Adds distributed support for several solvers #976
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
9fb7ce5 to
1341500
Compare
a9b37cb to
4acb343
Compare
dbffde7 to
9122166
Compare
4acb343 to
cdd5bf9
Compare
9122166 to
4f09d10
Compare
8 tasks
cdd5bf9 to
d98f4b1
Compare
dfbfb8a to
d050278
Compare
cd61a1d to
a293a5a
Compare
1dc6d94 to
d923dbf
Compare
a26e06d to
77a0638
Compare
b432578 to
3b13196
Compare
tcojean
approved these changes
Aug 26, 2022
Co-authored-by: Terry Cojean <terry.cojean@kit.edu>
Co-authored-by: Terry Cojean <terry.cojean@kit.edu>
- documentation - simplified any_is_complex check - move is_distributed Co-authored-by: Terry Cojean <terry.cojean@kit.edu> Co-authored-by: Pratik Nayak <pratik.nayak@kit.edu>
|
format! |
Co-authored-by: Marcel Koch <marcel.koch@kit.edu>
previously this could lead to divergence between the processes and subsequent deadlocks
tcojean
approved these changes
Sep 23, 2022
core/solver/bicg.cpp
Outdated
| @@ -42,6 +42,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |||
| #include <ginkgo/core/base/utils.hpp> | |||
|
|
|||
|
|
|||
| #include "core/distributed/helpers.hpp" | |||
include/ginkgo/core/solver/bicg.hpp
Outdated
Comment on lines
129
to
130
| void apply_dense_impl(const gko::matrix::Dense<ValueType>* b, | ||
| gko::matrix::Dense<ValueType>* x) const; |
Comment on lines
-128
to
-132
| #include <ginkgo/core/solver/lower_trs.hpp> | ||
| #include <ginkgo/core/solver/multigrid.hpp> | ||
| #include <ginkgo/core/solver/solver_base.hpp> | ||
| #include <ginkgo/core/solver/solver_traits.hpp> | ||
| #include <ginkgo/core/solver/upper_trs.hpp> |
There was a problem hiding this comment.
These are moved to triangular.hpp in develop, after rebasing that one should be here.
There was a problem hiding this comment.
I don't think I will rebase this PR or #1054, so I will fix it
fritzgoebel
approved these changes
Sep 26, 2022
core/solver/idr.cpp
Outdated
| @@ -42,6 +42,8 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |||
| #include <ginkgo/core/solver/solver_base.hpp> | |||
|
|
|||
|
|
|||
| #include "core/components/fill_array_kernels.hpp" | |||
There was a problem hiding this comment.
I think this is unused
Comment on lines
-128
to
-132
| #include <ginkgo/core/solver/lower_trs.hpp> | ||
| #include <ginkgo/core/solver/multigrid.hpp> | ||
| #include <ginkgo/core/solver/solver_base.hpp> | ||
| #include <ginkgo/core/solver/solver_traits.hpp> | ||
| #include <ginkgo/core/solver/upper_trs.hpp> |
There was a problem hiding this comment.
These are moved to triangular.hpp in develop, after rebasing that one should be here.
- remove unnecessary includes Co-authored-by: Terry Cojean <terry.cojean@kit.edu> Co-authored-by: Fritz Goebel <fritz.goebel@kit.edu>
|
format! |
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 |
MarcelKoch
added a commit
that referenced
this pull request
Oct 5, 2022
This PR will enable using distributed matrices and vector (#971 and #961) in the following iterative solvers: - Bicgstab - Cg - Cgs - Fcg - Ir Currently not supported are: - Bicg - [cb_]Gmres - Idr - Multigrid - Lower/Upper_trs The handling of the distributed/non-distributed data is done via additional dispatch routines that expand on precision_dispatch_real_complex, and helper routines to extract the underlying dense matrix from either a distributed or dense vector. Also, the residual norm stopping criteria implementation has been changed to also use a similar dispatch approach. This also contains some fixes regarding the doxygen documentation for the other distributed classes. Related PR: #976
MarcelKoch
added a commit
that referenced
this pull request
Oct 26, 2022
This PR will enable using distributed matrices and vector (#971 and #961) in the following iterative solvers: - Bicgstab - Cg - Cgs - Fcg - Ir Currently not supported are: - Bicg - [cb_]Gmres - Idr - Multigrid - Lower/Upper_trs The handling of the distributed/non-distributed data is done via additional dispatch routines that expand on precision_dispatch_real_complex, and helper routines to extract the underlying dense matrix from either a distributed or dense vector. Also, the residual norm stopping criteria implementation has been changed to also use a similar dispatch approach. This also contains some fixes regarding the doxygen documentation for the other distributed classes. Related PR: #976
MarcelKoch
added a commit
that referenced
this pull request
Oct 31, 2022
This PR will enable using distributed matrices and vector (#971 and #961) in the following iterative solvers: - Bicgstab - Cg - Cgs - Fcg - Ir Currently not supported are: - Bicg - [cb_]Gmres - Idr - Multigrid - Lower/Upper_trs The handling of the distributed/non-distributed data is done via additional dispatch routines that expand on precision_dispatch_real_complex, and helper routines to extract the underlying dense matrix from either a distributed or dense vector. Also, the residual norm stopping criteria implementation has been changed to also use a similar dispatch approach. This also contains some fixes regarding the doxygen documentation for the other distributed classes. Related PR: #976
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 will enable using distributed matrices and vector (#971 and #961) in the following iterative solvers:
BicgCurrently not supported are:
With the changes in #861 it should be possible to also enable distributed systems for [cb_]gmres. I've not look into Idr too much, but I guess the issue there is that reductions are merged with other operations into one kernel launch and thus can't use global communication.
The handling of the distributed/non-distributed data is done via additional dispatch routines that expand on
precision_dispatch_real_complex, and helper routines to extract the underlying dense matrix from either a distributed or dense vector. Also, the residual norm stopping criteria implementation has been changed to also use a similar dispatch approach.This also contains some fixes regarding the doxygen documentation for the other distributed classes, which I will not add to the previous PRs.
Partially addresses #907.
Todos:
add Idrpostponed for nowMain contributions are from @upsj and @pratikvn.