MATSOLVERMKL_CPARDISO#

A matrix type providing direct solvers (LU) for parallel matrices via the external package MKL_CPARDISO. Works with MATMPIAIJ matrices

Use -pc_type lu -pc_factor_mat_solver_type mkl_cpardiso to use this direct solver

Options Database Keys#

-mat_mkl_cpardiso_65 - Suggested number of threads to use within MKL_CPARDISO
-mat_mkl_cpardiso_66 - Maximum number of factors with identical sparsity structure that must be kept in memory at the same time
-mat_mkl_cpardiso_67 - Indicates the actual matrix for the solution phase
-mat_mkl_cpardiso_68 - Message level information, use 1 to get detailed information on the solver options
-mat_mkl_cpardiso_69 - Defines the matrix type. IMPORTANT: When you set this flag, iparm parameters are going to be set to the default ones for the matrix type
-mat_mkl_cpardiso_1 - Use default values
-mat_mkl_cpardiso_2 - Fill-in reducing ordering for the input matrix
-mat_mkl_cpardiso_4 - Preconditioned CGS/CG
-mat_mkl_cpardiso_5 - User permutation
-mat_mkl_cpardiso_6 - Write solution on x
-mat_mkl_cpardiso_8 - Iterative refinement step
-mat_mkl_cpardiso_10 - Pivoting perturbation
-mat_mkl_cpardiso_11 - Scaling vectors
-mat_mkl_cpardiso_12 - Solve with transposed or conjugate transposed matrix A
-mat_mkl_cpardiso_13 - Improved accuracy using (non-) symmetric weighted matching
-mat_mkl_cpardiso_18 - Numbers of non-zero elements
-mat_mkl_cpardiso_19 - Report number of floating point operations
-mat_mkl_cpardiso_21 - Pivoting for symmetric indefinite matrices
-mat_mkl_cpardiso_24 - Parallel factorization control
-mat_mkl_cpardiso_25 - Parallel forward/backward solve control
-mat_mkl_cpardiso_27 - Matrix checker
-mat_mkl_cpardiso_31 - Partial solve and computing selected components of the solution vectors
-mat_mkl_cpardiso_34 - Optimal number of threads for conditional numerical reproducibility (CNR) mode
-mat_mkl_cpardiso_60 - Intel MKL_CPARDISO mode