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@tcojean tcojean released this 16 Jun 11:16
· 6159 commits to develop since this release
v1.6.0
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The Ginkgo team is proud to announce the new Ginkgo minor release 1.6.0. This release brings new features such as:

  • Several building blocks for GPU-resident sparse direct solvers like symbolic
    and numerical LU and Cholesky factorization, ...,
  • A distributed Schwarz preconditioner,
  • New FGMRES and GCR solvers,
  • Distributed benchmarks for the SpMV operation, solvers, ...
  • Support for non-default streams in the CUDA and HIP backends,
  • Mixed precision support for the CSR SpMV,
  • A new profiling logger which integrates with NVTX, ROCTX, TAU and VTune to
    provide internal Ginkgo knowledge to most HPC profilers!

and much more.

If you face an issue, please first check our known issues page and the open issues list and if you do not find a solution, feel free to open a new issue or ask a question using the github 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 Clang: 14.0 is tested. Earlier versions might also work.
    • NVHPC: 22.7+
    • Cray Compiler: 14.0.1+
    • CUDA module: CUDA 9.2+ or NVHPC 22.7+
    • HIP module: ROCm 4.5+
    • DPC++ module: Intel OneAPI 2021.3+ with oneMKL and oneDPL. Set the CXX compiler to dpcpp.
  • Windows
    • MinGW: GCC 5.5+
    • Microsoft Visual Studio: VS 2019+
    • CUDA module: CUDA 9.2+, Microsoft Visual Studio
    • OpenMP module: MinGW.

Version Support Changes

  • ROCm 4.0+ -> 4.5+ after #1303
  • Removed Cygwin pipeline and support #1283

Interface Changes

  • Due to internal changes, ConcreteExecutor::run will now always throw if the corresponding module for the ConcreteExecutor is not build #1234
  • The constructor of experimental::distributed::Vector was changed to only accept local vectors as std::unique_ptr #1284
  • The default parameters for the solver::MultiGrid were improved. In particular, the smoother defaults to one iteration of Ir with Jacobi preconditioner, and the coarse grid solver uses the new direct solver with LU factorization. #1291 #1327
  • The iteration_complete event gained a more expressive overload with additional parameters, the old overloads were deprecated. #1288 #1327

Deprecations

  • Deprecated less expressive iteration_complete event. Users are advised to now implement the function void iteration_complete(const LinOp* solver, const LinOp* b, const LinOp* x, const size_type& it, const LinOp* r, const LinOp* tau, const LinOp* implicit_tau_sq, const array<stopping_status>* status, bool stopped) #1288

Added Features

  • A distributed Schwarz preconditioner. #1248
  • A GCR solver #1239
  • Flexible Gmres solver #1244
  • Enable Gmres solver for distributed matrices and vectors #1201
  • An example that uses Kokkos to assemble the system matrix #1216
  • A symbolic LU factorization allowing the gko::experimental::factorization::Lu and gko::experimental::solver::Direct classes to be used for matrices with non-symmetric sparsity pattern #1210
  • A numerical Cholesky factorization #1215
  • Symbolic factorizations in host-side operations are now wrapped in a host-side Operation to make their execution visible to loggers. This means that profiling loggers and benchmarks are no longer missing a separate entry for their runtime #1232
  • Symbolic factorization benchmark #1302
  • The ProfilerHook logger allows annotating the Ginkgo execution (apply, operations, ...) for profiling frameworks like NVTX, ROCTX and TAU. #1055
  • ProfilerHook::created_(nested_)summary allows the generation of a lightweight runtime profile over all Ginkgo functions written to a user-defined stream #1270 for both host and device timing functionality #1313
  • It is now possible to enable host buffers for MPI communications at runtime even if the compile option GINKGO_FORCE_GPU_AWARE_MPI is set. #1228
  • A stencil matrices generator (5-pt, 7-pt, 9-pt, and 27-pt) for benchmarks #1204
  • Distributed benchmarks (multi-vector blas, SpMV, solver) #1204
  • Benchmarks for CSR sorting and lookup #1219
  • A timer for MPI benchmarks that reports the longest time #1217
  • A timer_method=min|max|average|median flag for benchmark timing summary #1294
  • Support for non-default streams in CUDA and HIP executors #1236
  • METIS integration for nested dissection reordering #1296
  • SuiteSparse AMD integration for fillin-reducing reordering #1328
  • Csr mixed-precision SpMV support #1319
  • A with_loggers function for all Factory parameters #1337

Improvements

  • Improve naming of kernel operations for loggers #1277
  • Annotate solver iterations in ProfilerHook #1290
  • Allow using the profiler hooks and inline input strings in benchmarks #1342
  • Allow passing smart pointers in place of raw pointers to most matrix functions. This means that things like vec->compute_norm2(x.get()) or vec->compute_norm2(lend(x)) can be simplified to vec->compute_norm2(x) #1279 #1261
  • Catch overflows in prefix sum operations, which makes Ginkgo's operations much less likely to crash. This also improves the performance of the prefix sum kernel #1303
  • Make the installed GinkgoConfig.cmake file relocatable and follow more best practices #1325

Fixes

  • Fix OpenMPI version check #1200
  • Fix the mpi cxx type binding by c binding #1306
  • Fix runtime failures for one-sided MPI wrapper functions observed on some OpenMPI versions #1249
  • Disable thread pinning with GPU executors due to poor performance #1230
  • Fix hwloc version detection #1266
  • Fix PAPI detection in non-implicit include directories #1268
  • Fix PAPI support for newer PAPI versions: #1321
  • Fix pkg-config file generation for library paths outside prefix #1271
  • Fix various build failures with ROCm 5.4, CUDA 12 and OneAPI 6 #1214, #1235, #1251
  • Fix incorrect read for skew-symmetric MatrixMarket files with explicit diagonal entries #1272
  • Fix handling of missing diagonal entries in symbolic factorizations #1263
  • Fix segmentation fault in benchmark matrix construction #1299
  • Fix the stencil matrix creation for benchmarking #1305
  • Fix the additional residual check in IR #1307
  • Fix the cuSPARSE CSR SpMM issue on single strided vector when cuda >= 11.6 #1322 #1331
  • Fix Isai generation for large sparsity powers #1327
  • Fix Ginkgo compilation and test with NVHPC >= 22.7 #1331
  • Fix Ginkgo compilation of 32 bit binaries with MSVC #1349
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