9415d6aa08
Thir PR adds a factorized sparse approximate inverse (FSAI) implementation on hypre, which can be used as a standalone solver, preconditioner to Krylov methods, or complex smoother to BoomerAMG. Particularly, we consider the adaptive algorithm version, where the sparsity pattern of the lower triangular factor G is built dynamically, i.e., during an iterative procedure that tries to find the best nonzero positions for a given row of G. This implementation was performed on top of the IJ interface. It uses the diagonal portion of A for constructing G, i.e., it's a block-Jacobi method in the MPI sense. List of additional changes: * Add caliper instrumentation to FSAI. * Add ZeroGuess option to FSAI. * Performance optimizations. * Add OpenMP support to FSAI. * Make internal BLAS/LAPACK functions thread-safe. * Update CMake build. * Add new test cases: beam_tet_dof459_np1, beam_hex_dof459_np2, and beam_tet_dof2475_np4. * Add documentation for FSAI. Co-authored-by: Heather Switzer <switzer4@lassen36.coral.llnl.gov> Co-authored-by: heatherms27 <hmswitzer@email.wm.edu> Co-authored-by: Sarah Osborn <30503782+osborn9@users.noreply.github.com>
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19 B
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2 lines
19 B
Plaintext
TEST_ij/!(fsai).sh
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