Use -pc_type lu -pc_factor_mat_solver_package mkl_pardiso to us this direct solver
| -mat_mkl_pardiso_65 | - Number of threads to use within MKL_PARDISO | |
| -mat_mkl_pardiso_66 | - Maximum number of factors with identical sparsity structure that must be kept in memory at the same time | |
| -mat_mkl_pardiso_67 | - Indicates the actual matrix for the solution phase | |
| -mat_mkl_pardiso_68 | - Message level information | |
| -mat_mkl_pardiso_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_pardiso_1 | - Use default values | |
| -mat_mkl_pardiso_2 | - Fill-in reducing ordering for the input matrix | |
| -mat_mkl_pardiso_4 | - Preconditioned CGS/CG | |
| -mat_mkl_pardiso_5 | - User permutation | |
| -mat_mkl_pardiso_6 | - Write solution on x | |
| -mat_mkl_pardiso_8 | - Iterative refinement step | |
| -mat_mkl_pardiso_10 | - Pivoting perturbation | |
| -mat_mkl_pardiso_11 | - Scaling vectors | |
| -mat_mkl_pardiso_12 | - Solve with transposed or conjugate transposed matrix A | |
| -mat_mkl_pardiso_13 | - Improved accuracy using (non-) symmetric weighted matching | |
| -mat_mkl_pardiso_18 | - Numbers of non-zero elements | |
| -mat_mkl_pardiso_19 | - Report number of floating point operations | |
| -mat_mkl_pardiso_21 | - Pivoting for symmetric indefinite matrices | |
| -mat_mkl_pardiso_24 | - Parallel factorization control | |
| -mat_mkl_pardiso_25 | - Parallel forward/backward solve control | |
| -mat_mkl_pardiso_27 | - Matrix checker | |
| -mat_mkl_pardiso_31 | - Partial solve and computing selected components of the solution vectors | |
| -mat_mkl_pardiso_34 | - Optimal number of threads for conditional numerical reproducibility (CNR) mode | |
| -mat_mkl_pardiso_60 | - Intel MKL_PARDISO mode |
For more information please check mkl_pardiso manual
Level:beginner
Location:src/mat/impls/aij/seq/mkl_pardiso/mkl_pardiso.c
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