MatCreateSeqBAIJMKL#

Creates a sparse matrix of type MATSEQBAIJMKL. This type inherits from MATSEQBAIJ and is largely identical, but uses sparse BLAS routines from Intel MKL whenever possible.

Synopsis#

PetscErrorCode MatCreateSeqBAIJMKL(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt nz, const PetscInt nnz[], Mat *A)

Input Parameters#

  • comm - MPI communicator, set to PETSC_COMM_SELF

  • bs - size of block, the blocks are ALWAYS square. One can use MatSetBlockSizes() to set a different row and column blocksize but the row blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs()

  • m - number of rows

  • n - number of columns

  • nz - number of nonzero blocks per block row (same for all rows)

  • nnz - array containing the number of nonzero blocks in the various block rows (possibly different for each block row) or NULL

Output Parameter#

  • A - the matrix

It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(), MatXXXXSetPreallocation() paradigm instead of this routine directly. [MatXXXXSetPreallocation() is, for example, MatSeqBAIJSetPreallocation()]

Options Database Keys#

  • -mat_no_unroll - uses code that does not unroll the loops in the block calculations (much slower)

  • -mat_block_size - size of the blocks to use

Notes#

The number of rows and columns must be divisible by blocksize.

If the nnz parameter is given then the nz parameter is ignored

A nonzero block is any block that as 1 or more nonzeros in it

MatMult(), MatMultAdd(), MatMultTranspose(), and MatMultTransposeAdd() operations are currently supported. If the installed version of MKL supports the “SpMV2” sparse inspector-executor routines, then those are used by default. Default PETSc kernels are used otherwise.

The MATSEQBAIJ format is fully compatible with standard Fortran storage. That is, the stored row and column indices can begin at either one (as in Fortran) or zero. See the users’ manual for details.

Specify the preallocated storage with either nz or nnz (not both). Set nz = PETSC_DEFAULT and nnz = NULL for PETSc to control dynamic memory allocation. See Sparse Matrices for details. matrices.

See Also#

Sparse Matrices, MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateBAIJ()

Level#

intermediate

Location#

src/mat/impls/baij/seq/baijmkl/baijmkl.c

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