Fix distributed vector merge #1030
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
ginkgo-bot
added
mod:all
|
format! |
Co-authored-by: Tobias Ribizel <ribizel@kit.edu> Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
Co-authored-by: Tobias Ribizel <ribizel@kit.edu> Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
Co-authored-by: Marcel Koch <marcel.koch@kit.edu>
the user has to set the cmake variable GINKGO_FORCE_GPU_AWARE_MPI to a true value, to enable this behavior. If not set, additional transfers to the host are used. Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
- change build_local reference + omp implementation - add build_local omp kernel test - add vector constructor with explicit stride Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu> Co-authored-by: Tobias Ribizel <ribizel@kit.edu>
Co-authored-by: Tobias Ribizel <ribizel@kit.edu>
for now, no functionality (except reading/consistency checking) depends on the partition, so there is no point in storing it. Regarding the consistency check: we can ignore that for the moment, since we have to use a pointer comparison to check for equality, which is not sufficient for the general use case.
Co-authored-by: Marcel Koch <marcel.koch@kit.edu>
- adds tests - updates some documentation - moves mutability into DenseCache - reuses already allocated memory for read if available Co-authored-by: Tobias Ribizel <ribizel@kit.edu> Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
- formating - test updates - documentation Co-authored-by: Tobias Ribizel <ribizel@kit.edu> Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
will be superseeded by #753
- small rename - documentation - cmake - tests Co-authored-by: Yuhsiang Tsai <yhmtsai@gmail.com>
Co-authored-by: Yuhsiang Tsai <yhmtsai@gmail.com> Co-authored-by: Tobias Ribizel <ribizel@kit.edu>
- formating - fix DenseCache::init_from - fix tests if comm.size != 3 Co-authored-by: Yuhsiang Tsai <yhmtsai@gmail.com>
this adds in turn mutable access through get_local_values and at_local Co-authored-by: Tobias Ribizel <ribizel@kit.edu>
MarcelKoch
force-pushed
the
distributed-vector
branch
from
44a9895
to
ca07957
Compare
Co-authored-by: Marcel Koch <marcel.koch@kit.edu>
|
Note: This PR changes the Ginkgo ABI: For details check the full ABI diff under Artifacts here |
|
Kudos, SonarCloud Quality Gate passed!
|
MarcelKoch
added a commit
that referenced
this pull request
May 4, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
May 23, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Jun 2, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Jul 8, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Aug 16, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Oct 5, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Oct 26, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Oct 31, 2022
This PR adds support for a (row-wise) distributed (multi-)vector. It supports most operation of the dense class. These vector operations are supported on all devices that support the corresponding dense operation. Only the initialization through `read_distributed` is only supported on reference and openmp. Related PR: #961 Related PR: #1030
MarcelKoch
added a commit
that referenced
this pull request
Oct 31, 2022
This PR will add basic, distributed data structures (matrix and vector), and enable some solvers for these types. This PR contains the following PRs: - #961 - #971 - #976 - #985 - #1007 - #1030 - #1054 # Additional Changes - moves new types into experimental namespace - moves existing Partition class into experimental namespace - moves existing mpi namespace into experimental namespace - makes generic_scoped_device_id_guard destructor noexcept by terminating if restoring the original device id fails - switches to blocking communication in the SpMV if OpenMPI version 4.0.x is used - disables Horeka mpi tests and uses nla-gpu instead Related PR: #1133
tcojean
added a commit
that referenced
this pull request
Nov 12, 2022
Advertise release 1.5.0 and last changes + Add changelog, + Update third party libraries + A small fix to a CMake file See PR: #1195 The Ginkgo team is proud to announce the new Ginkgo minor release 1.5.0. This release brings many important new features such as: - MPI-based multi-node support for all matrix formats and most solvers; - full DPC++/SYCL support, - functionality and interface for GPU-resident sparse direct solvers, - an interface for wrapping solvers with scaling and reordering applied, - a new algebraic Multigrid solver/preconditioner, - improved mixed-precision support, - support for device matrix assembly, and much more. If you face an issue, please first check our [known issues page](https://github.com/ginkgo-project/ginkgo/wiki/Known-Issues) and the [open issues list](https://github.com/ginkgo-project/ginkgo/issues) and if you do not find a solution, feel free to [open a new issue](https://github.com/ginkgo-project/ginkgo/issues/new/choose) or ask a question using the [github discussions](https://github.com/ginkgo-project/ginkgo/discussions). Supported systems and requirements: + For all platforms, CMake 3.13+ + C++14 compliant compiler + Linux and macOS + GCC: 5.5+ + clang: 3.9+ + Intel compiler: 2018+ + Apple LLVM: 8.0+ + NVHPC: 22.7+ + Cray Compiler: 14.0.1+ + CUDA module: CUDA 9.2+ or NVHPC 22.7+ + HIP module: ROCm 4.0+ + DPC++ module: Intel OneAPI 2021.3 with oneMKL and oneDPL. Set the CXX compiler to `dpcpp`. + Windows + MinGW and Cygwin: GCC 5.5+ + Microsoft Visual Studio: VS 2019 + CUDA module: CUDA 9.2+, Microsoft Visual Studio + OpenMP module: MinGW or Cygwin. Algorithm and important feature additions: + Add MPI-based multi-node for all matrix formats and solvers (except GMRES and IDR). ([#676](#676), [#908](#908), [#909](#909), [#932](#932), [#951](#951), [#961](#961), [#971](#971), [#976](#976), [#985](#985), [#1007](#1007), [#1030](#1030), [#1054](#1054), [#1100](#1100), [#1148](#1148)) + Porting the remaining algorithms (preconditioners like ISAI, Jacobi, Multigrid, ParILU(T) and ParIC(T)) to DPC++/SYCL, update to SYCL 2020, and improve support and performance ([#896](#896), [#924](#924), [#928](#928), [#929](#929), [#933](#933), [#943](#943), [#960](#960), [#1057](#1057), [#1110](#1110), [#1142](#1142)) + Add a Sparse Direct interface supporting GPU-resident numerical LU factorization, symbolic Cholesky factorization, improved triangular solvers, and more ([#957](#957), [#1058](#1058), [#1072](#1072), [#1082](#1082)) + Add a ScaleReordered interface that can wrap solvers and automatically apply reorderings and scalings ([#1059](#1059)) + Add a Multigrid solver and improve the aggregation based PGM coarsening scheme ([#542](#542), [#913](#913), [#980](#980), [#982](#982), [#986](#986)) + Add infrastructure for unified, lambda-based, backend agnostic, kernels and utilize it for some simple kernels ([#833](#833), [#910](#910), [#926](#926)) + Merge different CUDA, HIP, DPC++ and OpenMP tests under a common interface ([#904](#904), [#973](#973), [#1044](#1044), [#1117](#1117)) + Add a device_matrix_data type for device-side matrix assembly ([#886](#886), [#963](#963), [#965](#965)) + Add support for mixed real/complex BLAS operations ([#864](#864)) + Add a FFT LinOp for all but DPC++/SYCL ([#701](#701)) + Add FBCSR support for NVIDIA and AMD GPUs and CPUs with OpenMP ([#775](#775)) + Add CSR scaling ([#848](#848)) + Add array::const_view and equivalent to create constant matrices from non-const data ([#890](#890)) + Add a RowGatherer LinOp supporting mixed precision to gather dense matrix rows ([#901](#901)) + Add mixed precision SparsityCsr SpMV support ([#970](#970)) + Allow creating CSR submatrix including from (possibly discontinuous) index sets ([#885](#885), [#964](#964)) + Add a scaled identity addition (M <- aI + bM) feature interface and impls for Csr and Dense ([#942](#942)) Deprecations and important changes: + Deprecate AmgxPgm in favor of the new Pgm name. ([#1149](#1149)). + Deprecate specialized residual norm classes in favor of a common `ResidualNorm` class ([#1101](#1101)) + Deprecate CamelCase non-polymorphic types in favor of snake_case versions (like array, machine_topology, uninitialized_array, index_set) ([#1031](#1031), [#1052](#1052)) + Bug fix: restrict gko::share to rvalue references (*possible interface break*) ([#1020](#1020)) + Bug fix: when using cuSPARSE's triangular solvers, specifying the factory parameter `num_rhs` is now required when solving for more than one right-hand side, otherwise an exception is thrown ([#1184](#1184)). + Drop official support for old CUDA < 9.2 ([#887](#887)) Improved performance additions: + Reuse tmp storage in reductions in solvers and add a mutable workspace to all solvers ([#1013](#1013), [#1028](#1028)) + Add HIP unsafe atomic option for AMD ([#1091](#1091)) + Prefer vendor implementations for Dense dot, conj_dot and norm2 when available ([#967](#967)). + Tuned OpenMP SellP, COO, and ELL SpMV kernels for a small number of RHS ([#809](#809)) Fixes: + Fix various compilation warnings ([#1076](#1076), [#1183](#1183), [#1189](#1189)) + Fix issues with hwloc-related tests ([#1074](#1074)) + Fix include headers for GCC 12 ([#1071](#1071)) + Fix for simple-solver-logging example ([#1066](#1066)) + Fix for potential memory leak in Logger ([#1056](#1056)) + Fix logging of mixin classes ([#1037](#1037)) + Improve value semantics for LinOp types, like moved-from state in cross-executor copy/clones ([#753](#753)) + Fix some matrix SpMV and conversion corner cases ([#905](#905), [#978](#978)) + Fix uninitialized data ([#958](#958)) + Fix CUDA version requirement for cusparseSpSM ([#953](#953)) + Fix several issues within bash-script ([#1016](#1016)) + Fixes for `NVHPC` compiler support ([#1194](#1194)) Other additions: + Simplify and properly name GMRES kernels ([#861](#861)) + Improve pkg-config support for non-CMake libraries ([#923](#923), [#1109](#1109)) + Improve gdb pretty printer ([#987](#987), [#1114](#1114)) + Add a logger highlighting inefficient allocation and copy patterns ([#1035](#1035)) + Improved and optimized test random matrix generation ([#954](#954), [#1032](#1032)) + Better CSR strategy defaults ([#969](#969)) + Add `move_from` to `PolymorphicObject` ([#997](#997)) + Remove unnecessary device_guard usage ([#956](#956)) + Improvements to the generic accessor for mixed-precision ([#727](#727)) + Add a naive lower triangular solver implementation for CUDA ([#764](#764)) + Add support for int64 indices from CUDA 11 onward with SpMV and SpGEMM ([#897](#897)) + Add a L1 norm implementation ([#900](#900)) + Add reduce_add for arrays ([#831](#831)) + Add utility to simplify Dense View creation from an existing Dense vector ([#1136](#1136)). + Add a custom transpose implementation for Fbcsr and Csr transpose for unsupported vendor types ([#1123](#1123)) + Make IDR random initilization deterministic ([#1116](#1116)) + Move the algorithm choice for triangular solvers from Csr::strategy_type to a factory parameter ([#1088](#1088)) + Update CUDA archCoresPerSM ([#1175](#1116)) + Add kernels for Csr sparsity pattern lookup ([#994](#994)) + Differentiate between structural and numerical zeros in Ell/Sellp ([#1027](#1027)) + Add a binary IO format for matrix data ([#984](#984)) + Add a tuple zip_iterator implementation ([#966](#966)) + Simplify kernel stubs and declarations ([#888](#888)) + Simplify GKO_REGISTER_OPERATION with lambdas ([#859](#859)) + Simplify copy to device in tests and examples ([#863](#863)) + More verbose output to array assertions ([#858](#858)) + Allow parallel compilation for Jacobi kernels ([#871](#871)) + Change clang-format pointer alignment to left ([#872](#872)) + Various improvements and fixes to the benchmarking framework ([#750](#750), [#759](#759), [#870](#870), [#911](#911), [#1033](#1033), [#1137](#1137)) + Various documentation improvements ([#892](#892), [#921](#921), [#950](#950), [#977](#977), [#1021](#1021), [#1068](#1068), [#1069](#1069), [#1080](#1080), [#1081](#1081), [#1108](#1108), [#1153](#1153), [#1154](#1154)) + Various CI improvements ([#868](#868), [#874](#874), [#884](#884), [#889](#889), [#899](#899), [#903](#903), [#922](#922), [#925](#925), [#930](#930), [#936](#936), [#937](#937), [#958](#958), [#882](#882), [#1011](#1011), [#1015](#1015), [#989](#989), [#1039](#1039), [#1042](#1042), [#1067](#1067), [#1073](#1073), [#1075](#1075), [#1083](#1083), [#1084](#1084), [#1085](#1085), [#1139](#1139), [#1178](#1178), [#1187](#1187))
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR redoes PR #961. At some point I rebased
distributed-developon a newer version ofdevelop, but I forgot to use the--rebase-mergesoption, which removed the merge message from #961. I don't think anything other than #961 has been merged intodistributed-developyet. I will merge this without waiting for reviews or tests, because I have not changed anything from the old PR. If that is not ok, please comment.I apologize for the inconvenience this may cause.