petsc-master 2016-05-04
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A matrix type providing direct solvers (LU and Cholesky) for distributed and sequential matrices via the external package MUMPS. Works with MATAIJ and MATSBAIJ matrices

Use ./configure --download-mumps --download-scalapack --download-parmetis --download-metis --download-ptscotch to have PETSc installed with MUMPS

Use -pc_type cholesky or lu -pc_factor_mat_solver_package mumps to us this direct solver

Options Database Keys

-mat_mumps_icntl_1 - ICNTL(1): output stream for error messages
-mat_mumps_icntl_2 - ICNTL(2): output stream for diagnostic printing, statistics, and warning
-mat_mumps_icntl_3 - ICNTL(3): output stream for global information, collected on the host
-mat_mumps_icntl_4 - ICNTL(4): level of printing (0 to 4)
-mat_mumps_icntl_6 - ICNTL(6): permutes to a zero-free diagonal and/or scale the matrix (0 to 7)
-mat_mumps_icntl_7 - ICNTL(7): computes a symmetric permutation in sequential analysis (0 to 7). 3=Scotch, 4=PORD, 5=Metis
-mat_mumps_icntl_8 - ICNTL(8): scaling strategy (-2 to 8 or 77)
-mat_mumps_icntl_10 - ICNTL(10): max num of refinements
-mat_mumps_icntl_11 - ICNTL(11): statistics related to an error analysis (via -ksp_view)
-mat_mumps_icntl_12 - ICNTL(12): an ordering strategy for symmetric matrices (0 to 3)
-mat_mumps_icntl_13 - ICNTL(13): parallelism of the root node (enable ScaLAPACK) and its splitting
-mat_mumps_icntl_14 - ICNTL(14): percentage increase in the estimated working space
-mat_mumps_icntl_19 - ICNTL(19): computes the Schur complement
-mat_mumps_icntl_22 - ICNTL(22): in-core/out-of-core factorization and solve (0 or 1)
-mat_mumps_icntl_23 - ICNTL(23): max size of the working memory (MB) that can allocate per processor
-mat_mumps_icntl_24 - ICNTL(24): detection of null pivot rows (0 or 1)
-mat_mumps_icntl_25 - ICNTL(25): compute a solution of a deficient matrix and a null space basis
-mat_mumps_icntl_26 - ICNTL(26): drives the solution phase if a Schur complement matrix
-mat_mumps_icntl_28 - ICNTL(28): use 1 for sequential analysis and ictnl(7) ordering, or 2 for parallel analysis and ictnl(29) ordering
-mat_mumps_icntl_29 - ICNTL(29): parallel ordering 1 = ptscotch, 2 = parmetis
-mat_mumps_icntl_30 - ICNTL(30): compute user-specified set of entries in inv(A)
-mat_mumps_icntl_31 - ICNTL(31): indicates which factors may be discarded during factorization
-mat_mumps_icntl_33 - ICNTL(33): compute determinant
-mat_mumps_cntl_1 - CNTL(1): relative pivoting threshold
-mat_mumps_cntl_2 - CNTL(2): stopping criterion of refinement
-mat_mumps_cntl_3 - CNTL(3): absolute pivoting threshold
-mat_mumps_cntl_4 - CNTL(4): value for static pivoting
-mat_mumps_cntl_5 - CNTL(5): fixation for null pivots

See Also

PCFactorSetMatSolverPackage(), MatSolverPackage

Index of all Mat routines
Table of Contents for all manual pages
Index of all manual pages