nrows, HYPRE_BigInt glob_nrows,
HYPRE_BigInt glob_ncols, int *I, HYPRE_BigInt *J,
real_t *data, HYPRE_BigInt *rows,
HYPRE_BigInt *cols); // constructor with 9 arguments
HYPRE_BigInt glob_ncols, const int *I, const HYPRE_BigInt *J,
const real_t *data, const HYPRE_BigInt *rows,
const HYPRE_BigInt *cols); // constructor with 9 arguments
/** @brief Copy constructor for a ParCSR matrix which creates a deep copy of
structure and data from @a P. */
+3 -3
View File
@@ -1916,9 +1916,9 @@ hypre_ParCSRMatrixAdd(hypre_ParCSRMatrix *A,
/* FIXME: GenerateDiagAndOffd() uses an int array of size equal to the
number of columns in csr_C_temp which is the global number of columns
in A and B. This does not scale well. */
ierr += GenerateDiagAndOffd(csr_C_temp, C,
hypre_ParCSRMatrixFirstColDiag(A),
hypre_ParCSRMatrixLastColDiag(A));
ierr += hypre_GenerateDiagAndOffd(csr_C_temp, C,
hypre_ParCSRMatrixFirstColDiag(A),
hypre_ParCSRMatrixLastColDiag(A));
/* delete CSR version of C */
ierr += hypre_CSRMatrixDestroy(csr_C_temp);
+4
View File
@@ -21,6 +21,10 @@
// hypre header files
#include <_hypre_parcsr_mv.h>
#if MFEM_HYPRE_VERSION < 30000
#define hypre_GenerateDiagAndOffd GenerateDiagAndOffd
#endif
// Older hypre versions do not define HYPRE_BigInt and HYPRE_MPI_BIG_INT, so we
// define them here for backward compatibility.
#if MFEM_HYPRE_VERSION < 21600
+1 -1
View File
@@ -1019,7 +1019,7 @@ MMA::MMA(MPI_Comm comm_, int nVar, int nCon, real_t *xval, int iter)
mSubProblem.reset(new MMA::MMASubSvanberg(*this, nVar, nCon));
}
MMA::MMA(MPI_Comm comm_, const int & nVar, const int & nCon,
MMA::MMA(MPI_Comm comm_, const int nVar, const int nCon,
const Vector & xval, int iter) : MMA(comm_, nVar, nCon, xval.GetData(), iter)
{}
#endif
+166 -31
View File
@@ -25,25 +25,42 @@ namespace mfem
// forward declaration
class Vector;
/** \brief MMA (Method of Moving Asymptotes) solves an optimization problem
* of the form:
/** \brief MMA (Method of Moving Asymptotes) solves a nonlinear optimization
* problem involving an objective function, inequality constraints,
* and variable bounds.
*
* Find x that minimizes the objective function F(x),
* subject to C(x)_i <= 0, for all i = 1, ... m
* x_lo <= x <= x_hi.
* \details
* This class finds ${\bf x} \in R^n$ that solves the following nonlinear
* program:
* $$
* \begin{array}{ll}
* \min_{{\bf x} \in R^n} & F({\bf x})\\
* \textrm{subject to} & C({\bf x})_i \leq 0,\quad
* \textrm{for all}\quad i = 1,\ldots m\\
* & {\bf x}_{\textrm{lo}} \leq {\bf x} \leq
* {\bf x}_{\textrm{hi}}.
* \end{array}
* $$
* Here $F : R^n \to R$ is the objective function, and
* $C : R^n \to R^m$ is a set of $m$ inequality constraints. The
* variable bounds are sometimes called box constraints. By
* convention, the routine seeks ${\bf x}$ that minimizes the
* objective function, $F$. Maximization problems should be
* reformulated as a minimization of $-F$.
*
* The objective functions are replaced by convex functions
* chosen based on gradient information, and solved using a dual method.
* The unique optimal solution of this subproblem is returned as the next
* iteration point. Optimality is determined by the KKT conditions.
*
* The "Update" function in MMA advances the optimization and must be called
* in every optimization iteration. Current and previous iteration points
* construct the "moving asymptotes". The design variables, objective function,
* constraints are passed to an approximating subproblem. The design variables
* are updated and returned. Its implementation closely follows the original
* formulation of 'Svanberg, K. (2007). MMA and GCMMA-two methods
* for nonlinear optimization. vol, 1, 1-15.'
* The "Update" function in MMA advances the optimization and must be
* called in every optimization iteration. Current and previous iteration
* points construct the "moving asymptotes". The design variables,
* objective function, constraints are passed to an approximating
* subproblem. The design variables are updated and returned. Its
* implementation closely follows the original formulation of <a
* href="https://people.kth.se/~krille/mmagcmma.pdf">'Svanberg, K. (2007).
* MMA and GCMMA-two methods for nonlinear optimization. vol, 1, 1-15.'</a>
*
* When used in parallel, all Vectors are assumed to be true dof vectors,
* and the operators are expected to be defined for tdof vectors.
@@ -52,46 +69,164 @@ class Vector;
class MMA
{
public:
/// Serial constructor:
/// nVar - number of design parameters;
/// nCon - number of constraints;
/// xval[nVar] - initial parameter values
/**
* \brief Serial constructor
* \param nVar total number of design parameters
* \param nCon number of inequality constraints (i.e., $C$)
* \param xval initial values for design parameters (a pointer
* to \p nVar doubles). Caller retains ownership of
* this pointer/data.
* \param iterationNumber the starting iteration number
*/
MMA(int nVar, int nCon, real_t *xval, int iterationNumber = 0);
/**
* \brief Serial constructor
* \param nVar total number of design parameters
* \param nCon number of inequality constraints (i.e., $C$)
* \param xval initial values for design parameters (size should
* be \p nVar). Caller retains ownership of
* this Vector.
* \param iterationNumber the starting iteration number
*/
MMA(const int nVar, int nCon, Vector & xval, int iterationNumber = 0);
#ifdef MFEM_USE_MPI
/// Parallel constructor:
/// comm_ - communicator
/**
* \brief Parallel constructor
* \param comm_ the MPI communicator participating in the NLP solve
* \param nVar number of design parameters on this MPI rank
* \param nCon total number of inequality constraints (i.e., $C$).
* Every MPI rank provides the same value here.
* \param xval initial values for design parameters on this MPI rank
* (a pointer to \p nVar doubles). Caller retains ownership
* of this pointer/data.
* \param iterationNumber the starting iteration number. All MPI ranks
* should pass in the same value here.
*
* \details
* Each MPI rank has a subset of the total design variable vector, and
* calls for that MPI rank always address its subset of the design
* variable vector and gradients with respect to its subset of the design
* variable vector.
*
* If you wanted to determine the global number of design variables, it
* would be determined as follows:
* \code{.cpp}
* int globalDesignVars;
* MPI_Allreduce(&nVar, &globalDesignVars, 1, MPI_INT, MPI_SUM, comm_);
* \endcode
*/
MMA(MPI_Comm comm_, int nVar, int nCon, real_t *xval,
int iterationNumber = 0);
MMA(MPI_Comm comm_, const int & nVar, const int & nCon, const Vector & xval,
/**
* \brief Parallel constructor
* \param comm_ the MPI communicator participating in the NLP solve
* \param nVar number of design parameters on this MPI rank
* \param nCon total number of inequality constraints (i.e., $C$).
* Every MPI rank provides the same value here.
* \param xval initial values for design parameters (size should
* be \p nVar). Caller retains ownership of
* this Vector.
* \param iterationNumber the starting iteration number. All MPI ranks
* should pass in the same value here.
*
* \details
* Each MPI rank has a subset of the total design variable vector, and
* calls for that MPI rank always address its subset of the design
* variable vector and gradients with respect to its subset of the design
* variable vector.
*
* If you wanted to determine the global number of design variables, it
* would be determined as follows:
* \code{.cpp}
* int globalDesignVars;
* MPI_Allreduce(&nVar, &globalDesignVars, 1, MPI_INT, MPI_SUM, comm_);
* \endcode
*/
MMA(MPI_Comm comm_, const int nVar, const int nCon, const Vector & xval,
int iterationNumber = 0);
#endif
/// Destructor
~MMA();
/// Update the optimization parameters
/// dfdx[nVar] - gradients of the objective
/// gx[nCon] - values of the constraints
/// dgdx[nCon*nVar] - gradients of the constraints ordered
/// constraint by constraint, e.g. {dg0dx0, dg0dx1, ... ,}
/// {dg1dx0, dg1dx1, ... ,}
/// xmin[nVar] - lower bounds
/// xmax[nVar] - upper bounds
/// xval[nVar] - input/output for optimization parameters
/**
* \brief Update the optimization parameters for a constrained
* nonlinear program
* \param dfdx vector of size nVar holding the gradients of the
* objective function with respect to
* the design variables,
* $\frac{\partial F}{\partial {\bf x}_i}$
* for each variable on this rank.
* \param gx vector of size nCon holding the values of the
* inequality constraints. Every MPI rank should
* pass in the same values here.
* \param dgdx vector of size $\textrm{nCon}\cdot\textrm{nVar}$
* holding the gradients of the constraints in
* row-major order. For example, {dg0dx0, dg0dx1, ...,}
* {dg1dx0, dg1dx1, ..., }, ...
* \param xmin vector of size nVar holding the lower bounds on
* the design values. \p xmin and \p xmax are
* the box constraints.
* \param xmax vector of size nVar holding the upper bounds on
* the design values. \p xmin and \p xmax are
* the box constraints.
* \param xval vector of size nVar. On entry, this holds the
* value of the design variables where the objective,
* constraints, and their gradients were evaluated.
* On exit, this holds the result of the MMA iteration,
* the next design variable value to use.
*
* \details
* The caller retains ownership of all Vectors passed into this method.
*/
void Update(const Vector& dfdx,
const Vector& gx, const Vector& dgdx,
const Vector& xmin, const Vector& xmax,
Vector& xval);
/// Unconstrained
/**
* \brief Update the optimization parameters for an unconstrained
* nonlinear program
* \param dfdx vector of size nVar holding the gradients of the
* objective function with respect to
* the design variables,
* $\frac{\partial F}{\partial {\bf x}_i}$
* for each variable on this rank.
* \param xmin vector of size nVar holding the lower bounds on
* the design values. \p xmin and \p xmax are
* the box constraints.
* \param xmax vector of size nVar holding the upper bounds on
* the design values. \p xmin and \p xmax are
* the box constraints.
* \param xval vector of size nVar. On entry, this holds the
* value of the design variables where the objective,
* constraints, and their gradients were evaluated.
* On exit, this holds the result of the MMA iteration,
* the next design variable value to use.
*
* \details
* The caller retains ownership of all Vectors passed into this method.
* This should be used when the number of inequality constraints is zero.
*/
void Update( const Vector& dfdx,
const Vector& xmin, const Vector& xmax,
Vector& xval);
/**
* \brief Change the iteration number
* \param iterationNumber the new iteration number
*/
void SetIteration( int iterationNumber ) { iter = iterationNumber; };
int GetIteration() { return iter; };
/// Return the current iteration number
int GetIteration() const { return iter; };
/**
* \brief change the print level
* \param print_lvl the new print level
*/
void SetPrintLevel(int print_lvl) { print_level = print_lvl; }
protected:
@@ -123,7 +258,7 @@ private:
/// KKT norm
real_t kktnorm;
/// intialization state
/// initialization state
bool isInitialized = false;
#ifdef MFEM_USE_MPI
+14
View File
@@ -1356,6 +1356,7 @@ void PetscParMatrix::MakeWrapper(MPI_Comm comm, const Operator* op, Mat *A)
PETSC_DECIDE,PETSC_DECIDE); PCHKERRQ(A,ierr);
ierr = MatSetType(*A,MATSHELL); PCHKERRQ(A,ierr);
ierr = MatShellSetContext(*A,(void *)op); PCHKERRQ(A,ierr);
#if PETSC_VERSION_LT(3,24,0)
ierr = MatShellSetOperation(*A,MATOP_MULT,
(void (*)())__mfem_mat_shell_apply);
PCHKERRQ(A,ierr);
@@ -1367,6 +1368,19 @@ void PetscParMatrix::MakeWrapper(MPI_Comm comm, const Operator* op, Mat *A)
PCHKERRQ(A,ierr);
ierr = MatShellSetOperation(*A,MATOP_DESTROY,
(void (*)())__mfem_mat_shell_destroy);
#else
ierr = MatShellSetOperation(*A,MATOP_MULT,
(PetscErrorCodeFn*)__mfem_mat_shell_apply);
PCHKERRQ(A,ierr);
ierr = MatShellSetOperation(*A,MATOP_MULT_TRANSPOSE,
(PetscErrorCodeFn*)__mfem_mat_shell_apply_transpose);
PCHKERRQ(A,ierr);
ierr = MatShellSetOperation(*A,MATOP_COPY,
(PetscErrorCodeFn*)__mfem_mat_shell_copy);
PCHKERRQ(A,ierr);
ierr = MatShellSetOperation(*A,MATOP_DESTROY,
(PetscErrorCodeFn*)__mfem_mat_shell_destroy);
#endif
#if defined(_USE_DEVICE)
MemoryType mt = GetMemoryType(op->GetMemoryClass());
if (mt == MemoryType::DEVICE || mt == MemoryType::MANAGED)

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