Release 1.7.0 to master

[tcojean]

Release 1.7.0 to master.

The Ginkgo team is proud to announce the new Ginkgo minor release 1.7.0. This release brings new features such as:

• Complete GPU-resident sparse direct solvers feature set and interfaces,
• Improved Cholesky factorization performance,
• A new MC64 reordering,
• Batched iterative solver support with the BiCGSTAB solver with batched Dense and ELL matrix types,
• MPI support for the SYCL backend,
• Improved ParILU(T)/ParIC(T) preconditioner convergence,
  and 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 3.16+
• C++14 compliant compiler
• Linux and macOS
  • GCC: 5.5+
  • clang: 3.9+
  • Intel compiler: 2019+
  • Apple Clang: 14.0 is tested. Earlier versions might also work.
  • NVHPC: 22.7+
  • Cray Compiler: 14.0.1+
  • CUDA module: CMake 3.18+, and CUDA 10.1+ or NVHPC 22.7+
  • HIP module: ROCm 4.5+
  • DPC++ module: Intel oneAPI 2022.1+ with oneMKL and oneDPL. Set the CXX compiler to dpcpp or icpx.
  • MPI: standard version 3.1+, ideally GPU Aware, for best performance
• Windows
  • MinGW: GCC 5.5+
  • Microsoft Visual Studio: VS 2019+
  • CUDA module: CUDA 10.1+, Microsoft Visual Studio
  • OpenMP module: MinGW.

Version support changes

• CUDA 9.2 is no longer supported and 10.0 is untested #1382
• Ginkgo now requires CMake version 3.16 (and 3.18 for CUDA) #1368

Interface changes

• const Factory parameters can no longer be modified through with_* functions, as this breaks const-correctness #1336 #1439

New Deprecations

• The device_reset parameter of CUDA and HIP executors no longer has an effect, and its allocation_mode parameters have been deprecated in favor of the Allocator interface. #1315
• The CMake parameter GINKGO_BUILD_DPCPP has been deprecated in favor of GINKGO_BUILD_SYCL. #1350
• The gko::reorder::Rcm interface has been deprecated in favor of gko::experimental::reorder::Rcm based on Permutation. #1418
• The Permutation class' permute_mask functionality. #1415
• Multiple functions with typos (set_complex_subpsace(), range functions such as conj_operaton etc). #1348

Summary of previous deprecations

• gko::lend() is not necessary anymore.
• The classes RelativeResidualNorm and AbsoluteResidualNorm are deprecated in favor of ResidualNorm.
• The class AmgxPgm is deprecated in favor of Pgm.
• Default constructors for the CSR load_balance and automatical strategies
• The PolymorphicObject's move-semantic copy_from variant
• The templated SolverBase class.
• The class MachineTopology is deprecated in favor of machine_topology.
• Logger constructors and create functions with the executor parameter.
• The virtual, protected, Dense functions compute_norm1_impl, add_scaled_impl, etc.
• Logger events for solvers and criterion without the additional implicit_tau_sq parameter.
• The global gko::solver::default_krylov_dim, use instead gko::solver::gmres_default_krylov_dim.

Added features

• Adds a batch::BatchLinOp class that forms a base class for batched linear operators such as batched matrix formats, solver and preconditioners #1379
• Adds a batch::MultiVector class that enables operations such as dot, norm, scale on batched vectors #1371
• Adds a batch::Dense matrix format that stores batched dense matrices and provides gemv operations for these dense matrices. #1413
• Adds a batch::Ell matrix format that stores batched Ell matrices and provides spmv operations for these batched Ell matrices. #1416 #1437
• Add a batch::Bicgstab solver (class, core, and reference kernels) that enables iterative solution of batched linear systems #1438.
• Add device kernels (CUDA, HIP, and DPCPP) for batch::Bicgstab solver. #1443.
• New MC64 reordering algorithm which optimizes the diagonal product or sum of a matrix by permuting the rows, and computes additional scaling factors for equilibriation #1120
• New interface for (non-symmetric) permutation and scaled permutation of Dense and Csr matrices #1415
• LU and Cholesky Factorizations can now be separated into their factors #1432
• New symbolic LU factorization algorithm that is optimized for matrices with an almost-symmetric sparsity pattern #1445
• Sorting kernels for SparsityCsr on all backends #1343
• Allow passing pre-generated local solver as factory parameter for the distributed Schwarz preconditioner #1426
• Add DPCPP kernels for Partition #1034, and CSR's check_diagonal_entries and add_scaled_identity functionality #1436
• Adds a helper function to create a partition based on either local sizes, or local ranges #1227
• Add function to compute arithmetic mean of dense and distributed vectors #1275
• Adds icpx compiler supports #1350
• All backends can be built simultaneously #1333
• Emits a CMake warning in downstream projects that use different compilers than the installed Ginkgo #1372
• Reordering algorithms in sparse_blas benchmark #1354
• Benchmarks gained an -allocator parameter to specify device allocators #1385
• Benchmarks gained an -input_matrix parameter that initializes the input JSON based on the filename #1387
• Benchmark inputs can now be reordered as a preprocessing step #1408

Improvements

• Significantly improve Cholesky factorization performance #1366
• Improve parallel build performance #1378
• Allow constrained parallel test execution using CTest resources #1373
• Use arithmetic type more inside mixed precision ELL #1414
• Most factory parameters of factory type no longer need to be constructed explicitly via .on(exec) #1336 #1439
• Improve ParILU(T)/ParIC(T) convergence by using more appropriate atomic operations #1434

Fixes

• Fix an over-allocation for OpenMP reductions #1369
• Fix DPCPP's common-kernel reduction for empty input sizes #1362
• Fix several typos in the API and documentation #1348
• Fix inconsistent Threads between generations #1388
• Fix benchmark median condition #1398
• Fix HIP 5.6.0 compilation #1411
• Fix missing destruction of rand_generator from cuda/hip #1417
• Fix PAPI logger destruction order #1419
• Fix TAU logger compilation #1422
• Fix relative criterion to not iterate if the residual is already zero #1079
• Fix memory_order invocations with C++20 changes #1402
• Fix check_diagonal_entries_exist report correctly when only missing diagonal value in the last rows. #1440
• Fix checking OpenMPI version in cross-compilation settings #1446
• Fix false-positive deprecation warnings in Ginkgo, especially for the old Rcm (it doesn't emit deprecation warnings anymore as a result but is still considered deprecated) #1444

[yhmtsai]

LGTM