Compare commits

...
Author SHA1 Message Date
Will Pazner 600b30c661 Add more annotations, modifying LOR solvers miniapp for benchmarking 2025-07-10 20:39:40 -07:00
Will Pazner ad9ba9d1ba Add a couple more perf function annotations 2025-07-10 15:26:57 -07:00
Will Pazner 3d2f81530a Merge remote-tracking branch 'origin/ceed-solver-bps' into ceed-bp-bps-tests 2025-07-09 09:34:29 -07:00
Veselin Dobrev 539f958a9b Fix merge issue 2025-07-09 01:01:59 -07:00
Veselin Dobrev a0b2a77b69 Merge branch 'master' into ceed-solver-bps 2025-07-09 00:50:01 -07:00
Veselin Dobrev 755e4501e1 Merge pull request #4899 from mfem/ubsan
[Github] Sanitizers action
2025-07-08 23:02:02 -07:00
Veselin Dobrev 1ec73c3bf6 Merge branch 'master' into ubsan 2025-07-08 19:36:26 -07:00
Veselin Dobrev e2292a93b8 MFEM_PERF_* annotations: added options to enable GPU-stream- and
MPI-synchronizations at the start and at the end of annotation regions. These
synchronizations can be enabled or disabled (default) in code via the new
macros: MFEM_PERF_SYNC, MFEM_PERF_SYNC_STREAM, and MFEM_PERF_SYNC_MPI; the
environment variables with the same names can be set to 0/1 to control the
synchronization as well.
2025-07-08 19:23:09 -07:00
Will Pazner 22384799dd Add some Caliper annotations 2025-07-08 10:33:22 -07:00
Veselin Dobrev a5943b33d3 Merge branch 'pbench_ceed' into ceed-bp-bps-tests 2025-07-07 18:47:16 -07:00
Veselin Dobrev 9821670831 In pbench_ceed.cpp, fix the BK* tests to use E-to-E vector action 2025-07-07 18:44:40 -07:00
Veselin Dobrev d13a8bfa22 Merge branch 'device-conf-prolongation-optim' into ceed-bp-bps-tests 2025-07-06 10:57:47 -07:00
Tzanio Kolev 8b000dd222 Merge pull request #4898 from mfem/dfem-bugfixes
Fix UB in dFEM
2025-07-06 10:51:12 -07:00
Tzanio Kolev a4d6889332 Merge pull request #4913 from mfem/tmop-memory-warning-fix
TMOP uninitialized memory warning fix
2025-07-06 10:50:38 -07:00
Veselin Dobrev e38eeccc2e Merge branch 'pbench_ceed' into ceed-bp-bps-tests 2025-07-06 10:29:52 -07:00
Veselin Dobrev fce5095ba0 Merge branch 'master' into ceed-solver-bps
Resolved conflicts:
   .gitignore
   makefile
2025-07-05 14:00:06 -07:00
Veselin Dobrev 408c8e9468 Redefine MFEM_MPI_CXX_BOOL as MPI_UNSIGNED_CHAR because in some
implementations MFEM_MPI_CXX_BOOL does not work correctly.
2025-07-05 13:56:13 -07:00
Veselin Dobrev 1b56b05b8d Merge branch 'master' into pbench_ceed 2025-07-05 13:54:39 -07:00
Veselin Dobrev cc279f9ea5 Redefine MFEM_MPI_CXX_BOOL as MPI_UNSIGNED_CHAR because in some
implementations MFEM_MPI_CXX_BOOL does not work correctly.
2025-07-05 13:52:29 -07:00
John Camier 9c8874a38c Merge branch 'master' into ubsan 2025-07-03 16:06:57 -07:00
Tzanio Kolev bb2460cbd0 Merge branch 'master' into tmop-memory-warning-fix 2025-07-02 18:50:36 -07:00
Tzanio Kolev 0648e50e70 Merge pull request #4843 from mfem/netcdf-single
Write Exodus meshes with real_t instead of double
2025-07-02 11:45:02 -07:00
camierjs 45e8125fd6 Merge branch 'master' into ubsan 2025-07-02 07:33:56 -07:00
Tzanio Kolev 20cd965ed8 Merge branch 'master' into tmop-memory-warning-fix 2025-07-01 12:54:18 -07:00
Tzanio Kolev 1fda9c2391 Merge branch 'master' into netcdf-single 2025-07-01 12:46:55 -07:00
Tzanio Kolev 2cec0353b1 Merge pull request #4757 from mfem/hip-unit-tests
Added general GPU and CUDA/HIP-specific unit tests
2025-07-01 12:46:18 -07:00
Tzanio Kolev 9d22775395 Merge pull request #4822 from mfem/gpu-thread-direct
Direct threadblock loops
2025-07-01 12:43:38 -07:00
Tzanio Kolev 94625fad8f Merge pull request #4870 from mfem/vtkhdf-chunk-fix
Improve chunking in VTKHDF writer
2025-07-01 12:42:45 -07:00
Tzanio Kolev c9a9c71ff5 Merge pull request #4866 from rfhaque/master
Decompose det.cpp into separate source and header files
2025-07-01 12:41:57 -07:00
Tzanio Kolev 764d9919b5 Merge pull request #4892 from mfem/hughcars/missing-host-read-write-fix
Fix missing HostReadWrite for Nodes
2025-07-01 12:40:40 -07:00
Tzanio Kolev 8efbd4e46f Merge branch 'master' into netcdf-single 2025-07-01 12:00:59 -07:00
John Camier b94ac358e4 Merge branch 'master' into hip-unit-tests 2025-07-01 09:51:43 -07:00
John Camier d4d4b79522 Merge branch 'master' into vtkhdf-chunk-fix 2025-07-01 09:51:12 -07:00
John Camier 120f4cb043 Merge branch 'master' into hughcars/missing-host-read-write-fix 2025-07-01 09:50:46 -07:00
camierjs 4f1597c1bc CHANGELOG: MFEM_FOREACH_THREAD_DIRECT in GPU computing 2025-06-30 18:16:56 -07:00
John Camier 56beedbdcb Merge branch 'master' into gpu-thread-direct 2025-06-30 18:06:23 -07:00
camierjs 520a9c5125 On branch: master, next & remove debug mode 2025-06-29 15:39:12 -07:00
camierjs ed521022cd Fine-grained sanitizer jobs 2025-06-29 15:17:44 -07:00
John Camier 7b35a47626 Merge branch 'master' into ubsan 2025-06-28 21:34:36 -07:00
Veselin Dobrev def35c8a15 In HypreParMatrix::EliminateBC, use stream synchronization instead of
device synchronization and do it only when hypre is using GPU-aware MPI.

Remove device synchronization before CUDA/HIP free which implicitly
perform the same synchronization.
2025-06-28 08:05:30 -07:00
John Camier 4e35b3d8f1 Merge branch 'master' into hughcars/missing-host-read-write-fix 2025-06-28 06:26:57 -07:00
Andrew Ho 29681677a1 Merge branch 'master' into hip-unit-tests 2025-06-27 23:01:04 -07:00
Mittal, Ketan 9d72af995f remove unneeded code 2025-06-27 12:50:27 -07:00
Mittal, Ketan b099252dcf fix 2025-06-27 11:50:06 -07:00
camierjs d696fc2cea Merge branch 'master' into ubsan 2025-06-26 17:23:44 -07:00
Andrew Ho 8dcd0d6349 add device syncs in EliminateBC
This should fix potential race conditions in some situations
2025-06-26 15:57:18 -07:00
Veselin Dobrev 2951d5f98e Fix false positives for testing errors in debug mode 2025-06-26 13:51:34 -07:00
Andrew Ho 4b27589abf missing hostread 2025-06-26 11:38:50 -07:00
Riyaz Haque 8338aa85e6 Merge branch 'master' into master 2025-06-26 10:33:31 -07:00
Veselin Dobrev e20bb381ca In Device::Print, show the GPU-aware MPI configuration only when MPI is
being used.
2025-06-26 08:26:20 -07:00
camierjs 89e23a93f5 Re-wrap Miscellaneous at 80 characters 2025-06-26 06:51:30 -07:00
Veselin Dobrev 4816fa0849 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)'.

In Device::Print, show the GPU-aware MPI usage status when using a device
backend.

Update some unit tests to better handle failures.
2025-06-25 11:47:31 -07:00
Riyaz Haque 6fc7a8ca5a Merge branch 'master' into master 2025-06-25 10:33:57 -07:00
Tzanio Kolev 22c8b607dc Merge branch 'master' into hughcars/missing-host-read-write-fix 2025-06-25 08:02:02 -07:00
camierjs 91deab3c75 CHANGELOG w/o blanks-around-headings 2025-06-25 05:48:39 -07:00
Tzanio Kolev 87cee25894 Merge branch 'master' into dfem-bugfixes 2025-06-25 03:58:42 -07:00
Tzanio Kolev 1bcddddfdb Merge branch 'master' into gpu-thread-direct 2025-06-25 03:41:32 -07:00
camierjs da68672955 Rename 'unit' to 'tests' 2025-06-24 17:12:07 -07:00
camierjs a5dd4b862b Rename matrix sanitizer 2025-06-24 17:05:33 -07:00
Veselin Dobrev a3fcb89049 Small doxygen and CHANGELOG updates 2025-06-24 16:59:38 -07:00
Veselin Dobrev bd6f3d51c8 Remove checks for c++17 which is now required 2025-06-24 16:05:47 -07:00
camierjs 8d95f71305 Merge branch 'master' into ubsan 2025-06-24 14:33:07 -07:00
camierjs aee0cb1dc6 Split tests: [unit, examples, miniapps] 2025-06-24 14:33:00 -07:00
John Camier cc0dcaad09 Merge branch 'master' into vtkhdf-chunk-fix 2025-06-23 16:11:40 -07:00
John Camier 960379a43d Merge branch 'master' into ubsan 2025-06-23 16:11:00 -07:00
Hugh Carson 3782ece6b3 Merge branch 'master' into hughcars/missing-host-read-write-fix 2025-06-23 16:14:44 -04:00
camierjs 823c7a952d Asan strdup for Hypre 2.19.0 2025-06-23 09:03:27 -07:00
camierjs 2bc553633e MFEM ex1p ctest 2025-06-23 08:37:47 -07:00
camierjs 8be00d1115 Reuse actions Hypre & Metis caches 2025-06-23 07:45:57 -07:00
Riyaz Haque bdd2bfbb79 Merge with master 2025-06-22 22:35:34 -07:00
John Camier 1ea4cd14da Merge branch 'master' into hip-unit-tests 2025-06-22 20:26:16 -07:00
John Camier 63b72c4153 Merge branch 'master' into gpu-thread-direct 2025-06-22 20:26:08 -07:00
John Camier 054593bd4d Merge branch 'master' into vtkhdf-chunk-fix 2025-06-22 20:25:57 -07:00
camierjs 298a4bc32a Avoid CopyFrom in DeviceConformingProlongationOperator 2025-06-22 18:18:03 -07:00
camierjs 65866edd70 Force MPICXX 2025-06-22 13:52:40 -07:00
camierjs 85b96208f0 Env CTEST fix 2025-06-22 13:22:40 -07:00
camierjs b825a46061 CTEST fix 2025-06-22 13:20:11 -07:00
camierjs d6cbd4f99a ctests options fix 2025-06-22 13:06:35 -07:00
camierjs c691658232 Switch to ctests 2025-06-22 13:05:08 -07:00
camierjs 157ffad537 Simplify, meld back & ninja default nproc 2025-06-22 12:07:07 -07:00
camierjs cfdb7d2a03 Cleanup 2025-06-22 11:10:43 -07:00
camierjs a95a2dc251 Ninja verbose builds & jobs 2025-06-22 10:12:51 -07:00
camierjs a7737e65ab MPI_LIB to LDFLAGS 2025-06-22 09:56:53 -07:00
camierjs dda669bd70 Cleanup & ninja tests/unit/test 2025-06-22 09:54:25 -07:00
camierjs 802345aa91 config-options force CMAKE_CXX_FLAGS_RELEASE 2025-06-22 09:21:59 -07:00
camierjs 1e84d8a9c5 config-options redundant FLAGS 2025-06-22 09:19:43 -07:00
camierjs ce30630f5f config-options to Release 2025-06-22 09:14:21 -07:00
camierjs 0055de1734 yamllint fix 2025-06-22 09:10:28 -07:00
camierjs 954757f7de Ninja test 2025-06-22 09:08:53 -07:00
camierjs 7ad1da790c config-options strip new line 2025-06-22 08:33:11 -07:00
camierjs 4290365459 CMAKE_CXX_FLAGS escapes 2025-06-22 08:25:07 -07:00
camierjs 04d6fa900d CMAKE_CXX_FLAGS escapes 2025-06-22 08:23:42 -07:00
camierjs 9fec57261b CMAKE_CXX_FLAGS escapes 2025-06-22 08:20:48 -07:00
camierjs 9e8a710c92 CLANG_VER 2025-06-22 08:18:26 -07:00
camierjs c5d2f364ac Clang Local ENV 2025-06-22 08:09:04 -07:00
camierjs fca154fbd4 Clang Local 2025-06-22 08:07:56 -07:00
camierjs 804bdb498a CMAKE_EXE_LINKER_FLAGS 2025-06-22 08:06:48 -07:00
camierjs 1546398ee8 Clang Local 2025-06-22 08:04:30 -07:00
camierjs 9237b4cc2e config-options escapes 2025-06-22 08:00:49 -07:00
camierjs a02927005d config-options fix 2025-06-22 07:59:34 -07:00
camierjs 6256741216 config-options addons 2025-06-22 07:41:04 -07:00
camierjs a5fcfa02e8 CMake config-options 2025-06-22 07:28:40 -07:00
camierjs 2fc9b97cb4 .github/workflows/mfem-sanitizers.yml Hypre version 2.19.0 2025-06-22 07:25:01 -07:00
camierjs a5ca81806b .github/workflows/mfem-sanitizers.yml CMake try 2025-06-22 07:19:01 -07:00
camierjs d4513550f9 [asan] miniapps/solvers/bramble_pasciak fix 2025-06-21 20:33:10 -07:00
camierjs d1befb2ea6 yaml lint & re-enable examples & miniapps 2025-06-21 15:33:15 -07:00
camierjs e11a093e72 Setup DofToQuad information mode 2025-06-21 14:36:25 -07:00
camierjs 943234617b hypre-dir metis-dir fix 2025-06-21 13:41:21 -07:00
camierjs 36389366ac Use dirs 2025-06-21 13:19:04 -07:00
camierjs dbd2b5556b Fix ASan suppression file 2025-06-21 13:12:32 -07:00
camierjs 6570ca9c7a mkdir ASAN_DIR 2025-06-21 13:09:28 -07:00
camierjs 71943e120c Split GITHUB_ENV setup 2025-06-21 13:06:03 -07:00
camierjs ef65351cc9 Use LLVM_DIR 2025-06-21 12:34:36 -07:00
camierjs 5a7807055b GITHUB_WORKSPACE 2025-06-21 12:33:47 -07:00
camierjs 08b46a12dc LLVM_DIR w/o env 2025-06-21 12:32:55 -07:00
camierjs 78124a649d env fix 2025-06-21 12:28:57 -07:00
camierjs 0e9d10c53d LLVM_DIR fix 2025-06-21 12:27:55 -07:00
camierjs 911eb07565 Cleanup workflows mfem-sanitizers.yml 2025-06-21 12:26:52 -07:00
camierjs 2efec6390b Fix mfem-sanitizers.yml env (bis) 2025-06-21 12:08:21 -07:00
camierjs 756bc524ab Fix mfem-sanitizers.yml env 2025-06-21 12:06:01 -07:00
camierjs bade193d79 [asan] tests/unit/mesh/test_ncmesh: TetMemory MFEM_USE_MEMALLOC=OFF 2025-06-21 11:56:40 -07:00
camierjs 4363cd2dc2 [asan] tests/unit/linalg/test_hypre_prec 2025-06-21 10:06:20 -07:00
camierjs cbbe609ff8 Merge branch 'master' into ubsan 2025-06-21 08:51:08 -07:00
camierjs 23caac9573 Cleanup 2025-06-21 08:51:01 -07:00
camierjs 3eb0e321f4 [asan] tests/unit/fem/test_var_order.cpp 2025-06-20 20:38:11 -07:00
camierjs 58c276b1d9 Fix HYPRE_TOP_DIR 2025-06-20 17:45:30 -07:00
camierjs b81c67a061 Switch to LLVM 19.1.7 2025-06-20 17:43:57 -07:00
camierjs fbd6aa17e0 Avoid examples 2025-06-20 17:03:16 -07:00
camierjs 199192c0f6 Bump LLVM and HYPRE versions 2025-06-20 17:02:37 -07:00
camierjs 27989c68bd [ubsan] miniapps/solvers/bramble_pasciak seed 2025-06-20 16:57:31 -07:00
camierjs 8ba6b88ee0 CHANGELOG Miscellaneous update 2025-06-20 14:54:12 -07:00
camierjs df03268c01 [asan] miniapps/solvers/block-solvers and div_free_solver leaks 2025-06-20 14:45:08 -07:00
camierjs 7e7322cb86 WIP non coupled DivFreeSolver 2025-06-20 13:43:22 -07:00
camierjs 9d48f23dca [asan] miniapps/solvers/bramble_pasciak.cpp leaks 2025-06-20 09:33:22 -07:00
camierjs 1947748db6 [undefined] miniapps/spde/generate_random_field seed 2025-06-20 06:39:41 -07:00
camierjs 7aca441524 Exclude MemorySanitizer w/ MPI 2025-06-19 20:55:34 -07:00
camierjs 689522beb5 Fix parallel UB and Memory 2025-06-19 20:33:31 -07:00
camierjs c0254e3835 Hardcoded asan.supp path 2025-06-19 19:27:42 -07:00
camierjs 85e1855d1b ASan suppression file path fix 2025-06-19 19:02:12 -07:00
camierjs 51eb3c0026 GITHUB_WORKSPACE asan.supp 2025-06-19 18:59:52 -07:00
camierjs c1c348f24f Add ASan suppression file 2025-06-19 18:53:58 -07:00
camierjs 043c6ee860 LLVM_LDFLAGS for get_hypre_version 2025-06-19 18:34:26 -07:00
camierjs 790b4b9bce MPI_LIB for get_hypre_version 2025-06-19 18:24:14 -07:00
camierjs 69aea4ce75 MPI_INC/LIB 2025-06-19 18:10:23 -07:00
camierjs d7d173a215 MPICXX to c++ 2025-06-19 18:02:19 -07:00
camierjs d7ac021db2 MPI workflow debug, env and compiler 2025-06-19 17:54:17 -07:00
camierjs 2b1d4eb30c Parallel sanitizer action 2025-06-19 17:02:26 -07:00
camierjs c134457322 Revert md style for CHANGELOG 2025-06-19 15:50:00 -07:00
camierjs 33bd60f7c7 Updates changelog with sanitizer details 2025-06-19 15:27:38 -07:00
camierjs 8f3e61a4d3 Meld back to master 2025-06-19 11:02:07 -07:00
camierjs 351806ce77 [MemorySanitizer] use-of-uninitialized-value InvTNewtonSolverBase 2025-06-19 10:59:27 -07:00
camierjs d865ac444e [undefined] mesh_readers ReadHeaderEntry 2025-06-19 10:51:25 -07:00
camierjs b14a9b4663 Meld back toward master 2025-06-19 09:42:35 -07:00
camierjs cdd560e6a2 [undefined] lissajous null pointer socketstream
Meld back toward master
2025-06-19 09:23:57 -07:00
camierjs 4c9ddf93e4 [undefined] KnotVector fix 2025-06-19 08:31:46 -07:00
camierjs 8410c205a3 [undefined] test_sedov DeltaCoefficient SetWeight 2025-06-19 07:48:01 -07:00
camierjs f714dcfd57 Hcurl/Hdiv PA Coefficient coeff2 fix 2025-06-19 07:20:12 -07:00
camierjs 53fb6e3977 [MemorySanitizer] TestFDCalcDivShape dim 2 pt.z 2025-06-19 07:06:10 -07:00
camierjs 678a9db016 [MemorySanitizer] TestCalcDivShape dim 2 pt.z
Avoid overflow in dot product test
2025-06-18 16:46:10 -07:00
camierjs c09246351d [MemorySanitizer] dim 2 pt.z 2025-06-18 16:16:45 -07:00
camierjs 86a8d39e54 Cleanup and allow all tests 2025-06-18 15:23:22 -07:00
camierjs 54854b0908 Cleanup, LLVM flags w/o AddressSanitizer 2025-06-18 15:06:24 -07:00
camierjs 8fa48c2425 Cleanup LLVM LIB & INC 2025-06-18 14:45:12 -07:00
camierjs 3e9b8605f9 llvm-project/runtimes fix 2025-06-18 14:18:17 -07:00
camierjs d84aa5a355 Cleanup 2025-06-18 14:12:49 -07:00
camierjs c11c5cf654 Run LLVM Clone 2025-06-18 13:58:33 -07:00
camierjs 1c8d25c6ed LLVM libcxx Build Steps 2025-06-18 13:54:49 -07:00
camierjs be6d5e2b01 memory_sanitizer 2025-06-18 13:30:38 -07:00
camierjs 8abdc6500e MemorySanitizer code fix 2025-06-18 13:18:18 -07:00
camierjs 21df84f320 address_sanitizer 2025-06-18 13:03:02 -07:00
camierjs 9f5860fda2 Add LLVM_VERSION and ex1 trigger tests 2025-06-18 12:53:48 -07:00
camierjs c5a03405cf Rename mfem-sanitizers 2025-06-18 12:20:03 -07:00
camierjs 33d0d7dbfe Fix stdlib 2025-06-18 12:19:12 -07:00
camierjs c085ec6544 Setup LLVM_SANITIZER 2025-06-18 12:14:24 -07:00
camierjs 1f860fbfaf Cleanup GITHUB_WORKSPACE 2025-06-18 12:01:09 -07:00
camierjs c43420c375 MFEM Checkout 2025-06-18 11:57:42 -07:00
camierjs ecbdd73c54 Dump workspaces 2025-06-18 11:53:23 -07:00
camierjs d30e13c543 github.workspace paths 2025-06-18 11:50:17 -07:00
camierjs ba2b8aea52 Build libc++ 2025-06-18 11:39:06 -07:00
camierjs f1353bd6e9 Change mfem-sanitizers.sh path 2025-06-18 11:33:51 -07:00
camierjs 3cb0bee255 Fix both uses and run keys 2025-06-18 10:46:49 -07:00
camierjs bda0b9aba5 Fix github mfem-sanitizers paths 2025-06-18 10:43:21 -07:00
camierjs e85af79c16 Try MemorySanitizer 2025-06-18 10:39:50 -07:00
John Camier 06c4da64af Merge branch 'master' into hip-unit-tests 2025-06-18 10:22:55 -07:00
John Camier b841c9df71 Merge branch 'master' into gpu-thread-direct 2025-06-18 10:22:43 -07:00
John Camier 31a6329964 Merge branch 'master' into vtkhdf-chunk-fix 2025-06-18 10:22:24 -07:00
camierjs 9f83167010 make test 2025-06-18 10:11:32 -07:00
camierjs 2b4085e2dd Try ubuntu-latest & Setup clang 2025-06-18 10:01:06 -07:00
camierjs a69ea6d698 Merge branch 'master' into ubsan 2025-06-18 08:04:59 -07:00
camierjs a617205ee1 Revert check & make test 2025-06-17 21:11:03 -07:00
camierjs 620f906765 make check 2025-06-17 21:02:20 -07:00
camierjs 2620effa65 Avoid optimizations 2025-06-17 21:00:45 -07:00
camierjs 3da9bdc39a global env OPTIONS 2025-06-17 20:46:18 -07:00
camierjs 2ab00899fd Merge branch 'master' into ubsan 2025-06-17 20:23:38 -07:00
camierjs 7009449ef5 make check 2025-06-17 20:22:57 -07:00
camierjs 34482860b0 ASAN_OPTIONS w/o spaces 2025-06-17 20:22:18 -07:00
camierjs 8f4aafdebc matrix env make test 2025-06-17 19:00:01 -07:00
camierjs 26eea4f2fd mfem-sanitizers run tweak 2025-06-17 18:20:14 -07:00
camierjs 313f6856e8 Remove var-tracking-assignments 2025-06-17 17:58:37 -07:00
camierjs bf97e92be2 Use config-options for CXX 2025-06-17 17:57:38 -07:00
camierjs d7a04ca4ac Adjust options and remove symbolizer 2025-06-17 17:29:18 -07:00
camierjs 28b1ac0c9d Try mfem-sanitizers.yml style 2025-06-17 17:18:34 -07:00
camierjs 0eb2d21602 Remove from MemorySanitizer 'include' 2025-06-17 16:35:15 -07:00
camierjs efcf608a5d Remove MemorySanitizer 2025-06-17 16:32:20 -07:00
camierjs f1d56c4068 env matrix 2025-06-17 16:23:45 -07:00
camierjs 94698f27d7 Remove matrix name 2025-06-17 16:19:27 -07:00
camierjs 30dac8986c Sanitizers matrix 2025-06-17 16:18:13 -07:00
John Camier 0691354c84 Update mfem-sanitizers.yml matrix 2025-06-17 16:01:09 -07:00
camierjs 5c0b2a6b62 Add LDFLAGS for all runs
Fix float-conversion warnings
2025-06-17 15:43:41 -07:00
camierjs c25b84fbd8 Add undefined behavior and uninitialized memory use detectors 2025-06-17 14:52:43 -07:00
Tzanio Kolev d6c1edc9a3 Merge branch 'master' into netcdf-single 2025-06-17 08:14:28 -07:00
John Camier 74498373c9 Merge branch 'master' into gpu-thread-direct 2025-06-16 08:42:17 -07:00
John Camier 1cc3d81866 Merge branch 'master' into vtkhdf-chunk-fix 2025-06-16 08:33:56 -07:00
Julian Andrej 233316269a ub fix attempt 2025-06-16 07:50:14 -07:00
Andrew Ho e34c6b6013 Merge branch 'master' into hip-unit-tests 2025-06-14 16:22:47 -07:00
John Camier 800be7971a Merge branch 'master' into hip-unit-tests 2025-06-13 08:49:35 -07:00
John Camier ee06c0eb44 Merge branch 'master' into gpu-thread-direct 2025-06-13 08:49:18 -07:00
Hugh Carson f0e8e6e19a Add in missing HostReadWrite in DoNodeReorder for operator() usage 2025-06-12 11:38:00 -04:00
Andrew Ho a8bbdf4fd4 Merge branch 'master' into hip-unit-tests 2025-06-02 11:33:00 -07:00
Will Pazner 2421b48f56 Enable compression by default in ParaViewHDFDataCollection 2025-05-30 07:19:55 -07:00
Will Pazner 2cd2d11215 In VTKHDF, avoid resizing on initial dataset creation 2025-05-30 07:19:28 -07:00
John Camier e11d19e3a9 Merge branch 'master' into gpu-thread-direct 2025-05-29 07:43:53 -07:00
Will PaznerandJohn Camier b0c30784b6 Address some implicit conversion warnings
Co-authored-by: John Camier <camierjs@gmail.com>
2025-05-28 20:42:16 -07:00
John Camier a7aa6c5a7c Merge branch 'master' into vtkhdf-chunk-fix 2025-05-28 11:15:42 -07:00
Riyaz Haque f6c2f10dee Merge branch 'master' into master 2025-05-28 07:47:25 -07:00
John Camier 5dcf6f7ead Merge branch 'master' into gpu-thread-direct 2025-05-26 20:39:03 -07:00
John Camier e8ed1a4c02 Merge branch 'master' into vtkhdf-chunk-fix 2025-05-26 16:11:23 -07:00
Riyaz Haque 3cfca882af Merge remote-tracking branch 'CEED/master' 2025-05-26 07:40:01 -07:00
Will Pazner 70cb8fcc04 Fix shadow warning in VTKHDF 2025-05-23 09:13:05 -07:00
Will Pazner 0366ad2468 Improve chunking in VTKHDF writer
The data arrays grow only in the first dimension, and their other
dimensions are fixed. Therefore, the chunk size is those dimensions
should be equal to the dataset size. This can greatly reduce the
size of saved datasets.
2025-05-23 09:12:56 -07:00
Veselin Dobrev b8eb1ecec8 Small tweaks 2025-05-19 22:23:35 -07:00
Riyaz Haque a355f28eae Decompose det.cpp into separate source and header files 2025-05-19 19:36:05 -07:00
John Camier a75b1ca9c0 Merge branch 'master' into hip-unit-tests 2025-05-19 15:32:41 -07:00
John Camier 8ff6d69f74 Merge branch 'master' into gpu-thread-direct 2025-05-19 15:32:18 -07:00
Veselin Dobrev fe679e0e05 Add a parallel version of the CEED benchmarks, pbench_ceed.cpp, in
tests/benchmarks.
2025-05-13 16:31:04 -07:00
Andrew Ho eb9022540e Merge branch 'master' into hip-unit-tests 2025-05-12 13:04:43 -07:00
John Camier cf127c8b14 Merge branch 'master' into gpu-thread-direct 2025-05-09 08:05:36 -07:00
Tom Stitt df36d0f352 add check for D1D size 2025-05-05 14:06:44 -07:00
Tom Stitt 765ebcecaa Merge branch 'gpu-thread-direct' of github.com:mfem/mfem into gpu-thread-direct 2025-05-05 13:49:09 -07:00
John Camier b3a08b91d6 Merge branch 'master' into hip-unit-tests 2025-05-04 07:38:47 -07:00
Tzanio Kolev 2dfd2ccfc5 Merge branch 'master' into gpu-thread-direct 2025-05-03 13:27:33 -07:00
Andrew Ho f4c66c56d6 updated changelog 2025-05-02 09:56:15 -07:00
Andrew Ho 3c3face72c Merge branch 'master' into hip-unit-tests 2025-05-02 10:31:33 -06:00
Will Pazner adbe1bfe3a Write Exodus meshes with real_t instead of double
Also pass std::string by const reference instead of value
2025-04-30 08:59:07 -07:00
John Camier 5590b87f5e Merge branch 'master' into hip-unit-tests 2025-04-30 07:53:13 -07:00
camierjs cd4593bf8e Fix MFEM_TMOP_(PA_)DEVICE and update gitignore 2025-04-29 16:09:23 -07:00
Tzanio Kolev f12f0efb31 Merge branch 'master' into gpu-thread-direct 2025-04-28 18:35:46 -07:00
Tom Stitt e3c3150958 Merge remote-tracking branch 'origin/master' into gpu-thread-direct 2025-04-25 11:39:44 -07:00
Andrew Ho 911fbfbe82 updated testing readme 2025-04-24 11:36:19 -07:00
Andrew Ho 0b3b21dbb2 Merge remote-tracking branch 'base/hip-unit-tests' into hip-unit-tests 2025-04-24 11:21:52 -07:00
Andrew Ho 823fd86a87 forgot about cmake 2025-04-24 11:18:47 -07:00
Andrew Ho 2d3c1bc79a Merge remote-tracking branch 'base/hip-unit-tests' into hip-unit-tests 2025-04-24 10:48:26 -07:00
Andrew Ho 1d556b93e7 more gpu unit tests 2025-04-24 10:47:57 -07:00
Andrew Ho 00fcb1b37f removed cuda/hip-specific unit test executables 2025-04-24 09:55:55 -07:00
Andrew Ho 9445358bc9 Merge branch 'master' into hip-unit-tests 2025-04-24 09:32:32 -07:00
Andrew Ho e4becc6e02 Merge branch 'master' into hip-unit-tests 2025-04-22 15:28:02 -07:00
Tom Stitt 9b1c3b718d remove check 2025-04-22 12:59:25 -07:00
Tom Stitt e9826f9c69 Adds MFEM_FOREACH_THREAD_DIRECT which uses a conditional instead of a loop for faster GPU kernels when the thread loop bound is less-than-or-equal-to the corresponding block size 2025-04-22 12:53:25 -07:00
Veselin Dobrev 602e889600 Add miniapps/benchmarks/ceed-solver-bps/solver-bp to .gitignore 2025-04-20 14:48:42 -07:00
Veselin Dobrev 4a82e0112f Fix the single precision build in miniapps/benchmarks/ceed-solver-bps 2025-04-19 16:33:46 -07:00
Veselin Dobrev 198c35a314 Merge branch 'master' into ceed-solver-bps 2025-04-19 16:20:57 -07:00
Veselin Dobrev bd50b287aa Fix style 2025-04-19 16:04:55 -07:00
Veselin Dobrev 4244d97e1f Fix GPU and out-of-source builds for miniapps/benchmarks/ceed-solver-bps 2025-04-19 15:59:00 -07:00
Veselin Dobrev 75a4018d9c Initial version of the ceed-solver-bps benchmark in miniapps/benchmarks 2025-04-17 16:10:20 -07:00
Veselin Dobrev 72323aad24 Merge branch 'master' into ceed-solver-bps
Resolved conflicts:
  fem/transfer.hpp
2025-04-17 15:45:51 -07:00
Veselin Dobrev ce9f969f16 Some tweaks in class MultigridBase to avoid implicit conversions of
call parameters.

Some small optimizations in class OperatorChebyshevSmoother.
2025-04-17 15:37:54 -07:00
Andrew Ho 783136234a Merge branch 'master' into hip-unit-tests 2025-04-13 19:35:44 -07:00
Andrew Ho dd85ae3384 Merge remote-tracking branch 'base/master' into hip-unit-tests 2025-04-07 11:54:06 -07:00
Andrew Ho 294a71c705 Merge remote-tracking branch 'base/hip-unit-tests' into hip-unit-tests 2025-04-04 11:58:14 -07:00
Andrew Ho 0b632bf3d4 Merge remote-tracking branch 'base/master' into hip-unit-tests 2025-04-04 11:39:35 -07:00
Veselin Dobrev 6e7718db30 Optimizations for class DeviceConformingProlongationOperator 2025-04-03 10:07:28 -07:00
Andrew Ho fabce12b76 Merge branch 'master' into hip-unit-tests 2025-03-24 23:55:09 -07:00
Andrew Ho 8fbfdb19fe added general GPU and CUDA/HIP-specific unit tests
added gpu, raja-gpu, etc. for generic GPU device configuration
2025-03-24 13:23:43 -07:00
Veselin Dobrev 1fe1e50598 Merge branch 'mg-smem-prolongation' into ceed-solver-bps 2025-02-20 23:26:31 -08:00
Veselin Dobrev f0e542787b Fix memory leaks in miniapps/solvers/block-solvers.cpp 2025-02-20 23:24:35 -08:00
Veselin Dobrev 9627443feb Fix uninitialized memory usage due to incorrect setting of the
iterative mode of the MINRESSolver in BDPMinresSolver in
miniapps/solvers/darcy_solver.?pp. This became an issue due to the way
MultigridBase::SmoothingStep now calls the smoothers (including the
coarse solver) -- it sets the iterative mode of the smoother to false
and calls its Mult() method without initializing the second argument.
2025-02-20 21:48:23 -08:00
Veselin Dobrev ac2252ff20 In class MultigridBase, added support for coarse solver that is
used in addition to the coarse smoother, if given.

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

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

Note: this commit does not seem to pass some of the unit tests.
2024-02-02 05:14:57 -08:00
Veselin Dobrev 35c9c43012 In OperatorChebyshevSmoother::Mult, for k = 0, use a single kernel
instead of 3 separate kernels.
2024-02-02 04:38:37 -08:00
Veselin Dobrev 371b091fd1 Use 'subtract' in a few places instead of the more general 'add' 2024-02-02 03:58:35 -08:00
Veselin Dobrev 1ed1ba8a71 Add optimization for OperatorJacobiSmoother::Mult from PR #1852 2024-02-02 03:41:58 -08:00
Will Pazner 2bd73092d4 Eliminate two more copies in multigrid 2024-02-01 15:26:38 -08:00
Will Pazner aeb4d508bb Remove temporaries from MultigridBase
Add temporary vector z in Operator
2024-02-01 15:26:24 -08:00
Will Pazner a58d941918 Small optimization in MultigridBase::Cycle (requires coarse solver not in iterative mode) 2024-02-01 15:16:45 -08:00
Will Pazner 60a7a9e673 Reduce copies in MultigridBase::Cycle and MultigridBase::SmoothingStep 2024-02-01 15:16:45 -08:00
Will Pazner a1d643f287 Small improvements to OperatorChebyshevSmoother
- Fuse two kernels in OperatorChebyshevSmoother::Mult
- Remove unnecessary copy
- Improve unit test
2024-02-01 14:47:06 -08:00
Will Pazner 04f303fd09 Add multigrid prolongation specializations 2024-02-01 12:04:17 -08:00
Will Pazner 1c4390c0f1 Add optimized p-multigrid prolongation kernels
Also rename Restriction to ProlongationTranspose
2024-02-01 10:49:07 -08:00
Will Pazner 35121d7297 Remove TensorProductPRefinementTransferOperator::~TensorProductPRefinementTransferOperator 2024-02-01 10:48:09 -08:00
135 changed files with 5717 additions and 1618 deletions
+154
View File
@@ -0,0 +1,154 @@
# 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.
---
name: Sanitizer Config
description: Sets up environment variables for MFEM sanitizer workflow
inputs:
DEBUG:
description: If true, use intermediate caches to speed up the workflow
by reusing previous builds.
default: false
REPOSITORY:
description: Repository to checkout
default: mfem/mfem
BRANCH:
description: Branch to checkout
default: ubsan
CLANG_VER:
description: CLANG version to use
default: 18
# https://github.com/llvm/llvm-project/releases
LLVM_VER:
description: LLVM version to use
default: 19.1.7
# https://github.com/hypre-space/hypre/releases
HYPRE_VER:
description: HYPRE version to use
default: 2.19.0
METIS_VER:
description: METIS version to use
default: 4.0.3
CTEST:
description: CTest command to use
default: ctest -j --test-load $(nproc)
--schedule-random
--stop-on-failure --output-on-failure
--test-dir
# https://clang.llvm.org/docs/AddressSanitizer.html
ASAN_OPTIONS:
default: detect_leaks=1,
strict_init_order=1,
strict_string_checks=1,
check_initialization_order=1,
detect_stack_use_after_return=1
ASAN_CXXFLAGS:
default: -fsanitize=address
-fsanitize-address-use-after-scope
ASAN_LDFLAGS:
default: -fsanitize=address
# https://clang.llvm.org/docs/UndefinedBehaviorSanitizer.html
UBSAN_OPTIONS:
default: halt_on_error=1, print_stacktrace=1
UBSAN_CXXFLAGS:
default: -fsanitize=undefined
UBSAN_LDFLAGS:
default: -fsanitize=undefined
# https://clang.llvm.org/docs/MemorySanitizer.html
MSAN_OPTIONS:
default: "poison_in_dtor=1"
MSAN_CXXFLAGS:
default: -fsanitize=memory
-fsanitize-memory-track-origins
-fsanitize-memory-use-after-dtor
MSAN_LDFLAGS:
default: -fsanitize=memory
LSAN_DIR:
description: LSAN suppression directory
default: lsan
LSAN_FILE:
description: LSAN suppression file
default: lsan.supp
NO_FLAGS:
description: If true, do not set any CXXFLAGS or LDFLAGS.
default: false
runs:
using: 'composite'
steps:
- name: Env (Inputs)
run: |
echo DEBUG=${{inputs.DEBUG}} >> $GITHUB_ENV
echo REPOSITORY=${{inputs.REPOSITORY}} >> $GITHUB_ENV
echo BRANCH=${{inputs.BRANCH}} >> $GITHUB_ENV
echo CLANG_VER=${{inputs.CLANG_VER}} >> $GITHUB_ENV
echo LLVM_VER=${{inputs.LLVM_VER}} >> $GITHUB_ENV
echo HYPRE_VER=${{inputs.HYPRE_VER}} >> $GITHUB_ENV
echo METIS_VER=${{inputs.METIS_VER}} >> $GITHUB_ENV
echo CTEST=${{inputs.CTEST}} >> $GITHUB_ENV
echo ASAN_OPTIONS=${{inputs.ASAN_OPTIONS}} >> $GITHUB_ENV
echo UBSAN_OPTIONS=${{inputs.UBSAN_OPTIONS}} >> $GITHUB_ENV
echo MSAN_OPTIONS=${{inputs.MSAN_OPTIONS}} >> $GITHUB_ENV
echo LSAN_DIR=${{inputs.LSAN_DIR}} >> $GITHUB_ENV
echo LSAN_FILE=${{inputs.LSAN_FILE}} >> $GITHUB_ENV
echo ASAN_CXXFLAGS=${{inputs.ASAN_CXXFLAGS}} >> $GITHUB_ENV
echo ASAN_LDFLAGS=${{inputs.ASAN_LDFLAGS}} >> $GITHUB_ENV
echo UBSAN_CXXFLAGS=${{inputs.UBSAN_CXXFLAGS}} >> $GITHUB_ENV
echo UBSAN_LDFLAGS=${{inputs.UBSAN_LDFLAGS}} >> $GITHUB_ENV
echo MSAN_CXXFLAGS=${{inputs.MSAN_CXXFLAGS}} >> $GITHUB_ENV
echo MSAN_LDFLAGS=${{inputs.MSAN_LDFLAGS}} >> $GITHUB_ENV
shell: bash
- name: Env (dir)
run: |
echo LLVM_DIR=${{github.workspace}}/llvm >> $GITHUB_ENV
echo HYPRE_DIR=hypre-${{inputs.HYPRE_VER}} >> $GITHUB_ENV
echo METIS_DIR=metis-${{inputs.METIS_VER}} >> $GITHUB_ENV
shell: bash
- name: Env (bis)
run: |
echo CC=clang-${{inputs.CLANG_VER}} >> $GITHUB_ENV
echo CXX=clang++-${{inputs.CLANG_VER}} >> $GITHUB_ENV
echo LLVM_INC=${{env.LLVM_DIR}}/include/c++/v1 >> $GITHUB_ENV
echo LLVM_LIB=${{env.LLVM_DIR}}/lib >> $GITHUB_ENV
echo HYPRE_TGZ=v${{inputs.HYPRE_VER}}.tar.gz >> $GITHUB_ENV
echo METIS_TGZ=metis-${{inputs.METIS_VER}}.tar.gz >> $GITHUB_ENV
LSAN_SUPPRESSIONS="${{github.workspace}}/${{inputs.LSAN_DIR}}/${{inputs.LSAN_FILE}}"
echo "LSAN_OPTIONS=suppressions=$LSAN_SUPPRESSIONS" >> $GITHUB_ENV
shell: bash
- name: Env (ter)
if: ${{ inputs.NO_FLAGS != 'true' }}
run: |
echo LLVM_CXXFLAGS=-stdlib=libc++ -I${{env.LLVM_INC}} -Isystem${{env.LLVM_INC}} >> $GITHUB_ENV
echo LLVM_LDFLAGS=-L${{env.LLVM_LIB}} -lc++abi -Wl,-rpath,${{env.LLVM_LIB}} >> $GITHUB_ENV
shell: bash
- name: Env (quater)
if: ${{ inputs.NO_FLAGS != 'true' }}
run: |
echo CXXFLAGS=${{env.LLVM_CXXFLAGS}} >> $GITHUB_ENV
echo LDFLAGS=${{env.LLVM_LDFLAGS}} >> $GITHUB_ENV
shell: bash
+91
View File
@@ -0,0 +1,91 @@
# 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.
---
name: 'MFEM Compilation'
description: 'MFEM Compilation'
inputs:
par:
description: 'Whether to build for parallel (true/false)'
default: false
sanitizer:
description: 'Sanitizer to use (asan, msan, ubsan)'
default: asan
runs:
using: 'composite'
steps:
- uses: ./.github/actions/sanitize/config
- uses: actions/cache@v4
if: ${{env.DEBUG == 'true'}}
id: debug
with:
path: mfem/build
key: build-${{inputs.par}}-${{inputs.sanitizer}}
- uses: ./.github/actions/sanitize/setup
if: ${{steps.debug.outputs.cache-hit != 'true'}}
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
- name: Build with ASAN
if: inputs.sanitizer == 'asan'
run: echo CXXFLAGS=${{env.CXXFLAGS}} ${{env.ASAN_CXXFLAGS}} >> $GITHUB_ENV
shell: bash
- name: Build with MSAN
if: inputs.sanitizer == 'msan'
run: echo CXXFLAGS=${{env.CXXFLAGS}} ${{env.MSAN_CXXFLAGS}} >> $GITHUB_ENV
shell: bash
- name: Build with UBSAN
if: inputs.sanitizer == 'ubsan'
run: echo CXXFLAGS=${{env.CXXFLAGS}} ${{env.UBSAN_CXXFLAGS}} >> $GITHUB_ENV
shell: bash
- uses: mfem/github-actions/build-mfem@v2.5
if: ${{steps.debug.outputs.cache-hit != 'true'}}
env:
CXXFLAGS: ${{env.CXXFLAGS}}
LDFLAGS: ${{env.LDFLAGS}}
with:
mpi: ${{inputs.par == 'false' && 'seq' || 'par'}}
mfem-dir: mfem
os: ${{runner.os}}
library-only: true
build-system: cmake
hypre-dir: ${{env.HYPRE_DIR}}
metis-dir: ${{env.METIS_DIR}}
config-options: >-
-GNinja
-DMPICXX=${{env.CXX}}
-DCMAKE_CXX_STANDARD=17
-DMFEM_USE_MEMALLOC=OFF
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_VERBOSE_MAKEFILE=ON
-DCMAKE_CXX_COMPILER=${{env.CXX}}
-DCMAKE_CXX_FLAGS_RELEASE='-g -O1 -fno-omit-frame-pointer'
- name: Delete object files
if: ${{steps.debug.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: find . -type f -name '*.o' -delete
shell: bash
- uses: actions/upload-artifact@v4
with:
name: build-${{inputs.par}}-${{inputs.sanitizer}}
path: mfem/build
if-no-files-found: error
retention-days: 1
overwrite: false
+33
View File
@@ -0,0 +1,33 @@
# 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.
---
name: 'Install MPI'
description: 'Installs MPI and set up its environment variables'
runs:
using: 'composite'
steps:
- name: Install
run: sudo apt-get install openmpi-bin libopenmpi-dev
shell: bash
- name: Env
run: |
echo PRTE_MCA_rmaps_default_mapping_policy=:oversubscribe >> $GITHUB_ENV
echo MPI_INC=$(mpicxx --showme:compile) >> $GITHUB_ENV
echo MPI_LIB=$(mpicxx --showme:link) >> $GITHUB_ENV
shell: bash
- name: Env (bis)
run: |
echo CXXFLAGS=${{env.CXXFLAGS}} ${{env.MPI_INC}} >> $GITHUB_ENV
echo LDFLAGS=${{env.LDFLAGS}} ${{env.MPI_LIB}} >> $GITHUB_ENV
shell: bash
@@ -0,0 +1,71 @@
# 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.
---
name: 'Restore state'
description: 'Restore state to be able to run checks, tests'
inputs:
par:
description: 'Whether to build for parallel (true/false)'
default: false
sanitizer:
description: 'Sanitizer to use (asan, msan, ubsan)'
default: asan
cache-path:
description: 'path to what needs to be restored'
default: none
cache-skip:
description: 'Skip cache restoration'
default: false
outputs:
cache-hit:
description: 'Output from a specific step'
value: ${{steps.debug.outputs.cache-hit}}
runs:
using: 'composite'
steps:
- uses: ./.github/actions/sanitize/config
- uses: actions/cache@v4
if: ${{env.DEBUG == 'true' && inputs.cache-skip != 'true'}}
id: debug
with:
path: ${{inputs.cache-path}}
key: ${{github.job}}-${{inputs.par}}-${{inputs.sanitizer}}
- uses: ./.github/actions/sanitize/setup
if: ${{steps.debug.outputs.cache-hit != 'true'}}
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
- uses: actions/download-artifact@v4
with:
name: build-${{inputs.par}}-${{inputs.sanitizer}}
path: mfem/build
- name: Ninja Patch
working-directory: mfem/build
run: |
sed -i -e 's/CXX_STATIC_LIBRARY_LINKER__mfem_Release.*/CUSTOM_COMMAND/' build.ninja
sed -i -e '/build tests\/unit\/all:/ s/tests\/unit\/[^ ]*unit_tests[^ ]*//g' build.ninja
sed -i -e '/^add_test(\[=\[\(unit_tests\|punit_tests\)\]=\]/ s/)/ "--input-file .\/list-test-names-${{matrix.tag}}" "--min-duration 1")/' tests/unit/CTestTestfile.cmake
shell: bash
- name: Copy Data
if: ${{steps.debug.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: |
ninja cmake_object_order_depends_target_unit_tests
cp -pR ../tests/unit/data tests/unit
shell: bash
+64
View File
@@ -0,0 +1,64 @@
# 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.
---
name: 'Setup state'
description: 'Sets up the state to be able to run build & run'
inputs:
par:
description: 'Whether to build for parallel (true/false)'
default: false
sanitizer:
description: 'Sanitizer to use (asan, msan, ubsan)'
default: asan
runs:
using: 'composite'
steps:
- uses: actions/cache/restore@v4 # Cache for LLVM libcxx
with:
path: ${{env.LLVM_DIR}}
fail-on-cache-miss: true
key: build-libcxx-${{env.LLVM_VER}}-${{inputs.sanitizer}}
- uses: ./.github/actions/sanitize/mpi
if: ${{inputs.par == 'true'}}
- uses: actions/cache/restore@v4 # Cache for Hypre
if: ${{inputs.par == 'true'}}
with:
path: ${{env.HYPRE_DIR}}
fail-on-cache-miss: true
key: ${{runner.os}}-ompi-build-${{env.HYPRE_DIR}}-int32-fp64-v2.5
- uses: actions/cache/restore@v4 # Cache for Metis
if: ${{inputs.par == 'true'}}
with:
path: ${{env.METIS_DIR}}
fail-on-cache-miss: true
key: ${{runner.os}}-build-${{env.METIS_DIR}}-v2.5
- name: Hypre/Metis links
if: ${{inputs.par == 'true'}}
run: ln -s -f ${{env.HYPRE_DIR}} hypre && ln -s -f ${{env.METIS_DIR}} metis-4.0
shell: bash
- uses: actions/cache/restore@v4 # Cache for LSAN suppression file
with:
path: ${{env.LSAN_DIR}}
fail-on-cache-miss: true
key: build-lsan-suppression-file
- uses: actions/checkout@v4 # Checkout the repository
with:
path: mfem
# ref: ${{env.BRANCH}}
# repository: ${{env.REPOSITORY}}
+26 -7
View File
@@ -7,18 +7,17 @@
https://mfem.org
This directory contains the GitHub CI scripts for MFEM.
Note that some of these scripts use the shared MFEM GitHub Actions from the external mfem/github-actions repository:
https://github.com/mfem/github-actions
<https://github.com/mfem/github-actions>
For a particular action, e.g. `mfem/github-actions/build-mfem@v2.1`, the `v2.1` suffix denotes the branch in the above from which the action is taken.
For a particular action, e.g. `mfem/github-actions/build-mfem@v2.5`, the `v2.5` suffix denotes the branch in the above from which the action is taken.
The current CI workflows are:
### `repo-check.yml`
## `repo-check.yml`
Runs a number of static repository-level sanity checks.
@@ -30,19 +29,39 @@ Runs a number of static repository-level sanity checks.
- `branch-history` guards against accidental commits of large files using the `--history` option of the `config/githooks/pre-push` script.
### `mfem-analysis.yml` (`build-analysis`)
## `mfem-analysis.yml` (`build-analysis`)
Checks if the code builds and satisfies minimal requirements.
- `gitignore` builds hypre, METIS, and MFEM using `mfem/github-actions/build-hypre`, `mfem/github-actions/build-metis`, and `mfem/github-actions/build-mfem` and checks for correct `.gitignore` settings by running the `tests/scripts/gitignore` script.
### `builds-and-tests.yml`
## `builds-and-tests.yml`
Runs a matrix of builds and tests runs with different compilers, OS, mfem/hypre settings, etc. Also processes and upload Codecov reports.
Uses the following GitHub Actions from https://github.com/mfem/github-actions:
Uses the following GitHub Actions from <https://github.com/mfem/github-actions>:
- `mfem/github-actions/build-hypre`
- `mfem/github-actions/build-metis`
- `mfem/github-actions/build-mfem`
- `mfem/github-actions/upload-coverage`
## Sanitizer Workflow for MFEM Verification
This workflow validates MFEM unit tests, examples, and miniapps using sanitizer tools.
- `sanitizers.yml` orchestrates:
- Building and caching dependencies: HYPRE, METIS, LSAN suppression file, and LLVM libcxx.
- Launching fine-grained jobs for serial (ASAN, MSAN, UBSAN) and parallel (ASAN, UBSAN) sanitizers.
- `sanitize-tests.yml` is a reusable workflow accepting `par` mode (`true` for parallel) and `sanitizer` (ASAN, MSAN, or UBSAN) as inputs. It executes the following jobs:
- **Build**: Compiles the MFEM library with specified parallel and sanitizer settings.
- **Check**: Runs verification checks.
- Parallel jobs to test the following: **Examples**, **Miniapps** and **Unit tests**
The workflow leverages composite actions in `.github/actions/sanitize/`:
- `config`: Centralizes settings for the sanitizer workflow.
- `mfem`: Manages the MFEM library build process.
- `mpi`: Installs MPI and applies additional compilation flags.
- `restore`: Restores the testing environment state.
- `setup`: Builds or restores cached dependencies.
-69
View File
@@ -1,69 +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.
name: "Sanitizer"
permissions:
actions: write
on:
push:
branches:
- master
- next
pull_request:
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
Serial:
runs-on: ubuntu-24.04
steps:
- name: MFEM Checkout
uses: actions/checkout@v4
with:
path: mfem
- name: MFEM Build
uses: mfem/github-actions/build-mfem@v2.5
with:
os: ${{ runner.os }}
target: opt
mpi: seq
hypre-dir: unused-hypre-dir
metis-dir: unused-metis-dir
mfem-dir: mfem
build-system: make
library-only: false
config-options:
CXX="clang++-18"
CXXFLAGS="-g -O1 -std=c++17
-fsanitize=address
-fno-omit-frame-pointer
-fsanitize-address-use-after-scope"
- name: MFEM Info
working-directory: mfem
run: make info
- name: MFEM Sanitize
working-directory: mfem
run:
ASAN_OPTIONS="detect_leaks=1,
strict_init_order=1,
strict_string_checks=1,
check_initialization_order=1,
detect_stack_use_after_return=1"
make test
@@ -0,0 +1,39 @@
# 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.
---
name: build-hypre
on:
workflow_call:
jobs:
build-hypre:
runs-on: ubuntu-latest
name: 2.19.0
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/config
- name: Cache
id: cache
uses: actions/cache@v4
with:
path: ${{env.HYPRE_DIR}}
key: ${{runner.os}}-ompi-build-${{env.HYPRE_DIR}}-int32-fp64-v2.5
- name: Setup
if: steps.cache.outputs.cache-hit != 'true'
uses: ./.github/actions/sanitize/mpi
- name: Build
if: steps.cache.outputs.cache-hit != 'true'
uses: mfem/github-actions/build-hypre@v2.5
with:
archive: ${{env.HYPRE_TGZ}}
dir: ${{env.HYPRE_DIR}}
target: int32
precision: fp64
build-system: make
@@ -0,0 +1,76 @@
# 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.
---
name: build-libcxx
on:
workflow_call:
jobs:
build-llvm-libcxx:
runs-on: ubuntu-latest
strategy:
matrix:
sanitizer: [asan, msan, ubsan]
include:
- sanitizer: asan
llvm_use_sanitizer: "Address"
- sanitizer: msan
llvm_use_sanitizer: "MemoryWithOrigins"
- sanitizer: ubsan
llvm_use_sanitizer: "Undefined"
name: ${{matrix.sanitizer}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/config
with:
NO_FLAGS: true
- name: Cache
id: cache
uses: actions/cache@v4
with:
path: ${{env.LLVM_DIR}}
key: build-libcxx-${{env.LLVM_VER}}-${{matrix.sanitizer}}
- name: Clone
if: ${{ steps.cache.outputs.cache-hit != 'true' }}
run: >
git clone --filter=blob:none --depth=1
--branch llvmorg-${{env.LLVM_VER}}
--no-checkout https://github.com/llvm/llvm-project.git llvm-project
- name: Checkout
if: ${{ steps.cache.outputs.cache-hit != 'true' }}
working-directory: llvm-project
run: |
git sparse-checkout set --cone
git checkout llvmorg-${{env.LLVM_VER}}
git sparse-checkout set cmake llvm/cmake runtimes libcxx libcxxabi
- name: Mkdir
if: ${{ steps.cache.outputs.cache-hit != 'true' }}
run: mkdir ${{env.LLVM_DIR}}
- name: CMake
if: ${{ steps.cache.outputs.cache-hit != 'true' }}
working-directory: ${{env.LLVM_DIR}}
run: >
VERBOSE=1
cmake -GNinja ../llvm-project/runtimes/
-DCMAKE_C_COMPILER=${{env.CC}}
-DCMAKE_CXX_COMPILER=${{env.CXX}}
-DCMAKE_BUILD_TYPE=RelWithDebInfo
-DCMAKE_INSTALL_PREFIX=/usr
-DLLVM_USE_SANITIZER=${{matrix.llvm_use_sanitizer}}
-DLLVM_BUILD_32_BITS=OFF
-DLIBCXXABI_USE_LLVM_UNWINDER=OFF
-DLLVM_INCLUDE_TESTS=OFF
-DLIBCXX_INCLUDE_TESTS=OFF
-DLIBCXX_INCLUDE_BENCHMARKS=OFF
-DLLVM_ENABLE_RUNTIMES='libcxx;libcxxabi'
- name: Build
if: ${{ steps.cache.outputs.cache-hit != 'true' }}
working-directory: ${{env.LLVM_DIR}}
run: cmake --build . -- cxx cxxabi
+38
View File
@@ -0,0 +1,38 @@
# 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.
---
name: build-file-lsan
on:
workflow_call:
jobs:
build-file-lsan:
runs-on: ubuntu-latest
name: lsan.supp
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/config
- name: Cache
id: cache
uses: actions/cache@v4
with:
path: ${{env.LSAN_DIR}}
key: build-lsan-suppression-file
- name: Setup
if: steps.cache.outputs.cache-hit != 'true'
run: |
mkdir -p ${{env.LSAN_DIR}}
cat << EOF > ${{env.LSAN_DIR}}/${{env.LSAN_FILE}}
leak:libevent_core-2.1.so
leak:ompi_mpi_finalize
leak:ompi_mpi_init
leak:PMPI_Init
leak:strdup
EOF
@@ -0,0 +1,36 @@
# 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.
---
name: build-metis
on:
workflow_call:
jobs:
build-metis:
runs-on: ubuntu-latest
name: 4.0.3
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/config
- name: Cache
id: cache
uses: actions/cache@v4
with:
path: ${{env.METIS_DIR}}
key: ${{runner.os}}-build-${{env.METIS_DIR}}-v2.5
- name: Setup
if: steps.cache.outputs.cache-hit != 'true'
uses: ./.github/actions/sanitize/mpi
- name: Build
if: steps.cache.outputs.cache-hit != 'true'
uses: mfem/github-actions/build-metis@v2.5
with:
archive: ${{env.METIS_TGZ}}
dir: ${{env.METIS_DIR}}
+197
View File
@@ -0,0 +1,197 @@
# 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.
---
name: Sanitize
on:
workflow_call:
inputs:
par:
description: 'Whether to build for parallel (true/false)'
required: false
default: false
type: boolean
sanitizer:
description: 'Sanitizer to use (asan, msan, ubsan)'
required: true
default: asan
type: string
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/mfem
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
check:
needs: [build]
runs-on: ubuntu-latest
env:
ex: ${{inputs.par && 'ex1p' || 'ex1'}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/examples/${{env.ex}}
- name: MFEM Check
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: ninja -v check
examples:
needs: [check]
runs-on: ubuntu-latest
env:
exclude: ${{inputs.par && '-E "_ser"' || ''}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/examples/ex1
- name: Build Examples
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: ninja -v examples
- name: Test Examples
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: |
${{env.CTEST}} examples ${{env.exclude}} --show-only
${{env.CTEST}} examples ${{env.exclude}}
miniapps:
needs: [check]
runs-on: ubuntu-latest
env:
exclude: ${{inputs.par && '-E "_ser"' || ''}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/miniapps/meshing/minimal-surface
- name: Build Miniapps
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: ninja -v miniapps
- name: Test Miniapps
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: |
${{env.CTEST}} miniapps ${{env.exclude}} --show-only
${{env.CTEST}} miniapps ${{env.exclude}}
tests-miniapps:
needs: [check]
runs-on: ubuntu-latest
env:
run: ${{inputs.par && '-R "_cpu_np"' || ''}}
exclude: ${{inputs.par && '"unit_tests|debug"' || '"^unit_tests$|debug"'}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/tests/unit/sedov_tests_cpu
- name: Build Tests Unit Miniapps
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: ninja -v tests/unit/all
- name: Run Tests Unit Miniapps
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: |
${{env.CTEST}} tests/unit -E ${{env.exclude}} ${{env.run}} --show-only
${{env.CTEST}} tests/unit -E ${{env.exclude}} ${{env.run}}
tests-unit-build:
needs: [check]
runs-on: ubuntu-latest
env:
unit_tests: ${{inputs.par && 'punit_tests' || 'unit_tests'}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/tests/unit/${{env.unit_tests}}
- name: Build Unit Tests
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: ninja -v ${{env.unit_tests}}
- name: Delete object files
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build/tests/unit
run: find . -type f -name '*.o' -delete
- uses: actions/upload-artifact@v4
with:
name: tests-${{inputs.par}}-${{inputs.sanitizer}}
path: mfem/build/tests/unit/${{env.unit_tests}}
if-no-files-found: error
retention-days: 1
overwrite: false
tests-unit-run:
needs: [tests-unit-build]
runs-on: ubuntu-latest
strategy:
matrix:
tag: [0, 1, 2, 3]
name: tests-unit-run-${{matrix.tag}}
env:
unit_tests: ${{inputs.par && 'punit_tests' || 'unit_tests'}}
np: ${{inputs.par && '_np=2' || ''}}
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/sanitize/restore
id: restore
with:
par: ${{inputs.par}}
sanitizer: ${{inputs.sanitizer}}
cache-path: mfem/build/tests/unit/${{env.unit_tests}}
- uses: actions/download-artifact@v4
if: ${{steps.restore.outputs.cache-hit != 'true'}}
with:
name: tests-${{inputs.par}}-${{inputs.sanitizer}}
path: mfem/build/tests/unit
- name: Split Unit Tests
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build/tests/unit
run: |
chmod 755 ${{env.unit_tests}}
./${{env.unit_tests}} --list-test-names-only | tail -n +2 > list-test-names
shuf list-test-names -o list-test-names
split --verbose -n l/4 -d -a 1 list-test-names list-test-names-
- name: Cat Unit Tests ${{matrix.tag}}
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build/tests/unit
run: cat list-test-names-${{matrix.tag}}
- name: Run Unit Tests ${{matrix.tag}}
if: ${{steps.restore.outputs.cache-hit != 'true'}}
working-directory: mfem/build
run: |
${{env.CTEST}} tests/unit -R "${{env.unit_tests}}${{env.np}}" --show-only
${{env.CTEST}} tests/unit -R "${{env.unit_tests}}${{env.np}}"
+73
View File
@@ -0,0 +1,73 @@
# 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.
---
name: Sanitizers
permissions:
actions: write
on:
push:
branches: ["master", "next"]
pull_request:
workflow_dispatch:
concurrency:
group: ${{github.workflow}}-${{github.ref}}
cancel-in-progress: true
jobs:
# Build steps for dependencies
build-hypre:
uses: ./.github/workflows/sanitize-build-hypre.yml
build-metis:
uses: ./.github/workflows/sanitize-build-metis.yml
build-lsan:
uses: ./.github/workflows/sanitize-build-lsan.yml
build-libcxx:
uses: ./.github/workflows/sanitize-build-libcxx.yml
# Serial sanitizers: asan, msan, ubsan
seq-asan:
needs: [build-libcxx]
uses: ./.github/workflows/sanitize-tests.yml
with:
sanitizer: asan
seq-msan:
needs: [build-libcxx]
uses: ./.github/workflows/sanitize-tests.yml
with:
sanitizer: msan
seq-ubsan:
needs: [build-libcxx]
uses: ./.github/workflows/sanitize-tests.yml
with:
sanitizer: ubsan
# Parallel sanitizers: asan, ubsan
par-asan:
needs: [build-libcxx, build-hypre, build-metis]
uses: ./.github/workflows/sanitize-tests.yml
with:
par: true
sanitizer: asan
par-ubsan:
needs: [build-libcxx, build-hypre, build-metis]
uses: ./.github/workflows/sanitize-tests.yml
with:
par: true
sanitizer: ubsan
+5 -2
View File
@@ -409,12 +409,14 @@ miniapps/tribol/contact-patch-test
miniapps/diag-smoothers/abs-l1-jacobi
miniapps/diag-smoothers/mg-abs-l1-jacobi
miniapps/benchmarks/ceed-solver-bps/solver-bp
# Unit test binary and outputs
tests/unit/output_meshes
tests/unit/unit_tests
tests/unit/punit_tests
tests/unit/cunit_tests
tests/unit/pcunit_tests
tests/unit/gpu_unit_tests
tests/unit/pgpu_unit_tests
tests/unit/sedov_tests_*
tests/unit/psedov_tests_*
tests/unit/tmop_pa_tests_*
@@ -429,6 +431,7 @@ tests/benchmarks/bench_ceed
tests/benchmarks/bench_tmop
tests/benchmarks/bench_vector
tests/benchmarks/bench_virtuals
tests/benchmarks/pbench_ceed
# Test script output
tests/scripts/*.err
+23 -1
View File
@@ -39,6 +39,8 @@ 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.
New and updated examples and miniapps
-------------------------------------
@@ -48,13 +50,33 @@ New and updated examples and miniapps
operators as smoothers.
These miniapps can be found in `miniapps/diag-smoothers`.
API changes:
API changes
-----------
- mfem::internal::tensor and mfem::internal::dual have been moved to
mfem::future::tensor and mfem::future::dual.
- API addition: in class `Operator`, added virtual functions: `AbsMult`, and
`AbsMultTranspose`; in class `Vector`, added `Abs` and `Pow`.
Miscellaneous
-------------
- Added the "gpu", "raja-gpu", and "ceed-gpu" backend aliases/shortcuts which
automatically select between CUDA or HIP.
- The CUDA-specific names used by some of the unit tests like 'cunit_tests' and
'pcunit_tests' were replaced by names using 'gpu' instead of 'c' (short for
CUDA) or 'cuda'. These tests automatically run the CUDA/HIP tests based on the
MFEM build configuration.
- Added the option to enable GPU-aware MPI in MFEM using the environment
variable 'MFEM_GPU_AWARE_MPI' set to any value. Setting this environment
variable is an alternative to calling 'Device::SetGPUAwareMPI(true)'.
- Added parallel Address Sanitizer, serial and parallel Undefined Behavior
Sanitizer and serial Memory Sanitizer GitHub actions tests on Ubuntu.
- MFEM_PERF_* annotations: added options to enable GPU-stream- and
MPI-synchronizations at the start and at the end of annotation regions. These
synchronizations can be enabled or disabled (default) in code via the new
macros: MFEM_PERF_SYNC, MFEM_PERF_SYNC_STREAM, and MFEM_PERF_SYNC_MPI; the
environment variables with the same names can be set to 0/1 to control the
synchronization as well.
Version 4.8, released on Apr 9, 2025
====================================
+3 -1
View File
@@ -78,6 +78,7 @@ private:
opr.SetOperatorOwner(false);
CGSolver* pcg = new CGSolver();
// pcg->iterative_mode = false; // the multigrid algorithm does this
pcg->SetPrintLevel(-1);
pcg->SetMaxIter(200);
pcg->SetRelTol(sqrt(1e-4));
@@ -100,7 +101,8 @@ private:
Vector diag(fespace.GetTrueVSize());
bfs[level]->AssembleDiagonal(diag);
Solver* smoother = new OperatorChebyshevSmoother(*opr, diag, ess_tdof_list, 2);
Solver *smoother = new OperatorChebyshevSmoother(
*opr, diag, ess_tdof_list, 2);
AddLevel(opr.Ptr(), smoother, true, true);
}
};
+1
View File
@@ -88,6 +88,7 @@ private:
amg->SetPrintLevel(-1);
CGSolver* pcg = new CGSolver(MPI_COMM_WORLD);
// pcg->iterative_mode = false; // the multigrid algorithm does this
pcg->SetPrintLevel(-1);
pcg->SetMaxIter(10);
pcg->SetRelTol(sqrt(1e-4));
+1
View File
@@ -247,6 +247,7 @@ set(HDRS
nonlinearform_ext.hpp
nonlininteg.hpp
qfunction.hpp
qinterp/det.hpp
qinterp/eval.hpp
qinterp/eval_hdiv.hpp
qinterp/grad.hpp
+1
View File
@@ -515,6 +515,7 @@ struct InvTNewtonSolver<Geometry::SEGMENT, SDim, SType, max_team_x>
phys_tol += pptr[idx + d * npts] * pptr[idx + d * npts];
}
phys_tol = fmax(phys_rtol * phys_rtol, phys_tol * phys_rtol * phys_rtol);
hit_bdr[0] = prev_hit_bdr[0] = false;
}
// for each iteration
while (true)
+6
View File
@@ -255,6 +255,8 @@ PABilinearFormExtension::PABilinearFormExtension(BilinearForm *form)
void PABilinearFormExtension::SetupRestrictionOperators(const L2FaceValues m)
{
MFEM_PERF_FUNCTION;
if ( Device::Allows(Backend::CEED_MASK) ) { return; }
ElementDofOrdering ordering = GetEVectorOrdering(*a->FESpace());
elem_restrict = trial_fes->GetElementRestriction(ordering);
@@ -373,6 +375,8 @@ void PABilinearFormExtension::SetupRestrictionOperators(const L2FaceValues m)
void PABilinearFormExtension::Assemble()
{
MFEM_PERF_FUNCTION;
SetupRestrictionOperators(L2FaceValues::DoubleValued);
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
@@ -529,6 +533,8 @@ void PABilinearFormExtension::FormLinearSystem(const Array<int> &ess_tdof_list,
void PABilinearFormExtension::MultInternal(const Vector &x, Vector &y,
const bool useAbs) const
{
MFEM_PERF_FUNCTION;
Array<BilinearFormIntegrator*> &integrators = *a->GetDBFI();
const int iSz = integrators.Size();
+12 -10
View File
@@ -764,9 +764,9 @@ ParaViewDataCollectionBase::ParaViewDataCollectionBase(
{
cycle = 0;
#ifdef MFEM_USE_ZLIB
compression = true; // if we have zlib, enable compression
#else
compression = false; // otherwise, disable compression
// If we have zlib, enable compression. Otherwise, compression is disabled in
// the DataCollection base class constructor.
compression = true;
#endif
}
@@ -784,13 +784,8 @@ void ParaViewDataCollectionBase::SetCompressionLevel(int compression_level_)
{
MFEM_ASSERT(compression_level_ >= -1 && compression_level_ <= 9,
"Compression level must be between -1 and 9 (inclusive).");
if (compression_level_ != 0) { SetCompression(true);}
compression_level = compression_level_;
compression = compression_level_ != 0;
}
void ParaViewDataCollectionBase::SetCompression(bool compression_)
{
compression = compression_;
}
int ParaViewDataCollectionBase::GetCompressionLevel() const
@@ -1174,7 +1169,14 @@ const char *ParaViewDataCollection::GetDataTypeString() const
ParaViewHDFDataCollection::ParaViewHDFDataCollection(
const std::string &collection_name, Mesh *mesh)
: ParaViewDataCollectionBase(collection_name, mesh)
{ }
{
compression = true;
}
void ParaViewHDFDataCollection::SetCompression(bool compression_)
{
compression = compression_;
}
void ParaViewHDFDataCollection::EnsureVTKHDF()
{
+6 -7
View File
@@ -537,13 +537,6 @@ public:
/// Any nonzero compression level will enable compression.
void SetCompressionLevel(int compression_level_);
/// @brief Enable or disable zlib compression.
///
/// If the input is true, use the default zlib compression level (unless the
/// compression level has previously been set by calling
/// SetCompressionLevel()).
void SetCompression(bool compression_) override;
/// @brief Sets whether or not to output the data as high-order elements
/// (false by default).
///
@@ -633,6 +626,12 @@ public:
ParaViewHDFDataCollection(const std::string& collection_name,
Mesh *mesh_ = nullptr);
/// @brief Enable or disable compression.
///
/// The compression level can be set with SetCompressionLevel()). VTKHDF
/// compression does not require MFEM to be compiled with zlib support.
void SetCompression(bool compression_) override;
/// Save the collection.
void Save() override;
+2 -1
View File
@@ -101,10 +101,11 @@ public:
// Setup DofToQuad information
dtq.nqpt = (int)floor(std::pow(ir.GetNPoints(), 1.0 / mesh.Dimension()) + 0.5);
dtq.ndof = dtq.nqpt;
dtq.mode = used_in_tensor_product ? DofToQuad::TENSOR : DofToQuad::FULL;
// Calculate sizes
const int num_qp = used_in_tensor_product ?
std::pow(dtq.nqpt, mesh.Dimension()) :
static_cast<int>(std::pow(dtq.nqpt, mesh.Dimension())) :
ir.GetNPoints();
tsize = vdim * num_qp * mesh.GetNE();
+7 -6
View File
@@ -1702,12 +1702,13 @@ std::array<DofToQuadMap, N> load_dtq_mem(
std::array<DofToQuadMap, N> f;
for (std::size_t i = 0; i < N; i++)
{
const auto [nqp_b, dim_b, ndof_b] = dtq[i].B.GetShape();
const auto B = Reshape(&dtq[i].B[0], nqp_b, dim_b, ndof_b);
auto mem_Bi = Reshape(reinterpret_cast<real_t *>(mem) + offset, nqp_b, dim_b,
ndof_b);
if (dtq[i].which_input != -1)
{
const auto [nqp_b, dim_b, ndof_b] = dtq[i].B.GetShape();
const auto B = Reshape(&dtq[i].B[0], nqp_b, dim_b, ndof_b);
auto mem_Bi = Reshape(reinterpret_cast<real_t *>(mem) + offset, nqp_b, dim_b,
ndof_b);
MFEM_FOREACH_THREAD(q, x, nqp_b)
{
MFEM_FOREACH_THREAD(d, y, ndof_b)
@@ -2158,7 +2159,7 @@ template <
std::size_t... Is>
std::array<DofToQuadMap, N> create_dtq_maps_impl(
field_operator_ts &fops,
std::vector<const DofToQuad*> dtqs,
std::vector<const DofToQuad*> &dtqs,
const std::array<int, N> &field_map,
std::index_sequence<Is...>)
{
@@ -2243,7 +2244,7 @@ template <
std::size_t num_fields>
std::array<DofToQuadMap, num_fields> create_dtq_maps(
field_operator_ts &fops,
std::vector<const DofToQuad*> dtqmaps,
std::vector<const DofToQuad*> &dtqmaps,
const std::array<int, num_fields> &to_field_map)
{
return create_dtq_maps_impl<entity_t>(
+1 -1
View File
@@ -4334,7 +4334,7 @@ real_t LSZZErrorEstimator(BilinearFormIntegrator &blfi, // input
u.GetSubVector(udofs, ul);
utrans.InvTransformPrimal(ul);
Transf = ufes->GetElementTransformation(ielem);
FiniteElement *dummy = nullptr;
const auto *dummy = ufes->GetFE(ielem);
blfi.ComputeElementFlux(*ufes->GetFE(ielem), *Transf, ul,
*dummy, fl, with_coeff, ir);
+33 -35
View File
@@ -1009,6 +1009,7 @@ inline void SmemPADiffusionApply3D(const int NE,
auto d = Reshape(d_.Read(), Q1D, Q1D, Q1D, symmetric ? 6 : 9, NE);
auto x = Reshape(x_.Read(), D1D, D1D, D1D, NE);
auto y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, NE);
MFEM_VERIFY(D1D <= Q1D, "THREAD_DIRECT requires D1D <= Q1D");
mfem::forall_3D(NE, Q1D, Q1D, Q1D, [=] MFEM_HOST_DEVICE (int e)
{
const int D1D = T_D1D ? T_D1D : d1d;
@@ -1038,11 +1039,11 @@ inline void SmemPADiffusionApply3D(const int NE,
real_t (*QDD0)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+0);
real_t (*QDD1)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+1);
real_t (*QDD2)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+2);
MFEM_FOREACH_THREAD(dz,z,D1D)
MFEM_FOREACH_THREAD_DIRECT(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
MFEM_FOREACH_THREAD_DIRECT(dx,x,D1D)
{
X[dz][dy][dx] = x(dx,dy,dz,e);
}
@@ -1050,9 +1051,9 @@ inline void SmemPADiffusionApply3D(const int NE,
}
if (MFEM_THREAD_ID(z) == 0)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qx,x,Q1D)
{
B[qx][dy] = b(qx,dy);
G[qx][dy] = g(qx,dy);
@@ -1060,11 +1061,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
MFEM_FOREACH_THREAD_DIRECT(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qx,x,Q1D)
{
real_t u = 0.0, v = 0.0;
MFEM_UNROLL(MD1)
@@ -1080,11 +1081,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
MFEM_FOREACH_THREAD_DIRECT(dz,z,D1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qx,x,Q1D)
{
real_t u = 0.0, v = 0.0, w = 0.0;
MFEM_UNROLL(MD1)
@@ -1101,11 +1102,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qx,x,Q1D)
{
real_t u = 0.0, v = 0.0, w = 0.0;
MFEM_UNROLL(MD1)
@@ -1136,9 +1137,9 @@ inline void SmemPADiffusionApply3D(const int NE,
MFEM_SYNC_THREAD;
if (MFEM_THREAD_ID(z) == 0)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qx,x,Q1D)
{
Bt[dy][qx] = b(qx,dy);
Gt[dy][qx] = g(qx,dy);
@@ -1146,11 +1147,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
MFEM_FOREACH_THREAD_DIRECT(dx,x,D1D)
{
real_t u = 0.0, v = 0.0, w = 0.0;
MFEM_UNROLL(MQ1)
@@ -1167,11 +1168,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
MFEM_FOREACH_THREAD_DIRECT(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
MFEM_FOREACH_THREAD_DIRECT(dx,x,D1D)
{
real_t u = 0.0, v = 0.0, w = 0.0;
MFEM_UNROLL(Q1D)
@@ -1188,11 +1189,11 @@ inline void SmemPADiffusionApply3D(const int NE,
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1D)
MFEM_FOREACH_THREAD_DIRECT(dz,z,D1D)
{
MFEM_FOREACH_THREAD(dy,y,D1D)
MFEM_FOREACH_THREAD_DIRECT(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
MFEM_FOREACH_THREAD_DIRECT(dx,x,D1D)
{
real_t u = 0.0, v = 0.0, w = 0.0;
MFEM_UNROLL(MQ1)
@@ -1211,22 +1212,18 @@ inline void SmemPADiffusionApply3D(const int NE,
} // namespace internal
namespace
{
using ApplyKernelType = DiffusionIntegrator::ApplyKernelType;
using DiagonalKernelType = DiffusionIntegrator::DiagonalKernelType;
}
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Kernel()
DiffusionIntegrator::ApplyKernelType
DiffusionIntegrator::ApplyPAKernels::Kernel()
{
if (DIM == 2) { return internal::SmemPADiffusionApply2D<T_D1D,T_Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionApply3D<T_D1D, T_Q1D>; }
else { MFEM_ABORT(""); }
}
inline
ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
inline DiffusionIntegrator::ApplyKernelType
DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2) { return internal::PADiffusionApply2D; }
else if (DIM == 3) { return internal::PADiffusionApply3D; }
@@ -1234,14 +1231,15 @@ ApplyKernelType DiffusionIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
}
template<int DIM, int D1D, int Q1D>
DiagonalKernelType DiffusionIntegrator::DiagonalPAKernels::Kernel()
DiffusionIntegrator::DiagonalKernelType
DiffusionIntegrator::DiagonalPAKernels::Kernel()
{
if (DIM == 2) { return internal::SmemPADiffusionDiagonal2D<D1D,Q1D>; }
else if (DIM == 3) { return internal::SmemPADiffusionDiagonal3D<D1D, Q1D>; }
else { MFEM_ABORT(""); }
}
inline DiagonalKernelType
inline DiffusionIntegrator::DiagonalKernelType
DiffusionIntegrator::DiagonalPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 2) { return internal::PADiffusionDiagonal2D; }
+4
View File
@@ -39,6 +39,8 @@ void DiffusionIntegrator::AssembleDiagonalPA(Vector &diag)
// PA Diffusion Apply kernel
void DiffusionIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
MFEM_PERF_FUNCTION;
if (DeviceCanUseCeed())
{
ceedOp->AddMult(x, y);
@@ -88,6 +90,8 @@ void DiffusionIntegrator::AddMultTransposePA(const Vector &x, Vector &y) const
void DiffusionIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
MFEM_PERF_FUNCTION;
const MemoryType mt = (pa_mt == MemoryType::DEFAULT) ?
Device::GetDeviceMemoryType() : pa_mt;
// Assuming the same element type
+6 -11
View File
@@ -1383,14 +1383,9 @@ inline void EAMassAssemble3D(const int NE,
} // namespace internal
namespace
{
using ApplyKernelType = MassIntegrator::ApplyKernelType;
using DiagonalKernelType = MassIntegrator::DiagonalKernelType;
}
template<int DIM, int T_D1D, int T_Q1D>
ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
MassIntegrator::ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
{
if (DIM == 1) { return internal::PAMassApply1D; }
else if (DIM == 2) { return internal::SmemPAMassApply2D<T_D1D,T_Q1D>; }
@@ -1398,8 +1393,8 @@ ApplyKernelType MassIntegrator::ApplyPAKernels::Kernel()
else { MFEM_ABORT(""); }
}
inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
int DIM, int, int)
inline MassIntegrator::ApplyKernelType
MassIntegrator::ApplyPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 1) { return internal::PAMassApply1D; }
else if (DIM == 2) { return internal::PAMassApply2D; }
@@ -1408,7 +1403,7 @@ inline ApplyKernelType MassIntegrator::ApplyPAKernels::Fallback(
}
template<int DIM, int T_D1D, int T_Q1D>
DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
MassIntegrator::DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
{
if (DIM == 1) { return internal::PAMassAssembleDiagonal1D; }
else if (DIM == 2) { return internal::SmemPAMassAssembleDiagonal2D<T_D1D,T_Q1D>; }
@@ -1416,8 +1411,8 @@ DiagonalKernelType MassIntegrator::DiagonalPAKernels::Kernel()
else { MFEM_ABORT(""); }
}
inline DiagonalKernelType MassIntegrator::DiagonalPAKernels::Fallback(
int DIM, int, int)
inline MassIntegrator::DiagonalKernelType
MassIntegrator::DiagonalPAKernels::Fallback(int DIM, int, int)
{
if (DIM == 1) { return internal::PAMassAssembleDiagonal1D; }
else if (DIM == 2) { return internal::PAMassAssembleDiagonal2D; }
+5 -1
View File
@@ -23,6 +23,8 @@ namespace mfem
void MassIntegrator::AssemblePA(const FiniteElementSpace &fes)
{
MFEM_PERF_FUNCTION;
const MemoryType mt = (pa_mt == MemoryType::DEFAULT) ?
Device::GetDeviceMemoryType() : pa_mt;
@@ -62,7 +64,7 @@ void MassIntegrator::AssemblePA(const FiniteElementSpace &fes)
const int NE = ne;
const int Q1D = quad1D;
const int NQ = pow(Q1D, dim);
const int NQ = static_cast<int>(std::pow(Q1D, dim));
const bool const_c = coeff.Size() == 1;
const bool by_val = map_type == FiniteElement::VALUE;
const auto W = Reshape(ir->GetWeights().Read(), NQ);
@@ -170,6 +172,8 @@ void MassIntegrator::AssembleDiagonalPA(Vector &diag)
void MassIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
MFEM_PERF_FUNCTION;
if (DeviceCanUseCeed())
{
ceedOp->AddMult(x, y);
+1
View File
@@ -14,6 +14,7 @@
#include "../general/array.hpp"
#include "../linalg/vector.hpp"
#include "fespace.hpp"
namespace mfem
{
+1 -1
View File
@@ -673,7 +673,7 @@ public:
int myid;
MPI_Comm_rank(comm, &myid);
int seed = (seed_ > 0) ? seed_ + myid : (int)time(0) + myid;
int seed = (seed_ > 0) ? seed_ + myid : time(nullptr) + myid;
SetSeed(seed);
}
#else
+2
View File
@@ -365,6 +365,8 @@ FiniteElementSpace &LORBase::GetFESpace() const
void LORBase::AssembleSystem(BilinearForm &a_ho, const Array<int> &ess_dofs)
{
MFEM_PERF_FUNCTION;
A.Clear();
delete a;
if (BatchedLORAssembly::FormIsSupported(a_ho))
+4
View File
@@ -360,6 +360,8 @@ void BatchedLORAssembly::FillJAndData(SparseMatrix &A) const
void BatchedLORAssembly::SparseIJToCSR(OperatorHandle &A) const
{
MFEM_PERF_FUNCTION;
const int nvdof = fes_ho.GetVSize();
// If A contains an existing SparseMatrix, reuse it (and try to reuse its
@@ -417,6 +419,8 @@ static void Assemble_(LOR_KERNEL &kernel, int dim, int sdim, int order)
template <typename LOR_KERNEL>
void BatchedLORAssembly::AssemblyKernel(BilinearForm &a)
{
MFEM_PERF_FUNCTION;
LOR_KERNEL kernel(a, fes_ho, X_vert, sparse_ij, sparse_mapping);
const int dim = fes_ho.GetMesh()->Dimension();
+2
View File
@@ -184,6 +184,8 @@ void BatchedLOR_H1::Assemble2D()
template <int ORDER>
void BatchedLOR_H1::Assemble3D()
{
MFEM_PERF_FUNCTION;
const int nel_ho = fes_ho.GetNE();
static constexpr int nv = 8;
static constexpr int dim = 3;
+136 -58
View File
@@ -17,7 +17,10 @@ namespace mfem
MultigridBase::MultigridBase()
: cycleType(CycleType::VCYCLE), preSmoothingSteps(1), postSmoothingSteps(1),
nrhs(0)
{}
{
coarse_solver = nullptr;
own_coarse_solver = false;
}
MultigridBase::MultigridBase(const Array<Operator*>& operators_,
const Array<Solver*>& smoothers_,
@@ -29,12 +32,18 @@ MultigridBase::MultigridBase(const Array<Operator*>& operators_,
{
operators_.Copy(operators);
smoothers_.Copy(smoothers);
coarse_solver = nullptr;
ownedOperators_.Copy(ownedOperators);
ownedSmoothers_.Copy(ownedSmoothers);
own_coarse_solver = false;
}
MultigridBase::~MultigridBase()
{
if (own_coarse_solver)
{
delete coarse_solver;
}
for (int i = 0; i < operators.Size(); ++i)
{
if (ownedOperators[i])
@@ -56,16 +65,17 @@ void MultigridBase::InitVectors() const
X.SetSize(M, nrhs);
Y.SetSize(M, nrhs);
R.SetSize(M, nrhs);
Z.SetSize(M, nrhs);
for (int i = 0; i < X.NumRows(); ++i)
for (int i = 0; i < M; ++i)
{
const int n = operators[i]->Height();
for (int j = 0; j < X.NumCols(); ++j)
for (int j = 0; j < nrhs; ++j)
{
X(i, j) = new Vector(n);
Y(i, j) = new Vector(n);
if (i < M - 1)
{
X(i, j) = new Vector(n);
Y(i, j) = new Vector(n);
}
R(i, j) = new Vector(n);
Z(i, j) = new Vector(n);
}
}
}
@@ -76,10 +86,12 @@ void MultigridBase::EraseVectors() const
{
for (int j = 0; j < X.NumCols(); ++j)
{
delete X(i, j);
delete Y(i, j);
if (i < X.NumRows() - 1)
{
delete X(i, j);
delete Y(i, j);
}
delete R(i, j);
delete Z(i, j);
}
}
}
@@ -95,6 +107,12 @@ void MultigridBase::AddLevel(Operator* op, Solver* smoother,
ownedSmoothers.Append(ownSmoother);
}
void MultigridBase::AddCoarseSolver(Solver *c_solver, bool own_c_solver)
{
coarse_solver = c_solver;
own_coarse_solver = own_c_solver;
}
void MultigridBase::SetCycleType(CycleType cycleType_, int preSmoothingSteps_,
int postSmoothingSteps_)
{
@@ -105,10 +123,12 @@ void MultigridBase::SetCycleType(CycleType cycleType_, int preSmoothingSteps_,
void MultigridBase::Mult(const Vector& x, Vector& y) const
{
Array<const Vector*> X_(1);
Array<Vector*> Y_(1);
X_[0] = &x;
Y_[0] = &y;
const Vector *x_array[1] = { &x };
Array<const Vector*> X_(x_array, 1); // no heap allocation
Vector *y_array[1] = { &y };
Array<Vector*> Y_(y_array, 1); // no heap allocation
ArrayMult(X_, Y_);
}
@@ -119,11 +139,6 @@ void MultigridBase::ArrayMult(const Array<const Vector*>& X_,
"Multigrid solver does not have operators set!");
MFEM_ASSERT(X_.Size() == Y_.Size(),
"Number of columns mismatch in MultigridBase::Mult!");
if (iterative_mode)
{
MFEM_WARNING("Multigrid solver does not use iterative_mode and ignores "
"the initial guess!");
}
// Add capacity as necessary
nrhs = X_.Size();
@@ -134,96 +149,159 @@ void MultigridBase::ArrayMult(const Array<const Vector*>& X_,
for (int j = 0; j < nrhs; ++j)
{
MFEM_ASSERT(X_[j] && Y_[j], "Missing Vector in MultigridBase::Mult!");
*X(M - 1, j) = *X_[j];
*Y(M - 1, j) = 0.0;
}
Cycle(M - 1);
for (int j = 0; j < nrhs; ++j)
{
*Y_[j] = *Y(M - 1, j);
X(M - 1, j) = const_cast<Vector*>(X_[j]);
Y(M - 1, j) = Y_[j];
}
const bool zero = !iterative_mode;
Cycle(M - 1, zero);
}
void MultigridBase::SmoothingStep(int level, bool zero, bool transpose) const
{
// y = y + S (x - A y) or y = y + S^T (x - A y)
// Note: 'zero' == true means that Y(level,*) are not initialized and we
// should assume that the input they typically provide to this call is zeros.
// We can't use the smoothers' iterative mode since we don't know if they
// actually support it, so we always turn the iterative mode off to properly
// use smoothers that do support it.
smoothers[level]->iterative_mode = false;
if (zero)
{
Array<Vector *> X_(X[level], nrhs), Y_(Y[level], nrhs);
GetSmootherAtLevel(level)->ArrayMult(X_, Y_);
MFEM_ASSERT(!transpose, "internal error!");
const Array<const Vector *> cX_((const Vector **)(X[level]), nrhs);
Array<Vector *> Y_(Y[level], nrhs);
GetSmootherAtLevel(level)->ArrayMult(cX_, Y_);
}
else
{
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs),
Z_(Z[level], nrhs);
const Array<const Vector *> cY_((const Vector **)(Y[level]), nrhs),
cR_((const Vector **)(R[level]), nrhs);
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs);
GetOperatorAtLevel(level)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
*R_[j] = *X(level, j);
// *R_[j] = *X(level, j) - *R_[j]
subtract(*X(level, j), *R_[j], *R_[j]);
}
GetOperatorAtLevel(level)->ArrayAddMult(Y_, R_, -1.0);
if (transpose)
{
GetSmootherAtLevel(level)->ArrayMultTranspose(R_, Z_);
GetSmootherAtLevel(level)->ArrayAddMultTranspose(cR_, Y_);
}
else
{
GetSmootherAtLevel(level)->ArrayMult(R_, Z_);
}
for (int j = 0; j < nrhs; ++j)
{
*Y_[j] += *Z_[j];
GetSmootherAtLevel(level)->ArrayAddMult(cR_, Y_);
}
}
}
void MultigridBase::Cycle(int level) const
void MultigridBase::CoarseSolve(bool zero) const
{
// Coarse solve
if (level == 0)
// See the comment about iterative mode in SmoothingStep()
coarse_solver->iterative_mode = false;
if (zero)
{
SmoothingStep(0, true, false);
const Array<const Vector *> cX_((const Vector **)(X[0]), nrhs);
Array<Vector *> Y_(Y[0], nrhs);
coarse_solver->ArrayMult(cX_, Y_);
}
else
{
const Array<const Vector *> cY_((const Vector **)(Y[0]), nrhs),
cR_((const Vector **)(R[0]), nrhs);
Array<Vector *> Y_(Y[0], nrhs), R_(R[0], nrhs);
GetOperatorAtLevel(0)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
// *R_[j] = *X(0, j) - *R_[j]
subtract(*X(0, j), *R_[j], *R_[j]);
}
coarse_solver->ArrayAddMult(cR_, Y_);
}
}
void MultigridBase::Cycle(int level, bool zero) const
{
// Note: 'zero' == true means that Y(level,*) are not initialized and we
// should assume that the input they typically provide to this call is zeros.
// Coarse solve
if (level == 0 && !coarse_solver)
{
SmoothingStep(0, zero, false);
return;
}
// Pre-smooth
for (int i = 0; i < preSmoothingSteps; ++i)
{
SmoothingStep(level, (cycleType == CycleType::VCYCLE && i == 0), false);
SmoothingStep(level, zero && (i == 0), false);
}
// Coarse solve with 'coarse_solver'
if (level == 0)
{
CoarseSolve(preSmoothingSteps == 0 && zero);
goto mg_post_smooth;
}
// Compute residual and restrict
if (preSmoothingSteps == 0 && zero)
{
Array<Vector *> Y_(Y[level], nrhs), R_(R[level], nrhs),
X_(X[level - 1], nrhs);
const Array<const Vector *> cX_l((const Vector **)(X[level]), nrhs);
Array<Vector *> X_lm1(X[level - 1], nrhs);
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(cX_l, X_lm1);
}
else
{
const Array<const Vector *> cY_((const Vector **)(Y[level]), nrhs),
cR_((const Vector **)(R[level]), nrhs);
Array<Vector *> R_(R[level], nrhs), X_(X[level - 1], nrhs);
GetOperatorAtLevel(level)->ArrayMult(cY_, R_);
for (int j = 0; j < nrhs; ++j)
{
*R_[j] = *X(level, j);
}
GetOperatorAtLevel(level)->ArrayAddMult(Y_, R_, -1.0);
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(R_, X_);
for (int j = 0; j < nrhs; ++j)
{
*Y(level - 1, j) = 0.0;
// *R_[j] = *X(level, j) - *R_[j]
subtract(*X(level, j), *R_[j], *R_[j]);
}
GetProlongationAtLevel(level - 1)->ArrayMultTranspose(cR_, X_);
}
// Corrections
Cycle(level - 1);
Cycle(level - 1, true);
if (cycleType == CycleType::WCYCLE)
{
Cycle(level - 1);
// If the coarse solve at level 0 is "exact" solve, then we don't want to
// repeat it.
// To support multiple level 0 coarse-grid corrections, one can wrap that
// smoother in an SLI solver and use that instead.
if (level > 1) { Cycle(level - 1, false); }
}
// Prolongate and add
{
Array<Vector *> Y_(Y[level - 1], nrhs), Z_(Z[level], nrhs);
GetProlongationAtLevel(level - 1)->ArrayMult(Y_, Z_);
for (int j = 0; j < nrhs; ++j)
const Array<const Vector *> cY_lm1((const Vector **)(Y[level - 1]), nrhs);
Array<Vector *> Y_l(Y[level], nrhs);
if (preSmoothingSteps == 0 && zero)
{
*Y(level, j) += *Z_[j];
GetProlongationAtLevel(level - 1)->ArrayMult(cY_lm1, Y_l);
}
else
{
GetProlongationAtLevel(level - 1)->ArrayAddMult(cY_lm1, Y_l);
}
}
mg_post_smooth:
// Post-smooth
for (int i = 0; i < postSmoothingSteps; ++i)
{
+20 -2
View File
@@ -36,12 +36,14 @@ protected:
Array<Solver*> smoothers;
Array<bool> ownedOperators;
Array<bool> ownedSmoothers;
Solver *coarse_solver; /// can be NULL, see AddCoarseSolver()
bool own_coarse_solver;
CycleType cycleType;
int preSmoothingSteps;
int postSmoothingSteps;
mutable Array2D<Vector*> X, Y, R, Z;
mutable Array2D<Vector*> X, Y, R;
mutable int nrhs;
public:
@@ -65,6 +67,16 @@ public:
void AddLevel(Operator* op, Solver* smoother, bool ownOperator,
bool ownSmoother);
/// Adds a coarse solver for level 0 to work in tandem with the smoother
/** If this coarse solver is not given, the smoother at level 0 is used as
the coarse solver. When this coarse solver is given, the smoother at
level 0 is used similar to the smoothers at other levels. Thus, the
action at level 0 consists of:
- pre-smoothing steps with smoother 0,
- solve step with @a c_solver,
- post-smoothing steps with smoother 0. */
void AddCoarseSolver(Solver *c_solver, bool own_c_solver);
/// Returns the number of levels
int NumLevels() const { return operators.Size(); }
@@ -118,11 +130,14 @@ public:
private:
/// Application of a multigrid cycle at particular level
void Cycle(int level) const;
void Cycle(int level, bool zero) const;
/// Application of a pre-/post-smoothing step at particular level
void SmoothingStep(int level, bool zero, bool transpose) const;
/// Perform a coarse solve with 'coarse_solve' (must be non-NULL)
void CoarseSolve(bool zero) const;
/// Allocate or destroy temporary storage
void InitVectors() const;
void EraseVectors() const;
@@ -202,6 +217,9 @@ public:
/// Recover the solution of a linear system formed with FormFineLinearSystem()
void RecoverFineFEMSolution(const Vector& X, const Vector& b, Vector& x);
const Array<int> &GetFineEssentialTrueDofs() const
{ return *essentialTrueDofs.Last(); }
};
} // namespace mfem
+2
View File
@@ -124,6 +124,8 @@ void ParBilinearForm::pAllocMat()
void ParBilinearForm::ParallelRAP(SparseMatrix &loc_A, OperatorHandle &A,
bool steal_loc_A)
{
MFEM_PERF_FUNCTION;
ParFiniteElementSpace &pfespace = *ParFESpace();
// Create a block diagonal parallel matrix
+167 -64
View File
@@ -5259,7 +5259,7 @@ DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
gc.GetNeighborLTDofTable(nbr_ltdof);
const int nb_connections = nbr_ltdof.Size_of_connections();
shr_ltdof.SetSize(nb_connections);
shr_ltdof.CopyFrom(nbr_ltdof.GetJ());
if (nb_connections > 0) { shr_ltdof.CopyFrom(nbr_ltdof.GetJ()); }
shr_buf.SetSize(nb_connections);
shr_buf.UseDevice(true);
shr_buf_offsets = nbr_ltdof.GetIMemory();
@@ -5288,7 +5288,7 @@ DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
gc.GetNeighborLDofTable(nbr_ldof);
const int nb_connections = nbr_ldof.Size_of_connections();
ext_ldof.SetSize(nb_connections);
ext_ldof.CopyFrom(nbr_ldof.GetJ());
if (nb_connections > 0) { ext_ldof.CopyFrom(nbr_ldof.GetJ()); }
ext_ldof.GetMemory().UseDevice(true);
ext_buf.SetSize(nb_connections);
ext_buf.UseDevice(true);
@@ -5309,6 +5309,18 @@ DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
if (recv_size > 0) { req_counter++; }
}
requests = new MPI_Request[req_counter];
if (mpi_gpu_aware)
{
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(
hipEventCreateWithFlags(&gpu_event, hipEventDisableTiming));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(
cudaEventCreateWithFlags(&gpu_event, cudaEventDisableTiming));
#else
MFEM_ABORT("not implemented");
#endif
}
}
DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
@@ -5322,16 +5334,27 @@ DeviceConformingProlongationOperator::DeviceConformingProlongationOperator(
}
static void ExtractSubVector(const Array<int> &indices,
const Vector &vin, Vector &vout)
const Vector &vin, Vector &vout,
real_t a, real_t b)
{
MFEM_ASSERT(indices.Size() == vout.Size(), "incompatible sizes!");
auto y = vout.Write();
auto y = (a == 0) ? vout.Write() : vout.ReadWrite();
const auto x = vin.Read();
const auto I = indices.Read();
mfem::forall(indices.Size(), [=] MFEM_HOST_DEVICE (int i)
if (a == 0)
{
y[i] = x[I[i]];
}); // indices can be repeated
mfem::forall(indices.Size(), [=] MFEM_HOST_DEVICE (int i)
{
y[i] = b*x[I[i]];
}); // indices can be repeated
}
else
{
mfem::forall(indices.Size(), [=] MFEM_HOST_DEVICE (int i)
{
y[i] = a*y[i] + b*x[I[i]];
}); // indices can be repeated
}
}
void DeviceConformingProlongationOperator::BcastBeginCopy(
@@ -5339,10 +5362,7 @@ void DeviceConformingProlongationOperator::BcastBeginCopy(
{
// shr_buf[i] = src[shr_ltdof[i]]
if (shr_ltdof.Size() == 0) { return; }
ExtractSubVector(shr_ltdof, x, shr_buf);
// If the above kernel is executed asynchronously, we should wait for it to
// complete
if (mpi_gpu_aware) { MFEM_STREAM_SYNC; }
ExtractSubVector(shr_ltdof, x, shr_buf, 0, 1);
}
static void SetSubVector(const Array<int> &indices,
@@ -5379,7 +5399,7 @@ void DeviceConformingProlongationOperator::Mult(const Vector &x,
Vector &y) const
{
const GroupTopology &gtopo = gc.GetGroupTopology();
int req_counter = 0;
int req_counter = 0, num_recv_req = 0;
// Make sure 'y' is marked as valid on device and for use on device.
// This ensures that there is no unnecessary host to device copy when the
// input 'y' is valid on host (in 'y.SetSubVector(ext_ldof, 0.0)' when local
@@ -5389,42 +5409,89 @@ void DeviceConformingProlongationOperator::Mult(const Vector &x,
{
// done on device since we've marked ext_ldof for use on device:
y.SetSubVector(ext_ldof, 0.0);
BcastLocalCopy(x, y);
return;
}
else
BcastBeginCopy(x); // copy to 'shr_buf'
if (mpi_gpu_aware && shr_ltdof.Size() != 0)
{
BcastBeginCopy(x); // copy to 'shr_buf'
/* record a stream event to wait for later */
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(hipEventRecord(gpu_event, 0));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(cudaEventRecord(gpu_event, 0));
#endif
}
BcastLocalCopy(x, y);
// Queue all receive communications
if (ext_ldof.Size() != 0) // ext_ldof.Size() == ext_buf.Size()
{
auto recv_buf = mpi_gpu_aware ? ext_buf.Write() : ext_buf.HostWrite();
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int recv_offset = ext_buf_offsets[nbr];
const int recv_size = ext_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
MPI_Irecv(recv_buf + recv_offset, recv_size,
MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41822,
gtopo.GetComm(), &requests[req_counter++]);
}
}
num_recv_req = req_counter;
}
// Queue all send communications
if (shr_ltdof.Size() != 0) // shr_ltdof.Size() == shr_buf.Size()
{
// The BcastBeginCopy kernel is executed asynchronously, we should wait
// for it to complete:
// - when mpi_gpu_aware == false, this is done implicily when we call
// shr_buf.HostRead()
// - when mpi_gpu_aware == true, we need to wait for BcastBeginCopy to
// complete by waiting for gpu_event.
if (mpi_gpu_aware)
{
/* wait for the stream event recorded above */
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(hipEventSynchronize(gpu_event));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(cudaEventSynchronize(gpu_event));
#endif
}
auto send_buf = mpi_gpu_aware ? shr_buf.Read() : shr_buf.HostRead();
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int send_offset = shr_buf_offsets[nbr];
const int send_size = shr_buf_offsets[nbr+1] - send_offset;
if (send_size > 0)
{
auto send_buf = mpi_gpu_aware ? shr_buf.Read() : shr_buf.HostRead();
MPI_Isend(send_buf + send_offset, send_size, MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41822,
gtopo.GetComm(), &requests[req_counter++]);
}
const int recv_offset = ext_buf_offsets[nbr];
const int recv_size = ext_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
auto recv_buf = mpi_gpu_aware ? ext_buf.Write() : ext_buf.HostWrite();
MPI_Irecv(recv_buf + recv_offset, recv_size, MPITypeMap<real_t>::mpi_type,
MPI_Isend(send_buf + send_offset, send_size,
MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41822,
gtopo.GetComm(), &requests[req_counter++]);
}
}
}
BcastLocalCopy(x, y);
if (!local)
{
MPI_Waitall(req_counter, requests, MPI_STATUSES_IGNORE);
BcastEndCopy(y); // copy from 'ext_buf'
}
// Wait for all receive requests
MPI_Waitall(num_recv_req, requests, MPI_STATUSES_IGNORE);
BcastEndCopy(y); // copy from 'ext_buf'
// Wait for all send requests
MPI_Waitall(req_counter - num_recv_req, requests + num_recv_req,
MPI_STATUSES_IGNORE);
}
DeviceConformingProlongationOperator::~DeviceConformingProlongationOperator()
{
if (mpi_gpu_aware)
{
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(hipEventDestroy(gpu_event));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(cudaEventDestroy(gpu_event));
#endif
}
delete [] requests;
ext_buf_offsets.Delete();
shr_buf_offsets.Delete();
@@ -5435,25 +5502,23 @@ void DeviceConformingProlongationOperator::ReduceBeginCopy(
{
// ext_buf[i] = src[ext_ldof[i]]
if (ext_ldof.Size() == 0) { return; }
ExtractSubVector(ext_ldof, x, ext_buf);
// If the above kernel is executed asynchronously, we should wait for it to
// complete
if (mpi_gpu_aware) { MFEM_STREAM_SYNC; }
ExtractSubVector(ext_ldof, x, ext_buf, 0, 1);
}
void DeviceConformingProlongationOperator::ReduceLocalCopy(
const Vector &x, Vector &y) const
const Vector &x, Vector &y, real_t a, real_t b) const
{
// dst[i] = src[ltdof_ldof[i]]
if (ltdof_ldof.Size() == 0) { return; }
ExtractSubVector(ltdof_ldof, x, y);
ExtractSubVector(ltdof_ldof, x, y, a, b);
}
static void AddSubVector(const Array<int> &unique_dst_indices,
const Array<int> &unique_to_src_offsets,
const Array<int> &unique_to_src_indices,
const Vector &src,
Vector &dst)
Vector &dst,
real_t b)
{
auto y = dst.ReadWrite();
const auto x = src.Read();
@@ -5463,56 +5528,94 @@ static void AddSubVector(const Array<int> &unique_dst_indices,
mfem::forall(unique_dst_indices.Size(), [=] MFEM_HOST_DEVICE (int i)
{
const int dst_idx = DST_I[i];
real_t sum = y[dst_idx];
real_t sum = 0;
const int end = SRC_O[i+1];
for (int j = SRC_O[i]; j != end; ++j) { sum += x[SRC_I[j]]; }
y[dst_idx] = sum;
y[dst_idx] += b*sum;
});
}
void DeviceConformingProlongationOperator::ReduceEndAssemble(Vector &y) const
void DeviceConformingProlongationOperator::ReduceEndAssemble(
Vector &y, real_t b) const
{
// dst[shr_ltdof[i]] += shr_buf[i]
if (unq_ltdof.Size() == 0) { return; }
AddSubVector(unq_ltdof, unq_shr_i, unq_shr_j, shr_buf, y);
AddSubVector(unq_ltdof, unq_shr_i, unq_shr_j, shr_buf, y, b);
}
void DeviceConformingProlongationOperator::MultTranspose(const Vector &x,
Vector &y) const
void DeviceConformingProlongationOperator::ApplyTranspose(
const Vector &x, Vector &y, real_t a, real_t b) const
{
const GroupTopology &gtopo = gc.GetGroupTopology();
int req_counter = 0;
if (!local)
int req_counter = 0, num_recv_req = 0;
if (local)
{
ReduceBeginCopy(x); // copy to 'ext_buf'
ReduceLocalCopy(x, y, a, b);
return;
}
ReduceBeginCopy(x); // copy to 'ext_buf'
if (mpi_gpu_aware && ext_ldof.Size() != 0)
{
/* record a stream event to wait for later */
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(hipEventRecord(gpu_event, 0));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(cudaEventRecord(gpu_event, 0));
#endif
}
ReduceLocalCopy(x, y, a, b);
// Queue all receive communications
if (unq_ltdof.Size() != 0)
{
auto recv_buf = mpi_gpu_aware ? shr_buf.Write() : shr_buf.HostWrite();
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int recv_offset = shr_buf_offsets[nbr];
const int recv_size = shr_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
MPI_Irecv(recv_buf + recv_offset, recv_size,
MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41823,
gtopo.GetComm(), &requests[req_counter++]);
}
}
num_recv_req = req_counter;
}
// Queue all send communications
if (ext_ldof.Size() != 0)
{
if (mpi_gpu_aware)
{
/* wait for the stream event recorded above */
#if defined(MFEM_USE_HIP)
MFEM_GPU_CHECK(hipEventSynchronize(gpu_event));
#elif defined(MFEM_USE_CUDA)
MFEM_GPU_CHECK(cudaEventSynchronize(gpu_event));
#endif
}
auto send_buf = mpi_gpu_aware ? ext_buf.Read() : ext_buf.HostRead();
for (int nbr = 1; nbr < gtopo.GetNumNeighbors(); nbr++)
{
const int send_offset = ext_buf_offsets[nbr];
const int send_size = ext_buf_offsets[nbr+1] - send_offset;
if (send_size > 0)
{
auto send_buf = mpi_gpu_aware ? ext_buf.Read() : ext_buf.HostRead();
MPI_Isend(send_buf + send_offset, send_size, MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41823,
gtopo.GetComm(), &requests[req_counter++]);
}
const int recv_offset = shr_buf_offsets[nbr];
const int recv_size = shr_buf_offsets[nbr+1] - recv_offset;
if (recv_size > 0)
{
auto recv_buf = mpi_gpu_aware ? shr_buf.Write() : shr_buf.HostWrite();
MPI_Irecv(recv_buf + recv_offset, recv_size, MPITypeMap<real_t>::mpi_type,
MPI_Isend(send_buf + send_offset, send_size,
MPITypeMap<real_t>::mpi_type,
gtopo.GetNeighborRank(nbr), 41823,
gtopo.GetComm(), &requests[req_counter++]);
}
}
}
ReduceLocalCopy(x, y);
if (!local)
{
MPI_Waitall(req_counter, requests, MPI_STATUSES_IGNORE);
ReduceEndAssemble(y); // assemble from 'shr_buf'
}
// Wait for all receive requests
MPI_Waitall(num_recv_req, requests, MPI_STATUSES_IGNORE);
ReduceEndAssemble(y, b); // assemble from 'shr_buf'
// Wait for all send requests
MPI_Waitall(req_counter - num_recv_req, requests + num_recv_req,
MPI_STATUSES_IGNORE);
}
} // namespace mfem
+18 -3
View File
@@ -586,6 +586,7 @@ public:
{ MultTranspose(x,y); }
};
/// Auxiliary device class used by ParFiniteElementSpace.
class DeviceConformingProlongationOperator: public
ConformingProlongationOperator
@@ -598,6 +599,11 @@ protected:
Array<int> ltdof_ldof, unq_ltdof;
Array<int> unq_shr_i, unq_shr_j;
MPI_Request *requests;
#if defined(MFEM_USE_HIP)
hipEvent_t gpu_event;
#elif defined(MFEM_USE_CUDA)
cudaEvent_t gpu_event;
#endif
// Kernel: copy ltdofs from 'src' to 'shr_buf' - prepare for send.
// shr_buf[i] = src[shr_ltdof[i]]
@@ -617,11 +623,12 @@ protected:
// Kernel: copy owned ldofs from 'src' to ltdofs in 'dst'.
// dst[i] = src[ltdof_ldof[i]]
void ReduceLocalCopy(const Vector &src, Vector &dst) const;
void ReduceLocalCopy(const Vector &src, Vector &dst,
real_t a, real_t b) const;
// Kernel: assemble dofs from 'shr_buf' into to 'dst' - after recv.
// dst[shr_ltdof[i]] += shr_buf[i]
void ReduceEndAssemble(Vector &dst) const;
void ReduceEndAssemble(Vector &dst, real_t b) const;
public:
DeviceConformingProlongationOperator(
@@ -632,12 +639,20 @@ public:
virtual ~DeviceConformingProlongationOperator();
void ApplyTranspose(const Vector &x, Vector &y,
real_t a, real_t b) const;
void Mult(const Vector &x, Vector &y) const override;
void AbsMult(const Vector &x, Vector &y) const override
{ Mult(x,y); }
void MultTranspose(const Vector &x, Vector &y) const override;
void MultTranspose(const Vector &x, Vector &y) const override
{ ApplyTranspose(x, y, 0, 1); }
void AddMultTranspose(const Vector &x, Vector &y,
real_t a = 1) const override
{ ApplyTranspose(x, y, 1, a); }
void AbsMultTranspose(const Vector &x, Vector &y) const override
{ MultTranspose(x,y); }
+3 -280
View File
@@ -9,278 +9,16 @@
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "../quadinterpolator.hpp"
#include "../../general/forall.hpp"
#include "../../linalg/dtensor.hpp"
#include "../../fem/kernels.hpp"
#include "../../linalg/kernels.hpp"
using namespace mfem;
#include "det.hpp"
namespace mfem
{
namespace internal
{
namespace quadrature_interpolator
{
static void Det1D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d,
const int q1d,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(b);
MFEM_CONTRACT_VAR(d_buff);
const auto G = Reshape(g, q1d, d1d);
const auto X = Reshape(x, d1d, NE);
auto Y = Reshape(y, q1d, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
for (int q = 0; q < q1d; q++)
{
real_t u = 0.0;
for (int d = 0; d < d1d; d++)
{
u += G(q, d) * X(d, e);
}
Y(q, e) = u;
}
});
}
template<int T_D1D = 0, int T_Q1D = 0>
static void Det2D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(d_buff);
static constexpr int SDIM = 2;
static constexpr int NBZ = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, SDIM, NE);
auto Y = Reshape(y, Q1D, Q1D, NE);
mfem::forall_2D_batch(NE, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE (int e)
{
constexpr int MQ1 = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t XY[SDIM][NBZ][MD1*MD1];
MFEM_SHARED real_t DQ[2*SDIM][NBZ][MD1*MQ1];
MFEM_SHARED real_t QQ[2*SDIM][NBZ][MQ1*MQ1];
kernels::internal::LoadX<MD1,NBZ>(e,D1D,X,XY);
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
kernels::internal::GradX<MD1,MQ1,NBZ>(D1D,Q1D,BG,XY,DQ);
kernels::internal::GradY<MD1,MQ1,NBZ>(D1D,Q1D,BG,DQ,QQ);
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J[4];
kernels::internal::PullGrad<MQ1,NBZ>(Q1D,qx,qy,QQ,J);
Y(qx,qy,e) = kernels::Det<2>(J);
}
}
});
}
template<int T_D1D = 0, int T_Q1D = 0>
static void Det2DSurface(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(d_buff);
static constexpr int SDIM = 3;
static constexpr int NBZ = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, SDIM, NE);
auto Y = Reshape(y, Q1D, Q1D, NE);
mfem::forall_2D_batch(NE, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE (int e)
{
constexpr int MQ1 = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int tidz = MFEM_THREAD_ID(z);
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t XYZ[SDIM][NBZ][MD1*MD1];
MFEM_SHARED real_t DQ[2*SDIM][NBZ][MD1*MQ1];
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
// Load XYZ components
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
for (int d = 0; d < SDIM; ++d)
{
XYZ[d][tidz][dx + dy*D1D] = X(dx,dy,d,e);
}
}
}
MFEM_SYNC_THREAD;
ConstDeviceMatrix B_mat(BG[0], D1D, Q1D);
ConstDeviceMatrix G_mat(BG[1], D1D, Q1D);
// x contraction
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
for (int d = 0; d < SDIM; ++d)
{
real_t u = 0.0;
real_t v = 0.0;
for (int dx = 0; dx < D1D; ++dx)
{
const real_t xval = XYZ[d][tidz][dx + dy*D1D];
u += xval * G_mat(dx,qx);
v += xval * B_mat(dx,qx);
}
DQ[d][tidz][dy + qx*D1D] = u;
DQ[3 + d][tidz][dy + qx*D1D] = v;
}
}
}
MFEM_SYNC_THREAD;
// y contraction and determinant computation
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J_[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0};
for (int d = 0; d < SDIM; ++d)
{
for (int dy = 0; dy < D1D; ++dy)
{
J_[d] += DQ[d][tidz][dy + qx*D1D] * B_mat(dy,qy);
J_[3 + d] += DQ[3 + d][tidz][dy + qx*D1D] * G_mat(dy,qy);
}
}
DeviceTensor<2> J(J_, 3, 2);
const real_t E = J(0,0)*J(0,0) + J(1,0)*J(1,0) + J(2,0)*J(2,0);
const real_t F = J(0,0)*J(0,1) + J(1,0)*J(1,1) + J(2,0)*J(2,1);
const real_t G = J(0,1)*J(0,1) + J(1,1)*J(1,1) + J(2,1)*J(2,1);
Y(qx,qy,e) = std::sqrt(E*G - F*F);
}
}
});
}
template<int T_D1D = 0, int T_Q1D = 0, bool SMEM = true>
static void Det3D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr) // used only with SMEM = false
{
constexpr int DIM = 3;
static constexpr int GRID = SMEM ? 0 : 128;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, D1D, DIM, NE);
auto Y = Reshape(y, Q1D, Q1D, Q1D, NE);
real_t *GM = nullptr;
if (!SMEM)
{
const DeviceDofQuadLimits &limits = DeviceDofQuadLimits::Get();
const int max_q1d = T_Q1D ? T_Q1D : limits.MAX_Q1D;
const int max_d1d = T_D1D ? T_D1D : limits.MAX_D1D;
const int max_qd = std::max(max_q1d, max_d1d);
const int mem_size = max_qd * max_qd * max_qd * 9;
d_buff->SetSize(2*mem_size*GRID);
GM = d_buff->Write();
}
mfem::forall_3D_grid(NE, Q1D, Q1D, Q1D, GRID, [=] MFEM_HOST_DEVICE (int e)
{
static constexpr int MQ1 = T_Q1D ? T_Q1D :
(SMEM ? DofQuadLimits::MAX_DET_1D : DofQuadLimits::MAX_Q1D);
static constexpr int MD1 = T_D1D ? T_D1D :
(SMEM ? DofQuadLimits::MAX_DET_1D : DofQuadLimits::MAX_D1D);
static constexpr int MDQ = MQ1 > MD1 ? MQ1 : MD1;
static constexpr int MSZ = MDQ * MDQ * MDQ * 9;
const int bid = MFEM_BLOCK_ID(x);
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t SM0[SMEM?MSZ:1];
MFEM_SHARED real_t SM1[SMEM?MSZ:1];
real_t *lm0 = SMEM ? SM0 : GM + MSZ*bid;
real_t *lm1 = SMEM ? SM1 : GM + MSZ*(GRID+bid);
real_t (*DDD)[MD1*MD1*MD1] = (real_t (*)[MD1*MD1*MD1]) (lm0);
real_t (*DDQ)[MD1*MD1*MQ1] = (real_t (*)[MD1*MD1*MQ1]) (lm1);
real_t (*DQQ)[MD1*MQ1*MQ1] = (real_t (*)[MD1*MQ1*MQ1]) (lm0);
real_t (*QQQ)[MQ1*MQ1*MQ1] = (real_t (*)[MQ1*MQ1*MQ1]) (lm1);
kernels::internal::LoadX<MD1>(e,D1D,X,DDD);
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
kernels::internal::GradX<MD1,MQ1>(D1D,Q1D,BG,DDD,DDQ);
kernels::internal::GradY<MD1,MQ1>(D1D,Q1D,BG,DDQ,DQQ);
kernels::internal::GradZ<MD1,MQ1>(D1D,Q1D,BG,DQQ,QQQ);
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J[9];
kernels::internal::PullGrad<MQ1>(Q1D, qx,qy,qz, QQQ, J);
Y(qx,qy,qz,e) = kernels::Det<3>(J);
}
}
}
});
}
void InitDetKernels()
{
using k = QuadratureInterpolator::DetKernels;
@@ -302,27 +40,12 @@ void InitDetKernels()
}
} // namespace quadrature_interpolator
} // namespace internal
/// @cond Suppress_Doxygen_warnings
namespace
{
using DetKernel = QuadratureInterpolator::DetKernelType;
}
template<int DIM, int SDIM, int D1D, int Q1D>
DetKernel QuadratureInterpolator::DetKernels::Kernel()
{
if (DIM == 1) { return internal::quadrature_interpolator::Det1D; }
else if (DIM == 2 && SDIM == 2) { return internal::quadrature_interpolator::Det2D<D1D, Q1D>; }
else if (DIM == 2 && SDIM == 3) { return internal::quadrature_interpolator::Det2DSurface<D1D, Q1D>; }
else if (DIM == 3) { return internal::quadrature_interpolator::Det3D<D1D, Q1D>; }
else { MFEM_ABORT(""); }
}
DetKernel QuadratureInterpolator::DetKernels::Fallback(
QuadratureInterpolator::DetKernelType
QuadratureInterpolator::DetKernels::Fallback(
int DIM, int SDIM, int D1D, int Q1D)
{
if (DIM == 1) { return internal::quadrature_interpolator::Det1D; }
+304
View File
@@ -0,0 +1,304 @@
// 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_QUADINTERP_DET_HPP
#define MFEM_QUADINTERP_DET_HPP
#include "../quadinterpolator.hpp"
#include "../../general/forall.hpp"
#include "../../linalg/dtensor.hpp"
#include "../../fem/kernels.hpp"
#include "../../linalg/kernels.hpp"
namespace mfem
{
namespace internal
{
namespace quadrature_interpolator
{
inline void Det1D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d,
const int q1d,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(b);
MFEM_CONTRACT_VAR(d_buff);
const auto G = Reshape(g, q1d, d1d);
const auto X = Reshape(x, d1d, NE);
auto Y = Reshape(y, q1d, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
for (int q = 0; q < q1d; q++)
{
real_t u = 0.0;
for (int d = 0; d < d1d; d++)
{
u += G(q, d) * X(d, e);
}
Y(q, e) = u;
}
});
}
template<int T_D1D = 0, int T_Q1D = 0>
inline void Det2D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(d_buff);
static constexpr int SDIM = 2;
static constexpr int NBZ = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, SDIM, NE);
auto Y = Reshape(y, Q1D, Q1D, NE);
mfem::forall_2D_batch(NE, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE (int e)
{
constexpr int MQ1 = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t XY[SDIM][NBZ][MD1*MD1];
MFEM_SHARED real_t DQ[2*SDIM][NBZ][MD1*MQ1];
MFEM_SHARED real_t QQ[2*SDIM][NBZ][MQ1*MQ1];
kernels::internal::LoadX<MD1,NBZ>(e,D1D,X,XY);
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
kernels::internal::GradX<MD1,MQ1,NBZ>(D1D,Q1D,BG,XY,DQ);
kernels::internal::GradY<MD1,MQ1,NBZ>(D1D,Q1D,BG,DQ,QQ);
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J[4];
kernels::internal::PullGrad<MQ1,NBZ>(Q1D,qx,qy,QQ,J);
Y(qx,qy,e) = kernels::Det<2>(J);
}
}
});
}
template<int T_D1D = 0, int T_Q1D = 0>
inline void Det2DSurface(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr)
{
MFEM_CONTRACT_VAR(d_buff);
static constexpr int SDIM = 3;
static constexpr int NBZ = 1;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, SDIM, NE);
auto Y = Reshape(y, Q1D, Q1D, NE);
mfem::forall_2D_batch(NE, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE (int e)
{
constexpr int MQ1 = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int MD1 = T_D1D ? T_D1D : DofQuadLimits::MAX_D1D;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int tidz = MFEM_THREAD_ID(z);
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t XYZ[SDIM][NBZ][MD1*MD1];
MFEM_SHARED real_t DQ[2*SDIM][NBZ][MD1*MQ1];
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
// Load XYZ components
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(dx,x,D1D)
{
for (int d = 0; d < SDIM; ++d)
{
XYZ[d][tidz][dx + dy*D1D] = X(dx,dy,d,e);
}
}
}
MFEM_SYNC_THREAD;
ConstDeviceMatrix B_mat(BG[0], D1D, Q1D);
ConstDeviceMatrix G_mat(BG[1], D1D, Q1D);
// x contraction
MFEM_FOREACH_THREAD(dy,y,D1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
for (int d = 0; d < SDIM; ++d)
{
real_t u = 0.0;
real_t v = 0.0;
for (int dx = 0; dx < D1D; ++dx)
{
const real_t xval = XYZ[d][tidz][dx + dy*D1D];
u += xval * G_mat(dx,qx);
v += xval * B_mat(dx,qx);
}
DQ[d][tidz][dy + qx*D1D] = u;
DQ[3 + d][tidz][dy + qx*D1D] = v;
}
}
}
MFEM_SYNC_THREAD;
// y contraction and determinant computation
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J_[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0};
for (int d = 0; d < SDIM; ++d)
{
for (int dy = 0; dy < D1D; ++dy)
{
J_[d] += DQ[d][tidz][dy + qx*D1D] * B_mat(dy,qy);
J_[3 + d] += DQ[3 + d][tidz][dy + qx*D1D] * G_mat(dy,qy);
}
}
DeviceTensor<2> J(J_, 3, 2);
const real_t E = J(0,0)*J(0,0) + J(1,0)*J(1,0) + J(2,0)*J(2,0);
const real_t F = J(0,0)*J(0,1) + J(1,0)*J(1,1) + J(2,0)*J(2,1);
const real_t G = J(0,1)*J(0,1) + J(1,1)*J(1,1) + J(2,1)*J(2,1);
Y(qx,qy,e) = std::sqrt(E*G - F*F);
}
}
});
}
template<int T_D1D = 0, int T_Q1D = 0, bool SMEM = true>
inline void Det3D(const int NE,
const real_t *b,
const real_t *g,
const real_t *x,
real_t *y,
const int d1d = 0,
const int q1d = 0,
Vector *d_buff = nullptr) // used only with SMEM = false
{
constexpr int DIM = 3;
static constexpr int GRID = SMEM ? 0 : 128;
const int D1D = T_D1D ? T_D1D : d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const auto B = Reshape(b, Q1D, D1D);
const auto G = Reshape(g, Q1D, D1D);
const auto X = Reshape(x, D1D, D1D, D1D, DIM, NE);
auto Y = Reshape(y, Q1D, Q1D, Q1D, NE);
real_t *GM = nullptr;
if (!SMEM)
{
const DeviceDofQuadLimits &limits = DeviceDofQuadLimits::Get();
const int max_q1d = T_Q1D ? T_Q1D : limits.MAX_Q1D;
const int max_d1d = T_D1D ? T_D1D : limits.MAX_D1D;
const int max_qd = std::max(max_q1d, max_d1d);
const int mem_size = max_qd * max_qd * max_qd * 9;
d_buff->SetSize(2*mem_size*GRID);
GM = d_buff->Write();
}
mfem::forall_3D_grid(NE, Q1D, Q1D, Q1D, GRID, [=] MFEM_HOST_DEVICE (int e)
{
static constexpr int MQ1 = T_Q1D ? T_Q1D :
(SMEM ? DofQuadLimits::MAX_DET_1D : DofQuadLimits::MAX_Q1D);
static constexpr int MD1 = T_D1D ? T_D1D :
(SMEM ? DofQuadLimits::MAX_DET_1D : DofQuadLimits::MAX_D1D);
static constexpr int MDQ = MQ1 > MD1 ? MQ1 : MD1;
static constexpr int MSZ = MDQ * MDQ * MDQ * 9;
const int bid = MFEM_BLOCK_ID(x);
MFEM_SHARED real_t BG[2][MQ1*MD1];
MFEM_SHARED real_t SM0[SMEM?MSZ:1];
MFEM_SHARED real_t SM1[SMEM?MSZ:1];
real_t *lm0 = SMEM ? SM0 : GM + MSZ*bid;
real_t *lm1 = SMEM ? SM1 : GM + MSZ*(GRID+bid);
real_t (*DDD)[MD1*MD1*MD1] = (real_t (*)[MD1*MD1*MD1]) (lm0);
real_t (*DDQ)[MD1*MD1*MQ1] = (real_t (*)[MD1*MD1*MQ1]) (lm1);
real_t (*DQQ)[MD1*MQ1*MQ1] = (real_t (*)[MD1*MQ1*MQ1]) (lm0);
real_t (*QQQ)[MQ1*MQ1*MQ1] = (real_t (*)[MQ1*MQ1*MQ1]) (lm1);
kernels::internal::LoadX<MD1>(e,D1D,X,DDD);
kernels::internal::LoadBG<MD1,MQ1>(D1D,Q1D,B,G,BG);
kernels::internal::GradX<MD1,MQ1>(D1D,Q1D,BG,DDD,DDQ);
kernels::internal::GradY<MD1,MQ1>(D1D,Q1D,BG,DDQ,DQQ);
kernels::internal::GradZ<MD1,MQ1>(D1D,Q1D,BG,DQQ,QQQ);
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t J[9];
kernels::internal::PullGrad<MQ1>(Q1D, qx,qy,qz, QQQ, J);
Y(qx,qy,qz,e) = kernels::Det<3>(J);
}
}
}
});
}
} // namespace quadrature_interpolator
} // namespace internal
/// @cond Suppress_Doxygen_warnings
template<int DIM, int SDIM, int D1D, int Q1D>
QuadratureInterpolator::DetKernelType
QuadratureInterpolator::DetKernels::Kernel()
{
if (DIM == 1) { return internal::quadrature_interpolator::Det1D; }
else if (DIM == 2 && SDIM == 2) { return internal::quadrature_interpolator::Det2D<D1D, Q1D>; }
else if (DIM == 2 && SDIM == 3) { return internal::quadrature_interpolator::Det2DSurface<D1D, Q1D>; }
else if (DIM == 3) { return internal::quadrature_interpolator::Det3D<D1D, Q1D>; }
else { MFEM_ABORT(""); }
}
/// @endcond
} // namespace mfem
#endif // MFEM_QUADINTERP_DET_HPP
+2
View File
@@ -503,6 +503,8 @@ void QuadratureInterpolator::Mult(const Vector &e_vec,
Vector &q_der,
Vector &q_det) const
{
MFEM_PERF_FUNCTION;
using namespace internal::quadrature_interpolator;
const int ne = fespace->GetNE();
+9 -27
View File
@@ -5122,33 +5122,32 @@ real_t TMOP_Integrator::GetSurfaceFittingWeight()
void TMOP_Integrator::EnableNormalization(const GridFunction &x)
{
ComputeNormalizationEnergies(x, metric_normal, lim_normal, surf_fit_normal);
ComputeNormalizationEnergies(x, metric_normal, lim_normal);
metric_normal = 1.0 / metric_normal;
lim_normal = 1.0 / lim_normal;
//if (surf_fit_gf) { surf_fit_normal = 1.0 / surf_fit_normal; }
if (surf_fit_gf || surf_fit_pos) { surf_fit_normal = lim_normal; }
}
#ifdef MFEM_USE_MPI
void TMOP_Integrator::ParEnableNormalization(const ParGridFunction &x)
{
real_t loc[3];
ComputeNormalizationEnergies(x, loc[0], loc[1], loc[2]);
real_t rdc[3];
MPI_Allreduce(loc, rdc, 3, MPITypeMap<real_t>::mpi_type, MPI_SUM,
real_t loc[2];
ComputeNormalizationEnergies(x, loc[0], loc[1]);
real_t rdc[2];
MPI_Allreduce(loc, rdc, 2, MPITypeMap<real_t>::mpi_type, MPI_SUM,
x.ParFESpace()->GetComm());
metric_normal = 1.0 / rdc[0];
lim_normal = 1.0 / rdc[1];
// if (surf_fit_gf) { surf_fit_normal = 1.0 / rdc[2]; }
if (surf_fit_gf || surf_fit_pos) { surf_fit_normal = lim_normal; }
}
#endif
void TMOP_Integrator::ComputeNormalizationEnergies(const GridFunction &x,
real_t &metric_energy,
real_t &lim_energy,
real_t &surf_fit_gf_energy)
real_t &lim_energy)
{
metric_energy = 0.0;
lim_energy = 0.0;
if (PA.enabled)
{
MFEM_VERIFY(PA.E.Size() > 0, "Must be called after AssemblePA!");
@@ -5191,9 +5190,6 @@ void TMOP_Integrator::ComputeNormalizationEnergies(const GridFunction &x,
Jpr.SetSize(dim);
Jpt.SetSize(dim);
metric_energy = 0.0;
lim_energy = 0.0;
surf_fit_gf_energy = 0.0;
for (int i = 0; i < fes->GetNE(); i++)
{
const FiniteElement *fe = fes->GetFE(i);
@@ -5225,21 +5221,7 @@ void TMOP_Integrator::ComputeNormalizationEnergies(const GridFunction &x,
lim_energy += weight;
}
// Normalization of the surface fitting term.
if (surf_fit_gf)
{
Array<int> dofs;
Vector sigma_e;
surf_fit_gf->FESpace()->GetElementDofs(i, dofs);
surf_fit_gf->GetSubVector(dofs, sigma_e);
for (int s = 0; s < dofs.Size(); s++)
{
if ((*surf_fit_marker)[dofs[s]] == true)
{
surf_fit_gf_energy += sigma_e(s) * sigma_e(s);
}
}
}
// TODO: Normalization of the surface fitting term.
}
// Cases when integration is not over the target element, or when the
+1 -2
View File
@@ -2038,8 +2038,7 @@ protected:
} PA;
void ComputeNormalizationEnergies(const GridFunction &x,
real_t &metric_energy, real_t &lim_energy,
real_t &surf_fit_gf_energy);
real_t &metric_energy, real_t &lim_energy);
void AssembleElementVectorExact(const FiniteElement &el,
ElementTransformation &T,
+181 -10
View File
@@ -13,6 +13,7 @@
#include "bilinearform.hpp"
#include "pbilinearform.hpp"
#include "../general/forall.hpp"
#include "kernels.hpp"
namespace mfem
{
@@ -2322,6 +2323,74 @@ void Prolongation2D(const int NE, const int D1D, const int Q1D,
});
}
template <int DLO, int DHI>
static void SmemProlongation3D(const int NE,
const Vector& localL, Vector& localH,
const Array<real_t> &b, const Vector& mask)
{
auto u_lo = Reshape(localL.Read(), DLO, DLO, DLO, NE);
auto u_hi = Reshape(localH.Write(), DHI, DHI, DHI, NE);
auto d_b = Reshape(b.Read(), DHI, DLO);
auto m_ = Reshape(mask.Read(), DHI, DHI, DHI, NE);
mfem::forall_2D(NE, DHI, DHI, [=] MFEM_HOST_DEVICE (int e)
{
// Load B into shared memory
MFEM_SHARED real_t s_B[DHI*DLO];
kernels::internal::LoadBt<DLO,DHI>(DLO,DHI,d_b,s_B);
const DeviceMatrix B(s_B, DHI, DLO);
MFEM_SHARED real_t s_u[DHI*DHI*DLO];
const DeviceCube u(s_u, DHI, DHI, DLO);
real_t v[DHI];
MFEM_FOREACH_THREAD(lx,x,DLO)
{
MFEM_FOREACH_THREAD(ly,y,DLO)
{
for (int hz = 0; hz < DHI; ++hz) { v[hz] = 0.0; }
for (int lz = 0; lz < DLO; ++lz)
{
const real_t XYZ = u_lo(lx,ly,lz,e);
for (int hz = 0; hz < DHI; ++hz) { v[hz] += XYZ * B(hz,lz); }
}
for (int hz = 0; hz < DHI; ++hz) { u(hz,ly,lx) = v[hz]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(hz,y,DHI)
{
MFEM_FOREACH_THREAD(lx,x,DLO)
{
for (int hy = 0; hy < DHI; ++hy) { v[hy] = 0.0; }
for (int ly = 0; ly < DLO; ++ly)
{
const real_t zYX = u(hz,ly,lx);
for (int hy = 0; hy < DHI; ++hy) { v[hy] += zYX * B(hy,ly); }
}
for (int hy = 0; hy < DHI; ++hy) { u(hz,hy,lx) = v[hy]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(hz,y,DHI)
{
MFEM_FOREACH_THREAD(hy,x,DHI)
{
for (int hx = 0; hx < DHI; ++hx) { v[hx] = 0.0; }
for (int lx = 0; lx < DLO; ++lx)
{
const real_t zyX = u(hz,hy,lx);
for (int hx = 0; hx < DHI; ++hx) { v[hx] += zyX * B(hx,lx); }
}
for (int hx = 0; hx < DHI; ++hx)
{
u_hi(hx,hy,hz,e) = m_(hx,hy,hz,e)*v[hx];
}
}
}
});
}
void Prolongation3D(const int NE, const int D1D, const int Q1D,
const Vector& localL, Vector& localH,
const Array<real_t>& B, const Vector& mask)
@@ -2403,9 +2472,9 @@ void Prolongation3D(const int NE, const int D1D, const int Q1D,
});
}
void Restriction2D(const int NE, const int D1D, const int Q1D,
const Vector& localH, Vector& localL,
const Array<real_t>& Bt, const Vector& mask)
void ProlongationTranspose2D(const int NE, const int D1D, const int Q1D,
const Vector& localH, Vector& localL,
const Array<real_t>& Bt, const Vector& mask)
{
auto x_ = Reshape(localH.Read(), Q1D, Q1D, NE);
auto y_ = Reshape(localL.Write(), D1D, D1D, NE);
@@ -2448,9 +2517,78 @@ void Restriction2D(const int NE, const int D1D, const int Q1D,
}
});
}
void Restriction3D(const int NE, const int D1D, const int Q1D,
const Vector& localH, Vector& localL,
const Array<real_t>& Bt, const Vector& mask)
template <int DLO, int DHI>
static void SmemProlongationTranspose3D(
const int NE, const Vector& localH, Vector& localL,
const Array<real_t>& bt, const Vector& mask)
{
auto u_h = Reshape(localH.Read(), DHI, DHI, DHI, NE);
auto u_l = Reshape(localL.Write(), DLO, DLO, DLO, NE);
auto d_bt = Reshape(bt.Read(), DLO, DHI);
auto m_ = Reshape(mask.Read(), DHI, DHI, DHI, NE);
mfem::forall_2D(NE, DHI, DHI, [=] MFEM_HOST_DEVICE (int e)
{
// Load Bt into shared memory
MFEM_SHARED real_t s_Bt[DHI*DLO];
kernels::internal::LoadBt<DHI,DLO>(DHI,DLO,d_bt,s_Bt);
const DeviceMatrix Bt(s_Bt, DLO, DHI);
MFEM_SHARED real_t s_u[DLO*DHI*DHI];
const DeviceCube u(s_u, DLO, DHI, DHI);
real_t v[DLO];
MFEM_FOREACH_THREAD(hx,x,DHI)
{
MFEM_FOREACH_THREAD(hy,y,DHI)
{
for (int lz = 0; lz < DLO; ++lz) { v[lz] = 0.0; }
for (int hz = 0; hz < DHI; ++hz)
{
const real_t XYZ = m_(hx,hy,hz,e)*u_h(hx,hy,hz,e);
for (int lz = 0; lz < DLO; ++lz) { v[lz] += XYZ * Bt(lz,hz); }
}
for (int lz = 0; lz < DLO; ++lz) { u(lz,hy,hx) = v[lz]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(lz,y,DLO)
{
MFEM_FOREACH_THREAD(hx,x,DHI)
{
for (int ly = 0; ly < DLO; ++ly) { v[ly] = 0.0; }
for (int hy = 0; hy < DHI; ++hy)
{
const real_t zYX = u(lz,hy,hx);
for (int ly = 0; ly < DLO; ++ly) { v[ly] += zYX * Bt(ly,hy); }
}
for (int ly = 0; ly < DLO; ++ly) { u(lz,ly,hx) = v[ly]; }
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(lz,y,DLO)
{
MFEM_FOREACH_THREAD(ly,x,DLO)
{
for (int lx = 0; lx < DLO; ++lx) { v[lx] = 0.0; }
for (int hx = 0; hx < DHI; ++hx)
{
const real_t zyX = u(lz,ly,hx);
for (int lx = 0; lx < DLO; ++lx) { v[lx] += zyX * Bt(lx,hx); }
}
for (int lx = 0; lx < DLO; ++lx)
{
u_l(lx,ly,lz,e) = v[lx];
}
}
}
});
}
void ProlongationTranspose3D(const int NE, const int D1D, const int Q1D,
const Vector& localH, Vector& localL,
const Array<real_t>& Bt, const Vector& mask)
{
auto x_ = Reshape(localH.Read(), Q1D, Q1D, Q1D, NE);
auto y_ = Reshape(localL.Write(), D1D, D1D, D1D, NE);
@@ -2518,11 +2656,14 @@ void Restriction3D(const int NE, const int D1D, const int Q1D,
}
});
}
} // namespace TransferKernels
void TensorProductPRefinementTransferOperator::Mult(const Vector& x,
Vector& y) const
{
using namespace TransferKernels;
if (lFESpace.GetMesh()->GetNE() == 0)
{
return;
@@ -2531,11 +2672,25 @@ void TensorProductPRefinementTransferOperator::Mult(const Vector& x,
elem_restrict_lex_l->Mult(x, localL);
if (dim == 2)
{
TransferKernels::Prolongation2D(NE, D1D, Q1D, localL, localH, B, mask);
Prolongation2D(NE, D1D, Q1D, localL, localH, B, mask);
}
else if (dim == 3)
{
TransferKernels::Prolongation3D(NE, D1D, Q1D, localL, localH, B, mask);
switch ((D1D << 4 ) | Q1D)
{
case 0x23:
SmemProlongation3D<2,3>(NE, localL, localH, B, mask); break;
case 0x24:
SmemProlongation3D<2,4>(NE, localL, localH, B, mask); break;
case 0x35:
SmemProlongation3D<3,5>(NE, localL, localH, B, mask); break;
case 0x46:
SmemProlongation3D<4,6>(NE, localL, localH, B, mask); break;
case 0x47:
SmemProlongation3D<4,7>(NE, localL, localH, B, mask); break;
default:
Prolongation3D(NE, D1D, Q1D, localL, localH, B, mask); break;
}
}
else
{
@@ -2549,6 +2704,8 @@ void TensorProductPRefinementTransferOperator::Mult(const Vector& x,
void TensorProductPRefinementTransferOperator::MultTranspose(const Vector& x,
Vector& y) const
{
using namespace TransferKernels;
if (lFESpace.GetMesh()->GetNE() == 0)
{
return;
@@ -2557,11 +2714,25 @@ void TensorProductPRefinementTransferOperator::MultTranspose(const Vector& x,
elem_restrict_lex_h->Mult(x, localH);
if (dim == 2)
{
TransferKernels::Restriction2D(NE, D1D, Q1D, localH, localL, Bt, mask);
ProlongationTranspose2D(NE, D1D, Q1D, localH, localL, Bt, mask);
}
else if (dim == 3)
{
TransferKernels::Restriction3D(NE, D1D, Q1D, localH, localL, Bt, mask);
switch ((D1D << 4 ) | Q1D)
{
case 0x23:
SmemProlongationTranspose3D<2,3>(NE, localH, localL, Bt, mask); break;
case 0x24:
SmemProlongationTranspose3D<2,4>(NE, localH, localL, Bt, mask); break;
case 0x35:
SmemProlongationTranspose3D<3,5>(NE, localH, localL, Bt, mask); break;
case 0x46:
SmemProlongationTranspose3D<4,6>(NE, localH, localL, Bt, mask); break;
case 0x47:
SmemProlongationTranspose3D<4,7>(NE, localH, localL, Bt, mask); break;
default:
ProlongationTranspose3D(NE, D1D, Q1D, localH, localL, Bt, mask); break;
}
}
else
{
-3
View File
@@ -621,9 +621,6 @@ public:
const FiniteElementSpace& lFESpace_,
const FiniteElementSpace& hFESpace_);
/// Destructor
virtual ~TensorProductPRefinementTransferOperator() { }
/// @brief Interpolation or prolongation of a vector \p x corresponding to
/// the coarse space to the vector \p y corresponding to the fine space.
void Mult(const Vector& x, Vector& y) const override;
+95 -8
View File
@@ -14,24 +14,111 @@
#include "../config/config.hpp"
#ifdef MFEM_USE_CALIPER
#define MFEM_CONCAT_(X,Y) X##Y
#define MFEM_CONCAT(X,Y) MFEM_CONCAT_(X,Y)
#ifdef MFEM_USE_CALIPER
#include "device.hpp"
#include "backends.hpp"
#ifdef MFEM_USE_MPI
#include "communication.hpp"
#endif
#include <optional>
#include <caliper/cali.h>
#include <caliper/cali-manager.h>
#define MFEM_PERF_FUNCTION CALI_CXX_MARK_FUNCTION
#define MFEM_PERF_BEGIN(s) CALI_MARK_BEGIN(s)
#define MFEM_PERF_END(s) CALI_MARK_END(s)
#endif
namespace mfem
{
namespace internal
{
extern int annotation_sync_stream; // defined in globals.cpp
extern int annotation_sync_mpi; // defined in globals.cpp
extern int annotation_enabled; // defined in globals.cpp
#ifdef MFEM_USE_CALIPER
inline void AnnotationSync()
{
if (!annotation_enabled) { return; }
if (annotation_sync_stream && Device::Allows(Backend::DEVICE_MASK))
{
MFEM_STREAM_SYNC;
}
#ifdef MFEM_USE_MPI
if (annotation_sync_mpi && Mpi::IsInitialized() && !Mpi::IsFinalized())
{
MPI_Barrier(GetGlobalMPI_Comm());
}
#endif
}
struct FunctionAnnotation
{
std::optional<cali::Function> cali_func;
FunctionAnnotation(const char *fname)
{
AnnotationSync();
if (annotation_enabled) { cali_func.emplace(fname); }
}
~FunctionAnnotation() { AnnotationSync(); }
};
struct ScopeAnnotation
{
std::optional<cali::ScopeAnnotation> cali_scope;
ScopeAnnotation(const char *name)
{
AnnotationSync();
if (annotation_enabled) { cali_scope.emplace(name); }
}
~ScopeAnnotation() { AnnotationSync(); }
};
#endif // #ifdef MFEM_USE_CALIPER
} // namespace internal
} // namespace mfem
#ifdef MFEM_USE_CALIPER
#define MFEM_PERF_FUNCTION \
mfem::internal::FunctionAnnotation mfem_func_annotation_(_MFEM_FUNC_NAME)
#define MFEM_PERF_BEGIN(s) \
(mfem::internal::AnnotationSync(), CALI_MARK_BEGIN(s))
#define MFEM_PERF_END(s) \
(mfem::internal::AnnotationSync(), CALI_MARK_END(s))
#define MFEM_PERF_SCOPE(name) \
cali::Annotation::Guard cali_autogenerated_guard_name(cali::Annotation("function").begin(std::string(name).c_str()))
mfem::internal::ScopeAnnotation \
MFEM_CONCAT(mfem_scope_annotation_,__LINE__)(name)
#define MFEM_PERF_SYNC_STREAM(b) (mfem::internal::annotation_sync_stream = (b))
#define MFEM_PERF_SYNC_MPI(b) (mfem::internal::annotation_sync_mpi = (b))
#define MFEM_PERF_SYNC(b) (MFEM_PERF_SYNC_STREAM(b), MFEM_PERF_SYNC_MPI(b))
#define MFEM_PERF_ENABLE (mfem::internal::annotation_enabled = 1)
#define MFEM_PERF_DISABLE (mfem::internal::annotation_enabled = 0)
#else
#else // #ifdef MFEM_USE_CALIPER
#define MFEM_PERF_FUNCTION
#define MFEM_PERF_BEGIN(s)
#define MFEM_PERF_END(s)
#define MFEM_PERF_SCOPE(name)
#endif
#define MFEM_PERF_SYNC_STREAM(b)
#define MFEM_PERF_SYNC_MPI(b)
#define MFEM_PERF_SYNC(b)
#define MFEM_PERF_ENABLE
#define MFEM_PERF_DISABLE
#endif
#endif // #ifdef MFEM_USE_CALIPER
#endif // MFEM_ANNOTATION_HPP
+5 -1
View File
@@ -326,7 +326,11 @@ public:
the Size to match this Capacity after this.*/
template <typename U>
inline void CopyFrom(const U *src)
{ std::memcpy(begin(), src, MemoryUsage()); }
{
if (!begin() || size == 0) { return; }
MFEM_ASSERT(begin() && src, "Error in Array::CopyFrom");
std::memcpy(begin(), src, MemoryUsage());
}
/// STL-like begin. Returns pointer to the first element of the array.
inline T* begin() { return data; }
+1
View File
@@ -62,6 +62,7 @@
#define MFEM_THREAD_ID(k) 0
#define MFEM_THREAD_SIZE(k) 1
#define MFEM_FOREACH_THREAD(i,k,N) for(int i=0; i<N; i++)
#define MFEM_FOREACH_THREAD_DIRECT(i,k,N) MFEM_FOREACH_THREAD(i,k,N)
#endif
// 'double' and 'float' atomicAdd implementation for previous versions of CUDA
+3 -7
View File
@@ -23,13 +23,9 @@
#include <mpi.h>
#include <cstdint>
// can't directly use MPI_CXX_BOOL because Microsoft's MPI implementation
// doesn't include MPI_CXX_BOOL. Fallback to MPI_C_BOOL if unavailable.
#ifdef MPI_CXX_BOOL
#define MFEM_MPI_CXX_BOOL MPI_CXX_BOOL
#else
#define MFEM_MPI_CXX_BOOL MPI_C_BOOL
#endif
// Some MPI implementations do not have MPI_CXX_BOOL or do not handle it
// correctly, so we use MPI_UNSIGNED_CHAR as the MPI type for 'bool':
#define MFEM_MPI_CXX_BOOL MPI_UNSIGNED_CHAR
namespace mfem
{
+1
View File
@@ -47,6 +47,7 @@
#define MFEM_THREAD_ID(k) threadIdx.k
#define MFEM_THREAD_SIZE(k) blockDim.k
#define MFEM_FOREACH_THREAD(i,k,N) for(int i=threadIdx.k; i<N; i+=blockDim.k)
#define MFEM_FOREACH_THREAD_DIRECT(i,k,N) if(const int i=threadIdx.k; i<N)
#endif
namespace mfem
+52
View File
@@ -16,6 +16,7 @@
#include "../fem/ceed/interface/util.hpp"
#endif
#ifdef MFEM_USE_MPI
#include "communication.hpp"
#include "../linalg/hypre.hpp"
#endif
@@ -145,6 +146,27 @@ Device::Device()
Configure(device);
device_env = true;
}
if (GetEnv("MFEM_GPU_AWARE_MPI"))
{
SetGPUAwareMPI(true);
}
if (const char *mfem_perf_sync = GetEnv("MFEM_PERF_SYNC"))
{
MFEM_PERF_SYNC(std::atoi(mfem_perf_sync));
MFEM_CONTRACT_VAR(mfem_perf_sync);
}
if (const char *mfem_perf_sync_stream = GetEnv("MFEM_PERF_SYNC_STREAM"))
{
MFEM_PERF_SYNC_STREAM(std::atoi(mfem_perf_sync_stream));
MFEM_CONTRACT_VAR(mfem_perf_sync_stream);
}
if (const char *mfem_perf_sync_mpi = GetEnv("MFEM_PERF_SYNC_MPI"))
{
MFEM_PERF_SYNC_MPI(std::atoi(mfem_perf_sync_mpi));
MFEM_CONTRACT_VAR(mfem_perf_sync_mpi);
}
}
Device::~Device()
@@ -196,6 +218,29 @@ void Device::Configure(const std::string &device, const int device_id)
{
bmap[internal::backend_name[i]] = internal::backend_list[i];
}
// auto-detect GPU configurations
// assumes only one of HIP or CUDA are available
#ifdef MFEM_USE_HIP
bmap["gpu"] = Backend::HIP;
#ifdef MFEM_USE_RAJA
bmap["raja-gpu"] = Backend::RAJA_HIP;
#endif
#ifdef MFEM_USE_CEED
bmap["ceed-gpu"] = Backend::CEED_HIP;
#endif
// no OCCA+HIP?
#elif defined(MFEM_USE_CUDA)
bmap["gpu"] = Backend::CUDA;
#ifdef MFEM_USE_RAJA
bmap["raja-gpu"] = Backend::RAJA_CUDA;
#endif
#ifdef MFEM_USE_CEED
bmap["ceed-gpu"] = Backend::CEED_CUDA;
#endif
#ifdef MFEM_USE_OCCA
bmap["occa-gpu"] = Backend::OCCA_CUDA;
#endif
#endif
std::string device_option;
std::string::size_type beg = 0, end;
while (1)
@@ -313,6 +358,13 @@ void Device::Print(std::ostream &os)
{
os << ',' << MemoryTypeName[static_cast<int>(device_mem_type)];
}
#ifdef MFEM_USE_MPI
if (Allows(Backend::DEVICE_MASK) &&
Mpi::IsInitialized() && !Mpi::IsFinalized())
{
os << "\nUse GPU-aware MPI: " << (GetGPUAwareMPI() ? "yes" : "no");
}
#endif
os << std::endl;
}
+4
View File
@@ -198,6 +198,10 @@ public:
'ceed-hip', 'hip', 'debug',
'occa-omp', 'raja-omp', 'omp',
'ceed-cpu', 'occa-cpu', 'raja-cpu', 'cpu'.
- The following backend aliases are also available: 'ceed-gpu',
'occa-gpu', 'raja-gpu', and 'gpu' where they alias their respective
'*-cuda' or '*-hip' backends depending on the MFEM build-time
configuration.
- Multiple backends can be configured at the same time.
- Only one 'occa-*' backend can be configured at a time.
- The backend 'occa-cuda' enables the 'cuda' backend unless 'raja-cuda'
+1 -1
View File
@@ -193,4 +193,4 @@ void mfem_warning(const char *msg)
}
}
}
} // namespace mfem
+1 -1
View File
@@ -208,4 +208,4 @@ __device__ void abort_msg(T & msg)
#define MFEM_ASSERT_KERNEL(x,...)
#endif
#endif
#endif // MFEM_ERROR_HPP
+4
View File
@@ -31,6 +31,10 @@ namespace internal
{
bool mfem_out_initialized = false;
bool mfem_err_initialized = false;
int annotation_sync_stream = 0; // declared in annotation.hpp
int annotation_sync_mpi = 0; // declared in annotation.hpp
int annotation_enabled = 1; // declared in annotation.hpp
}
void OutStream::Init()
+3 -1
View File
@@ -47,7 +47,9 @@
#define MFEM_THREAD_ID(k) hipThreadIdx_ ##k
#define MFEM_THREAD_SIZE(k) hipBlockDim_ ##k
#define MFEM_FOREACH_THREAD(i,k,N) \
for(int i=hipThreadIdx_ ##k; i<N; i+=hipBlockDim_ ##k)
for(int i=hipThreadIdx_ ##k; i<N; i+=hipBlockDim_ ##k)
#define MFEM_FOREACH_THREAD_DIRECT(i,k,N) \
if(const int i=hipThreadIdx_ ##k; i<N)
#endif
namespace mfem
+6 -4
View File
@@ -657,7 +657,8 @@ private: // Static methods used by the Memory<T> class
/// Return the host pointer.
MFEM_ENZYME_INACTIVE static void *Register_(void *ptr, void *h_ptr,
size_t bytes, MemoryType mt,
bool own, bool alias, unsigned &flags);
bool own, bool alias,
unsigned &flags);
/// Register a pair of external host and device pointers
static void Register2_(void *h_ptr, void *d_ptr, size_t bytes,
@@ -741,7 +742,7 @@ private:
/// Insert a host address @a h_ptr and size *a bytes in the memory map to be
/// managed.
void Insert(void *h_ptr, size_t bytes, MemoryType h_mt, MemoryType d_mt);
void Insert(void *h_ptr, size_t bytes, MemoryType h_mt, MemoryType d_mt);
/// Insert a device and the host addresses in the memory map
void InsertDevice(void *d_ptr, void *h_ptr, size_t bytes,
@@ -980,7 +981,7 @@ inline void Memory<T>::Wrap(T *ptr, int size, bool own)
#ifdef MFEM_DEBUG
if (own && MemoryManager::Exists())
{
MemoryType h_ptr_mt = MemoryManager::GetHostMemoryType_(h_ptr);
MemoryType h_ptr_mt = MemoryManager::GetHostMemoryType_((void*)h_ptr);
MFEM_VERIFY(h_mt == h_ptr_mt,
"h_mt = " << (int)h_mt << ", h_ptr_mt = " << (int)h_ptr_mt);
}
@@ -988,7 +989,8 @@ inline void Memory<T>::Wrap(T *ptr, int size, bool own)
if (own && h_mt != MemoryType::HOST)
{
const size_t bytes = size*sizeof(T);
MemoryManager::Register_(ptr, ptr, bytes, h_mt, own, false, flags);
MemoryManager::Register_((void*)ptr, (void*)ptr, bytes, h_mt, own, false,
flags);
}
}
+4 -4
View File
@@ -20,13 +20,13 @@
#define MFEM_CU_or_HIP(stub) HIP##stub
#endif
#define MFEM_CONCAT(x, y, z) MFEM_CONCAT_(x, y, z)
#define MFEM_CONCAT_(x, y, z) x ## y ## z
#define MFEM_CONCAT3(x, y, z) MFEM_CONCAT3_(x, y, z)
#define MFEM_CONCAT3_(x, y, z) x ## y ## z
#ifdef MFEM_USE_SINGLE
#define MFEM_GPUBLAS_PREFIX(stub) MFEM_CONCAT(MFEM_cu_or_hip(blas), S, stub)
#define MFEM_GPUBLAS_PREFIX(stub) MFEM_CONCAT3(MFEM_cu_or_hip(blas), S, stub)
#elif defined(MFEM_USE_DOUBLE)
#define MFEM_GPUBLAS_PREFIX(stub) MFEM_CONCAT(MFEM_cu_or_hip(blas), D, stub)
#define MFEM_GPUBLAS_PREFIX(stub) MFEM_CONCAT3(MFEM_cu_or_hip(blas), D, stub)
#endif
#define MFEM_BLAS_SUCCESS MFEM_CU_or_HIP(BLAS_STATUS_SUCCESS)
+16
View File
@@ -2574,6 +2574,18 @@ void HypreParMatrix::EliminateBC(const Array<int> &ess_dofs,
#if defined(HYPRE_USING_GPU)
if (HypreUsingGPU())
{
#if defined(HYPRE_WITH_GPU_AWARE_MPI) || defined(HYPRE_USING_GPU_AWARE_MPI)
// hypre_GetGpuAwareMPI() was introduced in v2.31.0, however, its value
// is not checked in hypre_ParCSRCommHandleCreate_v2() before v2.33.0,
// instead only HYPRE_WITH_GPU_AWARE_MPI is checked.
#if MFEM_HYPRE_VERSION >= 23300
if (hypre_GetGpuAwareMPI())
#endif
{
// ensure int_buf_data has been computed before sending it
MFEM_STREAM_SYNC;
}
#endif
// Try to use device-aware MPI for the communication if available
comm_handle = hypre_ParCSRCommHandleCreate_v2(
11, comm_pkg, HYPRE_MEMORY_DEVICE, int_buf_data,
@@ -4079,6 +4091,8 @@ void HypreSolver::Setup(const HypreParVector &b, HypreParVector &x) const
{
if (setup_called) { return; }
MFEM_PERF_FUNCTION;
MFEM_VERIFY(A != NULL, "HypreParMatrix A is missing");
HYPRE_Int err_flag = SetupFcn()(*this, *A, b, x);
@@ -4104,6 +4118,8 @@ void HypreSolver::Setup(const Vector &b, Vector &x) const
void HypreSolver::Mult(const HypreParVector &b, HypreParVector &x) const
{
MFEM_PERF_FUNCTION;
HYPRE_Int err_flag;
if (A == NULL)
{
+8 -6
View File
@@ -50,17 +50,19 @@ void Operator::InitTVectors(const Operator *Po, const Operator *Ri,
void Operator::AddMult(const Vector &x, Vector &y, const real_t a) const
{
mfem::Vector z(y.Size());
Mult(x, z);
y.Add(a, z);
z_am.SetSize(y.Size());
z_am.UseDevice(true);
Mult(x, z_am);
y.Add(a, z_am);
}
void Operator::AddMultTranspose(const Vector &x, Vector &y,
const real_t a) const
{
mfem::Vector z(y.Size());
MultTranspose(x, z);
y.Add(a, z);
z_am.SetSize(y.Size());
z_am.UseDevice(true);
MultTranspose(x, z_am);
y.Add(a, z_am);
}
void Operator::ArrayMult(const Array<const Vector *> &X,
+7
View File
@@ -23,6 +23,13 @@ class RectangularConstrainedOperator;
/// Abstract operator
class Operator
{
private:
/// Auxiliary Vector used by the methods AddMult() and AddMultTranspose().
/** @note This Vector is private to prevent derived classes from accidentaly
using it in their implementation of Mult() or MultTranspose() which may
lead to hard-to-find bugs. */
mutable Vector z_am;
protected:
int height; ///< Dimension of the output / number of rows in the matrix.
int width; ///< Dimension of the input / number of columns in the matrix.
+79 -36
View File
@@ -314,25 +314,29 @@ void OperatorJacobiSmoother::Mult(const Vector &x, Vector &y) const
MFEM_VERIFY(x.Size() == Width(), "invalid input vector");
MFEM_VERIFY(y.Size() == Height(), "invalid output vector");
auto DI = dinv.Read();
auto X = x.Read();
if (iterative_mode)
{
MFEM_VERIFY(oper, "iterative_mode == true requires the forward operator");
oper->Mult(y, residual); // r = A y
subtract(x, residual, residual); // r = x - A y
auto R = residual.Read();
auto Y = y.ReadWrite();
// y += D^{-1} (x - A y)
mfem::forall(height, [=] MFEM_HOST_DEVICE (int i)
{
Y[i] += DI[i] * (X[i] - R[i]);
});
}
else
{
residual = x;
y.UseDevice(true);
y = 0.0;
auto Y = y.Write();
// y = D^{-1} x
mfem::forall(height, [=] MFEM_HOST_DEVICE (int i)
{
Y[i] = DI[i] * X[i];
});
}
auto DI = dinv.Read();
auto R = residual.Read();
auto Y = y.ReadWrite();
mfem::forall(height, [=] MFEM_HOST_DEVICE (int i)
{
Y[i] += DI[i] * R[i];
});
}
OperatorChebyshevSmoother::OperatorChebyshevSmoother(const Operator &oper_,
@@ -348,7 +352,8 @@ OperatorChebyshevSmoother::OperatorChebyshevSmoother(const Operator &oper_,
diag(d),
coeffs(order),
ess_tdof_list(ess_tdofs),
residual(N),
residual(order > 1 ? N : 0),
z(order > 1 ? N : 0),
oper(&oper_) { Setup(); }
#ifdef MFEM_USE_MPI
@@ -375,7 +380,8 @@ OperatorChebyshevSmoother::OperatorChebyshevSmoother(const Operator &oper_,
diag(d),
coeffs(order),
ess_tdof_list(ess_tdofs),
residual(N),
residual(order > 1 ? N : 0),
z(order > 1 ? N : 0),
oper(&oper_)
{
OperatorJacobiSmoother invDiagOperator(diag, ess_tdofs, 1.0);
@@ -422,7 +428,7 @@ void OperatorChebyshevSmoother::Setup()
{
// Invert diagonal
residual.UseDevice(true);
helperVector.UseDevice(true);
z.UseDevice(true);
auto D = diag.Read();
auto X = dinv.Write();
mfem::forall(N, [=] MFEM_HOST_DEVICE (int i) { X[i] = 1.0 / D[i]; });
@@ -432,6 +438,20 @@ void OperatorChebyshevSmoother::Setup()
X[I[i]] = 1.0;
});
const int order_save = order;
order = -1; // avoid early exit in SetOrder() when 'new_order' == 'order'
SetOrder(order_save);
}
void OperatorChebyshevSmoother::SetOrder(int new_order)
{
if (new_order == order) { return; }
order = new_order;
coeffs.SetSize(order);
residual.SetSize(order > 1 ? N : 0);
z.SetSize(order > 1 ? N : 0);
// Set up Chebyshev coefficients
// For reference, see e.g., Parallel multigrid smoothing: polynomial versus
// Gauss-Seidel by Adams et al.
@@ -511,32 +531,55 @@ void OperatorChebyshevSmoother::Mult(const Vector& x, Vector &y) const
MFEM_ABORT("Chebyshev smoother requires operator");
}
residual = x;
helperVector.SetSize(x.Size());
helperVector.UseDevice(true);
y.UseDevice(true);
y = 0.0;
for (int k = 0; k < order; ++k)
// for k = 0, perform:
// r = D^{-1} x
// y = C_0 r
const real_t C_0 = coeffs[0];
auto Dinv = dinv.Read();
auto X = x.Read();
auto Y0 = y.Write();
if (order == 1)
{
// Apply
if (k > 0)
mfem::forall(N, [=] MFEM_HOST_DEVICE (int i)
{
oper->Mult(residual, helperVector);
residual = helperVector;
}
Y0[i] = C_0 * Dinv[i] * X[i];
});
}
else
{
auto R0 = residual.Write();
mfem::forall(N, [=] MFEM_HOST_DEVICE (int i)
{
Y0[i] = C_0 * (R0[i] = Dinv[i] * X[i]);
});
}
// Scale residual by inverse diagonal
const int n = N;
auto Dinv = dinv.Read();
auto R = residual.ReadWrite();
mfem::forall(n, [=] MFEM_HOST_DEVICE (int i) { R[i] *= Dinv[i]; });
for (int k = 1; k < order; ++k)
{
// Apply: z = A r
oper->Mult(residual, z);
// Add weighted contribution to y
// Scale residual by inverse diagonal and add weighted contribution to y:
// r = D^{-1} z
// y += C_k r
const real_t C_k = coeffs[k];
auto Z = z.Read();
auto Y = y.ReadWrite();
auto C = coeffs.Read();
mfem::forall(n, [=] MFEM_HOST_DEVICE (int i) { Y[i] += C[k] * R[i]; });
if (k < order-1)
{
auto R = residual.Write();
mfem::forall(N, [=] MFEM_HOST_DEVICE (int i)
{
Y[i] += C_k * (R[i] = Dinv[i] * Z[i]);
});
}
else
{
mfem::forall(N, [=] MFEM_HOST_DEVICE (int i)
{
Y[i] += C_k * Dinv[i] * Z[i];
});
}
}
}
@@ -3213,7 +3256,7 @@ void ResidualBCMonitor::MonitorResidual(
MPI_Comm comm = iter_solver->GetComm();
if (comm != MPI_COMM_NULL)
{
double glob_bc_norm_squared = 0.0;
real_t glob_bc_norm_squared = 0.0;
MPI_Reduce(&bc_norm_squared, &glob_bc_norm_squared, 1,
MPITypeMap<real_t>::mpi_type,
MPI_SUM, 0, comm);
+9 -8
View File
@@ -380,11 +380,11 @@ public:
void SetPositiveDiagonal(bool pos_diag = true) { use_abs_diag = pos_diag; }
/// Approach the solution of the linear system by applying Jacobi smoothing.
void Mult(const Vector &x, Vector &y) const;
void Mult(const Vector &x, Vector &y) const override;
/** @brief Approach the solution of the transposed linear system by applying
Jacobi smoothing. */
void MultTranspose(const Vector &x, Vector &y) const { Mult(x, y); }
void MultTranspose(const Vector &x, Vector &y) const override { Mult(x, y); }
/** @brief Recompute the diagonal using the method AssembleDiagonal of the
given new Operator, @a op. */
@@ -397,7 +397,7 @@ public:
When the new Operator, @a op, is not a (Par)BilinearForm, any previously
set array of essential true-dofs will be thrown away because in this case
any essential b.c. will be handled by the AssembleDiagonal method. */
void SetOperator(const Operator &op);
void SetOperator(const Operator &op) override;
private:
Vector dinv;
@@ -481,21 +481,22 @@ public:
/** @brief Approach the solution of the linear system by applying Chebyshev
smoothing. */
void Mult(const Vector &x, Vector &y) const;
void Mult(const Vector &x, Vector &y) const override;
/** @brief Approach the solution of the transposed linear system by applying
Chebyshev smoothing. */
void MultTranspose(const Vector &x, Vector &y) const { Mult(x, y); }
void MultTranspose(const Vector &x, Vector &y) const override { Mult(x, y); }
void SetOperator(const Operator &op_)
void SetOperator(const Operator &op_) override
{
oper = &op_;
}
void Setup();
void SetOrder(int new_order);
private:
const int order;
int order;
real_t max_eig_estimate;
const int N;
Vector dinv;
@@ -503,7 +504,7 @@ private:
Array<real_t> coeffs;
const Array<int>& ess_tdof_list;
mutable Vector residual;
mutable Vector helperVector;
mutable Vector z;
const Operator* oper;
};
+8 -5
View File
@@ -125,7 +125,8 @@ EXAMPLE_TEST_DIRS := examples
MINIAPP_SUBDIRS = common electromagnetics meshing navier performance tools \
toys nurbs gslib adjoint solvers shifted mtop parelag tribol autodiff dfem \
hooke multidomain dpg hdiv-linear-solver spde diag-smoothers
hooke multidomain dpg hdiv-linear-solver spde diag-smoothers \
benchmarks/ceed-solver-bps
MINIAPP_DIRS := $(addprefix miniapps/,$(MINIAPP_SUBDIRS))
MINIAPP_TEST_DIRS := $(filter-out %/common,$(MINIAPP_DIRS))
MINIAPP_USE_COMMON := $(addprefix miniapps/,electromagnetics meshing tools \
@@ -145,7 +146,7 @@ MFEM_BUILD_DIR ?= .
BUILD_DIR := $(MFEM_BUILD_DIR)
BUILD_REAL_DIR := $(abspath $(BUILD_DIR))
ifneq ($(BUILD_REAL_DIR),$(MFEM_REAL_DIR))
BUILD_SUBDIRS = $(DIRS) config $(EM_DIRS) doc $(TEST_DIRS)
BUILD_SUBDIRS = $(DIRS) config $(EM_DIRS) doc $(TEST_DIRS) tests/benchmarks
CONFIG_FILE_DEF = -DMFEM_CONFIG_FILE='"$(BUILD_REAL_DIR)/config/_config.hpp"'
BLD := $(if $(BUILD_REAL_DIR:$(CURDIR)=),$(BUILD_DIR)/,)
$(if $(word 2,$(BLD)),$(error Spaces in BLD = "$(BLD)" are not supported))
@@ -582,13 +583,14 @@ test-print:
@for dir in $(ALL_TEST_DIRS); do \
$(MAKE) -j1 -C $(BLD)$${dir} test-print; done
ALL_CLEAN_SUBDIRS = $(addsuffix /clean,config $(EM_DIRS) doc $(TEST_DIRS))
ALL_CLEAN_SUBDIRS = $(addsuffix /clean,config $(EM_DIRS) doc $(TEST_DIRS) \
tests/benchmarks)
.PHONY: $(ALL_CLEAN_SUBDIRS) miniapps/clean
miniapps/clean: $(addsuffix /clean,$(MINIAPP_DIRS))
$(ALL_CLEAN_SUBDIRS):
$(MAKE) -C $(BLD)$(@D) $(@F)
clean: $(addsuffix /clean,$(EM_DIRS) $(TEST_DIRS))
clean: $(addsuffix /clean,$(EM_DIRS) $(TEST_DIRS) tests/benchmarks)
rm -f $(addprefix $(BLD),$(foreach d,$(DIRS),$(d)/*.o))
rm -f $(addprefix $(BLD),$(foreach d,$(DIRS),$(d)/*~))
rm -rf $(addprefix $(BLD),*~ libmfem.* deps.mk)
@@ -691,7 +693,8 @@ local-config:
.PHONY: build-config
build-config:
for d in $(BUILD_SUBDIRS); do mkdir -p $(BLD)$${d}; done
for dir in "" $(addsuffix /,config $(EM_DIRS) doc $(TEST_DIRS)); do \
for dir in "" $(addsuffix /,config $(EM_DIRS) doc $(TEST_DIRS) \
tests/benchmarks); do \
printf "# Auto-generated file.\n%s\n%s\n" \
"MFEM_DIR = $(MFEM_REAL_DIR)" \
"include \$$(MFEM_DIR)/$${dir}makefile" \
+35 -27
View File
@@ -26,6 +26,12 @@
}\
}
#if defined(MFEM_USE_DOUBLE)
#define MFEM_NETCDF_REAL_T NC_DOUBLE
#elif defined(MFEM_USE_SINGLE)
#define MFEM_NETCDF_REAL_T NC_FLOAT
#endif
namespace mfem
{
@@ -135,18 +141,18 @@ public:
/// @brief Writes the mesh to an ExodusII file.
/// @param fpath The path to the file.
/// @param flags NC_CLOBBER will overwrite existing file.
void PrintExodusII(std::string fpath, int flags = NC_CLOBBER);
void PrintExodusII(const std::string &fpath, int flags = NC_CLOBBER);
/// @brief Static method for writing a mesh to an ExodusII file.
/// @param mesh The mesh to write to the file.
/// @param fpath The path to the file.
/// @param flags NetCDF file flags.
static void PrintExodusII(Mesh & mesh, std::string fpath,
static void PrintExodusII(Mesh & mesh, const std::string &fpath,
int flags = NC_CLOBBER);
protected:
/// @brief Closes any open file and creates a NetCDF file using selected flags.
void OpenExodusII(std::string fpath, int flags);
void OpenExodusII(const std::string &fpath, int flags);
/// @brief Closes any open file.
void CloseExodusII();
@@ -167,9 +173,9 @@ protected:
std::unordered_set<int> GenerateUniqueNodeIDs();
/// @brief Populates vectors with x, y, z coordinates from mesh.
void ExtractVertexCoordinates(std::vector<double> & coordx,
std::vector<double> & coordy,
std::vector<double> & coordz);
void ExtractVertexCoordinates(std::vector<real_t> &coordx,
std::vector<real_t> &coordy,
std::vector<real_t> &coordz);
/// @brief Writes node connectivity for a particular block.
/// @param block_id The block to write to the file.
@@ -187,7 +193,7 @@ protected:
/// @brief Writes the number of elements in the mesh.
void WriteNumOfElements();
/// @brief Writes the floating-point word size (4 == float; 8 == double).
/// @brief Writes the floating-point word size (sizeof(real_t)).
void WriteFloatingPointWordSize();
/// @brief Writes the API version.
@@ -291,7 +297,7 @@ private:
std::map<int, std::vector<int>> exodusII_side_ids_for_boundary_id;
};
void Mesh::PrintExodusII(const std::string fpath)
void Mesh::PrintExodusII(const std::string &fpath)
{
ExodusIIWriter::PrintExodusII(*this, fpath);
}
@@ -362,7 +368,7 @@ void ExodusIIWriter::WriteExodusIIMeshInformation()
WriteNodeSets();
}
void ExodusIIWriter::PrintExodusII(std::string fpath, int flags)
void ExodusIIWriter::PrintExodusII(const std::string &fpath, int flags)
{
OpenExodusII(fpath, flags);
@@ -374,7 +380,7 @@ void ExodusIIWriter::PrintExodusII(std::string fpath, int flags)
mfem::out << "Mesh successfully written to Exodus II file" << std::endl;
}
void ExodusIIWriter::PrintExodusII(Mesh & mesh, std::string fpath,
void ExodusIIWriter::PrintExodusII(Mesh &mesh, const std::string &fpath,
int flags)
{
ExodusIIWriter writer(mesh);
@@ -382,7 +388,7 @@ void ExodusIIWriter::PrintExodusII(Mesh & mesh, std::string fpath,
writer.PrintExodusII(fpath, flags);
}
void ExodusIIWriter::OpenExodusII(std::string fpath, int flags)
void ExodusIIWriter::OpenExodusII(const std::string &fpath, int flags)
{
CloseExodusII(); // Close any open files.
@@ -422,7 +428,7 @@ void ExodusIIWriter::WriteNumOfElements()
void ExodusIIWriter::WriteFloatingPointWordSize()
{
const int word_size = 8;
const int word_size = sizeof(real_t);
PutAtt(NC_GLOBAL, ExodusIILabels::EXODUS_FLOATING_POINT_WORD_SIZE_LABEL,
NC_INT, 1,
&word_size);
@@ -430,13 +436,15 @@ void ExodusIIWriter::WriteFloatingPointWordSize()
void ExodusIIWriter::WriteAPIVersion()
{
PutAtt(NC_GLOBAL, ExodusIILabels::EXODUS_API_VERSION_LABEL, NC_FLOAT, 1,
PutAtt(NC_GLOBAL, ExodusIILabels::EXODUS_API_VERSION_LABEL, MFEM_NETCDF_REAL_T,
1,
&ExodusIILabels::EXODUS_API_VERSION);
}
void ExodusIIWriter::WriteDatabaseVersion()
{
PutAtt(NC_GLOBAL, ExodusIILabels::EXODUS_DATABASE_VERSION_LABEL, NC_FLOAT, 1,
PutAtt(NC_GLOBAL, ExodusIILabels::EXODUS_DATABASE_VERSION_LABEL,
MFEM_NETCDF_REAL_T, 1,
&ExodusIILabels::EXODUS_DATABASE_VERSION);
}
@@ -607,25 +615,25 @@ void ExodusIIWriter::WriteNodalCoordinates()
DefineDimension("num_nodes", num_nodes, &num_nodes_id);
// 3. Extract the nodal coordinates.
// NB: assume doubles (could be floats!); ndims = 1 (vector).
// NB: writes in format real_t (double or float); ndims = 1 (vector).
// https://docs.unidata.ucar.edu/netcdf-c/current/group__variables.html#gac7e8662c51f3bb07d1fc6d6c6d9052c8
std::vector<double> coordx(num_nodes);
std::vector<double> coordy(num_nodes);
std::vector<double> coordz(mesh.Dimension() == 3 ? num_nodes : 0);
std::vector<real_t> coordx(num_nodes);
std::vector<real_t> coordy(num_nodes);
std::vector<real_t> coordz(mesh.Dimension() == 3 ? num_nodes : 0);
ExtractVertexCoordinates(coordx, coordy, coordz);
// 4. Define and put the nodal coordinates.
DefineAndPutVar(ExodusIILabels::EXODUS_COORDX_LABEL, NC_DOUBLE, 1,
DefineAndPutVar(ExodusIILabels::EXODUS_COORDX_LABEL, MFEM_NETCDF_REAL_T, 1,
&num_nodes_id,
coordx.data());
DefineAndPutVar(ExodusIILabels::EXODUS_COORDY_LABEL, NC_DOUBLE, 1,
DefineAndPutVar(ExodusIILabels::EXODUS_COORDY_LABEL, MFEM_NETCDF_REAL_T, 1,
&num_nodes_id,
coordy.data());
if (mesh.Dimension() == 3)
{
DefineAndPutVar(ExodusIILabels::EXODUS_COORDZ_LABEL, NC_DOUBLE, 1,
DefineAndPutVar(ExodusIILabels::EXODUS_COORDZ_LABEL, MFEM_NETCDF_REAL_T, 1,
&num_nodes_id,
coordz.data());
}
@@ -770,9 +778,9 @@ void ExodusIIWriter::WriteNodeConnectivityForBlock(const int block_id)
}
void ExodusIIWriter::ExtractVertexCoordinates(std::vector<double> & coordx,
std::vector<double> & coordy,
std::vector<double> & coordz)
void ExodusIIWriter::ExtractVertexCoordinates(std::vector<real_t> & coordx,
std::vector<real_t> & coordy,
std::vector<real_t> & coordz)
{
if (mesh.GetNodes()) // Higher-order.
{
@@ -782,7 +790,7 @@ void ExodusIIWriter::ExtractVertexCoordinates(std::vector<double> & coordx,
sorted_node_ids.assign(unordered_node_ids.begin(), unordered_node_ids.end());
std::sort(sorted_node_ids.begin(), sorted_node_ids.end());
double coordinates[3];
real_t coordinates[3];
for (size_t i = 0; i < sorted_node_ids.size(); i++)
{
int node_id = sorted_node_ids[i];
@@ -802,7 +810,7 @@ void ExodusIIWriter::ExtractVertexCoordinates(std::vector<double> & coordx,
{
for (int ivertex = 0; ivertex < mesh.GetNV(); ivertex++)
{
double * coordinates = mesh.GetVertex(ivertex);
real_t *coordinates = mesh.GetVertex(ivertex);
coordx[ivertex] = coordinates[0];
coordy[ivertex] = coordinates[1];
@@ -1080,4 +1088,4 @@ void ExodusIIWriter::CheckNodalFESpaceIsSecondOrderH1() const
#endif
}
}
+4
View File
@@ -883,6 +883,8 @@ const GeometricFactors* Mesh::GetGeometricFactors(const IntegrationRule& ir,
const int flags,
MemoryType d_mt)
{
MFEM_PERF_FUNCTION;
for (int i = 0; i < geom_factors.Size(); i++)
{
GeometricFactors *gf = geom_factors[i];
@@ -2994,6 +2996,7 @@ void Mesh::DoNodeReorder(DSTable *old_v_to_v, Table *old_elem_vert)
const int num_edge_dofs = old_dofs.Size();
// Save the original nodes
Nodes->HostReadWrite(); // for "(*Nodes)() = "
const Vector onodes = *Nodes;
// vertex dofs do not need to be moved
@@ -14648,6 +14651,7 @@ GeometricFactors::GeometricFactors(const GridFunction &nodes,
void GeometricFactors::Compute(const GridFunction &nodes,
MemoryType d_mt)
{
MFEM_PERF_FUNCTION;
const FiniteElementSpace *fespace = nodes.FESpace();
const FiniteElement *fe = fespace->GetTypicalFE();
+1 -1
View File
@@ -2537,7 +2537,7 @@ public:
#ifdef MFEM_USE_NETCDF
/// @brief Export a mesh to an Exodus II file.
void PrintExodusII(const std::string fpath);
void PrintExodusII(const std::string &fpath);
#endif
/** @brief Prints the mesh with boundary elements given by the boundary of
+3 -13
View File
@@ -802,21 +802,11 @@ struct BufferReader : BufferReaderBase
{
// Each "data block" is preceded by a header that is either UInt32 or
// UInt64. The rest of the data follows.
uint64_t data_size;
if (header_type == UINT32_HEADER)
{
uint32_t *data_size_32 = (uint32_t *)header_buf;
data_size = *data_size_32;
}
else
{
uint64_t *data_size_64 = (uint64_t *)header_buf;
data_size = *data_size_64;
}
MFEM_VERIFY(sizeof(F)*n == data_size, "AppendedData: wrong data size");
MFEM_VERIFY(sizeof(F)*n == ReadHeaderEntry(header_buf),
"AppendedData: wrong data size");
}
if (std::is_same<T, F>::value)
if (std::is_same_v<T, F>)
{
// Special case: no type conversions necessary, so can just memcpy
memcpy(dest, buf, sizeof(T)*n);
+14 -6
View File
@@ -9,8 +9,13 @@
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "mesh_headers.hpp"
#include "../fem/fem.hpp"
#include "nurbs.hpp"
#include "point.hpp"
#include "segment.hpp"
#include "quadrilateral.hpp"
#include "hexahedron.hpp"
#include "../fem/gridfunc.hpp"
#include "../general/text.hpp"
#include <fstream>
@@ -33,6 +38,7 @@ KnotVector::KnotVector(istream &input)
knot.Load(input, NumOfControlPoints + Order + 1);
GetElements();
coarse = false;
}
KnotVector::KnotVector(int order, int NCP)
@@ -41,6 +47,7 @@ KnotVector::KnotVector(int order, int NCP)
NumOfControlPoints = NCP;
knot.SetSize(NumOfControlPoints + Order + 1);
NumOfElements = 0;
coarse = false;
knot = -1.;
}
@@ -86,6 +93,7 @@ KnotVector::KnotVector(int order, const Vector& intervals,
++NumOfElements;
}
}
coarse = false;
}
KnotVector &KnotVector::operator=(const KnotVector &kv)
@@ -1431,8 +1439,8 @@ void NURBSPatch::DegreeElevate(int dir, int t)
KnotVector &oldkv = *kv[dir];
oldkv.GetElements();
NURBSPatch *newpatch = new NURBSPatch(this, dir, oldkv.GetOrder() + t,
oldkv.GetNCP() + oldkv.GetNE()*t);
auto *newpatch = new NURBSPatch(this, dir, oldkv.GetOrder() + t,
oldkv.GetNCP() + oldkv.GetNE()*t);
NURBSPatch &newp = *newpatch;
KnotVector &newkv = *newp.GetKV(dir);
@@ -4587,7 +4595,7 @@ void NURBSExtension::KnotInsert(Array<Vector *> &kv)
// Flip vector
int size = pkvc[d]->Size();
int ns = ceil(size/2.0);
int ns = static_cast<int>(ceil(size/2.0));
for (int j = 0; j < ns; j++)
{
real_t tmp = apb - pkvc[d]->Elem(j);
@@ -4647,7 +4655,7 @@ void NURBSExtension::KnotRemove(Array<Vector *> &kv, real_t tol)
// Flip vector
int size = pkvc[d]->Size();
int ns = ceil(size/2.0);
int ns = static_cast<int>(ceil(size/2.0));
for (int j = 0; j < ns; j++)
{
real_t tmp = apb - pkvc[d]->Elem(j);
+2 -3
View File
@@ -22,7 +22,6 @@
#include "../general/communication.hpp"
#endif
#include <iostream>
#include <set>
namespace mfem
{
@@ -55,7 +54,7 @@ protected:
public:
/// Create an empty KnotVector.
KnotVector() { }
KnotVector() = default;
/** @brief Create a KnotVector by reading data from stream @a input. Two
integers are read, for order and number of control points. */
@@ -74,7 +73,7 @@ public:
polynomial degree). Periodicity is not supported.
*/
KnotVector(int order, const Vector& intervals,
const Array<int>& continuity );
const Array<int>& continuity);
/// Copy constructor.
KnotVector(const KnotVector &kv) { (*this) = kv; }
+2 -1
View File
@@ -3132,11 +3132,12 @@ void ParMesh::GetFaceNbrElementTransformation(
pNodes->ParFESpace()->GetFaceNbrElementVDofs(FaceNo, vdofs);
int n = vdofs.Size()/spaceDim;
pointmat.SetSize(spaceDim, n);
pNodes->FaceNbrData().HostRead();
for (int k = 0; k < spaceDim; k++)
{
for (int j = 0; j < n; j++)
{
pointmat(k,j) = (pNodes->FaceNbrData())(vdofs[n*k+j]);
pointmat(k,j) = AsConst(pNodes->FaceNbrData())(vdofs[n*k+j]);
}
}
+44 -42
View File
@@ -84,7 +84,7 @@ void VTKHDF::EnsureSteps()
}
hid_t VTKHDF::EnsureDataset(hid_t f, const std::string &name, hid_t type,
int ndims)
Dims &dims)
{
const char *name_c = name.c_str();
@@ -94,20 +94,23 @@ hid_t VTKHDF::EnsureDataset(hid_t f, const std::string &name, hid_t type,
if (status == 0)
{
// Dataset does not exist, create it.
Dims dims(ndims);
Dims maxdims(ndims, H5S_UNLIMITED);
const hid_t fspace = H5Screate_simple(ndims, dims, maxdims);
const int ndims = dims.ndims;
// The dataset is allowed to grow in the first dimension, but is fixed
// in size in all other dimesions; the maximum dataset size is same as
// dims, but unlimited in first dimension.
Dims max_dims = dims;
max_dims[0] = H5S_UNLIMITED;
const hid_t fspace = H5Screate_simple(ndims, dims, max_dims);
Dims chunk(ndims);
size_t chunk_size_bytes = 1024 * 1024 / 2; // 0.5 MB
const size_t t_bytes = H5Tget_size(type);
for (int i = 1; i < ndims; ++i)
{
chunk[i] = 16;
chunk_size_bytes /= 16;
chunk[i] = dims[i];
chunk_size_bytes /= dims[i];
}
chunk[0] = chunk_size_bytes / t_bytes;
for (int i = 1; i < ndims; ++i) { chunk[i] = 16; }
const hid_t dcpl = H5Pcreate(H5P_DATASET_CREATE);
H5Pset_chunk(dcpl, ndims, chunk);
if (compression_level >= 0)
@@ -124,7 +127,19 @@ hid_t VTKHDF::EnsureDataset(hid_t f, const std::string &name, hid_t type,
else if (status > 0)
{
// Dataset exists, open it.
return H5Dopen2(f, name_c, H5P_DEFAULT);
const hid_t d = H5Dopen2(f, name_c, H5P_DEFAULT);
// Resize the dataset, set dims to its new size.
Dims old_dims(dims.ndims);
const hid_t dspace = H5Dget_space(d);
const int ndims_dset = H5Sget_simple_extent_ndims(dspace);
MFEM_VERIFY(ndims_dset == dims.ndims, "");
H5Sget_simple_extent_dims(dspace, old_dims, NULL);
H5Sclose(dspace);
dims[0] += old_dims[0];
H5Dset_extent(d, dims);
return d;
}
else
{
@@ -160,27 +175,13 @@ void VTKHDF::AppendParData(hid_t f, const std::string &name, hsize_t locsize,
hsize_t offset, Dims globsize, T *data)
{
const int ndims = globsize.ndims;
const hid_t d = EnsureDataset(f, name, GetTypeID<T>(), ndims);
// Resize the dataset, set dims to its new size.
hsize_t old_size;
Dims dims(ndims);
{
const hid_t dspace = H5Dget_space(d);
const int ndims_dset = H5Sget_simple_extent_ndims(dspace);
MFEM_VERIFY(ndims_dset == ndims, "");
H5Sget_simple_extent_dims(dspace, dims, NULL);
H5Sclose(dspace);
old_size = dims[0];
dims[0] += globsize[0];
for (int i = 1; i < ndims; ++i) { dims[i] = globsize[i]; }
H5Dset_extent(d, dims);
}
Dims dims = globsize;
const hid_t d = EnsureDataset(f, name, GetTypeID<T>(), dims);
// Write the new entry.
const hid_t dspace = H5Dget_space(d);
Dims start(ndims);
start[0] = old_size + offset;
start[0] = dims[0] - globsize[0] + offset;
Dims count(ndims);
count[0] = locsize;
for (int i = 1; i < ndims; ++i) { count[i] = globsize[i]; }
@@ -334,14 +335,14 @@ void VTKHDF::Truncate(const real_t t)
}
// Index of found time index (may be 'one-past-the-end' if not found)
const int i = std::distance(tvals.begin(), it);
const ptrdiff_t i = std::distance(tvals.begin(), it);
// Only truncate if needed
const bool truncate = it != tvals.end();
// Number of steps we are keeping
nsteps = i;
H5LTset_attribute_int(vtk, "Steps", "NSteps", &nsteps, 1);
H5LTset_attribute_ulong(vtk, "Steps", "NSteps", &nsteps, 1);
// We want to continue writing immediately after step 'i - 1'. If i = 0,
// then this is at the beginning of the file, and the offsets do not need
@@ -509,7 +510,7 @@ void VTKHDF::UpdateSteps(real_t t)
// Set the NSteps attribute
++nsteps;
H5LTset_attribute_int(steps, ".", "NSteps", &nsteps, 1);
H5LTset_attribute_ulong(steps, ".", "NSteps", &nsteps, 1);
AppendValue(steps, "Values", t);
AppendValue(steps, "PartOffsets", part_offset);
@@ -618,16 +619,16 @@ void VTKHDF::SaveMesh(const Mesh &mesh, bool high_order, int ref)
for (int i = 0; i < pmat.Width(); i++)
{
points.push_back(pmat(0,i));
if (pmat.Height() > 1) { points.push_back(pmat(1,i)); }
points.push_back(FP_T(pmat(0,i)));
if (pmat.Height() > 1) { points.push_back(FP_T(pmat(1,i))); }
else { points.push_back(0.0); }
if (pmat.Height() > 2) { points.push_back(pmat(2,i)); }
if (pmat.Height() > 2) { points.push_back(FP_T(pmat(2,i))); }
else { points.push_back(0.0); }
}
}
}
const hsize_t ne_0 = mesh.GetNE();
const int ne_0 = mesh.GetNE();
const hsize_t ne = high_order ? ne_0 : ne_ref;
AppendParData(vtk, "NumberOfPoints", 1, mpi_rank, mpi_dims, &np);
@@ -657,7 +658,7 @@ void VTKHDF::SaveMesh(const Mesh &mesh, bool high_order, int ref)
if (high_order)
{
Array<int> local_connectivity;
for (size_t e = 0; e < ne; ++e)
for (int e = 0; e < int(ne); ++e)
{
offsets[e] = off;
const Geometry::Type geom = mesh.GetElementGeometry(e);
@@ -675,7 +676,7 @@ void VTKHDF::SaveMesh(const Mesh &mesh, bool high_order, int ref)
{
int off_0 = 0;
int e_ref = 0;
for (hsize_t e = 0; e < ne_0; ++e)
for (int e = 0; e < ne_0; ++e)
{
const Geometry::Type geom = mesh.GetElementGeometry(e);
const int nv = get_nv(e);
@@ -714,12 +715,13 @@ void VTKHDF::SaveMesh(const Mesh &mesh, bool high_order, int ref)
const int *vtk_geom_map =
high_order ? VTKGeometry::HighOrderMap : VTKGeometry::Map;
int e_ref = 0;
for (hsize_t e = 0; e < ne_0; ++e)
for (int e = 0; e < ne_0; ++e)
{
const int ne_ref = get_ne_ref(e, ref_0);
for (int i = 0; i < ne_ref; ++i, ++e_ref)
const int ne_ref_e = get_ne_ref(e, ref_0);
for (int i = 0; i < ne_ref_e; ++i, ++e_ref)
{
cell_types[e_ref] = vtk_geom_map[mesh.GetElementGeometry(e)];
cell_types[e_ref] = static_cast<unsigned char>(
vtk_geom_map[mesh.GetElementGeometry(e)]);
}
}
AppendParData(vtk, "Types", ne, e_offset, Dims({ne_total}),
@@ -732,11 +734,11 @@ void VTKHDF::SaveMesh(const Mesh &mesh, bool high_order, int ref)
EnsureGroup("CellData", cell_data);
std::vector<int> attributes(ne);
hsize_t e_ref = 0;
for (hsize_t e = 0; e < ne_0; ++e)
for (int e = 0; e < ne_0; ++e)
{
const int attr = mesh.GetAttribute(e);
const int ne_ref = get_ne_ref(e, ref_0);
for (int i = 0; i < ne_ref; ++i, ++e_ref)
const int ne_ref_e = get_ne_ref(e, ref_0);
for (int i = 0; i < ne_ref_e; ++i, ++e_ref)
{
attributes[e_ref] = attr;
}
@@ -772,7 +774,7 @@ void VTKHDF::SaveGridFunction(const GridFunction &gf, const std::string &name)
{
for (int vd = 0; vd < vdim; ++vd)
{
point_values[off] = vec_val(vd, i);
point_values[off] = FP_T(vec_val(vd, i));
++off;
}
}
+9 -7
View File
@@ -76,14 +76,14 @@ private:
/// Wrapper for storing dataset dimensions (max ndims is 2D in VTKHDF).
struct Dims
{
static constexpr int MAX_NDIMS = 2;
static constexpr size_t MAX_NDIMS = 2;
std::array<hsize_t, MAX_NDIMS> data = { }; // Zero initialized
int ndims = 0;
Dims() = default;
Dims(int ndims_) : ndims(ndims_) { MFEM_ASSERT(ndims <= MAX_NDIMS, ""); }
Dims(int ndims_, hsize_t val) : Dims(ndims_) { data.fill(val); }
template <typename T>
Dims(std::initializer_list<T> data_) : Dims(data_.size())
Dims(std::initializer_list<T> data_) : Dims(int(data_.size()))
{ std::copy(data_.begin(), data_.end(), data.begin()); }
operator hsize_t*() { return data.data(); }
hsize_t &operator[](int i) { return data[i]; }
@@ -97,7 +97,7 @@ private:
hid_t steps = H5I_INVALID_HID;
/// Number of time steps saved.
int nsteps = 0;
unsigned long nsteps = 0;
/// Keep track of the offsets into the data arrays at each time step.
struct Offsets
@@ -123,8 +123,8 @@ private:
class MeshId
{
const Mesh *mesh_ptr = nullptr;
int sequence = -1;
int nodes_sequence = -1;
long sequence = -1;
long nodes_sequence = -1;
bool high_order = true;
int ref = -1;
public:
@@ -187,8 +187,10 @@ private:
/// The rank (number of dimensions) of the dataset is given by @a ndims and
/// its data type is given by @a type.
///
/// The dataset will initially have zero size and unlimited maximum size.
hid_t EnsureDataset(hid_t f, const std::string &name, hid_t type, int ndims);
/// If the dataset does not exist, it will initially have size @a dims.
/// Otherwise, it will be resized to append data of size @a dims, and @a dims
/// will be set to the new total size.
hid_t EnsureDataset(hid_t f, const std::string &name, hid_t type, Dims &dims);
/// @brief Ensure the named group is open, creating it if needed. Set @a
/// group to the ID.
@@ -0,0 +1,156 @@
// 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 __KERSHAW_HPP__
#define __KERSHAW_HPP__
#include "mfem.hpp"
namespace mfem
{
// 1D transformation at the right boundary.
real_t right(const real_t eps, const real_t x)
{
return (x <= 0.5) ? (2-eps) * x : 1 + eps*(x-1);
}
// 1D transformation at the left boundary
real_t left(const real_t eps, const real_t x)
{
return 1-right(eps,1-x);
}
// Transition from a value of "a" for x=0, to a value of "b" for x=1. Smoothness
// is controlled by the parameter "s", taking values 0, 1, or 2.
real_t step(const real_t a, const real_t b, real_t x, int s)
{
if (x <= 0) { return a; }
if (x >= 1) { return b; }
switch (s)
{
case 0:
default:
return a + (b-a) * (x);
case 1: return a + (b-a) * (x*x*(3-2*x));
case 2: return a + (b-a) * (x*x*x*(x*(6*x-15)+10));
}
}
// 3D version of a generalized Kershaw mesh transformation, see D. Kershaw,
// "Differencing of the diffusion equation in Lagrangian hydrodynamic codes",
// JCP, 39:375395, 1981.
//
// The input mesh should be Cartesian nx x ny x nz with nx divisible by 6 and
// ny, nz divisible by 2.
//
// The eps parameters are in (0, 1]. Uniform mesh is recovered for epsy=epsz=1.
void kershaw(const real_t epsy, const real_t epsz, const int smoothness,
const real_t x, const real_t y, const real_t z,
real_t &X, real_t &Y, real_t &Z)
{
X = x;
int layer = x*6.0;
real_t lambda = (x-layer/6.0)*6;
// The x-range is split in 6 layers going from left-to-left, left-to-right,
// right-to-left (2 layers), left-to-right and right-to-right yz-faces.
switch (layer)
{
case 0:
Y = left(epsy, y);
Z = left(epsz, z);
break;
case 1:
case 4:
Y = step(left(epsy, y), right(epsy, y), lambda, smoothness);
Z = step(left(epsz, z), right(epsz, z), lambda, smoothness);
break;
case 2:
Y = step(right(epsy, y), left(epsy, y), lambda/2, smoothness);
Z = step(right(epsz, z), left(epsz, z), lambda/2, smoothness);
break;
case 3:
Y = step(right(epsy, y), left(epsy, y), (1+lambda)/2, smoothness);
Z = step(right(epsz, z), left(epsz, z), (1+lambda)/2, smoothness);
break;
default:
Y = right(epsy, y);
Z = right(epsz, z);
break;
}
}
struct KershawTransformation : VectorCoefficient
{
real_t epsy, epsz;
int dim, s;
KershawTransformation(int dim_, real_t epsy_, real_t epsz_, int s_=0)
: VectorCoefficient(dim_), epsy(epsy_), epsz(epsz_), dim(dim_), s(s_) { }
using VectorCoefficient::Eval;
void Eval(Vector &V, ElementTransformation &T,
const IntegrationPoint &ip) override
{
real_t xyz[3];
Vector transip(xyz, 3);
T.Transform(ip, transip);
if (dim == 1)
{
V[0] = xyz[0]; // no transformation in 1D
}
else if (dim == 2)
{
real_t z=0, zt;
kershaw(epsy, epsz, s, xyz[0], xyz[1], z, V[0], V[1], zt);
}
else // dim == 3
{
kershaw(epsy, epsz, s, xyz[0], xyz[1], xyz[2], V[0], V[1], V[2]);
}
}
};
ParMesh CreateKershawMesh(int nx, int ny, int nz, real_t epsy, real_t epsz)
{
const bool sfc_order = true;
Mesh serial_mesh;
if (nx > 0 && ny == 0 && nz == 0)
{
serial_mesh = Mesh::MakeCartesian1D(nx, 1.0);
}
else if (nx > 0 && ny > 0 && nz == 0)
{
serial_mesh = Mesh::MakeCartesian2D(nx, ny, Element::QUADRILATERAL,
false, 1, 1, sfc_order);
}
else if (nx > 0 && ny > 0 && nz > 0)
{
serial_mesh = Mesh::MakeCartesian3D(nx, ny, nz, Element::HEXAHEDRON,
1, 1, 1, sfc_order);
}
else
{
MFEM_ABORT("Bad grid size");
}
KershawTransformation kt(serial_mesh.Dimension(), epsy, epsz);
serial_mesh.Transform(kt);
return ParMesh(MPI_COMM_WORLD, serial_mesh);
}
ParMesh CreateKershawMesh(int n, real_t eps)
{
return CreateKershawMesh(n, n, n, eps, eps);
}
}
#endif
@@ -0,0 +1,77 @@
# 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.
# Use the MFEM build directory
MFEM_DIR ?= ../../..
MFEM_BUILD_DIR ?= ../../..
MFEM_INSTALL_DIR ?= ../../../mfem
SRC = $(if $(MFEM_DIR:../../..=),$(MFEM_DIR)/miniapps/benchmarks/ceed-solver-bps/,)
CONFIG_MK = $(or $(wildcard $(MFEM_BUILD_DIR)/config/config.mk),\
$(wildcard $(MFEM_INSTALL_DIR)/share/mfem/config.mk))
MFEM_LIB_FILE = mfem_is_not_built
-include $(CONFIG_MK)
SEQ_MINIAPPS =
PAR_MINIAPPS = solver-bp
ifeq ($(MFEM_USE_MPI),NO)
MINIAPPS = $(SEQ_MINIAPPS)
else
MINIAPPS = $(PAR_MINIAPPS) $(SEQ_MINIAPPS)
endif
EXTRA_SOURCES = preconditioners.cpp
EXTRA_HEADERS = kershaw.hpp rhs.hpp preconditioners.hpp
EXTRA_OBJECTS = $(EXTRA_SOURCES:.cpp=.o)
.SUFFIXES:
.SUFFIXES: .o .cpp .mk
.PHONY: all clean clean-build clean-exec
.PRECIOUS: %.o
# Remove built-in rules
%: %.cpp
%.o: %.cpp
all: $(MINIAPPS)
# Rule for building solver-bp
solver-bp: solver-bp.o $(addprefix $(SRC),$(EXTRA_HEADERS)) \
$(EXTRA_OBJECTS) $(MFEM_LIB_FILE) $(CONFIG_MK)
$(MFEM_CXX) $(MFEM_LINK_FLAGS) $< -o $@ $(EXTRA_OBJECTS) $(MFEM_LIBS)
# Rules for compiling *.o files
# -I$(MFEM_DIR) is needed for "general/forall.hpp" for out-of-source builds
%.o: $(SRC)%.cpp $(wildcard $(SRC)%.hpp) $(CONFIG_MK)
$(MFEM_CXX) $(MFEM_FLAGS) -I$(MFEM_DIR) -c $(<) -o $(@)
MFEM_TESTS = MINIAPPS
include $(MFEM_TEST_MK)
# Testing: Specific execution options
RUN_MPI = $(MFEM_MPIEXEC) $(MFEM_MPIEXEC_NP) $(MFEM_MPI_NP)
solver-bp-test-par: solver-bp
@$(call mfem-test,$<, $(RUN_MPI), CEED Solver BP,,SKIP-NO-VIS)
# Testing: "test" target and mfem-test* variables are defined in config/test.mk
# Generate an error message if the MFEM library is not built and exit
$(MFEM_LIB_FILE):
$(error The MFEM library is not built)
clean: clean-build clean-exec
clean-build:
rm -f *.o *~ $(SEQ_MINIAPPS) $(PAR_MINIAPPS) $(EXTRA_OBJECTS)
rm -rf *.dSYM *.TVD.*breakpoints
clean-exec:
@true
@@ -0,0 +1,129 @@
import csv
from pylab import *
fields=[
['code ID', 'str'],
['preconditioner ID', 'str'],
['machine ID', 'str'],
['number of nodes', 'int'],
['number of MPI ranks', 'int'],
['n_x', 'int'], ['n_y', 'int'], ['n_z', 'int'],
['solution polynomial degree', 'int'],
['number of 1D quadrature points', 'float'],
['eps_y', 'float'], ['eps_z', 'float'],
['ndofs (including Dirichlet boundary)', 'int'],
['niter', 'int'],
['initial residual', 'float'], ['final residual', 'float'],
['error', 'float'],
['t_setup (preconditioner setup)', 'float'],
['t_solve (total iter time)', 'float']]
fields_dict=dict(fields)
def convert(obj, type_str):
ctor=getattr(__builtins__, type_str)
return ctor(obj)
input_csv='run-001.csv'
print('reading %s ...' % input_csv)
runs = []
with open(input_csv) as csvfile:
csvreader = csv.DictReader(csvfile, fieldnames=[f[0] for f in fields],
restkey='additional notes')
for row in csvreader:
for i in fields_dict:
row[i]=convert(row[i], fields_dict[i])
runs.append(row)
orders=[r['solution polynomial degree'] for r in runs]
orders=unique(orders) # numpy function
# orders=[1]
nps=[r['number of MPI ranks'] for r in runs]
nps=unique(nps)
if len(nps) > 1:
print('multiple num-ranks present: %s' % nps)
quit()
np=nps[0]
# plot fx (or fx/fn) vs fy, (or fx/fn/fy, etc) for all orders
fn='number of MPI ranks'
fx='ndofs (including Dirichlet boundary)'
fy='t_solve (total iter time)'
# fy='niter'
# fy='error'
fz='niter'
figure()
for p in orders:
rr=[r for r in runs if (r['solution polynomial degree']==p and
r['niter']>0)]
if len(rr)==0:
continue
# pl_data=asarray([[r[fx],r[fx]/r[fy]] for r in rr])
# pl_data=asarray([[r[fx],r[fy]] for r in rr])
# pl_data=asarray([[r[fx],r[fx]/(r[fy]/r[fz])] for r in rr])
pl_data=asarray([[r[fx]/r[fn],r[fx]/r[fn]/r[fy]] for r in rr])
# pl_data=asarray([[r[fx]/r[fn],r[fy]] for r in rr])
plot(pl_data[:,0],pl_data[:,1], 'o-', label='p=%i'%p)
rnx=asarray([r['n_x'] for r in rr])
rerr=asarray([r['error'] for r in rr])
rate=arange(1.0,len(rnx))
for l in range(1,len(rnx)):
rate[l-1]=log(rerr[l-1]/rerr[l])/log(rnx[l]/rnx[l-1])
set_printoptions(formatter={'float':"{:6.2f}".format},linewidth=120)
print(f"p={p} rate:{rate}")
# xscale('log', basex=10) # older matplotlib
xscale('log', base=10)
# xlim(4e4,3.1e7)
xlim(4e4,5e6)
# yscale('log', basey=10) # older matplotlib
# yscale('log', base=10)
# ylim(1e5,2e7)
# ylim(0,2.55e7)
# ylim(0,3.25e7)
# ylim(0,5e6)
ymin,ymax=ylim()
ylim(0,ymax)
# ylim(1e-2,2e1)
# ylim(3e-3,6e-2)
# xlabel(fx)
# xlabel('# DOFs')
xlabel('# DOFs / # Ranks')
# ylabel(fx + ' / ' + fy)
# ylabel(fy)
# ylabel('# DOFs / t_solve')
ylabel('# DOFs / # Ranks / t_solve')
# ylabel('t_solve')
# ylabel('# DOFs / (t_solve / # Iter)')
# ylabel('# Iter')
# ylabel('L2 error')
# ylabel('Grad L2 error')
grid('on', color='gray', ls='dotted')
grid('on', axis='both', which='minor', color='gray', ls='dotted')
legend(ncol=2, loc='best')
ranks='1 MPI rank'
if np > 1:
ranks='%s MPI ranks' % (np,np)
hypre='hypre CPU'
# hypre='hypre HIP'
# prec=hypre+', p-MG(1,1)'
prec=hypre+', LOR'
# prec='Jacobi'
# eps='1'
eps='0.3'
mfem='MFEM CPU'
# mfem='MFEM HIP'
title(mfem + ', ' + prec + ', $\\varepsilon = ' + eps + '$, ' + ranks)
if 1: # write .pdf file?
pdf_file='plot.pdf'
print('saving figure --> %s'%pdf_file)
savefig(pdf_file, format='pdf', bbox_inches='tight')
if 0: # show the figures?
print('\nshowing figures ...')
show()
@@ -0,0 +1,241 @@
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "preconditioners.hpp"
namespace mfem
{
AssemblyLevel GetCoarseAssemblyLevel(SolverConfig config)
{
switch (config.type)
{
case SolverConfig::JACOBI:
case SolverConfig::LOR_HYPRE:
case SolverConfig::LOR_AMGX:
return AssemblyLevel::PARTIAL;
default:
return AssemblyLevel::FULL;
// return AssemblyLevel::LEGACYFULL;
}
}
bool NeedsLOR(SolverConfig config)
{
switch (config.type)
{
case SolverConfig::LOR_HYPRE:
case SolverConfig::LOR_AMGX:
return true;
default:
return false;
}
}
DiffusionMultigrid::DiffusionMultigrid(
ParFiniteElementSpaceHierarchy& hierarchy,
Coefficient &coeff_,
Array<int>& ess_bdr,
SolverConfig coarse_solver_config,
int q1d_inc_,
int smoothers_cheby_order_)
: GeometricMultigrid(hierarchy, ess_bdr),
coeff(coeff_),
q1d_inc(q1d_inc_),
irs(0, Quadrature1D::GaussLegendre),
smoothers_cheby_order(smoothers_cheby_order_)
{
ConstructCoarseOperatorAndSolver(
coarse_solver_config, hierarchy.GetFESpaceAtLevel(0), ess_bdr);
int nlevels = hierarchy.GetNumLevels();
for (int i=1; i<nlevels; ++i)
{
ConstructOperatorAndSmoother(hierarchy.GetFESpaceAtLevel(i), ess_bdr);
}
}
void DiffusionMultigrid::ConstructBilinearForm(
ParFiniteElementSpace &fespace, Array<int> &ess_bdr, AssemblyLevel asm_lvl)
{
ParBilinearForm *form = new ParBilinearForm(&fespace);
form->SetAssemblyLevel(asm_lvl);
DiffusionIntegrator *integ = new DiffusionIntegrator(coeff);
int p = fespace.GetOrder(0);
int dim = fespace.GetMesh()->Dimension();
// Integration rule for high-order problem: (p+1+q1d_inc)^d Gauss-Legendre
// points
int int_order = 2*(p+1+q1d_inc) - 1;
Geometry::Type geom = fespace.GetMesh()->GetElementBaseGeometry(0);
const IntegrationRule &ir = irs.Get(geom, int_order);
MFEM_VERIFY(ir.Size() == pow(p+1+q1d_inc,dim), "Wrong quadrature");
integ->SetIntegrationRule(ir);
form->AddDomainIntegrator(integ);
form->Assemble();
bfs.Append(form);
essentialTrueDofs.Append(new Array<int>());
fespace.GetEssentialTrueDofs(ess_bdr, *essentialTrueDofs.Last());
}
void DiffusionMultigrid::ConstructOperatorAndSmoother(
ParFiniteElementSpace& fespace, Array<int>& ess_bdr)
{
ConstructBilinearForm(fespace, ess_bdr, AssemblyLevel::PARTIAL);
OperatorPtr opr;
bfs.Last()->FormSystemMatrix(*essentialTrueDofs.Last(), opr);
opr.SetOperatorOwner(false);
Vector diag(fespace.GetTrueVSize());
bfs.Last()->AssembleDiagonal(diag);
Solver* smoother = new OperatorChebyshevSmoother(
*opr, diag, *essentialTrueDofs.Last(), smoothers_cheby_order,
fespace.GetParMesh()->GetComm());
AddLevel(opr.Ptr(), smoother, true, true);
}
void DiffusionMultigrid::ConstructCoarseOperatorAndSolver(
SolverConfig config, ParFiniteElementSpace& fespace, Array<int>& ess_bdr)
{
ConstructBilinearForm(fespace, ess_bdr, GetCoarseAssemblyLevel(config));
ParBilinearForm &a = static_cast<ParBilinearForm&>(*bfs.Last());
Array<int> &ess_dofs = *essentialTrueDofs.Last();
a.FormSystemMatrix(ess_dofs, A_coarse);
OperatorPtr A_prec;
if (NeedsLOR(config))
{
if (Mpi::Root())
{
std::cout << "Forming LOR discretization..." << std::endl;
}
lor.reset(new ParLORDiscretization(a, ess_dofs));
A_prec = lor->GetAssembledSystem();
if (Mpi::Root())
{
std::cout << "Forming LOR discretization... Done." << std::endl;
}
}
else
{
A_prec = A_coarse;
}
if (Mpi::Root()) { std::cout << "Forming preconditioner... " << std::endl; }
switch (config.type)
{
case SolverConfig::JACOBI:
coarse_precond.reset(new OperatorJacobiSmoother(a, ess_dofs));
break;
case SolverConfig::FA_HYPRE:
case SolverConfig::LOR_HYPRE:
{
HypreBoomerAMG *amg = new HypreBoomerAMG(*A_prec.As<HypreParMatrix>());
amg->SetPrintLevel(1);
Vector b(amg->Height());
Vector x(amg->Height());
b = 0.0;
x = 0.0;
amg->Setup(b, x); // Force setup;
coarse_precond.reset(amg);
break;
}
#ifdef MFEM_USE_AMGX
case SolverConfig::FA_AMGX:
case SolverConfig::LOR_AMGX:
{
AmgXSolver *amg = new AmgXSolver;
amg->ReadParameters(config.amgx_config_file, AmgXSolver::EXTERNAL);
amg->InitExclusiveGPU(MPI_COMM_WORLD);
amg->SetOperator(*A_prec.As<HypreParMatrix>());
coarse_precond.reset(amg);
break;
}
#endif
default:
MFEM_ABORT("Not available.")
}
if (config.inner_sli) // coarse_solver = SLI
{
SLISolver *sli = new SLISolver(fespace.GetComm());
sli->SetPrintLevel(0);
sli->SetAbsTol(0.0);
sli->SetRelTol(0.0);
sli->SetMaxIter(config.inner_sli_iter);
sli->SetOperator(*A_coarse);
sli->SetPreconditioner(*coarse_precond);
coarse_solver.reset(sli);
}
else if (config.inner_cg)
{
CGSolver *cg = new CGSolver(MPI_COMM_WORLD);
cg->SetPrintLevel(2);
cg->SetMaxIter(100);
cg->SetRelTol(1e-8);
cg->SetAbsTol(0.0);
cg->SetOperator(*A_coarse);
cg->SetPreconditioner(*coarse_precond);
cg->iterative_mode = false;
coarse_solver.reset(cg);
}
else
{
coarse_solver = coarse_precond;
}
if (Mpi::Root())
{
std::cout << "Forming preconditioner... Done.\n" << std::endl;
}
if (config.coarse_smooth)
{
Vector diag(fespace.GetTrueVSize());
a.AssembleDiagonal(diag);
Solver *smoother = new OperatorChebyshevSmoother(
*A_coarse, diag, ess_dofs, smoothers_cheby_order,
fespace.GetParMesh()->GetComm());
AddLevel(A_coarse.Ptr(), smoother, false, true);
AddCoarseSolver(coarse_solver.get(), false);
}
else
{
AddLevel(A_coarse.Ptr(), coarse_solver.get(), false, false);
}
}
void DiffusionMultigrid::SetSmoothersChebyshevOrder(int new_cheby_order)
{
for (int level = MultigridBase::coarse_solver ? 0 : 1;
level < NumLevels(); level++)
{
OperatorChebyshevSmoother *cheby =
dynamic_cast<OperatorChebyshevSmoother*>(GetSmootherAtLevel(level));
if (cheby) { cheby->SetOrder(new_cheby_order); }
}
smoothers_cheby_order = new_cheby_order;
}
void DiffusionMultigrid::SetInnerSLINumIter(int inner_sli_iter)
{
SLISolver *sli = dynamic_cast<SLISolver*>(coarse_solver.get());
if (sli) { sli->SetMaxIter(inner_sli_iter); }
}
} // namespace mfem
@@ -0,0 +1,100 @@
// 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 __SOLVER_BP_HPP__
#define __SOLVER_BP_HPP__
#include "mfem.hpp"
#include <memory>
namespace mfem
{
struct SolverConfig
{
enum SolverType
{
JACOBI = 0,
FA_HYPRE = 1,
LOR_HYPRE = 2,
FA_AMGX = 3,
LOR_AMGX = 4
};
SolverType type;
const char *amgx_config_file = "amgx/amgx.json";
bool inner_cg = false; //<-- use inner CG iteration for coarse solver
bool inner_sli = false; //<-- use inner SLI iteration for coarse solver
int inner_sli_iter = 1; //<- number of iterations for the inner SLI solver
bool coarse_smooth = false; //<- enable level 0 smoothing
SolverConfig(SolverType type_) : type(type_) { }
void Print()
{
mfem::out << "Coarse solver: ";
switch (type)
{
case JACOBI: mfem::out << "Jacobi"; break;
case FA_HYPRE: mfem::out << "Hypre (full)"; break;
case LOR_HYPRE: mfem::out << "Hypre (LOR)"; break;
case FA_AMGX: mfem::out << "AmgX (full)"; break;
case LOR_AMGX: mfem::out << "AmgX (LOR)"; break;
}
mfem::out << std::endl;
// If inner_sli is true inner_cg is not used, see
// DiffusionMultigrid::ConstructCoarseOperatorAndSolver():
if (inner_sli) { inner_cg = false; }
mfem::out << "Inner CG: "
<< (inner_cg ? "On" : "Off")
<< std::endl;
mfem::out << "Inner SLI: " << (inner_sli ? "On" : "Off") << '\n';
mfem::out << "Coarse smooth: " << (coarse_smooth ? "On" : "Off") << '\n';
}
};
struct DiffusionMultigrid : GeometricMultigrid
{
Coefficient &coeff;
int q1d_inc;
IntegrationRules irs;
std::unique_ptr<ParLORDiscretization> lor;
OperatorPtr A_coarse;
std::shared_ptr<Solver> coarse_solver, coarse_precond;
int smoothers_cheby_order;
DiffusionMultigrid(
ParFiniteElementSpaceHierarchy& hierarchy,
Coefficient &coeff_,
Array<int>& ess_bdr,
SolverConfig coarse_solver_config,
int q1d_inc_ = 0,
int smoothers_cheby_order_ = 1);
void ConstructBilinearForm(
ParFiniteElementSpace &fespace,
Array<int> &ess_bdr,
AssemblyLevel asm_lvl);
void ConstructOperatorAndSmoother(
ParFiniteElementSpace &fespace,
Array<int> &ess_bdr);
void ConstructCoarseOperatorAndSolver(
SolverConfig config,
ParFiniteElementSpace &fespace,
Array<int> &ess_bdr);
void SetSmoothersChebyshevOrder(int new_cheby_order);
void SetInnerSLINumIter(int inner_sli_iter);
};
} // namespace mfem
#endif
+334
View File
@@ -0,0 +1,334 @@
// 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 __RHS_HPP__
#define __RHS_HPP__
#include "mfem.hpp"
#include "general/forall.hpp"
// 0 - Solution described in the CEED MS 36 report
// 1 - Solution from the "ecp_special_2023" paper (option with cosine):
// w(n,x) = \sum_{k=0}^n a^k \cos(b^k \pi (x - 1/2)), x \in [0,1]
// with a = 1/2, b = 3.
// 2 - Solution from the "ecp_special_2023" paper (option with sine):
// w(n,x) = \sum_{k=0}^n a^k \sin(b^k \pi x), x \in [0,1]
// with a = 1/2, b = 3.
#define CEED_SOLVER_BP_SOLUTION_OPTION 1
namespace mfem
{
constexpr real_t pi = real_t(M_PI);
#if (CEED_SOLVER_BP_SOLUTION_OPTION == 0)
MFEM_HOST_DEVICE inline
real_t s(int k, real_t x)
{
return sin(2*pi*k*x);
}
MFEM_HOST_DEVICE inline
real_t u(int k, real_t x)
{
real_t skx = s(k,x);
real_t sgn = skx < 0 ? -1.0 : 1.0;
return exp(-1/skx/skx)*sgn;
}
MFEM_HOST_DEVICE inline
real_t u_xx(int k, real_t x)
{
real_t kpix = k*pi*x;
real_t csc_2kpix = 1.0/sin(2*kpix);
real_t sgn = sin(2*kpix) < 0 ? -1.0 : 1.0;
return 2*exp(-csc_2kpix*csc_2kpix)*k*k*pi*pi
*(1 + 6*cos(4*kpix) + cos(8*kpix))
*pow(csc_2kpix,6)
*sgn;
}
MFEM_HOST_DEVICE inline
real_t w(int n, real_t x)
{
real_t wkx = 0.0;
real_t xx = 2*x - 1; // transform from [0,1] to [-1,1]
for (int j=0; j<n; ++j)
{
int k = pow(3, j);
wkx += u(k, xx);
}
return wkx;
}
MFEM_HOST_DEVICE inline
real_t w_xx(int n, real_t x)
{
real_t wkx = 0.0;
real_t xx = 2*x - 1; // transform from [0,1] to [-1,1]
if (xx == 0.0) { return 0.0; }
for (int j=0; j<n; ++j)
{
int k = pow(3, j);
wkx += 4*u_xx(k, xx); // factor of four from reference interval transf.
}
return wkx;
}
#elif (CEED_SOLVER_BP_SOLUTION_OPTION == 1)
MFEM_HOST_DEVICE inline
real_t w(int n, real_t x)
{
// w(n,x) = \sum_{k=0}^n a^k \cos(b^k \pi (x - 1/2))
const real_t a = 0.5, b = 3.;
real_t ak = 1.0;
real_t xk = pi * (x - 0.5);
real_t w_ = ak * cos(xk);
for (int k = 1; k <= n; k++)
{
ak *= a;
xk *= b;
w_ += ak * cos(xk);
}
return w_;
}
MFEM_HOST_DEVICE inline
real_t w_x(int n, real_t x)
{
// w'(n,x) = -\pi \sum_{k=0}^n a^k b^k \sin(b^k \pi (x - 1/2))
const real_t a = 0.5, b = 3.;
real_t ck = -pi;
real_t xk = pi * (x - 0.5);
real_t w_x_ = ck * sin(xk);
for (int k = 1; k <= n; k++)
{
ck *= a * b;
xk *= b;
w_x_ += ck * sin(xk);
}
return w_x_;
}
MFEM_HOST_DEVICE inline
real_t w_xx(int n, real_t x)
{
// w''(n,x) = -\pi^2 \sum_{k=0}^n a^k b^{2 k} \cos(b^k \pi (x - 1/2))
const real_t a = 0.5, b = 3.;
real_t ck = -(pi * pi);
real_t xk = pi * (x - 0.5);
real_t w_xx_ = ck * cos(xk);
for (int k = 1; k <= n; k++)
{
ck *= a * b*b;
xk *= b;
w_xx_ += ck * cos(xk);
}
return w_xx_;
}
#elif (CEED_SOLVER_BP_SOLUTION_OPTION == 2)
MFEM_HOST_DEVICE inline
real_t w(int n, real_t x)
{
// w(n,x) = \sum_{k=0}^n a^k \sin(b^k \pi x)
const real_t a = 0.5, b = 3.;
real_t ak = 1.0;
real_t xk = pi * x;
real_t w_ = ak * sin(xk);
for (int k = 1; k <= n; k++)
{
ak *= a;
xk *= b;
w_ += ak * sin(xk);
}
return w_;
}
MFEM_HOST_DEVICE inline
real_t w_xx(int n, real_t x)
{
// w''(n,x) = -\pi^2 \sum_{k=0}^n a^k b^{2 k} \sin(b^k \pi x)
const real_t a = 0.5, b = 3.;
real_t ck = -(pi * pi);
real_t xk = pi * x;
real_t w_xx_ = ck * sin(xk);
for (int k = 1; k <= n; k++)
{
ck *= a * b*b;
xk *= b;
w_xx_ += ck * sin(xk);
}
return w_xx_;
}
#endif // CEED_SOLVER_BP_SOLUTION_OPTION
struct ExactSolution : Coefficient
{
int dim, n;
ExactSolution(int dim_, int n_=0) : dim(dim_), n(n_) { }
using Coefficient::Eval;
real_t Eval(ElementTransformation &T, const IntegrationPoint &ip) override
{
real_t xyz[3];
Vector transip(xyz, 3);
T.Transform(ip, transip);
if (dim == 1)
{
return w(n, xyz[0]);
}
if (dim == 2)
{
return w(n, xyz[0])*w(n, xyz[1]);
}
else // dim == 3
{
return w(n, xyz[0])*w(n, xyz[1])*w(n, xyz[2]);
}
}
};
struct ExactGrad : VectorCoefficient
{
int dim, n;
ExactGrad(int dim_, int n_)
: VectorCoefficient(dim_), dim(dim_), n(n_) { }
using VectorCoefficient::Eval;
void Eval(Vector &V, ElementTransformation &T,
const IntegrationPoint &ip) override
{
real_t xyz[3];
Vector transip(xyz, 3);
T.Transform(ip, transip);
V.SetSize(dim);
if (dim == 1)
{
V(0) = w_x(n, xyz[0]);
}
if (dim == 2)
{
V(0) = w_x(n, xyz[0])* w(n, xyz[1]);
V(1) = w(n, xyz[0])*w_x(n, xyz[1]);
}
else // dim == 3
{
const real_t wnx = w(n, xyz[0]);
const real_t wny = w(n, xyz[1]);
const real_t wnz = w(n, xyz[2]);
V(0) = w_x(n, xyz[0])*wny *wnz;
V(1) = wnx *w_x(n, xyz[1])*wnz;
V(2) = wnx *wny *w_x(n, xyz[2]);
}
}
};
MFEM_HOST_DEVICE inline
real_t rhs_1d(const int n, const real_t *xyz)
{
return -w_xx(n, xyz[0]);
}
MFEM_HOST_DEVICE inline
real_t rhs_2d(const int n, const real_t *xyz)
{
return -w_xx(n, xyz[0])*w(n, xyz[1]) - w(n, xyz[0])*w_xx(n, xyz[1]);
}
MFEM_HOST_DEVICE inline
real_t rhs_3d(const int n, const real_t *xyz)
{
return -w_xx(n, xyz[0])*w(n, xyz[1])*w(n, xyz[2])
- w(n, xyz[0])*w_xx(n, xyz[1])*w(n, xyz[2])
- w(n, xyz[0])*w(n, xyz[1])*w_xx(n, xyz[2]);
}
using RHSFunctionType = real_t(*)(int dim, const real_t *xyz);
template <RHSFunctionType F>
void ProjectRHS_(int n, QuadratureFunction &qf)
{
QuadratureSpaceBase &qs = *qf.GetSpace();
Mesh &mesh = *qs.GetMesh();
const IntegrationRule &ir = qs.GetIntRule(0);
auto *geom = mesh.GetGeometricFactors(ir, GeometricFactors::COORDINATES);
const int dim = qs.GetMesh()->Dimension();
const int nq = ir.Size();
const int N = qf.Size();
const real_t *d_x = geom->X.Read();
real_t *d_q = qf.Write();
mfem::forall(N, [=] MFEM_HOST_DEVICE (int ii)
{
const int i = ii / nq;
const int j = ii % nq;
real_t xvec[3];
for (int d = 0; d < dim; ++d)
{
xvec[d] = d_x[j + d*nq + i*dim*nq];
}
d_q[ii] = F(n, xvec);
});
}
void ProjectRHS(int n, QuadratureFunction &qf)
{
const int dim = qf.GetSpace()->GetMesh()->Dimension();
switch (dim)
{
case 1: ProjectRHS_<rhs_1d>(n, qf); break;
case 2: ProjectRHS_<rhs_2d>(n, qf); break;
case 3: ProjectRHS_<rhs_3d>(n, qf); break;
default: MFEM_ABORT("Unsupported dimension.");
}
}
struct RHS : Coefficient
{
int dim, n;
RHS(int dim_, int n_=0) : dim(dim_), n(n_) { }
using Coefficient::Eval;
real_t Eval(ElementTransformation &T, const IntegrationPoint &ip) override
{
real_t xyz[3];
Vector transip(xyz, 3);
T.Transform(ip, transip);
if (dim == 1)
{
return -w_xx(n, xyz[0]);
}
if (dim == 2)
{
return -w_xx(n, xyz[0])*w(n, xyz[1]) - w(n, xyz[0])*w_xx(n, xyz[1]);
}
else // dim == 3
{
return -w_xx(n, xyz[0])*w(n, xyz[1])*w(n, xyz[2])
- w(n, xyz[0])*w_xx(n, xyz[1])*w(n, xyz[2])
- w(n, xyz[0])*w(n, xyz[1])*w_xx(n, xyz[2]);
}
}
void Project(QuadratureFunction &qf) override
{
ProjectRHS(n,qf);
}
};
}
#endif
+124
View File
@@ -0,0 +1,124 @@
bsep="============================================================"
ssep="----------------------------------------"
# Enable GPU-aware MPI:
# gpu_aware_mpi_env_cmd="env MPICH_GPU_SUPPORT_ENABLED=1"
# gpu_aware_mpi="-g"
# number of nodes, number of MPI ranks:
nnodes=1
np=1
# dev="-d hip ${gpu_aware_mpi}"
eps="0.3"
# mpirun_np="mpirun -np"
mpirun_np="env MFEM_REPORT_KERNELS=1 mpirun -np"
# mpirun_np="${gpu_aware_mpi_env_cmd} flux run --exclusive -N ${nnodes} -n"
# dry run:
# mpirun_np="echo ${mpirun_np}"
# p-MG/LOR + FA-hypre, or diagonal (Jacobi smoother)
# prec_type: "p-mg", "lor", or "diag"
prec_type="lor"
p_mg_opts="-cb 1"
# p_mg_opts="-cb 5 -sli -sli-it 6"
# lor_opts="-cls -cb 5 -sli -sli-it 6"
# lor_opts="-cls -cb 2 -sli -sli-it 2"
lor_opts="-cb 2 -sli -sli-it 2"
mg_set=("1" "1 2" "1 3" "1 2 4" "1 3 5" "1 3 6")
# mg_set=("1 2")
# p=7 and p=8 fail at the moment: "1 3 5 7" "1 3 5 8"
# per-rank limits on the number of LOR elements for different p, in 2^20 units:
# (bigger sizes run out of GPU memory, at least with LOR prec.)
lor_ne_max_all=(4 4 4 4 4 4 4 4)
# lor_ne_max_all=(18 22 24 24 27 24 8 8) # MI250X
((lor_ne_min = 40*2**10))
((np_ = np))
((mm = 1))
while ((np_ > 8)); do
((mm++))
((np_ = (np_-1)/8+1))
done
((mf = 2**mm))
((mff = 3*mf))
echo " *** mf = ${mf}, mff = ${mff}"
for mg in "${mg_set[@]}"; do
echo "${bsep}"
p=(${mg})
# p=${p[-1]}
p="${p[$((${#p[@]}-1))]}"
lor_ne_max="${lor_ne_max_all[$((p-1))]}"
((lor_ne_max *= 2**20))
# n_max = floor(lor_ne_max^(1/3))
n_max=$(echo "a=e((1/3)*l(${np}*${lor_ne_max}));scale=0;a/1" | bc -l)
# for np*lor_ne_max=256^3, the above gives 255, so we adjust the result:
while (( (n_max+1)**3 <= np*lor_ne_max )); do
((n_max++))
done
echo " *** p = ${p}, n_max = ${n_max}"
if (( n_max**3 > np*lor_ne_max )); then
echo "error: n_max^3 > np*lor_ne_max"
exit 1
fi
echo "${bsep}"
nx_set=()
for ((nx = (n_max/p/mff)*mff, last_nx = 2*nx; nx >= 6; nx -= mff)); do
((last_ne = last_nx**3))
((ne = nx**3))
((lor_ne = (p*nx)**3))
if ((np*lor_ne_min > lor_ne)); then break; fi
if ((last_ne < ne*4/3)); then continue; fi
nx_set=("${nx}" "${nx_set[@]}")
((ndofs = (p*nx+1)**3))
((rhs_n=0))
while ((2*3**(rhs_n+1) <= p*nx)); do
((rhs_n++))
done
# 2*3**rhs_n <= p*nx < 2*3**(rhs_n+1)
printf "np = ${np}, p = ${p}, nx = ${nx}, ndofs = ${ndofs}"
# rhs_n for eps = 1:
# printf ", rhs_n = ${rhs_n}"
printf "\n"
((last_nx = nx))
done
for nx in "${nx_set[@]}"; do
# break;
if ((nx % mf != 0)); then
echo " *** internal error!"
exit 1
fi
((rp = mm))
((nx /= mf))
if false; then
# 0, 1, or 2 additional parallel refinements for 1, 8, or 64 ranks
((np_=np))
while ((np_%8 == 0)); do
((np_=np_/8))
((rp++))
done
fi
((ndofs = (p*nx*2**rp+1)**3))
echo "${bsep}"
echo "np = ${np}, p = ${p}, ndofs = ${ndofs}"
if [[ "$prec_type" == "p-mg" ]]; then
# p-MG
printf "$mpirun_np ${np} ./solver-bp ${dev}"
printf " -ey ${eps} -mg \"${mg}\" -cs 1 ${p_mg_opts}"
printf " -nx ${nx} -rp ${rp}\n"
echo "${ssep}"
$mpirun_np "${np}" ./solver-bp ${dev} \
-ey ${eps} -mg "${mg}" -cs 1 ${p_mg_opts} -nx "${nx}" -rp "${rp}"
elif [[ "$prec_type" == "lor" ]]; then
# LOR
printf "$mpirun_np ${np} ./solver-bp ${dev}"
printf " -ey ${eps} -mg \"${p}\" -cs 2 ${lor_opts}"
printf " -nx ${nx} -rp ${rp}\n"
echo "${ssep}"
$mpirun_np "${np}" ./solver-bp ${dev} \
-ey ${eps} -mg "${p}" -cs 2 ${lor_opts} -nx "${nx}" -rp "${rp}"
elif [[ "$prec_type" == "diag" ]]; then
# Diag
printf "$mpirun_np ${np} ./solver-bp ${dev}"
printf " -ey ${eps} -mg \"${p}\" -cs 0 -nx ${nx} -rp ${rp}\n"
echo "${ssep}"
$mpirun_np "${np}" ./solver-bp ${dev} \
-ey ${eps} -mg "${p}" -cs 0 -nx "${nx}" -rp "${rp}"
fi
done
done
@@ -0,0 +1,811 @@
// 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.
// --------------------------------------------------------------
// MFEM Implementation of the CEED Solver Bake-off Problems
// --------------------------------------------------------------
//
// Run a suite of benchmarks and view the results:
//
// 1. Edit 'run.sh' to adjust machine and size parameters.
// 2. Run 'run.sh' redirecting output to a file, e.g.:
// bash run.sh > run-001.out
// 3. Extract the CSV output:
// sed -n -e 's/^= CSV:\(.*\)$/\1/p' run-001.out > run-001.csv
// 3. Edit the script 'plot_csv.py' set the name of your CSV file and,
// optionally, customize the plot it generates.
// 4. Process the CSV file:
// python3 plot_csv.py
//
// Sample runs:
//
// solver-bp -nx 6
// solver-bp -nx 6 -mg "1 2 3"
// solver-bp -nx 6 -mg "1 r r 2 3"
// solver-bp -nx 6 -rp 2 -mg 3 -cs 1
// solver-bp -nx 6 -rp 2 -mg 3 -cs 2
//
// Device sample runs:
//
// solver-bp -d cuda -nx 6 -mg "1 r r 2 3" -cs 0
// solver-bp -d cuda -nx 6 -rp 2 -mg 3 -cs 3
// solver-bp -d cuda -nx 6 -rp 2 -mg 3 -cs 4
//
#include "mfem.hpp"
#include "kershaw.hpp"
#include "rhs.hpp"
#include "preconditioners.hpp"
#include <regex>
#include <fem/integ/bilininteg_diffusion_kernels.hpp>
using namespace std;
using namespace mfem;
struct MGRefinement
{
enum Type { P_MG, H_MG };
const Type type;
const int order;
MGRefinement(Type type_, int order_) : type(type_), order(order_) { }
static MGRefinement p(int order_) { return MGRefinement(P_MG, order_); }
static MGRefinement h() { return MGRefinement(H_MG, 0); }
};
struct CGMonitor : IterativeSolverMonitor
{
const real_t tol;
real_t initial_nrm, final_nrm, saved_nrm;
int final_it, saved_it;
CGMonitor(real_t tol_) : tol(tol_) { }
void MonitorResidual(int it, real_t norm, const Vector &r, bool final)
override
{
MFEM_CONTRACT_VAR(norm);
// Avoid recomputing the norm if it was already computed -- this method
// is called two times for the final iteration: once with final = false
// (possibly triggering the monitor convergence criterion) and a second
// time with final = true.
bool init_call = (it == 0 && !final);
const real_t nrm =
(!init_call && it == saved_it) ?
saved_nrm :
sqrt(InnerProduct(iter_solver->GetComm(), r, r));
if ((it == 0 || final) && Mpi::Root())
{
mfem::out << (final ? "Final" : " Initial")
<< " l2 norm of residual: " << nrm << '\n';
}
if (init_call)
{
initial_nrm = nrm;
converged = false;
final_nrm = -1.0;
final_it = -1;
}
saved_nrm = nrm;
saved_it = it;
// Check for monitor-triggered convergence
converged = (nrm <= tol*initial_nrm);
if (final)
{
final_nrm = nrm;
final_it = it;
}
if (final && Mpi::Root())
{
mfem::out << "Final relative l2 residual: ";
if (initial_nrm == 0.0)
{
mfem::out << "N/A (initial norm is 0)" << endl;
}
else
{
const real_t rel_nrm = nrm/initial_nrm;
mfem::out << rel_nrm << '\n';
mfem::out << "Average l2 reduction factor: ";
if (it == 0) { mfem::out << "N/A"; }
else { mfem::out << pow(rel_nrm, 1.0/it); }
mfem::out << " [" << it << " iterations]" << endl;
}
}
}
};
void report_hypre_gpu_status(bool gpu_aware_mpi_requested);
void report_env_vars();
real_t verify_ess_bdr(const Vector &b, const Vector &x,
const Array<int> &ess_tdof_list);
template <typename T> void PrintPair(const string &name, T val)
{
cout << setw(14) << left << name << val << '\n';
}
int main(int argc, char *argv[])
{
DiffusionIntegrator::AddSpecialization<3,3,3>();
DiffusionIntegrator::AddSpecialization<3,4,4>();
DiffusionIntegrator::AddSpecialization<3,5,5>();
DiffusionIntegrator::AddSpecialization<3,6,6>();
Mpi::Init(argc, argv);
Hypre::Init();
const char *device_config = "cpu";
bool gpu_aware_mpi = false;
int nx = 6, ny = -1, nz = -1;
int rhs_n = -1;
const char *mg_spec = "1";
int q1d_inc = 0; // num 1D qpts = p + 1 + q1d_inc
int smoothers_cheby_order = 1;
real_t epsy = 1.0, epsz = -1;
int ref_par = 0;
bool glvis = false;
bool paraview = false;
SolverConfig coarse_solver(SolverConfig::JACOBI);
OptionsParser args(argc, argv);
args.AddOption(&device_config, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.AddOption(&gpu_aware_mpi, "-g", "--gpu-aware-mpi", "-no-g",
"--no-gpu-aware-mpi", "Enable GPU-aware MPI.");
args.AddOption(&mg_spec, "-mg", "--multigrid-spec",
"Multigrid specification. See README for description.");
args.AddOption(&q1d_inc, "-qi", "--quadrature-points-increment",
"Increment for the 1D quadrature points relative to p + 1");
args.AddOption(&smoothers_cheby_order, "-cb",
"--smoothers-chebyshev-order",
"Order of the Chebyshev smoothers for the multigrid.");
args.AddOption((int*)&coarse_solver.type, "-cs", "--coarse-solver-config",
"Coarse solver configuration. 0: Jacobi, 1: FA-HYPRE, "
"2: LOR-HYPRE, 3: FA-AMGX, 4: LOR-AMGX.");
args.AddOption(&coarse_solver.inner_cg, "-cg", "--inner-cg",
"-no-cg", "--no-inner-cg",
"Use inner CG iteration for the coarse solver.");
args.AddOption(&coarse_solver.inner_sli, "-sli", "--inner-sli",
"-no-sli", "--no-inner-sli",
"Use inner SLI iteration for the coarse solver.");
args.AddOption(&coarse_solver.inner_sli_iter, "-sli-it",
"--inner-sli-iterations",
"Number of iterations for the inner SLI solver.");
args.AddOption(&coarse_solver.coarse_smooth, "-cls", "--coarse-level-smooth",
"-no-cls", "--no-coarse-level-smooth",
"Use coarse smoothing in addition to the coarse solver.");
args.AddOption(&coarse_solver.amgx_config_file, "-amgx", "--amgx-config",
"AmgX config JSON file.");
args.AddOption(&nx, "-nx", "--nx", "Number of elements in x direction.");
args.AddOption(&ny, "-ny", "--ny", "Number of elements in y direction.");
args.AddOption(&nz, "-nz", "--nz", "Number of elements in z direction.");
args.AddOption(&epsy, "-ey", "--epsy", "Kershaw parameter epsilon y.");
args.AddOption(&epsz, "-ez", "--epsz", "Kershaw parameter epsilon z.");
args.AddOption(&rhs_n, "-rn", "--rhs-n",
"Parameter n in the RHS function; -1 for default.");
args.AddOption(&ref_par, "-rp", "--ref-par",
"Number of uniform parallel refinements to perform.");
args.AddOption(&glvis, "-gv", "--glvis", "-no-gv", "--no-glvis",
"Save the mesh and solution for GLVis visualization.");
args.AddOption(&paraview, "-pv", "--paraview", "-no-pv", "--no-paraview",
"Save data files for ParaView visualization.");
args.ParseCheck();
if (ny < 0) { ny = nx; }
if (nz < 0) { nz = nx; }
if (epsz < 0) { epsz = epsy; }
// rhs_n default is handled later
Device device(device_config);
device.SetGPUAwareMPI(gpu_aware_mpi);
if (Mpi::Root()) { device.Print(); }
// Report HYPRE's GPU config and GPU-aware MPI config. Terminates if
// GPU-aware MPI is requested but HYPRE's GPU-aware MPI support is disabled.
report_hypre_gpu_status(gpu_aware_mpi);
// Report environment variables like {CUDA,ROCR}_VISIBLE_DEVICES:
report_env_vars();
// Generate mesh
ParMesh mesh_coarse = CreateKershawMesh(nx, ny, nz, epsy, epsz);
const int dim = mesh_coarse.Dimension();
for (int i=0; i<ref_par; ++i) { mesh_coarse.UniformRefinement(); }
int coarse_order = 0, order = 0, h_ref = ref_par;
// Parse order specification
vector<MGRefinement> mg_refinements;
{
istringstream mg_stream(mg_spec);
string ref;
mg_stream >> coarse_order;
int prev_order = order = coarse_order;
if (Mpi::Root()) { cout << "\nCoarse order " << coarse_order << '\n'; }
while (mg_stream >> ref)
{
if (ref == "r")
{
if (Mpi::Root()) { cout << "h-MG uniform refinement\n"; }
mg_refinements.push_back(MGRefinement::h());
++h_ref;
}
else
{
try { order = stoi(ref); }
catch (...)
{
MFEM_ABORT("Multigrid refinement must either be an integer or "
"the character `r`");
}
if (Mpi::Root()) { cout << "p-MG order " << order << '\n'; }
MFEM_VERIFY(order > 0, "Orders must be positive");
MFEM_VERIFY(order > prev_order, "Orders must be increasing");
mg_refinements.push_back(MGRefinement::p(order));
prev_order = order;
}
}
}
if (order == 1 && coarse_solver.type == SolverConfig::LOR_HYPRE)
{
// Using ~10^7 elements with p=1 overflows a Vector in the LOR setup.
// The Vector has size (3D): (p+1)^3 * 27 * num_elem_ho.
// In 3D, for p > 1, the overflow will happen around:
// - p=2: ~23.6 million dofs or 2,945,794 elements
// - p=3: ~33.6 million dofs or 1,242,757 elements
// - p=4: ~40.7 million dofs or 636,292 elements
// - p=5: ~46.0 million dofs or 368,225 elements
// - p=6: ~50.1 million dofs or 231,885 elements
//
// Note: the size of the Jacobians at quadrature points (with q1d=p+1) in
// 3D is: (p+1)^3 * 9 * num_elem, so 3x smaller than the above Vector.
//
// For q1d=p+2, the overflow happens around:
// - p=1: 8,837,382 elements or ~8.8 million dofs
// - p=2: 3,728,271 elements or ~29.8 million dofs
// - p=3: 1,908,875 elements or ~51.5 million dofs
// - p=4: 1,104,673 elements or ~70.7 million dofs
// - p=5: 695,654 elements or ~87.0 million dofs
// - p=6: 466,034 elements or ~100.7 million dofs
coarse_solver.type = SolverConfig::FA_HYPRE;
if (Mpi::Root())
{
cout << "\nOrder is 1: switching from LOR-HYPRE to FA-HYPRE.\n";
}
}
#if 0
if (order == 1 && coarse_solver.type == SolverConfig::FA_HYPRE &&
coarse_solver.inner_sli)
{
coarse_solver.inner_sli = false;
if (Mpi::Root())
{
cout << "\nOrder is 1: turning off the inner SLI.\n";
}
}
#endif
vector<unique_ptr<FiniteElementCollection>> fe_collections;
fe_collections.emplace_back(new H1_FECollection(coarse_order, dim));
ParFiniteElementSpace fes_coarse(&mesh_coarse, fe_collections.back().get());
ParFiniteElementSpaceHierarchy hierarchy(&mesh_coarse, &fes_coarse,
false, false);
for (MGRefinement ref : mg_refinements)
{
if (ref.type == MGRefinement::H_MG)
{
hierarchy.AddUniformlyRefinedLevel();
}
else // P_MG
{
fe_collections.emplace_back(new H1_FECollection(ref.order, dim));
hierarchy.AddOrderRefinedLevel(fe_collections.back().get());
}
}
const int nlevels = hierarchy.GetNumLevels();
if (Mpi::Root())
{
if (nlevels == 1)
{
cout << "1 level in MG hierarchy. Using coarse solver only." << endl;
}
else
{
cout << nlevels << " levels in MG hierarchy." << endl;
}
coarse_solver.Print();
cout << endl;
}
// Determine final nx, ny, nz and use them to determine the default rhs_n.
const int ref_factor = pow(2, h_ref);
nx *= ref_factor;
ny *= ref_factor;
nz *= ref_factor;
if (rhs_n < 0)
{
int n_min = min(nx, ny);
if (nz > 0) { n_min = min(n_min, nz); }
// Find rhs_n such that 2*3^rhs_n <= (order*n_min) < 2*3^{rhs_n+1}
rhs_n = 0;
for (int l = 2*3; l <= order*n_min; l *= 3) { rhs_n++; }
if (epsy < 0.8) { rhs_n--; }
if (Mpi::Root()) { cout << "Using rhs_n = " << rhs_n << '\n' << endl; }
}
ParFiniteElementSpace &fes = hierarchy.GetFinestFESpace();
ParMesh &mesh = *fes.GetParMesh();
mesh.PrintInfo(cout);
HYPRE_Int ndof = fes.GlobalTrueVSize();
if (Mpi::Root())
{
cout << "\nTotal number of DOFs: " << ndof << endl << endl;
}
// All Dirichlet boundaries
Array<int> ess_bdr;
if (mesh.bdr_attributes.Size())
{
ess_bdr.SetSize(mesh.bdr_attributes.Max());
ess_bdr = 1;
}
ConstantCoefficient one(1.0);
ConstantCoefficient coeff(1.0); // Diffusion coefficient
// Set up RHS
if (Mpi::Root()) { cout << "Assembling right-hand side..." << endl; }
RHS rhs_coeff(dim, rhs_n);
ParLinearForm b(&fes);
const int rhs_ir_inc = 2*q1d_inc+1;
// --> ir_order = 2*(p+1+q1d_inc)-1 --> q1d = p+1+q1d_inc
b.AddDomainIntegrator(new DomainLFIntegrator(rhs_coeff, 2, rhs_ir_inc));
b.UseFastAssembly(true);
b.Assemble();
if (Mpi::Root()) { cout << "Assembling right-hand side... Done." << endl; }
// make sure the GPU is done with any previous tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with any previous tasks:
MPI_Barrier(MPI_COMM_WORLD);
tic();
// Set up operators in the multigrid hierarchy
DiffusionMultigrid MG(hierarchy, coeff, ess_bdr, coarse_solver, q1d_inc,
smoothers_cheby_order);
MG.SetCycleType(Multigrid::CycleType::VCYCLE, 1, 1);
// make sure the GPU is done with all setup tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with all setup tasks:
MPI_Barrier(MPI_COMM_WORLD);
const real_t t_setup = tic_toc.RealTime();
ParGridFunction x(&fes);
x = 0.0;
OperatorPtr A;
Vector X, B;
MG.FormFineLinearSystem(x, b, A, X, B);
const real_t l2_tol = 1e-8;
CGMonitor monitor(l2_tol);
CGSolver cg(MPI_COMM_WORLD);
cg.SetRelTol(0.0); // use the 'monitor' for convergence
cg.SetPrintLevel(1);
cg.SetOperator(*A);
cg.SetPreconditioner(MG);
cg.SetMonitor(monitor);
// Run 2 CG iterations to ensure everything is allocated and initialized for
// the full CG solve:
if (Mpi::Root()) { cout << "Running 2 warm-up CG iterations ...\n"; }
cg.SetMaxIter(2);
{
Vector X_save(X);
cg.Mult(B, X);
X = X_save;
}
if (coarse_solver.inner_sli &&
((coarse_solver.type == SolverConfig::FA_HYPRE /* && order > 1 */) ||
coarse_solver.type == SolverConfig::LOR_HYPRE))
{
// timing data: (t-solve,sli-iter,cheby-order,pcg-iter)
std::vector<std::tuple<double,int,int,int>> timings;
Vector X_save(X);
if (Mpi::Root()) { cout << "\nFinding optimal MG parameters ...\n"; }
cg.SetMaxIter(500);
for (int sli_it = 1; sli_it <= coarse_solver.inner_sli_iter; sli_it++)
{
MG.SetInnerSLINumIter(sli_it);
for (int cheby_order = 1; cheby_order <= smoothers_cheby_order;
cheby_order++)
{
MG.SetSmoothersChebyshevOrder(cheby_order);
if (Mpi::Root())
{
cout << "\nRunning and timing parameters (sli iter, cheby order)"
<< " = (" << sli_it << ',' << cheby_order << ") ...\n";
}
// make sure the GPU is done with any previous tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with any previous tasks:
MPI_Barrier(MPI_COMM_WORLD);
tic();
cg.Mult(B, X);
// make sure the GPU is done with all solve tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with all solve tasks:
MPI_Barrier(MPI_COMM_WORLD);
const double t_solve = tic_toc.RealTime();
if (cg.GetConverged())
{
timings.emplace_back(t_solve, sli_it, cheby_order,
cg.GetNumIterations());
}
X = X_save;
}
}
std::sort(timings.begin(), timings.end());
if (Mpi::Root())
{
cout << "\nSorted timings from rank 0:\n";
const auto old_prec = cout.precision(6);
const auto old_fmtflags = cout.flags();
cout << std::fixed;
for (size_t i = 0; i < timings.size(); i++)
{
cout << setw(2) << i << ": "
<< 1e3*std::get<0>(timings[i]) << " ms: ("
<< std::get<1>(timings[i]) << ','
<< std::get<2>(timings[i]) << "): "
<< setw(3) << std::get<3>(timings[i]) << " iter\n";
}
cout.flags(old_fmtflags);
cout.precision(old_prec);
}
if (timings.size() > 0)
{
// Use the fastest parameters (as timed on rank 0) for the full solve:
int si = std::get<1>(timings[0]);
int co = std::get<2>(timings[0]);
MPI_Bcast(&si, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&co, 1, MPI_INT, 0, MPI_COMM_WORLD);
MG.SetInnerSLINumIter(si);
MG.SetSmoothersChebyshevOrder(co);
coarse_solver.inner_sli_iter = si;
smoothers_cheby_order = co;
if (Mpi::Root())
{
cout << "\nUsing the fastest option (sli iter, cheby order) = ("
<< si << ',' << co << ")\n";
}
}
else
{
MG.SetInnerSLINumIter(1);
MG.SetSmoothersChebyshevOrder(1);
coarse_solver.inner_sli_iter = 1;
smoothers_cheby_order = 1;
if (Mpi::Root())
{
cout << "\nAll options failed to converge!"
<< " Using (sli iter, cheby order) = (1,1)\n";
}
}
}
if (Mpi::Root()) { cout << "\nRunning and timing the full CG solve ...\n"; }
cg.SetMaxIter(500);
// make sure the GPU is done with any previous tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with any previous tasks:
MPI_Barrier(MPI_COMM_WORLD);
tic();
cg.Mult(B, X);
// make sure the GPU is done with all solve tasks:
if (Device::Allows(Backend::DEVICE_MASK)) { MFEM_STREAM_SYNC; }
// make sure all ranks are done with all solve tasks:
MPI_Barrier(MPI_COMM_WORLD);
const double t_solve = tic_toc.RealTime();
const int niter = cg.GetConverged() ? cg.GetNumIterations() : -1;
const real_t bdr_err = verify_ess_bdr(B, X, MG.GetFineEssentialTrueDofs());
if (Mpi::Root())
{
MFEM_VERIFY(bdr_err == 0.0, "Incorrect boundary values in solution!"
" bdr_err = " << bdr_err);
}
MG.RecoverFineFEMSolution(X, b, x);
ExactSolution exact_coeff(dim, rhs_n);
// ExactGrad exact_grad_coeff(dim, rhs_n);
real_t L2_err = x.ComputeL2Error(exact_coeff);
// real_t grad_err = x.ComputeGradError(&exact_grad_coeff);
if (Mpi::Root())
{
cout << "\nL2 Error: " << setprecision(10) << scientific
<< L2_err << '\n';
// cout << "\nGrad Error: " << setprecision(10) << scientific
// << grad_err << '\n';
}
if (glvis)
{
ofstream mesh_ofs(MakeParFilename("mesh.", Mpi::WorldRank()));
mesh_ofs.precision(8);
mesh.Print(mesh_ofs);
ofstream sol_ofs(MakeParFilename("sol.", Mpi::WorldRank()));
sol_ofs.precision(8);
x.Save(sol_ofs);
}
if (paraview)
{
ParGridFunction rhs_gf(&fes), exact_gf(&fes), error_gf(&fes);
rhs_gf.ProjectCoefficient(rhs_coeff);
exact_gf.ProjectCoefficient(exact_coeff);
subtract(exact_gf, x, error_gf);
ParaViewDataCollection dc("SolverBP", &mesh);
dc.RegisterField("u", &x);
dc.RegisterField("rhs", &rhs_gf);
dc.RegisterField("exact", &exact_gf);
dc.RegisterField("error", &error_gf);
dc.SetPrefixPath("ParaView");
dc.SetLevelsOfDetail(order);
dc.SetHighOrderOutput(true);
dc.SetCycle(0);
dc.SetTime(0.0);
dc.Save();
}
const long long nel = mesh.GetGlobalNE();
if (nz == 0) { MFEM_VERIFY(nel == nx*ny, "Wrong number of elements"); }
else { MFEM_VERIFY(nel == nx*ny*nz, "Wrong number of elements"); }
if (Mpi::Root())
{
cout << "\n= Results\n";
PrintPair("nranks", Mpi::WorldSize());
PrintPair("nx", nx);
PrintPair("ny", ny);
PrintPair("nz", nz);
PrintPair("degree", order);
PrintPair("rhs_n", rhs_n);
PrintPair("epsy", epsy);
PrintPair("epsz", epsz);
PrintPair("ndof", ndof);
PrintPair("niter", niter);
// Should also output:
// code id
// prec id
// machine id
// number of supercomputer nodes
// number of 1d quadrature points
// initial and final residuals
// error
// Timings
PrintPair("t_setup", t_setup);
PrintPair("t_solve", t_solve);
cout << "\nSolve MDOFs/rank/sec: "
<< ndof/1e6/Mpi::WorldSize()/t_solve << '\n';
// CSV fields:
// 1. code ID
// 2. preconditioner ID
// 3. machine ID
// 4. number of nodes
// 5. number of MPI ranks
// 6,7,8. n_x, n_y, n_z
// 9. solution polynomial degree
// 10. number of 1D quadrature points
// 11,12. eps_y, eps_z
// 13. ndofs (including Dirichlet boundary)
// 14. niter
// 15,16. initial and final residuals
// 17. error
// 18. t_setup (preconditioner setup)
// 19. t_solve (total iter time)
//
// extract the CSV lines from the output with:
// grep "= CSV:" out.txt | sed -e 's/^= CSV://' > out.csv
cout << "\n= CSV:"
<< "MFEM-" + string(device_config); // 1
string hypre_str =
#if defined(HYPRE_USING_HIP)
"hypre-hip"
#elif defined(HYPRE_USING_CUDA)
"hypre-cuda"
#else
"hypre-cpu"
#endif
;
auto cs = coarse_solver.type;
string prec_id;
if (cs == SolverConfig::FA_HYPRE) // p-MG, add (sli-iter,cheby-order)
{
prec_id = hypre_str + "-pMG(";
}
else if (cs == SolverConfig::LOR_HYPRE) // LOR, add (sli-iter,cheby-order)
{
prec_id = hypre_str + "-LOR(";
}
else if (cs == SolverConfig::JACOBI)
{
prec_id = "diag(";
}
else
{
prec_id = "(unknown)(";
}
if (coarse_solver.inner_cg)
{
prec_id += "cg;";
}
if (coarse_solver.inner_sli)
{
prec_id += to_string(coarse_solver.inner_sli_iter) + ";";
}
prec_id += to_string(smoothers_cheby_order) +
(coarse_solver.coarse_smooth ? "c" : "") + ")";
prec_id += "-" + regex_replace(mg_spec, regex(" "), "-");
cout << ',' << prec_id; // 2
const char *hostname = getenv("HOSTNAME");
if (!hostname) { hostname = getenv("HOST"); }
string host_id = regex_replace(hostname ? hostname : "(unknown)",
regex("[0-9]*$"), "");
cout << ',' << host_id; // 3
cout << ',' << (fes.GetNRanks() + 7)/8; // 4 (assuming 8 ranks/node !!)
cout << ',' << fes.GetNRanks(); // 5
cout << ',' << nx << ',' << ny << ',' << nz; // 6,7,8
cout << ',' << order; // 9
// DiffusionMultigrid::ConstructBilinearForm p+1+q1d_inc 1D points
real_t Q1D = order + 1 + q1d_inc;
cout << ',' << defaultfloat << Q1D; // 10 (note: written as real_t)
cout << ',' << scientific << epsy << ',' << epsz; // 11,12
cout << ',' << ndof; // 13
cout << ',' << niter; // 14
cout << ',' << monitor.initial_nrm << ',' << monitor.final_nrm; // 15,16
cout << ',' << L2_err; // 17
// cout << ',' << grad_err; // 17 *** for testing ***
cout << ',' << t_setup << ',' << t_solve; // 18,19
cout << endl;
}
return 0;
}
void report_hypre_gpu_status(bool gpu_aware_mpi_requested)
{
#ifdef HYPRE_WITH_GPU_AWARE_MPI
bool hypre_gpu_aware_mpi = true;
#else
bool hypre_gpu_aware_mpi = false;
#endif
#if (MFEM_HYPRE_VERSION > 23000)
hypre_gpu_aware_mpi = hypre_gpu_aware_mpi && hypre_GetGpuAwareMPI();
#endif
if (Mpi::Root())
{
MFEM_VERIFY(!gpu_aware_mpi_requested || hypre_gpu_aware_mpi,
"GPU-aware MPI requested but HYPRE's GPU-aware MPI support"
" is not enabled");
cout << "\nHYPRE GPU support: "
#ifdef HYPRE_USING_GPU
<< "enabled";
#else
<< "disabled";
#endif
cout << "\nHYPRE GPU-aware MPI support: "
<< (hypre_gpu_aware_mpi ? "enabled" : "disabled") << endl;
}
}
void report_env_vars()
{
const int myid = Mpi::WorldRank();
// const int lastid = min(Mpi::WorldSize(),4)-1; // show up to 4 ranks
const int lastid = Mpi::WorldSize()-1;
if (myid > lastid) { return; }
Array<char> recv_buf;
int buflen = -1, tag = 42;
const char *env_vars[] =
{
"HOST", "HOSTNAME", "MPICH_GPU_SUPPORT_ENABLED", "CUDA_VISIBLE_DEVICES",
"ROCR_VISIBLE_DEVICES"
};
const int num_env_vars = sizeof(env_vars)/sizeof(env_vars[0]);
// Send strings to rank 0, so that they can be printed in order, guaranteed.
// Every rank > 0 sends to rank 0:
if (myid > 0)
{
for (int ev = 0; ev < num_env_vars; ev++)
{
const char *env_var_val = getenv(env_vars[ev]);
buflen = env_var_val ? int(strlen(env_var_val)+1) : -1;
MPI_Send(&buflen, 1, MPI_INT, 0, tag, MPI_COMM_WORLD);
if (env_var_val)
{
MPI_Send(env_var_val, buflen, MPI_CHAR, 0, tag, MPI_COMM_WORLD);
}
}
}
else // myid == 0
{
cout << "\nDefined environment variables:\n";
for (int id = 0; id <= lastid; id++)
{
cout << "[rank " << id << "]:";
for (int ev = 0, vars_shown = 0; ev < num_env_vars; ev++)
{
const char *env_var_val = nullptr;
if (id == 0)
{
env_var_val = getenv(env_vars[ev]);
buflen = env_var_val ? 0 : -1;
}
else
{
MPI_Recv(&buflen, 1, MPI_INT, id, tag, MPI_COMM_WORLD,
MPI_STATUS_IGNORE);
}
if (buflen != -1)
{
if (id > 0)
{
recv_buf.SetSize(buflen);
MPI_Recv(recv_buf.begin(), buflen, MPI_CHAR, id, tag,
MPI_COMM_WORLD, MPI_STATUS_IGNORE);
env_var_val = recv_buf.begin();
}
if (vars_shown)
{
cout << "\n[rank " << id << "]:";
}
cout << ' ' << env_vars[ev] << '=' << env_var_val;
vars_shown++;
}
}
cout << '\n';
}
if (lastid < Mpi::WorldSize()-1)
{
cout << "... [only " << lastid+1 << '/' << Mpi::WorldSize()
<< " ranks shown]\n";
}
cout << flush;
}
}
real_t verify_ess_bdr(const Vector &b, const Vector &x,
const Array<int> &ess_tdof_list)
{
Vector d(ess_tdof_list.Size());
auto d_b = b.Read();
auto d_x = x.Read();
auto d_d = d.Write();
auto d_ess_ind = ess_tdof_list.Read();
mfem::forall(ess_tdof_list.Size(), [=] MFEM_HOST_DEVICE (int i)
{
const int ind = d_ess_ind[i];
d_d[i] = -fabs(d_b[ind] - d_x[ind]);
});
real_t d_max = -d.Min(); // max is not implemented on device
MPI_Allreduce(MPI_IN_PLACE, &d_max, 1, MFEM_MPI_REAL_T, MPI_MAX,
MPI_COMM_WORLD);
return d_max;
}
+1
View File
@@ -224,5 +224,6 @@ int main (int argc, char *argv[])
}
delete metric;
delete fec_mesh;
return 0;
}
+46 -42
View File
@@ -52,12 +52,13 @@
// (respectively 0), essential (respectively natural) boundary condition
// will be imposed on boundary with the i-th attribute.
#include <fstream>
#include <iostream>
#include <functional>
#include "mfem.hpp"
#include "bramble_pasciak.hpp"
#include "div_free_solver.hpp"
#include <fstream>
#include <iostream>
#include <memory>
using namespace std;
using namespace mfem;
@@ -83,48 +84,54 @@ real_t natural_bc(const Vector & x);
D: subset of the boundary where natural boundary condition is imposed. */
class DarcyProblem
{
OperatorPtr M_;
OperatorPtr B_;
Vector rhs_;
Vector ess_data_;
ParGridFunction u_;
ParGridFunction p_;
OperatorPtr M_, B_;
Vector rhs_, ess_data_;
ParGridFunction u_, p_;
ParMesh mesh_;
ParBilinearForm *mVarf_;
ParMixedBilinearForm *bVarf_;
DFSSpaces dfs_spaces_;
std::function<bool (int)> refine_fn = [&](int num_refs)
{
for (int l = 0; l < num_refs; l++)
{
mesh_.UniformRefinement();
dfs_spaces_.CollectDFSData();
}
return true;
};
const bool dfs_refine_;
ParBilinearForm mVarf_;
ParMixedBilinearForm bVarf_;
VectorFunctionCoefficient ucoeff_;
FunctionCoefficient pcoeff_;
DFSSpaces dfs_spaces_;
PWConstCoefficient mass_coeff;
const IntegrationRule *irs_[Geometry::NumGeom];
public:
DarcyProblem(Mesh &mesh, int num_refines, int order, const char *coef_file,
Array<int> &ess_bdr, DFSParameters param);
HypreParMatrix& GetM() { return *M_.As<HypreParMatrix>(); }
HypreParMatrix& GetB() { return *B_.As<HypreParMatrix>(); }
const HypreParMatrix& GetM() const { return *M_.As<HypreParMatrix>(); }
const HypreParMatrix& GetB() const { return *B_.As<HypreParMatrix>(); }
const Vector& GetRHS() { return rhs_; }
const Vector& GetEssentialBC() { return ess_data_; }
const DFSData& GetDFSData() const { return dfs_spaces_.GetDFSData(); }
void ShowError(const Vector &sol, bool verbose);
void VisualizeSolution(const Vector &sol, std::string tag, int visport = 19916);
ParBilinearForm* GetMform() const { return mVarf_; }
ParMixedBilinearForm* GetBform() const { return bVarf_; }
ParBilinearForm& GetMform() { return mVarf_; }
ParMixedBilinearForm& GetBform() { return bVarf_; }
};
DarcyProblem::DarcyProblem(Mesh &mesh, int num_refs, int order,
const char *coef_file, Array<int> &ess_bdr,
DFSParameters dfs_param)
: mesh_(MPI_COMM_WORLD, mesh), ucoeff_(mesh.Dimension(), u_exact),
pcoeff_(p_exact), dfs_spaces_(order, num_refs, &mesh_, ess_bdr, dfs_param),
: mesh_(MPI_COMM_WORLD, mesh),
dfs_spaces_(order, num_refs, &mesh_, ess_bdr, dfs_param),
dfs_refine_(refine_fn(num_refs)),
mVarf_(dfs_spaces_.GetHdivFES()),
bVarf_(dfs_spaces_.GetHdivFES(), dfs_spaces_.GetL2FES()),
ucoeff_(mesh.Dimension(), u_exact),
pcoeff_(p_exact),
mass_coeff()
{
for (int l = 0; l < num_refs; l++)
{
mesh_.UniformRefinement();
dfs_spaces_.CollectDFSData();
}
Vector coef_vector(mesh.GetNE());
coef_vector = 1.0;
if (std::strcmp(coef_file, ""))
@@ -153,24 +160,20 @@ DarcyProblem::DarcyProblem(Mesh &mesh, int num_refs, int order,
gform.AddDomainIntegrator(new DomainLFIntegrator(gcoeff));
gform.Assemble();
mVarf_ = new ParBilinearForm(dfs_spaces_.GetHdivFES());
bVarf_ = new ParMixedBilinearForm(dfs_spaces_.GetHdivFES(),
dfs_spaces_.GetL2FES());
mVarf_.AddDomainIntegrator(new VectorFEMassIntegrator(mass_coeff));
mVarf_.ComputeElementMatrices();
mVarf_.Assemble();
mVarf_.EliminateEssentialBC(ess_bdr, u_, fform);
mVarf_->AddDomainIntegrator(new VectorFEMassIntegrator(mass_coeff));
mVarf_->ComputeElementMatrices();
mVarf_->Assemble();
mVarf_->EliminateEssentialBC(ess_bdr, u_, fform);
mVarf_.Finalize();
M_.Reset(mVarf_.ParallelAssemble());
mVarf_->Finalize();
M_.Reset(mVarf_->ParallelAssemble());
bVarf_->AddDomainIntegrator(new VectorFEDivergenceIntegrator);
bVarf_->Assemble();
bVarf_->SpMat() *= -1.0;
bVarf_->EliminateTrialEssentialBC(ess_bdr, u_, gform);
bVarf_->Finalize();
B_.Reset(bVarf_->ParallelAssemble());
bVarf_.AddDomainIntegrator(new VectorFEDivergenceIntegrator);
bVarf_.Assemble();
bVarf_.SpMat() *= -1.0;
bVarf_.EliminateTrialEssentialBC(ess_bdr, u_, gform);
bVarf_.Finalize();
B_.Reset(bVarf_.ParallelAssemble());
rhs_.SetSize(M_->NumRows() + B_->NumRows());
Vector rhs_block0(rhs_.GetData(), M_->NumRows());
@@ -341,8 +344,8 @@ int main(int argc, char *argv[])
// Generate components of the saddle point problem
DarcyProblem darcy(*mesh, par_ref_levels, order, coef_file, ess_bdr, param);
HypreParMatrix& M = darcy.GetM();
HypreParMatrix& B = darcy.GetB();
const HypreParMatrix &M = darcy.GetM();
const HypreParMatrix &B = darcy.GetB();
const DFSData& DFS_data = darcy.GetDFSData();
delete mesh;
@@ -362,6 +365,7 @@ int main(int argc, char *argv[])
std::map<const DarcySolver*, real_t> setup_time;
chrono.Restart();
BDPMinresSolver bdp(M, B, param);
bdp.iterative_mode = true;
setup_time[&bdp] = chrono.RealTime();
chrono.Restart();
+12 -15
View File
@@ -14,29 +14,27 @@
namespace mfem
{
BlockFESpaceOperator::BlockFESpaceOperator(const
std::vector<const FiniteElementSpace*> &fespaces):
BlockFESpaceOperator::BlockFESpaceOperator(const FESVector &fespaces):
Operator(GetHeight(fespaces)),
offsets(GetBlockOffsets(fespaces)),
prolongColOffsets(GetProColBlockOffsets(fespaces)),
restrictRowOffsets(GetResRowBlockOffsets(fespaces)),
A(offsets),
prolongation(offsets,prolongColOffsets),
prolongation(offsets, prolongColOffsets),
restriction(restrictRowOffsets, offsets)
{
for (size_t i = 0; i <fespaces.size(); i++)
{
// Since const_cast is required here, be sure to avoid using
// BlockOperator::GetBlock on restriction or prolongation.
prolongation.SetDiagonalBlock(i,
const_cast<Operator *>(fespaces[i]->GetProlongationMatrix()));
restriction.SetDiagonalBlock(i,
const_cast<Operator *>(fespaces[i]->GetRestrictionOperator()));
auto prolongation_matrix = fespaces[i]->GetProlongationMatrix();
auto restriction_matrix = fespaces[i]->GetRestrictionOperator();
prolongation.SetDiagonalBlock(i, const_cast<Operator *>(prolongation_matrix));
restriction.SetDiagonalBlock(i, const_cast<Operator *>(restriction_matrix));
}
}
int BlockFESpaceOperator::GetHeight(const std::vector<const FiniteElementSpace*>
&fespaces)
int BlockFESpaceOperator::GetHeight(const FESVector &fespaces)
{
int height = 0;
for (size_t i = 0; i < fespaces.size(); i++)
@@ -46,8 +44,7 @@ int BlockFESpaceOperator::GetHeight(const std::vector<const FiniteElementSpace*>
return height;
}
Array<int> BlockFESpaceOperator::GetBlockOffsets(const
std::vector<const FiniteElementSpace*> &fespaces)
Array<int> BlockFESpaceOperator::GetBlockOffsets(const FESVector &fespaces)
{
Array<int> offsets(fespaces.size()+1);
offsets[0] = 0;
@@ -60,8 +57,8 @@ Array<int> BlockFESpaceOperator::GetBlockOffsets(const
return offsets;
}
Array<int> BlockFESpaceOperator::GetProColBlockOffsets(const
std::vector<const FiniteElementSpace*> &fespaces)
Array<int> BlockFESpaceOperator::GetProColBlockOffsets(const FESVector
&fespaces)
{
Array<int> offsets(fespaces.size()+1);
offsets[0] = 0;
@@ -83,8 +80,8 @@ Array<int> BlockFESpaceOperator::GetProColBlockOffsets(const
return offsets;
}
Array<int> BlockFESpaceOperator::GetResRowBlockOffsets(const
std::vector<const FiniteElementSpace*> &fespaces)
Array<int> BlockFESpaceOperator::GetResRowBlockOffsets(const FESVector
&fespaces)
{
Array<int> offsets(fespaces.size()+1);
std::cout << "fespaces.size() = " << fespaces.size() << std::endl;
+10 -15
View File
@@ -25,7 +25,8 @@ namespace mfem
/// L-Vectors. For example, a block may be a BilinearForm.
class BlockFESpaceOperator : public Operator
{
private:
using FESVector = std::vector<const FiniteElementSpace*>;
/// Offsets for the square "A" operator.
Array<int> offsets;
/// Column offsets for the prolongation operator.
@@ -39,33 +40,27 @@ private:
/// Maps true dofs of each block to local dofs.
BlockOperator restriction;
/// Computes height for parent operator.
static int GetHeight(const std::vector<const FiniteElementSpace*>
&fespaces);
static int GetHeight(const FESVector &fespaces);
/// Computes offsets for A BlockOperator.
static Array<int> GetBlockOffsets(const std::vector<const FiniteElementSpace*>
&fespaces);
static Array<int> GetBlockOffsets(const FESVector &fespaces);
/// Computes col_offsets for prolongation operator.
static Array<int> GetProColBlockOffsets(const
std::vector<const FiniteElementSpace*> &fespaces);
static Array<int> GetProColBlockOffsets(const FESVector &fespaces);
/// Computes row_offsets for restriction operator.
static Array<int> GetResRowBlockOffsets(const
std::vector<const FiniteElementSpace*> &fespaces);
static Array<int> GetResRowBlockOffsets(const FESVector &fespaces);
public:
/// @brief Constructor for BlockFESpaceOperator.
/// @param[in] fespaces Finite element spaces for diagonal blocks. Spaces are not owned.
BlockFESpaceOperator(const std::vector<const FiniteElementSpace*> &fespaces);
BlockFESpaceOperator(const FESVector &fespaces);
const Operator* GetProlongation () const override;
const Operator* GetRestriction () const override;
void Mult(const Vector &x, Vector &y) const override {A.Mult(x,y);};
/// @brief Wraps BlockOperator::SetBlock. Eventually would like this class to inherit
/// from BlockOperator instead, but can't easily due to ownership of offset data
/// in BlockOperator being by reference.
void SetBlock( int iRow,
int iCol,
Operator * op,
real_t c = 1.0) {A.SetBlock(iRow, iCol, op, c);};
void SetBlock(int iRow, int iCol, Operator *op, real_t c = 1.0) { A.SetBlock(iRow, iCol, op, c); };
};
} // namespace mfem
#endif
#endif // MFEM_BLOCK_FESPACE_OPERATOR
+42 -49
View File
@@ -9,70 +9,66 @@
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "bramble_pasciak.hpp"
using namespace std;
namespace mfem
{
namespace blocksolvers
namespace mfem::blocksolvers
{
/// Bramble-Pasciak Solver
BramblePasciakSolver::BramblePasciakSolver(
ParBilinearForm *mVarf,
ParMixedBilinearForm *bVarf,
const BPSParameters &param)
: DarcySolver(mVarf->ParFESpace()->GetTrueVSize(),
bVarf->TestFESpace()->GetTrueVSize())
BramblePasciakSolver::BramblePasciakSolver(ParBilinearForm &mVarf,
ParMixedBilinearForm &bVarf,
const BPSParameters &param)
: DarcySolver(mVarf.ParFESpace()->GetTrueVSize(),
bVarf.TestFESpace()->GetTrueVSize())
{
M_.reset(mVarf->ParallelAssemble());
B_.reset(bVarf->ParallelAssemble());
Q_.reset(ConstructMassPreconditioner(*mVarf, param.q_scaling));
M_.reset(mVarf.ParallelAssemble());
B_.reset(bVarf.ParallelAssemble());
Q_.reset(ConstructMassPreconditioner(mVarf, param.q_scaling));
Vector diagM;
M_->GetDiag(diagM);
auto BT = B_->Transpose();
auto invDBt = new HypreParMatrix(*BT);
std::unique_ptr<HypreParMatrix> invDBt(B_->Transpose());
invDBt->InvScaleRows(diagM);
auto S = ParMult(B_.get(), invDBt);
S_.reset(ParMult(B_.get(), invDBt.get(), true));
invDBt.reset();
M0_.Reset(new HypreDiagScale(*M_));
M1_.Reset(new HypreBoomerAMG(*S));
M1_.Reset(new HypreBoomerAMG(*S_));
M1_.As<HypreBoomerAMG>()->SetPrintLevel(0);
Init(*M_, *B_, *Q_, *M0_.As<Solver>(), *M1_.As<Solver>(), param);
}
BramblePasciakSolver::BramblePasciakSolver(
HypreParMatrix &M, HypreParMatrix &B, HypreParMatrix &Q,
Solver &M0, Solver &M1,
const BPSParameters &param)
BramblePasciakSolver::BramblePasciakSolver(HypreParMatrix &M,
HypreParMatrix &B,
HypreParMatrix &Q,
Solver &M0, Solver &M1,
const BPSParameters &param)
: DarcySolver(M.NumRows(), B.NumRows())
{
Init(M, B, Q, M0, M1, param);
}
void BramblePasciakSolver::Init(
HypreParMatrix &M, HypreParMatrix &B, HypreParMatrix &Q,
Solver &M0, Solver &M1,
const BPSParameters &param)
void BramblePasciakSolver::Init(HypreParMatrix &M,
HypreParMatrix &B,
HypreParMatrix &Q,
Solver &M0, Solver &M1,
const BPSParameters &param)
{
auto Bt = new TransposeOperator(&B);
Bt_ = std::make_unique<TransposeOperator>(&B);
auto invQ = new HypreDiagScale(Q);
use_bpcg = param.use_bpcg;
if (use_bpcg)
{
oop_ = new BlockOperator(offsets_);
oop_->owns_blocks = false;
oop_ = std::make_unique<BlockOperator>(offsets_);
oop_->SetBlock(0, 0, &M);
oop_->SetBlock(0, 1, Bt);
oop_->SetBlock(0, 1, Bt_.get());
oop_->SetBlock(1, 0, &B);
// cpc_ unused in bpcg
auto temp_cpc = new BlockDiagonalPreconditioner(offsets_);
temp_cpc->owns_blocks = true;
temp_cpc->SetDiagonalBlock(0, invQ);
temp_cpc->SetDiagonalBlock(1, &M1);
// tri(1,0) = B M0 = B invQ
@@ -81,51 +77,48 @@ void BramblePasciakSolver::Init(
auto BinvQ = new ProductOperator(&B, invQ, false, false);
// tri
auto temp_tri = new BlockOperator(offsets_);
temp_tri->owns_blocks = true;
temp_tri->SetBlock(0, 0, id_m);
temp_tri->SetBlock(1, 1, id_b, -1.0);
temp_tri->SetBlock(1, 0, BinvQ);
temp_tri->owns_blocks = 1;
ppc_ = new ProductOperator(temp_cpc, temp_tri, true, true);
ppc_ = std::make_unique<ProductOperator>(temp_cpc, temp_tri, true, true);
ipc_ = new BlockOperator(offsets_);
ipc_->owns_blocks = false;
ipc_ = std::make_unique<BlockOperator>(offsets_);
ipc_->SetDiagonalBlock(0, invQ);
ipc_->owns_blocks = 1;
// bpcg
solver_.reset(new BPCGSolver(M.GetComm(), *ipc_, *ppc_));
solver_ = std::make_unique<BPCGSolver>(M.GetComm(), ipc_.get(), ppc_.get());
solver_->SetOperator(*oop_);
}
else
{
// oop_ unused in cg
auto temp_oop = new BlockOperator(offsets_);
temp_oop->owns_blocks = false;
temp_oop->SetBlock(0, 0, &M);
temp_oop->SetBlock(0, 1, Bt);
temp_oop->SetBlock(0, 1, Bt_.get());
temp_oop->SetBlock(1, 0, &B);
// ipc_ unused in cg
auto temp_ipc = new BlockOperator(offsets_);
temp_ipc->owns_blocks = false;
temp_ipc->SetDiagonalBlock(0, invQ);
temp_ipc->owns_blocks = 1;
// temp_AN = temp_oop * temp_ipc
auto temp_AN = new ProductOperator(temp_oop, temp_ipc, true, true);
// Required for updating the RHS
auto id = new IdentityOperator(M.NumRows()+B.NumRows());
map_ = new SumOperator(temp_AN, 1.0, id, -1.0, true, true);
map_ = std::make_unique<SumOperator>(temp_AN, 1.0, id, -1.0, true, true);
mop_ = std::make_unique<ProductOperator>(map_.get(), temp_oop, false, false);
mop_ = new ProductOperator(map_, temp_oop, false, true);
cpc_ = new BlockDiagonalPreconditioner(offsets_);
cpc_->owns_blocks = true;
cpc_ = std::make_unique<BlockDiagonalPreconditioner>(offsets_);
cpc_->SetDiagonalBlock(0, &M0);
cpc_->SetDiagonalBlock(1, &M1);
// (P)CG
solver_.reset(new CGSolver(M.GetComm()));
solver_ = std::make_unique<CGSolver>(M.GetComm());
solver_->SetOperator(*mop_);
solver_->SetPreconditioner(*cpc_);
}
@@ -133,7 +126,7 @@ void BramblePasciakSolver::Init(
}
HypreParMatrix *BramblePasciakSolver::ConstructMassPreconditioner(
ParBilinearForm &mVarf, real_t q_scaling)
const ParBilinearForm &mVarf, real_t q_scaling)
{
MFEM_ASSERT((q_scaling > 0.0) && (q_scaling < 1.0),
"Invalid Q-scaling factor: q_scaling = " << q_scaling );
@@ -167,7 +160,7 @@ HypreParMatrix *BramblePasciakSolver::ConstructMassPreconditioner(
Vector x(M_i.Height()), Mx(M_i.Height()), diff(M_i.Height());
real_t eval_prev = 0.0;
int iter = 0;
x.Randomize(696383552+779345*i);
x.Randomize(static_cast<int>(696383552LL+779345LL*i));
#if defined(MFEM_USE_DOUBLE)
const real_t rel_tol = 1e-12;
#elif defined(MFEM_USE_SINGLE)
@@ -400,5 +393,5 @@ void BPCGSolver::Mult(const Vector &b, Vector &x) const
final_norm = sqrt(delta);
Monitor(final_iter, final_norm, r, x, true);
}
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
+19 -27
View File
@@ -49,9 +49,7 @@
#include "darcy_solver.hpp"
#include <memory>
namespace mfem
{
namespace blocksolvers
namespace mfem::blocksolvers
{
/// Parameters for the BramblePasciakSolver method
@@ -70,11 +68,11 @@ protected:
void UpdateVectors();
public:
BPCGSolver(const Operator &ipc, const Operator &ppc) { pprec = &ppc; iprec = &ipc; }
BPCGSolver(const Operator *ipc, const Operator *ppc): iprec(ipc), pprec(ppc) {}
#ifdef MFEM_USE_MPI
BPCGSolver(MPI_Comm comm_, const Operator &ipc, const Operator &ppc)
: IterativeSolver(comm_) { pprec = &ppc; iprec = &ipc; }
BPCGSolver(MPI_Comm comm_, const Operator *ipc, const Operator *ppc)
: IterativeSolver(comm_), iprec(ipc), pprec(ppc) { }
#endif
void SetOperator(const Operator &op) override
@@ -83,11 +81,9 @@ public:
void SetPreconditioner(Solver &pc) override
{ if (Mpi::Root()) { MFEM_WARNING("SetPreconditioner has no effect on BPCGSolver.\n"); } }
virtual void SetIncompletePreconditioner(const Operator &ipc)
{ iprec = &ipc; }
virtual void SetIncompletePreconditioner(const Operator *ipc) { iprec = ipc; }
virtual void SetParticularPreconditioner(const Operator &ppc)
{ pprec = &ppc; }
virtual void SetParticularPreconditioner(const Operator *ppc) { pprec = ppc; }
void Mult(const Vector &b, Vector &x) const override;
};
@@ -116,23 +112,20 @@ public:
1. P. Vassilevski, Multilevel Block Factorization Preconditioners (Appendix
F.3), Springer, 2008.
2. J. Bramble and J. Pasciak. A Preconditioning Technique for Indefinite
2. J. Bramble and J. Pasciak. A Preconditioning Technique for Indefinite
Systems Resulting From Mixed Approximations of Elliptic Problems,
Mathematics of Computation, 50:1-17, 1988. */
class BramblePasciakSolver : public DarcySolver
{
mutable bool use_bpcg;
std::unique_ptr<IterativeSolver> solver_;
BlockOperator *oop_, *ipc_;
ProductOperator *mop_;
SumOperator *map_;
ProductOperator *ppc_;
BlockDiagonalPreconditioner *cpc_;
std::unique_ptr<HypreParMatrix> M_;
std::unique_ptr<HypreParMatrix> B_;
std::unique_ptr<HypreParMatrix> Q_;
OperatorPtr M0_;
OperatorPtr M1_;
std::unique_ptr<BlockOperator> oop_, ipc_;
std::unique_ptr<ProductOperator> mop_, ppc_;
std::unique_ptr<SumOperator> map_;
std::unique_ptr<BlockDiagonalPreconditioner> cpc_;
std::unique_ptr<HypreParMatrix> M_, B_, Q_, S_;
std::unique_ptr<TransposeOperator> Bt_;
OperatorPtr M0_, M1_;
Array<int> ess_zero_dofs_;
void Init(HypreParMatrix &M, HypreParMatrix &B,
@@ -142,8 +135,8 @@ class BramblePasciakSolver : public DarcySolver
public:
/// System and mass preconditioner are constructed from bilinear forms
BramblePasciakSolver(
ParBilinearForm *mVarf,
ParMixedBilinearForm *bVarf,
ParBilinearForm &mVarf,
ParMixedBilinearForm &bVarf,
const BPSParameters &param);
/// System and mass preconditioner are user-provided
@@ -158,8 +151,8 @@ public:
element T:
M_T x_T = lambda_T diag(M_T) x_T.
We set Q_T = alpha * min(lambda_T) * diag(M_T), 0 < alpha < 1. */
static HypreParMatrix *ConstructMassPreconditioner(ParBilinearForm &mVarf,
real_t alpha = 0.5);
static HypreParMatrix *ConstructMassPreconditioner(const ParBilinearForm &mVarf,
const real_t alpha = 0.5);
void Mult(const Vector &x, Vector &y) const override;
void SetOperator(const Operator &op) override { }
@@ -167,7 +160,6 @@ public:
int GetNumIterations() const override { return solver_->GetNumIterations(); }
};
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
#endif // MFEM_BP_SOLVER_HPP
+6 -6
View File
@@ -13,10 +13,9 @@
using namespace std;
namespace mfem
{
namespace blocksolvers
namespace mfem::blocksolvers
{
void SetOptions(IterativeSolver& solver, const IterSolveParameters& param)
{
solver.SetPrintLevel(param.print_level);
@@ -49,7 +48,7 @@ BDPMinresSolver::BDPMinresSolver(const HypreParMatrix& M,
prec_.SetDiagonalBlock(0, new HypreDiagScale(M));
prec_.SetDiagonalBlock(1, new HypreBoomerAMG(*S_.As<HypreParMatrix>()));
static_cast<HypreBoomerAMG&>(prec_.GetDiagonalBlock(1)).SetPrintLevel(0);
prec_.owns_blocks = true;
prec_.owns_blocks = 1;
SetOptions(solver_, param);
solver_.SetOperator(op_);
@@ -58,8 +57,9 @@ BDPMinresSolver::BDPMinresSolver(const HypreParMatrix& M,
void BDPMinresSolver::Mult(const Vector & x, Vector & y) const
{
solver_.iterative_mode = this->iterative_mode;
solver_.Mult(x, y);
for (int dof : ess_zero_dofs_) { y[dof] = 0.0; }
}
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
+5 -10
View File
@@ -13,13 +13,10 @@
#define MFEM_DARCY_SOLVER_HPP
#include "mfem.hpp"
#include <memory>
#include <vector>
namespace mfem
{
namespace blocksolvers
namespace mfem::blocksolvers
{
struct IterSolveParameters
{
int print_level = 0;
@@ -32,8 +29,6 @@ struct IterSolveParameters
real_t rel_tol = 1e-5;
#else
#error "Only single and double precision are supported!"
real_t abs_tol = 1e-12;
real_t rel_tol = 1e-9;
#endif
};
@@ -57,7 +52,7 @@ class BDPMinresSolver : public DarcySolver
BlockDiagonalPreconditioner prec_;
OperatorPtr BT_;
OperatorPtr S_; // S_ = B diag(M)^{-1} B^T
MINRESSolver solver_;
mutable MINRESSolver solver_;
Array<int> ess_zero_dofs_;
public:
BDPMinresSolver(const HypreParMatrix& M,
@@ -68,7 +63,7 @@ public:
void SetEssZeroDofs(const Array<int>& dofs) { dofs.Copy(ess_zero_dofs_); }
int GetNumIterations() const override { return solver_.GetNumIterations(); }
};
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
#endif // MFEM_DARCY_SOLVER_HPP
+105 -107
View File
@@ -13,16 +13,16 @@
using namespace std;
namespace mfem
namespace mfem::blocksolvers
{
namespace blocksolvers
static HypreParMatrix* TwoStepsRAP(const HypreParMatrix *Rt,
const HypreParMatrix *A,
const HypreParMatrix *P)
{
HypreParMatrix* TwoStepsRAP(const HypreParMatrix& Rt, const HypreParMatrix& A,
const HypreParMatrix& P)
{
OperatorPtr R(Rt.Transpose());
OperatorPtr RA(ParMult(R.As<HypreParMatrix>(), &A));
return ParMult(RA.As<HypreParMatrix>(), &P, true);
OperatorPtr R(Rt->Transpose());
OperatorPtr RA(ParMult(R.As<HypreParMatrix>(), A));
return ParMult(RA.As<HypreParMatrix>(), P, true);
}
void GetRowColumnsRef(const SparseMatrix& A, int row, Array<int>& cols)
@@ -59,34 +59,35 @@ DFSSpaces::DFSSpaces(int order, int num_refine, ParMesh *mesh,
if (mesh->Dimension() == 3)
{
hcurl_fec_.reset(new ND_FECollection(order+1, mesh->Dimension()));
hcurl_fec_ = std::make_unique<ND_FECollection>(order+1, mesh->Dimension());
}
else
{
hcurl_fec_.reset(new H1_FECollection(order+1, mesh->Dimension()));
hcurl_fec_ = std::make_unique<H1_FECollection>(order+1, mesh->Dimension());
}
all_bdr_attr_.SetSize(ess_attr.Size(), 1);
hdiv_fes_.reset(new ParFiniteElementSpace(mesh, &hdiv_fec_));
l2_fes_.reset(new ParFiniteElementSpace(mesh, &l2_fec_));
coarse_hdiv_fes_.reset(new ParFiniteElementSpace(*hdiv_fes_));
coarse_l2_fes_.reset(new ParFiniteElementSpace(*l2_fes_));
l2_0_fes_.reset(new ParFiniteElementSpace(mesh, &l2_0_fec_));
hdiv_fes_ = std::make_unique<ParFiniteElementSpace>(mesh, &hdiv_fec_);
l2_fes_ = std::make_unique<ParFiniteElementSpace>(mesh, &l2_fec_);
coarse_hdiv_fes_ = std::make_unique<ParFiniteElementSpace>(*hdiv_fes_);
coarse_l2_fes_ = std::make_unique<ParFiniteElementSpace>(*l2_fes_);
l2_0_fes_ = std::make_unique<ParFiniteElementSpace>(mesh, &l2_0_fec_);
l2_0_fes_->SetUpdateOperatorType(Operator::MFEM_SPARSEMAT);
el_l2dof_.reserve(num_refine+1);
el_l2dof_.push_back(ElemToDof(*coarse_l2_fes_));
data_.agg_hdivdof.resize(num_refine);
data_.agg_l2dof.resize(num_refine);
data_.P_hdiv.resize(num_refine, OperatorPtr(Operator::Hypre_ParCSR));
data_.P_l2.resize(num_refine, OperatorPtr(Operator::Hypre_ParCSR));
data_.P_hdiv.resize(num_refine);
data_.P_l2.resize(num_refine);
data_.Q_l2.resize(num_refine);
hdiv_fes_->GetEssentialTrueDofs(ess_attr, data_.coarsest_ess_hdivdofs);
data_.C.resize(num_refine+1);
hcurl_fes_.reset(new ParFiniteElementSpace(mesh, hcurl_fec_.get()));
coarse_hcurl_fes_.reset(new ParFiniteElementSpace(*hcurl_fes_));
data_.P_hcurl.resize(num_refine, OperatorPtr(Operator::Hypre_ParCSR));
hcurl_fes_ = std::make_unique<ParFiniteElementSpace>(mesh, hcurl_fec_.get());
coarse_hcurl_fes_ = std::make_unique<ParFiniteElementSpace>(*hcurl_fes_);
data_.P_hcurl.resize(num_refine);
}
SparseMatrix* AggToInteriorDof(const Array<int>& bdr_truedofs,
@@ -104,8 +105,8 @@ SparseMatrix* AggToInteriorDof(const Array<int>& bdr_truedofs,
agg_tdof_T.As<HypreParMatrix>()->GetDiag(tdof_agg);
agg_tdof_T.As<HypreParMatrix>()->GetOffd(is_shared, trash);
int * I = new int [tdof_agg.NumRows()+1]();
int * J = new int[tdof_agg.NumNonZeroElems()];
int *I = new int[tdof_agg.NumRows()+1]();
int *J = new int[tdof_agg.NumNonZeroElems()];
Array<int> is_bdr;
FiniteElementSpace::ListToMarker(bdr_truedofs, tdof_agg.NumRows(), is_bdr);
@@ -119,7 +120,7 @@ SparseMatrix* AggToInteriorDof(const Array<int>& bdr_truedofs,
J[counter++] = tdof_agg.GetRowColumns(i)[0];
}
real_t * D = new real_t[I[tdof_agg.NumRows()]];
auto *D = new real_t[I[tdof_agg.NumRows()]];
std::fill_n(D, I[tdof_agg.NumRows()], 1.0);
SparseMatrix intdof_agg(I, J, D, tdof_agg.NumRows(), tdof_agg.NumCols());
@@ -146,20 +147,21 @@ void DFSSpaces::MakeDofRelationTables(int level)
void DFSSpaces::CollectDFSData()
{
auto GetP = [this](OperatorPtr& P, unique_ptr<ParFiniteElementSpace>& cfes,
ParFiniteElementSpace& fes, bool remove_zero)
auto GetP = [&](std::unique_ptr<OperatorPtr> &P,
std::unique_ptr<ParFiniteElementSpace> &cfes,
ParFiniteElementSpace& fes, const bool remove_zero)
{
fes.Update();
fes.GetTrueTransferOperator(*cfes, P);
if (remove_zero)
{
P.As<HypreParMatrix>()->DropSmallEntries(1e-16);
}
auto T = new OperatorHandle(Operator::Hypre_ParCSR);
fes.GetTrueTransferOperator(*cfes, *T);
P.reset(T);
if (remove_zero) { P->As<HypreParMatrix>()->DropSmallEntries(1e-16); }
(level_ < (int)data_.P_l2.size()-1) ? cfes->Update() : cfes.reset();
};
GetP(data_.P_hdiv[level_], coarse_hdiv_fes_, *hdiv_fes_, true);
GetP(data_.P_l2[level_], coarse_l2_fes_, *l2_fes_, false);
MakeDofRelationTables(level_);
GetP(data_.P_hcurl[level_], coarse_hcurl_fes_, *hcurl_fes_, true);
@@ -171,7 +173,9 @@ void DFSSpaces::CollectDFSData()
data_.C[level_+1].Reset(curl.ParallelAssemble());
mfem::Array<int> ess_hcurl_tdof;
hcurl_fes_->GetEssentialTrueDofs(ess_bdr_attr_, ess_hcurl_tdof);
data_.C[level_+1].As<HypreParMatrix>()->EliminateCols(ess_hcurl_tdof);
HypreParMatrix *res =
data_.C[level_+1].As<HypreParMatrix>()->EliminateCols(ess_hcurl_tdof);
delete res;
++level_;
@@ -189,7 +193,7 @@ void DFSSpaces::DataFinalize()
SparseMatrix P_l2;
for (int l = (int)data_.P_l2.size()-1; l >= 0; --l)
{
data_.P_l2[l].As<HypreParMatrix>()->GetDiag(P_l2);
data_.P_l2[l]->As<HypreParMatrix>()->GetDiag(P_l2);
OperatorPtr PT_l2(Transpose(P_l2));
auto PTW = Mult(*PT_l2.As<SparseMatrix>(), *W.As<SparseMatrix>());
auto cW = Mult(*PTW, P_l2);
@@ -245,7 +249,7 @@ SaddleSchwarzSmoother::SaddleSchwarzSmoother(const HypreParMatrix& M,
const SparseMatrix& agg_hdivdof,
const SparseMatrix& agg_l2dof,
const HypreParMatrix& P_l2,
const HypreParMatrix& Q_l2)
const ProductOperator& Q_l2)
: Solver(M.NumRows() + B.NumRows()), agg_hdivdof_(agg_hdivdof),
agg_l2dof_(agg_l2dof), solvers_loc_(agg_l2dof.NumRows())
{
@@ -312,23 +316,27 @@ void SaddleSchwarzSmoother::Mult(const Vector & x, Vector & y) const
blk_y.GetBlock(1) -= coarse_l2_projection;
}
DivFreeSolver::DivFreeSolver(const HypreParMatrix &M, const HypreParMatrix& B,
DivFreeSolver::DivFreeSolver(const HypreParMatrix &M,
const HypreParMatrix &B,
const DFSData& data)
: DarcySolver(M.NumRows(), B.NumRows()), data_(data), param_(data.param),
BT_(B.Transpose()), BBT_solver_(B, param_.BBT_solve_param),
ops_offsets_(data.P_l2.size()+1), ops_(ops_offsets_.size()),
blk_Ps_(ops_.Size()-1), smoothers_(ops_.Size())
BT_(B.Transpose()),
BBT_solver_(B, param_.BBT_solve_param),
ops_offsets_(data.P_l2.size()+1),
ops_(ops_offsets_.size()),
blk_Ps_(ops_.size()-1),
smoothers_(ops_.size())
{
ops_offsets_.back().MakeRef(DarcySolver::offsets_);
ops_.Last() = new BlockOperator(ops_offsets_.back());
ops_.Last()->SetBlock(0, 0, const_cast<HypreParMatrix*>(&M));
ops_.Last()->SetBlock(1, 0, const_cast<HypreParMatrix*>(&B));
ops_.Last()->SetBlock(0, 1, BT_.Ptr());
ops_.back() = std::make_unique<BlockOperator>(ops_offsets_.back());
ops_.back()->SetBlock(0, 0, const_cast<HypreParMatrix*>(&M));
ops_.back()->SetBlock(1, 0, const_cast<HypreParMatrix*>(&B));
ops_.back()->SetBlock(0, 1, BT_.Ptr());
for (int l = data.P_l2.size(); l >= 0; --l)
{
auto& M_f = static_cast<const HypreParMatrix&>(ops_[l]->GetBlock(0, 0));
auto& B_f = static_cast<const HypreParMatrix&>(ops_[l]->GetBlock(1, 0));
auto &M_f = static_cast<const HypreParMatrix&>(ops_[l]->GetBlock(0, 0));
auto &B_f = static_cast<const HypreParMatrix&>(ops_[l]->GetBlock(1, 0));
if (l == 0)
{
@@ -343,123 +351,112 @@ DivFreeSolver::DivFreeSolver(const HypreParMatrix &M, const HypreParMatrix& B,
const IterSolveParameters& param = param_.coarse_solve_param;
auto coarse_solver = new BDPMinresSolver(M_f, B_f, param);
if (ops_.Size() > 1)
if (ops_.size() > 1)
{
coarse_solver->SetEssZeroDofs(data.coarsest_ess_hdivdofs);
}
smoothers_[l] = coarse_solver;
smoothers_[l].reset(coarse_solver);
continue;
}
HypreParMatrix& P_hdiv_l = *data.P_hdiv[l-1].As<HypreParMatrix>();
HypreParMatrix& P_l2_l = *data.P_l2[l-1].As<HypreParMatrix>();
auto P_hdiv_l = data.P_hdiv[l-1]->As<HypreParMatrix>();
auto P_l2_l = data.P_l2[l-1]->As<HypreParMatrix>();
SparseMatrix& agg_hdivdof_l = *data.agg_hdivdof[l-1].As<SparseMatrix>();
SparseMatrix& agg_l2dof_l = *data.agg_l2dof[l-1].As<SparseMatrix>();
HypreParMatrix& Q_l2_l = *data.Q_l2[l-1].As<HypreParMatrix>();
HypreParMatrix* C_l = data.C[l].As<HypreParMatrix>();
ProductOperator& Q_l2_l = *data.Q_l2[l-1].As<ProductOperator>();
auto* C_l = data.C[l].As<HypreParMatrix>();
auto S0 = new SaddleSchwarzSmoother(M_f, B_f, agg_hdivdof_l,
agg_l2dof_l, P_l2_l, Q_l2_l);
agg_l2dof_l, *P_l2_l, Q_l2_l);
if (param_.coupled_solve)
{
auto S1 = new BlockDiagonalPreconditioner(ops_offsets_[l]);
S1->SetDiagonalBlock(0, new AuxSpaceSmoother(M_f, C_l));
S1->owns_blocks = true;
smoothers_[l] = new ProductSolver(ops_[l], S0, S1, false, true, true);
S1->owns_blocks = 1;
smoothers_[l] =
std::make_unique<ProductSolver>(ops_[l].get(), S0, S1, false, true, true);
}
else
{
smoothers_[l] = S0;
smoothers_[l].reset(S0);
}
HypreParMatrix* M_c = TwoStepsRAP(P_hdiv_l, M_f, P_hdiv_l);
HypreParMatrix* B_c = TwoStepsRAP(P_l2_l, B_f, P_hdiv_l);
HypreParMatrix* M_c = TwoStepsRAP(P_hdiv_l, &M_f, P_hdiv_l);
HypreParMatrix* B_c = TwoStepsRAP(P_l2_l, &B_f, P_hdiv_l);
ops_offsets_[l-1].SetSize(3, 0);
ops_offsets_[l-1][1] = M_c->NumRows();
ops_offsets_[l-1][2] = M_c->NumRows() + B_c->NumRows();
blk_Ps_[l-1] = new BlockOperator(ops_offsets_[l], ops_offsets_[l-1]);
blk_Ps_[l-1]->SetBlock(0, 0, &P_hdiv_l);
blk_Ps_[l-1]->SetBlock(1, 1, &P_l2_l);
blk_Ps_[l-1] =
std::make_unique<BlockOperator>(ops_offsets_[l], ops_offsets_[l-1]);
blk_Ps_[l-1]->SetBlock(0, 0, P_hdiv_l);
blk_Ps_[l-1]->SetBlock(1, 1, P_l2_l);
ops_[l-1] = new BlockOperator(ops_offsets_[l-1]);
ops_[l-1] =
std::make_unique<BlockOperator>(ops_offsets_[l-1]);
ops_[l-1]->SetBlock(0, 0, M_c);
ops_[l-1]->SetBlock(1, 0, B_c);
ops_[l-1]->SetBlock(0, 1, B_c->Transpose());
ops_[l-1]->owns_blocks = true;
ops_[l-1]->owns_blocks = 1;
}
Array<bool> own_ops(ops_.Size());
Array<bool> own_smoothers(smoothers_.Size());
Array<bool> own_Ps(blk_Ps_.Size());
own_ops = true;
own_smoothers = true;
own_Ps = true;
if (data_.P_l2.size() == 0) { return; }
Array<bool> own_ops(ops_.size());
Array<bool> own_smoothers(smoothers_.size());
Array<bool> own_blk_Ps(blk_Ps_.size());
own_ops = false, own_smoothers = false, own_blk_Ps = false;
Array<Solver*> smoothers(smoothers_.size());
if (param_.coupled_solve)
{
solver_.Reset(new GMRESSolver(B.GetComm()));
solver_.As<GMRESSolver>()->SetOperator(*(ops_.Last()));
prec_.Reset(new Multigrid(ops_, smoothers_, blk_Ps_,
own_ops, own_smoothers, own_Ps));
solver_.As<GMRESSolver>()->SetOperator(*(ops_.back()));
Array<BlockOperator*> ops(ops_.size()), blk_Ps(blk_Ps_.size());
for (size_t i = 0; i < ops_.size(); ++i) { ops[i] = ops_[i].get(); }
for (size_t i = 0; i < blk_Ps_.size(); ++i) { blk_Ps[i] = blk_Ps_[i].get(); }
for (size_t i = 0; i < smoothers_.size(); ++i) { smoothers[i] = smoothers_[i].get(); }
prec_.Reset(new Multigrid(ops, smoothers, blk_Ps,
own_ops, own_smoothers, own_blk_Ps));
}
else
{
Array<HypreParMatrix*> ops(data_.P_hcurl.size()+1);
Array<Solver*> smoothers(ops.Size());
Array<HypreParMatrix*> Ps(data_.P_hcurl.size());
own_Ps = false;
HypreParMatrix& C_finest = *data.C.back().As<HypreParMatrix>();
ops.Last() = TwoStepsRAP(C_finest, M, C_finest);
auto C_finest = data.C.back().As<HypreParMatrix>();
ops.Last() = TwoStepsRAP(C_finest, &M, C_finest);
ops.Last()->EliminateZeroRows();
ops.Last()->DropSmallEntries(1e-14);
solver_.Reset(new CGSolver(B.GetComm()));
solver_.As<CGSolver>()->SetOperator(*ops.Last());
smoothers.Last() = new HypreSmoother(*ops.Last());
static_cast<HypreSmoother*>(smoothers.Last())->SetOperatorSymmetry(true);
for (int l = Ps.Size()-1; l >= 0; --l)
{
Ps[l] = data_.P_hcurl[l].As<HypreParMatrix>();
ops[l] = TwoStepsRAP(*Ps[l], *ops[l+1], *Ps[l]);
Ps[l] = data_.P_hcurl[l]->As<HypreParMatrix>();
ops[l] = TwoStepsRAP(Ps[l], ops[l+1], Ps[l]);
ops[l]->DropSmallEntries(1e-14);
smoothers[l] = new HypreSmoother(*ops[l]);
static_cast<HypreSmoother*>(smoothers[l])->SetOperatorSymmetry(true);
}
prec_.Reset(new Multigrid(ops, smoothers, Ps, own_ops, own_smoothers, own_Ps));
own_ops = true, own_smoothers = true;
prec_.Reset(new Multigrid(ops, smoothers, Ps,
own_ops, own_smoothers, own_blk_Ps));
}
solver_.As<IterativeSolver>()->SetPreconditioner(*prec_.As<Solver>());
SetOptions(*solver_.As<IterativeSolver>(), param_);
}
DivFreeSolver::~DivFreeSolver()
{
if (param_.coupled_solve) { return; }
for (int i = 0; i < ops_.Size(); ++i)
{
delete ops_[i];
delete smoothers_[i];
if (i == ops_.Size() - 1) { break; }
delete blk_Ps_[i];
}
}
void DivFreeSolver::SolveParticular(const Vector& rhs, Vector& sol) const
{
std::vector<Vector> rhss(smoothers_.Size());
std::vector<Vector> sols(smoothers_.Size());
std::vector<Vector> rhss(smoothers_.size()), sols(smoothers_.size());
rhss.back().SetDataAndSize(const_cast<real_t*>(rhs.HostRead()), rhs.Size());
sols.back().SetDataAndSize(sol.HostWrite(), sol.Size());
for (int l = blk_Ps_.Size()-1; l >= 0; --l)
for (int l = blk_Ps_.size()-1; l >= 0; --l)
{
rhss[l].SetSize(blk_Ps_[l]->NumCols());
sols[l].SetSize(blk_Ps_[l]->NumCols());
@@ -470,12 +467,12 @@ void DivFreeSolver::SolveParticular(const Vector& rhs, Vector& sol) const
blk_Ps_[l]->MultTranspose(rhss[l+1], rhss[l]);
}
for (int l = 0; l < smoothers_.Size(); ++l)
for (size_t l = 0; l < smoothers_.size(); ++l)
{
smoothers_[l]->Mult(rhss[l], sols[l]);
}
for (int l = 0; l < blk_Ps_.Size(); ++l)
for (size_t l = 0; l < blk_Ps_.size(); ++l)
{
Vector P_sol(blk_Ps_[l]->NumRows());
blk_Ps_[l]->Mult(sols[l], P_sol);
@@ -507,12 +504,12 @@ void DivFreeSolver::Mult(const Vector & x, Vector & y) const
MFEM_VERIFY(x.Size() == offsets_[2], "MLDivFreeSolver: x size is invalid");
MFEM_VERIFY(y.Size() == offsets_[2], "MLDivFreeSolver: y size is invalid");
if (ops_.Size() == 1) { smoothers_[0]->Mult(x, y); return; }
if (ops_.size() == 1) { smoothers_[0]->Mult(x, y); return; }
BlockVector blk_y(y, offsets_);
BlockVector resid(offsets_);
ops_.Last()->Mult(y, resid);
ops_.back()->Mult(y, resid);
add(1.0, x, -1.0, resid, resid);
BlockVector correction(offsets_);
@@ -539,7 +536,7 @@ void DivFreeSolver::Mult(const Vector & x, Vector & y) const
ch.Clear();
ch.Start();
ops_.Last()->Mult(y, resid);
ops_.back()->Mult(y, resid);
add(1.0, x, -1.0, resid, resid);
SolveDivFree(resid.GetBlock(0), correction.GetBlock(0));
@@ -553,7 +550,7 @@ void DivFreeSolver::Mult(const Vector & x, Vector & y) const
ch.Clear();
ch.Start();
auto& M = dynamic_cast<const HypreParMatrix&>(ops_.Last()->GetBlock(0, 0));
auto& M = dynamic_cast<const HypreParMatrix&>(ops_.back()->GetBlock(0, 0));
M.Mult(-1.0, correction.GetBlock(0), 1.0, resid.GetBlock(0));
SolvePotential(resid.GetBlock(0), correction.GetBlock(1));
blk_y.GetBlock(1) += correction.GetBlock(1);
@@ -567,11 +564,12 @@ void DivFreeSolver::Mult(const Vector & x, Vector & y) const
int DivFreeSolver::GetNumIterations() const
{
if (ops_.Size() == 1)
if (ops_.size() == 1)
{
return static_cast<BDPMinresSolver*>(smoothers_[0])->GetNumIterations();
return static_cast<BDPMinresSolver*>
(smoothers_.at(0).get())->GetNumIterations();
}
return solver_.As<IterativeSolver>()->GetNumIterations();
}
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
+22 -28
View File
@@ -13,11 +13,11 @@
#define MFEM_DIVFREE_SOLVER_HPP
#include "darcy_solver.hpp"
#include <memory>
namespace mfem
{
namespace blocksolvers
namespace mfem::blocksolvers
{
/// Parameters for the divergence free solver
struct DFSParameters : IterSolveParameters
{
@@ -35,14 +35,16 @@ struct DFSParameters : IterSolveParameters
/// Data for the divergence free solver
struct DFSData
{
std::vector<OperatorPtr> agg_hdivdof; // agglomerates to H(div) dofs table
std::vector<OperatorPtr> agg_l2dof; // agglomerates to L2 dofs table
std::vector<OperatorPtr> P_hdiv; // Interpolation matrix for H(div) space
std::vector<OperatorPtr> P_l2; // Interpolation matrix for L2 space
std::vector<OperatorPtr> P_hcurl; // Interpolation for kernel space of div
std::vector<OperatorPtr> Q_l2; // Q_l2[l] = (W_{l+1})^{-1} P_l2[l]^T W_l
Array<int> coarsest_ess_hdivdofs; // coarsest level essential H(div) dofs
std::vector<OperatorPtr> C; // discrete curl: ND -> RT, map to Null(B)
using UniqueOperatorPtr = std::unique_ptr<OperatorPtr>;
std::vector<OperatorPtr> agg_hdivdof; // agglomerates to H(div) dofs table
std::vector<OperatorPtr> agg_l2dof; // agglomerates to L2 dofs table
std::vector<UniqueOperatorPtr> P_hdiv; // Interpolation matrix for H(div) space
std::vector<UniqueOperatorPtr> P_l2; // Interpolation matrix for L2 space
std::vector<UniqueOperatorPtr> P_hcurl; // Interpolation for kernel space of div
std::vector<OperatorPtr> Q_l2; // Q_l2[l] = (W_{l+1})^{-1} P_l2[l]^T W_l
Array<int> coarsest_ess_hdivdofs; // coarsest level essential H(div) dofs
std::vector<OperatorPtr> C; // discrete curl: ND -> RT, map to Null(B)
DFSParameters param;
};
@@ -92,8 +94,7 @@ public:
/// Compute the product B * B^T and solve it with CG preconditioned by BoomerAMG
class BBTSolver : public Solver
{
OperatorPtr BBT_;
OperatorPtr BBT_prec_;
OperatorPtr BBT_, BBT_prec_;
CGSolver BBT_solver_;
public:
BBTSolver(const HypreParMatrix &B, IterSolveParameters param);
@@ -115,14 +116,11 @@ public:
/// [ B 0 ]
class SaddleSchwarzSmoother : public Solver
{
const SparseMatrix& agg_hdivdof_;
const SparseMatrix& agg_l2dof_;
const SparseMatrix &agg_hdivdof_, &agg_l2dof_;
OperatorPtr coarse_l2_projector_;
Array<int> offsets_;
mutable Array<int> offsets_loc_;
mutable Array<int> hdivdofs_loc_;
mutable Array<int> l2dofs_loc_;
mutable Array<int> offsets_loc_, hdivdofs_loc_, l2dofs_loc_;
std::vector<OperatorPtr> solvers_loc_;
public:
/** SaddleSchwarzSmoother solves local saddle point problems defined on a
@@ -140,7 +138,7 @@ public:
const SparseMatrix& agg_hdivdof,
const SparseMatrix& agg_l2dof,
const HypreParMatrix& P_l2,
const HypreParMatrix& Q_l2);
const ProductOperator& Q_l2);
void Mult(const Vector &x, Vector &y) const override;
void MultTranspose(const Vector &x, Vector &y) const override { Mult(x, y); }
void SetOperator(const Operator &op) override { }
@@ -178,11 +176,10 @@ class DivFreeSolver : public DarcySolver
OperatorPtr BT_;
BBTSolver BBT_solver_;
std::vector<Array<int>> ops_offsets_;
Array<BlockOperator*> ops_;
Array<BlockOperator*> blk_Ps_;
Array<Solver*> smoothers_;
OperatorPtr prec_;
OperatorPtr solver_;
std::vector<std::unique_ptr<BlockOperator>> ops_;
std::vector<std::unique_ptr<BlockOperator>> blk_Ps_;
std::vector<std::unique_ptr<Solver>> smoothers_;
OperatorPtr prec_, solver_;
void SolveParticular(const Vector& rhs, Vector& sol) const;
void SolveDivFree(const Vector& rhs, Vector& sol) const;
@@ -190,14 +187,11 @@ class DivFreeSolver : public DarcySolver
public:
DivFreeSolver(const HypreParMatrix& M, const HypreParMatrix &B,
const DFSData& data);
~DivFreeSolver();
void Mult(const Vector &x, Vector &y) const override;
void SetOperator(const Operator &op) override { }
int GetNumIterations() const override;
};
} // namespace blocksolvers
} // namespace mfem
} // namespace mfem::blocksolvers
#endif // MFEM_DIVFREE_SOLVER_HPP
+83 -127
View File
@@ -1,69 +1,3 @@
// 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.
//
// ------------------------------------------
// Parallel Low-Order Refined Solvers Miniapp
// ------------------------------------------
//
// This miniapp illustrates the use of low-order refined preconditioners for
// finite element problems defined using H1, H(curl), H(div), or L2 finite
// element spaces. The following problems are solved, depending on the chosen
// finite element space:
//
// H1 and L2: definite Helmholtz problem, u - Delta u = f
// (in L2 discretized using the symmetric interior penalty DG method)
//
// H(curl): definite Maxwell problem, u + curl curl u = f
//
// H(div): grad-div problem, u - grad(div u) = f
//
// In each case, the high-order finite element problem is preconditioned using a
// low-order finite element discretization defined on a Gauss-Lobatto refined
// mesh. The low-order problem is solved using hypre's AMG preconditioners:
// BoomerAMG is used for H1 and L2 problems, AMS is used for H(curl) and 2D
// H(div) problems, and ADS is used for 3D H(div) problems.
//
// For vector finite element spaces, the special "Integrated" basis type is used
// to obtain spectral equivalence between the high-order and low-order refined
// discretizations. This basis is defined in reference [1] and spectral
// equivalence is shown in [2]:
//
// [1]. M. Gerritsma. Edge functions for spectral element methods. Spectral and
// High Order Methods for Partial Differential Equations. (2010)
// [2]. C. Dohrmann. Spectral equivalence properties of higher-order tensor
// product finite elements and applications to preconditioning. (2021)
//
// The action of the high-order operator is computed using MFEM's partial
// assembly/matrix-free algorithms (except in the case of L2, which remains
// future work).
//
// Compile with: make plor_solvers
//
// Sample runs:
//
// mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe h
// mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe n
// mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe r
// mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe l
// mpirun -np 4 plor_solvers -m ../../data/amr-hex.mesh -fe h -rs 0 -o 2
// mpirun -np 4 plor_solvers -m ../../data/star-surf.mesh -fe h
// mpirun -np 4 plor_solvers -m ../../data/star-surf.mesh -fe n
// mpirun -np 4 plor_solvers -m ../../data/star-surf.mesh -fe r
//
// Device sample runs:
// * mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe h -d cuda
// * mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe n -d cuda
// * mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe r -d cuda
// * mpirun -np 4 plor_solvers -m ../../data/fichera.mesh -fe l -d cuda
#include "mfem.hpp"
#include <fstream>
#include <iostream>
@@ -74,54 +8,35 @@
using namespace std;
using namespace mfem;
int main(int argc, char *argv[])
struct Opts
{
Mpi::Init();
Hypre::Init();
const char *mesh_file = "../../data/star.mesh";
int ser_ref_levels = 1, par_ref_levels = 1;
int ser_ref_levels = 1;
int par_ref_levels = 1;
int order = 3;
const char *fe = "h";
const char *device_config = "cpu";
bool visualization = true;
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh", "Mesh file to use.");
args.AddOption(&ser_ref_levels, "-rs", "--refine-serial",
"Number of times to refine the mesh uniformly in serial.");
args.AddOption(&par_ref_levels, "-rp", "--refine-parallel",
"Number of times to refine the mesh uniformly in parallel.");
args.AddOption(&order, "-o", "--order", "Polynomial degree.");
args.AddOption(&fe, "-fe", "--fe-type",
"FE type. h for H1, n for Hcurl, r for Hdiv, l for L2");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
"Enable or disable GLVis visualization.");
args.AddOption(&device_config, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.ParseCheck();
Device device(device_config);
if (Mpi::Root()) { device.Print(); }
};
int Run(const Opts &opts)
{
bool H1 = false, ND = false, RT = false, L2 = false;
if (string(fe) == "h") { H1 = true; }
else if (string(fe) == "n") { ND = true; }
else if (string(fe) == "r") { RT = true; }
else if (string(fe) == "l") { L2 = true; }
if (string(opts.fe) == "h") { H1 = true; }
else if (string(opts.fe) == "n") { ND = true; }
else if (string(opts.fe) == "r") { RT = true; }
else if (string(opts.fe) == "l") { L2 = true; }
else { MFEM_ABORT("Bad FE type. Must be 'h', 'n', 'r', or 'l'."); }
real_t kappa = (order+1)*(order+1); // Penalty used for DG discretizations
const int order = opts.order;
const real_t kappa = (order+1)*(order+1); // Penalty used for DG discretizations
Mesh serial_mesh(mesh_file, 1, 1);
Mesh serial_mesh(opts.mesh_file, 1, 1);
const int dim = serial_mesh.Dimension();
const int sdim = serial_mesh.SpaceDimension();
MFEM_VERIFY(dim == 2 || dim == 3, "Mesh dimension must be 2 or 3.");
MFEM_VERIFY(!L2 || dim == sdim, "DG surface meshes not supported.");
for (int l = 0; l < ser_ref_levels; l++) { serial_mesh.UniformRefinement(); }
for (int l = 0; l < opts.ser_ref_levels; l++) { serial_mesh.UniformRefinement(); }
ParMesh mesh(MPI_COMM_WORLD, serial_mesh);
for (int l = 0; l < par_ref_levels; l++) { mesh.UniformRefinement(); }
for (int l = 0; l < opts.par_ref_levels; l++) { mesh.UniformRefinement(); }
serial_mesh.Clear();
if (mesh.ncmesh && (RT || ND))
@@ -139,6 +54,18 @@ int main(int argc, char *argv[])
else { fec.reset(new L2_FECollection(order, dim, b1)); }
ParFiniteElementSpace fes(&mesh, fec.get());
// fes.GetElementRestriction(ElementDofOrdering::LEXICOGRAPHIC);
{
MFEM_PERF_SCOPE("Ensure Nodes");
mesh.EnsureNodes();
}
// {
// auto &ir = DiffusionIntegrator::GetRule(*fes.GetFE(0), *fes.GetFE(0));
// mesh.GetGeometricFactors(ir, GeometricFactors::JACOBIANS);
// }
HYPRE_Int ndofs = fes.GlobalTrueVSize();
if (Mpi::Root()) { cout << "Number of DOFs: " << ndofs << endl; }
@@ -149,7 +76,7 @@ int main(int argc, char *argv[])
ParBilinearForm a(&fes);
if (H1 || L2)
{
a.AddDomainIntegrator(new MassIntegrator);
// a.AddDomainIntegrator(new MassIntegrator);
a.AddDomainIntegrator(new DiffusionIntegrator);
}
else
@@ -167,7 +94,9 @@ int main(int argc, char *argv[])
// Partial assembly not currently supported for DG or for surface meshes with
// vector finite elements (ND or RT).
if (!L2 && (H1 || sdim == dim)) { a.SetAssemblyLevel(AssemblyLevel::PARTIAL); }
a.Assemble();
// a.Assemble();
ParLinearForm b(&fes);
if (H1 || L2) { b.AddDomainIntegrator(new DomainLFIntegrator(f_coeff)); }
@@ -188,9 +117,13 @@ int main(int argc, char *argv[])
a.FormLinearSystem(ess_dofs, x, b, A, X, B);
unique_ptr<Solver> solv_lor;
if (H1 || L2)
{
solv_lor.reset(new LORSolver<HypreBoomerAMG>(a, ess_dofs));
auto solv = new LORSolver<HypreBoomerAMG>(a, ess_dofs);
solv->GetSolver().SetPrintLevel(0);
solv->GetSolver().Setup(B, X);
solv_lor.reset(solv);
}
else if (RT && dim == 3)
{
@@ -212,30 +145,53 @@ int main(int argc, char *argv[])
a.RecoverFEMSolution(X, b, x);
if (sdim == dim)
{
real_t er =
(H1 || L2) ? x.ComputeL2Error(u_coeff) : x.ComputeL2Error(u_vec_coeff);
if (Mpi::Root()) { cout << "L2 error: " << er << endl; }
}
if (visualization)
{
// Save the solution and mesh to disk. The output can be viewed using
// GLVis as follows: "glvis -np <np> -m mesh -g sol"
x.Save("sol");
mesh.Save("mesh");
// Also save the solution for visualization using ParaView
ParaViewDataCollection dc("PLOR", &mesh);
dc.SetPrefixPath("ParaView");
dc.SetHighOrderOutput(true);
dc.SetLevelsOfDetail(order);
dc.RegisterField("u", &x);
dc.SetCycle(0);
dc.SetTime(0.0);
dc.Save();
}
return 0;
}
int main(int argc, char *argv[])
{
Mpi::Init();
Hypre::Init();
Opts opts;
const char *device_config = "cpu";
OptionsParser args(argc, argv);
args.AddOption(&opts.mesh_file, "-m", "--mesh", "Mesh file to use.");
args.AddOption(&opts.ser_ref_levels, "-rs", "--refine-serial",
"Number of times to refine the mesh uniformly in serial.");
args.AddOption(&opts.par_ref_levels, "-rp", "--refine-parallel",
"Number of times to refine the mesh uniformly in parallel.");
args.AddOption(&opts.order, "-o", "--order", "Polynomial degree.");
args.AddOption(&opts.fe, "-fe", "--fe-type",
"FE type. h for H1, n for Hcurl, r for Hdiv, l for L2");
args.AddOption(&device_config, "-d", "--device",
"Device configuration string, see Device::Configure().");
args.ParseCheck();
Device device(device_config);
if (Mpi::Root()) { device.Print(); }
MFEM_PERF_SYNC(true);
{
MFEM_PERF_SCOPE("Temporary allocations");
Vector tmp1(1024 * 1024 * 1024);
tmp1.ReadWrite();
Vector tmp2(1024 * 1024 * 1024);
tmp2.ReadWrite();
}
{
MFEM_PERF_SCOPE("Hypre allocations");
double *tmp1 = mfem_hypre_CTAlloc(double, 1024 * 1024 * 1024);
double *tmp2 = mfem_hypre_CTAlloc(double, 1024 * 1024 * 1024);
mfem_hypre_TFree(tmp2);
mfem_hypre_TFree(tmp1);
}
MFEM_PERF_DISABLE;
Run(opts);
MFEM_PERF_ENABLE;
Run(opts);
}
+2 -3
View File
@@ -33,8 +33,6 @@
// (2D random field with anisotropy)
// mpirun -np 4 generate_random_field -o 1 -r 3 -rp 3 -nu 4 -l1 0.09 -l2 0.03 -l3 0.05 -s 0.01 -t 0.08 -top 1 -no-rs -m ../../data/ref-square.mesh
#include <math.h>
#include <fstream>
#include <iostream>
#include <string>
#include "mfem.hpp"
@@ -260,7 +258,8 @@ int main(int argc, char *argv[])
// III.3 Solve the SPDE problem
spde::SPDESolver solver(nu, bc, &fespace, l1, l2, l3, e1, e2,
e3);
const int seed = (random_seed) ? 0 : std::numeric_limits<int>::max();
const int seed = (random_seed) ? 0 :
std::numeric_limits<int>::max() - Mpi::WorldRank();
solver.SetupRandomFieldGenerator(seed);
solver.GenerateRandomField(u);
+5 -2
View File
@@ -133,8 +133,11 @@ int main(int argc, char *argv[])
u.Save(sol_ofs);
}
soutv << "keys '.0" << std::string((int)b, '0') << "'\n" << flush;
south << "keys '.0" << std::string((int)a, '0') << "'\n" << flush;
if (visualization)
{
soutv << "keys '.0" << std::string((int)b, '0') << "'\n" << flush;
south << "keys '.0" << std::string((int)a, '0') << "'\n" << flush;
}
cout << "Which direction(s) are the two curves spinning in?\n";
+5 -5
View File
@@ -31,11 +31,6 @@ function(add_benchmark name)
set_property(SOURCE ${${NAME}_BENCH_SRCS} PROPERTY LANGUAGE CUDA)
endif(MFEM_USE_CUDA)
if (MFEM_USE_HIP)
set_property(SOURCE ${${NAME}_BENCH_SRCS} PROPERTY LANGUAGE
HIP_SOURCE_PROPERTY_FORMAT TRUE)
endif(MFEM_USE_HIP)
add_executable(bench_${name} ${${NAME}_BENCH_SRCS})
target_link_libraries(bench_${name} mfem pthread)
add_dependencies(${MFEM_ALL_BENCHMARKS_TARGET_NAME} bench_${name})
@@ -61,3 +56,8 @@ add_benchmark(elasticity)
add_benchmark(tmop)
add_benchmark(vector)
add_benchmark(virtuals)
if (MFEM_USE_MPI)
mfem_add_executable(pbench_ceed pbench_ceed.cpp)
target_link_libraries(pbench_ceed mfem pthread)
endif()
+8
View File
@@ -57,6 +57,14 @@ public:
}
};
// Reporter with no output, used with MPI on non-root ranks.
struct NoReporter : public benchmark::BenchmarkReporter
{
explicit NoReporter() = default;
bool ReportContext(const Context &) override { return true; }
void ReportRuns(const std::vector<Run> &) override {}
};
} // namespace mfem
#endif // MFEM_USE_BENCHMARK
+2 -2
View File
@@ -22,7 +22,7 @@ MFEM_LIB_FILE = mfem_is_not_built
SEQ_TESTS = bench_assembly_levels bench_ceed bench_dg_amr bench_elasticity \
bench_tmop bench_vector bench_virtuals
PAR_TESTS =
PAR_TESTS = pbench_ceed
ifeq ($(MFEM_USE_MPI),NO)
TESTS = $(SEQ_TESTS)
else
@@ -43,7 +43,7 @@ all: $(TESTS)
# Rules for building the TESTS
%: $(SRC)%.cpp $(MFEM_LIB_FILE) $(CONFIG_MK)
$(MFEM_CXX) $(MFEM_FLAGS) $< -o $@ $(MFEM_LIBS)
$(MFEM_CXX) $(MFEM_FLAGS) -I$(MFEM_DIR) $< -o $@ $(MFEM_LIBS)
# Rules for compiling miniapp dependencies
$($(TESTS)): \
+606
View File
@@ -0,0 +1,606 @@
// 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.
// Compile with: make pbench_ceed
//
// Sample runs:
// mpirun -np 4 pbench_ceed
// mpirun -np 4 pbench_ceed --benchmark_filter=BP3
// mpirun -np 4 pbench_ceed --benchmark_filter=BP3 --benchmark_context=local_size=5e4
// mpirun -np 6 pbench_ceed --benchmark_filter=BP3 --benchmark_context=proc_grid=3x2x1,local_size=5e4
//
// Device sample runs:
// mpirun -np 4 pbench_ceed --benchmark_context=device=cuda,local_size=1e6
// mpirun -np 4 pbench_ceed --benchmark_filter=BP3 --benchmark_context=device=cuda,local_size=1e7
//
// Description:
// This benchmark contains the implementation of the CEED's bake-off
// problems, BP1-BP6, and bake-off kernels, BK1-BK6: high-order benchmarks
// designed to test and compare the performance of high-order codes.
//
// See: ceed.exascaleproject.org/bps and github.com/CEED/benchmarks
#include "bench.hpp"
#ifdef MFEM_USE_BENCHMARK
// for instantiating more kernels:
#include <fem/integ/bilininteg_mass_kernels.hpp>
#include <fem/integ/bilininteg_diffusion_kernels.hpp>
// Global parameters
// local_size: desired approximate MPI-local problem size; this local size and
// the polynomial order determine the local mesh size so that the resulting
// problem size is (approximately) equal to local_size for all polynomial
// orders, see MakeParMesh().
double local_size = 61*61*61; // exact size match for all p=1,...,6
// proc_grid: use processor grid given by proc_grid[0,1,2].
int proc_grid[3] = {0,0,0};
// q_gl_inc: increment for the number of GL points: q = p + 1 + q_gl_inc
int q_gl_inc = 0;
// q_gll_inc: increment for the number of GLL points: q = p + 1 + q_gll_inc
int q_gll_inc = 0;
// verbose: verbosity level: 0, 1, 2
int verbose = 0;
// If running on GPU, wait for GPU tasks to finish:
inline void DeviceSync()
{
if (Device::Allows(Backend::DEVICE_MASK & ~Backend::DEBUG_DEVICE))
{
MFEM_STREAM_SYNC;
// MFEM_DEVICE_SYNC;
}
}
void MakeExp2ProcGrid(int np)
{
proc_grid[0] = proc_grid[1] = proc_grid[2] = 1;
for ( ; np >= 8; np /= 8)
{
proc_grid[0] *= 2; proc_grid[1] *= 2; proc_grid[2] *= 2;
}
if (np == 4) { proc_grid[0] *= 2; proc_grid[1] *= 2; }
else if (np == 2) { proc_grid[0] *= 2; }
}
// Construct the parallel mesh based on the polynomial order, p, and the
// local_size:
ParMesh MakeParMesh(int p)
{
int nx = 0, ny = 0, nz = 0;
int par_ref = 0;
if (verbose && Mpi::Root()) { std::cout << _MFEM_FUNC_NAME << std::endl; }
const double s = local_size;
int m = floor((pow(s, 1./3)-1)/p);
double s_l, s_u, s_c;
while ((s_l=( m *p+1)*( m *p+1)*( m *p+1), s_l > s)) { m--; }
m = std::max(m, 1);
while ((s_u=((m+1)*p+1)*((m+1)*p+1)*((m+1)*p+1), s_u <= s)) { m++; }
s_l = (m*p+1)*(m*p+1)*(m*p+1);
if ((s_c=((m+1)*p+1)*(m*p+1)*(m*p+1), s_c > s))
{
if (s/s_l <= s_c/s) { nx = m; ny = m; nz = m; }
else { nx = m; ny = m; nz = m + 1; }
}
else if ((s_l=s_c, s_c=((m+1)*p+1)*((m+1)*p+1)*(m*p+1), s_c > s))
{
if (s/s_l <= s_c/s) { nx = m; ny = m; nz = m + 1; }
else { nx = m; ny = m + 1; nz = m + 1; }
}
else
{
s_l=s_c, s_c=s_u;
if (s/s_l <= s_c/s) { nx = m; ny = m + 1; nz = m + 1; }
else { nx = m + 1; ny = m + 1; nz = m + 1; }
}
while (nx%2 == 0 && ny%2 == 0 && nz%2 == 0)
{
par_ref++;
nx /= 2; ny /= 2; nz /= 2;
}
nx *= proc_grid[0];
ny *= proc_grid[1];
nz *= proc_grid[2];
if (verbose && Mpi::Root())
{
std::cout
<< '\n'
<< " order: " << p << '\n'
<< " nx: " << nx << ", ny: " << ny << ", nz: " << nz << '\n'
<< " px: " << proc_grid[0] << ", py: " << proc_grid[1]
<< ", pz: " << proc_grid[2] << '\n'
<< " par_ref: " << par_ref << '\n'
<< std::endl;
}
StopWatch timer;
timer.Start();
double t_start = timer.RealTime();
Mesh smesh(Mesh::MakeCartesian3D(nx, ny, nz, Element::HEXAHEDRON));
if (verbose && Mpi::Root())
{
double t_elapsed = timer.RealTime() - t_start;
std::cout << " Mesh: " << 1e3*t_elapsed << " ms" << std::endl;
}
t_start = timer.RealTime();
Array<int> partitioning;
partitioning.MakeRef(smesh.CartesianPartitioning(proc_grid), smesh.GetNE(),
MemoryType::HOST, true);
ParMesh pmesh(MPI_COMM_WORLD, smesh, partitioning.HostRead());
smesh.Clear();
for (int i = 0; i < par_ref; i++)
{
pmesh.UniformRefinement();
}
if (verbose && Mpi::Root())
{
double t_elapsed = timer.RealTime() - t_start;
std::cout << " ParMesh: " << 1e3*t_elapsed << " ms" << std::endl;
}
return pmesh;
}
template <int VDIM, bool GLL>
struct BakeOff
{
static constexpr int DIM = 3;
const int p, q, q_order;
ParMesh mesh;
H1_FECollection fec;
ParFiniteElementSpace fes;
const Geometry::Type geom_type;
IntegrationRules irs;
const IntegrationRule *ir;
ConstantCoefficient one;
Vector uvec;
VectorConstantCoefficient unit_vec;
const HYPRE_BigInt dofs;
double mdofs{};
StopWatch timer;
BakeOff(int p):
p(p),
q(GLL ? p + 1 + q_gll_inc : p + 1 + q_gl_inc),
q_order(2 * q + (GLL ? -3 : -1)),
mesh(MakeParMesh(p)),
fec(p, DIM, BasisType::GaussLobatto),
fes(&mesh, &fec, VDIM, VDIM == 3 ? Ordering::byVDIM : Ordering::byNODES),
geom_type(mesh.GetTypicalElementGeometry()),
irs(0, GLL ? Quadrature1D::GaussLobatto : Quadrature1D::GaussLegendre),
ir(&irs.Get(geom_type, q_order)),
one(1.0),
uvec(DIM),
unit_vec((uvec = 1.0, uvec /= uvec.Norml2(), uvec)),
dofs(fes.GlobalTrueVSize())
{
if (verbose && Mpi::Root())
{
std::cout << "q: " << q << ", dofs: " << dofs << std::endl;
// std::cout << _MFEM_FUNC_NAME << std::endl;
}
timer.Start();
}
virtual void benchmark(benchmark::State &state) = 0;
double SumMdofs() const { return mdofs; }
double MDofs() const { return 1e-6 * dofs; }
};
/// Bake-off Problems (BPs)
template <typename BFI, int VDIM, bool GLL>
struct Problem : public BakeOff<VDIM, GLL>
{
const double rtol = 1e-16;
const int max_it = 20;
const int print_lvl = -1;
Array<int> ess_tdof_list;
Array<int> ess_bdr;
ParGridFunction x;
ParBilinearForm a;
LinearForm b;
OperatorPtr A;
Vector B, X;
CGSolver cg;
int bench_call_counter = 0;
using base = BakeOff<VDIM, GLL>;
using base::ir;
using base::one;
using base::mesh;
using base::fes;
using base::mdofs;
using base::timer;
Problem(int order):
BakeOff<VDIM, GLL>(order),
ess_bdr(mesh.bdr_attributes.Max()),
x(&fes),
a(&fes),
b(&fes),
cg(fes.GetComm())
{
if (verbose && Mpi::Root()) { std::cout << _MFEM_FUNC_NAME << std::endl; }
ess_bdr = 1;
x = 0.0;
fes.GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
LinearFormIntegrator *integ;
if (VDIM == 1)
{
integ = new DomainLFIntegrator(this->one);
}
else
{
integ = new VectorDomainLFIntegrator(this->unit_vec);
}
integ->SetIntRule(ir);
b.AddDomainIntegrator(integ); // b takes ownership of integ
b.UseFastAssembly(true);
b.Assemble();
double t_start = timer.RealTime();
a.SetAssemblyLevel(AssemblyLevel::PARTIAL);
a.AddDomainIntegrator(new BFI(one, ir));
a.Assemble();
a.FormLinearSystem(ess_tdof_list, x, b, A, X, B);
if (verbose && Mpi::Root())
{
double t_elapsed = timer.RealTime() - t_start;
std::cout << " assemble a: " << 1e3*t_elapsed << " ms" << std::endl;
}
cg.SetRelTol(rtol);
cg.SetOperator(*A);
cg.SetMaxIter(max_it);
cg.SetPrintLevel(print_lvl);
cg.iterative_mode = false;
// warmup cg
cg.SetMaxIter(2);
cg.Mult(B, X);
cg.SetMaxIter(max_it);
}
virtual ~Problem()
{
if (verbose && Mpi::Root())
{
std::cout << _MFEM_FUNC_NAME << '\n'
<< " call counter: " << bench_call_counter << '\n'
<< " MDofs: " << mdofs << std::endl;
}
}
void benchmark(benchmark::State &state) override
{
if (verbose > 1 && Mpi::Root())
{
std::cout << _MFEM_FUNC_NAME << std::endl;
}
DeviceSync();
MPI_Barrier(cg.GetComm());
double t_start = timer.RealTime();
cg.Mult(B, X);
DeviceSync();
MPI_Barrier(cg.GetComm());
double t_elapsed = timer.RealTime() - t_start;
// Ensure every rank gets the same time, otherwise google-benchmark may
// behave differently on different ranks.
MPI_Bcast(&t_elapsed, 1, MPI_DOUBLE, 0, cg.GetComm());
state.SetIterationTime(t_elapsed);
if (verbose > 1 && Mpi::Root())
{
std::cout << " bench time: " << 1e3*t_elapsed << " ms" << std::endl;
}
mdofs += this->MDofs() * cg.GetNumIterations();
bench_call_counter++;
}
};
/// Bake-off Problems (BPs)
#define BakeOff_Problem(i, Kernel, VDIM, GLL) \
static void BP##i(bm::State &state) \
{ \
Problem<Kernel##Integrator, VDIM, GLL> ker(state.range(0)); \
for (auto z : state) { ker.benchmark(state); } \
state.counters["Num Dofs"] = ker.dofs; \
state.counters["| Dof/s"] = \
bm::Counter(1e6*ker.SumMdofs(), bm::Counter::kIsRate); \
state.counters["| Dof/s/NP"] = \
bm::Counter(1e6*ker.SumMdofs()/ker.fes.GetNRanks(), \
bm::Counter::kIsRate); \
} \
BENCHMARK(BP##i)->DenseRange(1, 6)->Unit(bm::kMillisecond)->UseManualTime();
// state.counters[" Q1D"] = ker.q;
/// BP1: scalar PCG with mass matrix, GL
BakeOff_Problem(1, Mass, 1, false)
/// BP2: vector PCG with mass matrix, GL
BakeOff_Problem(2, VectorMass, 3, false)
/// BP3: scalar PCG with stiffness matrix, GL
BakeOff_Problem(3, Diffusion, 1, false)
/// BP4: vector PCG with stiffness matrix, GL
BakeOff_Problem(4, VectorDiffusion, 3, false)
/// BP5: scalar PCG with stiffness matrix, GLL
BakeOff_Problem(5, Diffusion, 1, true)
/// BP6: vector PCG with stiffness matrix, GLL
BakeOff_Problem(6, VectorDiffusion, 3, true)
/// Bake-off Kernels (BKs)
template <typename BFI, int VDIM, bool GLL>
struct Kernel : public BakeOff<VDIM, GLL>
{
BFI bfi;
Vector x, y; // input and output E-vectors
using base = BakeOff<VDIM, GLL>;
using base::ir;
using base::one;
using base::fes;
using base::mdofs;
using base::timer;
Kernel(int order)
: base(order),
bfi(one, ir)
{
bfi.AssemblePA(fes);
const Table &el2dof = fes.GetElementToDofTable();
const int e_size = el2dof.Size_of_connections()*fes.GetVDim();
x.SetSize(e_size); x.UseDevice(true);
y.SetSize(e_size); y.UseDevice(true);
x.Randomize(1);
x.Read();
// warmup
for (int i = 0; i < 2; i++)
{
y = 0.0;
bfi.AddMultPA(x, y);
}
}
void benchmark(benchmark::State &state) override
{
y = 0.0;
DeviceSync();
MPI_Barrier(fes.GetComm());
double t_start = timer.RealTime();
bfi.AddMultPA(x, y);
DeviceSync();
MPI_Barrier(fes.GetComm());
double t_elapsed = timer.RealTime() - t_start;
// Ensure every rank gets the same time, otherwise google-benchmark may
// behave differently on different ranks.
MPI_Bcast(&t_elapsed, 1, MPI_DOUBLE, 0, fes.GetComm());
state.SetIterationTime(t_elapsed);
mdofs += this->MDofs();
}
};
/// Generic CEED BKi
#define BakeOff_Kernel(i, KER, VDIM, GLL) \
static void BK##i(bm::State &state) \
{ \
Kernel<KER##Integrator, VDIM, GLL> ker(state.range(0)); \
for (auto z : state) { ker.benchmark(state); } \
state.counters["Num Dofs"] = ker.dofs; \
state.counters["| Dof/s"] = \
bm::Counter(1e6*ker.SumMdofs(), bm::Counter::kIsRate); \
state.counters["| Dof/s/NP"] = \
bm::Counter(1e6*ker.SumMdofs()/ker.fes.GetNRanks(), \
bm::Counter::kIsRate); \
} \
BENCHMARK(BK##i)->DenseRange(1, 6)->Unit(bm::kMillisecond)->UseManualTime();
// state.counters[" Q1D"] = ker.q;
/// BK1: scalar E-vector-to-E-vector evaluation of mass matrix, GL
BakeOff_Kernel(1, Mass, 1, false)
/// BK2: vector E-vector-to-E-vector evaluation of mass matrix, GL
BakeOff_Kernel(2, VectorMass, 3, false)
/// BK3: scalar E-vector-to-E-vector evaluation of stiffness matrix, GL
BakeOff_Kernel(3, Diffusion, 1, false)
/// BK4: vector E-vector-to-E-vector evaluation of stiffness matrix, GL
BakeOff_Kernel(4, VectorDiffusion, 3, false)
/// BK5: scalar E-vector-to-E-vector evaluation of stiffness matrix, GLL
BakeOff_Kernel(5, Diffusion, 1, true)
/// BK6: vector E-vector-to-E-vector evaluation of stiffness matrix, GLL
BakeOff_Kernel(6, VectorDiffusion, 3, true)
int main(int argc, char *argv[])
{
// MassIntegrator specializations by <DIM, D1D, Q1D>
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>();
// DiffusionIntegrator specializations by <DIM, D1D, Q1D>
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>();
Mpi::Init();
Hypre::Init();
bm::Initialize(&argc, argv);
// Device setup, cpu by default
std::string device_config = "cpu";
bool gpu_aware_mpi = false;
std::string proc_grid_str = "";
auto global_context = bmi::GetGlobalContext();
if (global_context != nullptr)
{
const auto device = global_context->find("device");
if (device != global_context->end())
{
device_config = device->second;
}
const auto ctx_gpu_aware_mpi = global_context->find("gpu_aware_mpi");
if (ctx_gpu_aware_mpi != global_context->end())
{
gpu_aware_mpi = std::atoi(ctx_gpu_aware_mpi->second.c_str());
}
const auto ctx_local_size = global_context->find("local_size");
if (ctx_local_size != global_context->end())
{
std::size_t pos;
local_size = std::stof(ctx_local_size->second, &pos);
if (ctx_local_size->second.size() != pos)
{
if (Mpi::Root())
{
std::cout << "\nerror reading local_size: "
<< ctx_local_size->second << '\n' << std::endl;
}
return 1;
}
if (local_size < 64.0 || local_size > std::exp2(30.0))
{
if (Mpi::Root())
{
std::cout << "\nlocal_size must be in [2^6,2^30]! local_size: "
<< local_size << '\n' << std::endl;
}
return 1;
}
}
const auto ctx_proc_grid = global_context->find("proc_grid");
if (ctx_proc_grid != global_context->end())
{
proc_grid_str = ctx_proc_grid->second;
}
const auto ctx_verbose = global_context->find("verbose");
if (ctx_verbose != global_context->end())
{
verbose = std::atoi(ctx_verbose->second.c_str());
}
}
const int num_procs = Mpi::WorldSize();
if (proc_grid_str == "" || proc_grid_str == "2^n")
{
if (((num_procs-1)&num_procs) != 0)
{
if (Mpi::Root())
{
std::cout << "\nthe number of processors is not a power of 2!"
<< " num_procs: " << num_procs
<< "\nuse a processor grid, e.g. "
<< "--benchmark_context=proc_grid=3x5x7\n"
<< std::endl;
}
return 1;
}
MakeExp2ProcGrid(num_procs);
}
else
{
int n = std::sscanf(proc_grid_str.c_str(), "%d x %d x %d",
&proc_grid[0], &proc_grid[1], &proc_grid[2]);
if (n != 3)
{
if (Mpi::Root())
{
std::cout << "\ninvalid processor grid input: "
<< proc_grid_str << "\n" << std::endl;
}
return 1;
}
if (proc_grid[0]*proc_grid[1]*proc_grid[2] != num_procs ||
proc_grid[0] < 1 || proc_grid[1] < 1 || proc_grid[2] < 1)
{
if (Mpi::Root())
{
std::cout << "\ninvalid processor grid: " << proc_grid[0] << " x "
<< proc_grid[1] << " x " << proc_grid[2] << " != "
<< num_procs << '\n' << std::endl;
}
return 1;
}
}
if (bm::ReportUnrecognizedArguments(argc, argv)) { return 1; }
Device device(device_config.c_str());
device.SetGPUAwareMPI(gpu_aware_mpi);
if (Mpi::Root())
{
device.Print();
std::cout << " num procs: " << num_procs << std::endl;
std::cout << "gpu aware mpi: " << gpu_aware_mpi << std::endl;
std::cout << " local size: " << local_size << std::endl;
std::cout << " proc grid: " << proc_grid[0] << 'x'
/**/ << proc_grid[1] << 'x'
/**/ << proc_grid[2] << std::endl;
std::cout << " GL q_inc: " << q_gl_inc << std::endl;
std::cout << " GLL q_inc: " << q_gll_inc << std::endl;
}
DeviceSync();
MPI_Barrier(MPI_COMM_WORLD);
if (Mpi::Root())
{
bm::ConsoleReporter CR;
bm::RunSpecifiedBenchmarks(&CR);
}
else
{
NoReporter NR;
bm::RunSpecifiedBenchmarks(&NR);
}
return 0;
}
#endif // MFEM_USE_BENCHMARK
+80 -45
View File
@@ -179,25 +179,42 @@ if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
endif()
#-----------------------------------------------------------
# SERIAL CUDA TESTS: cunit_tests
# SERIAL CUDA TESTS: gpu_unit_tests
#-----------------------------------------------------------
# Create CUDA 'cunit_tests' executable and test
# Create CUDA executable and test
if (MFEM_USE_CUDA)
set(CUNIT_TESTS_SRCS cunit_test_main.cpp)
set_property(SOURCE ${CUNIT_TESTS_SRCS} PROPERTY LANGUAGE CUDA)
mfem_add_executable(cunit_tests ${CUNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
target_link_libraries(cunit_tests mfem)
add_dependencies(cunit_tests copy_data)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} cunit_tests)
# gpu_unit_tests
set(GPU_UNIT_TESTS_SRCS gpu_unit_test_main.cpp)
set_property(SOURCE ${GPU_UNIT_TESTS_SRCS} PROPERTY LANGUAGE CUDA)
mfem_add_executable(gpu_unit_tests ${GPU_UNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
target_link_libraries(gpu_unit_tests mfem)
add_dependencies(gpu_unit_tests copy_data)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} gpu_unit_tests)
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME cunit_tests COMMAND cunit_tests)
add_test(NAME gpu_unit_tests COMMAND gpu_unit_tests)
endif()
endif()
#-----------------------------------------------------------
# SERIAL HIP TESTS: gpu_unit_tests
#-----------------------------------------------------------
# Create HIP 'gpu_unit_tests' executable and test
if (MFEM_USE_HIP)
# gpu_unit_tests
set(GPU_UNIT_TESTS_SRCS gpu_unit_test_main.cpp)
mfem_add_executable(gpu_unit_tests ${GPU_UNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
target_link_libraries(gpu_unit_tests mfem)
add_dependencies(gpu_unit_tests copy_data)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} gpu_unit_tests)
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME gpu_unit_tests COMMAND gpu_unit_tests)
endif()
endif()
#-----------------------------------------------------------
# SERIAL SEDOV + TMOP TESTS:
# sedov_tests_{cpu,debug,cuda,cuda_uvm}
# tmop_pa_tests_{cpu,debug,cuda}
# sedov_tests_{cpu,debug,gpu,gpu_uvm}
# tmop_pa_tests_{cpu,debug,gpu}
#-----------------------------------------------------------
# Function to add one device serial test from the tests/unit/miniapp directory.
# All device unit tests are built into a separate executable, in order to be
@@ -226,27 +243,27 @@ function(add_serial_miniapp_test name test_uvm)
add_test(NAME ${name}_tests_debug COMMAND ${name}_tests_debug)
endif()
if (MFEM_USE_CUDA)
mfem_add_executable(${name}_tests_cuda ${${NAME}_TESTS_SRCS})
target_compile_definitions(${name}_tests_cuda PUBLIC MFEM_${NAME}_DEVICE="cuda")
target_link_libraries(${name}_tests_cuda mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} ${name}_tests_cuda)
if (MFEM_USE_CUDA OR MFEM_USE_HIP)
mfem_add_executable(${name}_tests_gpu ${${NAME}_TESTS_SRCS})
target_compile_definitions(${name}_tests_gpu PUBLIC MFEM_${NAME}_DEVICE="gpu")
target_link_libraries(${name}_tests_gpu mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} ${name}_tests_gpu)
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME ${name}_tests_cuda COMMAND ${name}_tests_cuda)
add_test(NAME ${name}_tests_gpu COMMAND ${name}_tests_gpu)
endif()
if (test_uvm)
mfem_add_executable(${name}_tests_cuda_uvm ${${NAME}_TESTS_SRCS})
target_compile_definitions(${name}_tests_cuda_uvm PUBLIC
MFEM_${NAME}_DEVICE="cuda:uvm")
target_link_libraries(${name}_tests_cuda_uvm mfem)
mfem_add_executable(${name}_tests_gpu_uvm ${${NAME}_TESTS_SRCS})
target_compile_definitions(${name}_tests_gpu_uvm PUBLIC
MFEM_${NAME}_DEVICE="gpu:uvm")
target_link_libraries(${name}_tests_gpu_uvm mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME}
${name}_tests_cuda_uvm)
${name}_tests_gpu_uvm)
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME ${name}_tests_cuda_uvm COMMAND ${name}_tests_cuda_uvm)
add_test(NAME ${name}_tests_gpu_uvm COMMAND ${name}_tests_gpu_uvm)
endif()
endif()
endif(MFEM_USE_CUDA)
endif()
endfunction(add_serial_miniapp_test)
add_serial_miniapp_test(sedov ON) # UVM ON
@@ -282,10 +299,11 @@ if (MFEM_USE_CEED)
endif()
#-----------------------------------------------------------
# PARALLEL CPU AND CUDA TESTS: {p,pc}unit_tests
# PARALLEL CPU AND CUDA TESTS: {p,pc}unit_tests and pgpu_unit_tests
#-----------------------------------------------------------
# Define executables and tests 'punit_tests' and 'pcunit_tests'
# Define executables and tests
if (MFEM_USE_MPI)
# punit_tests
if (MFEM_USE_CUDA)
set_property(SOURCE punit_test_main.cpp PROPERTY LANGUAGE CUDA)
endif()
@@ -301,27 +319,44 @@ if (MFEM_USE_MPI)
endif()
endforeach()
if (MFEM_USE_CUDA)
set(PCUNIT_TESTS_SRCS pcunit_test_main.cpp)
set_property(SOURCE ${PCUNIT_TESTS_SRCS} PROPERTY LANGUAGE CUDA)
mfem_add_executable(pcunit_tests ${PCUNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
add_dependencies(pcunit_tests copy_data)
target_link_libraries(pcunit_tests mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} pcunit_tests)
foreach(np 1 ${MFEM_MPI_NP})
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME pcunit_tests_np=${np}
COMMAND ${MPIEXEC} ${MPIEXEC_NUMPROC_FLAG} ${np}
${MPIEXEC_PREFLAGS} $<TARGET_FILE:pcunit_tests>
${MPIEXEC_POSTFLAGS})
endif()
endforeach()
# pgpu_unit_tests
set(PGPU_UNIT_TESTS_SRCS pgpu_unit_test_main.cpp)
set_property(SOURCE ${PGPU_UNIT_TESTS_SRCS} PROPERTY LANGUAGE CUDA)
mfem_add_executable(pgpu_unit_tests ${PGPU_UNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
add_dependencies(pgpu_unit_tests copy_data)
target_link_libraries(pgpu_unit_tests mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} pgpu_unit_tests)
foreach(np 1 ${MFEM_MPI_NP})
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME pgpu_unit_tests_np=${np}
COMMAND ${MPIEXEC} ${MPIEXEC_NUMPROC_FLAG} ${np}
${MPIEXEC_PREFLAGS} $<TARGET_FILE:pgpu_unit_tests>
${MPIEXEC_POSTFLAGS})
endif()
endforeach()
endif()
if (MFEM_USE_HIP)
# pgpu_unit_tests
set(PGPU_UNIT_TESTS_SRCS pgpu_unit_test_main.cpp)
mfem_add_executable(pgpu_unit_tests ${PGPU_UNIT_TESTS_SRCS} ${UNIT_TESTS_SRCS})
add_dependencies(pgpu_unit_tests copy_data)
target_link_libraries(pgpu_unit_tests mfem)
add_dependencies(${MFEM_ALL_TESTS_TARGET_NAME} pgpu_unit_tests)
foreach(np 1 ${MFEM_MPI_NP})
if (MFEM_USE_DOUBLE) # otherwise returns MFEM_SKIP_RETURN_VALUE
add_test(NAME pgpu_unit_tests_np=${np}
COMMAND ${MPIEXEC} ${MPIEXEC_NUMPROC_FLAG} ${np}
${MPIEXEC_PREFLAGS} $<TARGET_FILE:pgpu_unit_tests>
${MPIEXEC_POSTFLAGS})
endif()
endforeach()
endif()
endif(MFEM_USE_MPI)
#-----------------------------------------------------------
# PARALLEL SEDOV + TMOP TESTS:
# psedov_tests_{cpu,debug,cuda,cuda_uvm}
# ptmop_pa_tests_{cpu,cuda}
# psedov_tests_{cpu,debug,gpu,gpu_uvm}
# ptmop_pa_tests_{cpu,gpu}
#-----------------------------------------------------------
# Function to add one MPI executable for a test.
function(add_mpi_executable_test name dev)
@@ -371,10 +406,10 @@ function(add_parallel_miniapp_test name HYPRE_MM)
list(APPEND backends debug)
endif()
endif()
if (MFEM_USE_CUDA)
list(APPEND backends cuda)
if (MFEM_USE_CUDA OR MFEM_USE_HIP)
list(APPEND backends gpu)
if (HYPRE_MM)
list(APPEND backends cuda_uvm)
list(APPEND backends gpu_uvm)
endif()
endif()

Some files were not shown because too many files have changed in this diff Show More