mkl_sparse

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 3/31/2023

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mkl_sparse_sp2m

Computes the product of two sparse matrices. The result is stored in a newly allocated sparse matrix.

Syntax

sparse_status_t mkl_sparse_sp2m (const sparse_operation_t transA, const struct matrix_descr descrA, const sparse_matrix_t A, const sparse_operation_t transB, const struct matrix_descr descrB, const sparse_matrix_t B, const sparse_request_t request, sparse_matrix_t *C);

Include Files

mkl_spblas.h

Description

The mkl_sparse_sp2m routine performs a matrix-matrix operation:

C := opA(A) *opB(B)

where A,B, and C are sparse matrices, opA and opB are matrix modifiers for matrices A and B, respectively.

NOTE:

The column indices of the output matrix (if in CSR format) can appear unsorted due to the algorithm chosen internally. To ensure sorted column indices (if that is important), call mkl_sparse_order().

Input Parameters

opA

Specifies operation on input matrix.

SPARSE_OPERATION_NON_TRANSPOSE	Non-transpose, op(`A`)=`A`
SPARSE_OPERATION_TRANSPOSE	Transpose, op(`A`)=`A`^T
SPARSE_OPERATION_CONJUGATE_TRANSPOSE	Conjugate transpose, op(`A`)=`A`^H

opB

Specifies operation on input matrix.

SPARSE_OPERATION_NON_TRANSPOSE	Non-transpose, op(`B`)=`B`
SPARSE_OPERATION_TRANSPOSE	Transpose, op(`B`)=`B`^T
SPARSE_OPERATION_CONJUGATE_TRANSPOSE	Conjugate transpose, op(`B`)=`B`^H

descrA

Structure that specifies sparse matrix properties.

NOTE:

Currently, only SPARSE_MATRIX_TYPE_GENERAL is supported.

sparse_matrix_type_ttype specifies the type of sparse matrix.

SPARSE_MATRIX_TYPE_GENERAL	The matrix is processed as is.
SPARSE_MATRIX_TYPE_SYMMETRIC	The matrix is symmetric (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_HERMITIAN	The matrix is Hermitian (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_TRIANGULAR	The matrix is triangular (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_DIAGONAL	The matrix is diagonal (only diagonal elements are processed).
SPARSE_MATRIX_TYPE_BLOCK_TRIANGULAR	The matrix is block-triangular (only the requested triangle is processed). This applies to BSR format only.
SPARSE_MATRIX_TYPE_BLOCK_DIAGONAL	The matrix is block-diagonal (only the requested triangle is processed). This applies to BSR format only.

sparse_fill_mode_tmode specifies the triangular matrix portion for symmetric, Hermitian, triangular, and block-triangular matrices.

SPARSE_FILL_MODE_LOWER	The lower triangular matrix is processed.
SPARSE_FILL_MODE_UPPER	The upper triangular matrix is processed.

sparse_diag_type_tdiag specifies the type of diagonal for non-general matrices.

SPARSE_DIAG_NON_UNIT	Diagonal elements must not be equal to 1.
SPARSE_DIAG_UNIT	Diagonal elements are equal to 1.

descrB

Structure that specifies sparse matrix properties.

NOTE:

Currently, only SPARSE_MATRIX_TYPE_GENERAL is supported.

sparse_matrix_type_ttype specifies the type of sparse matrix.

SPARSE_MATRIX_TYPE_GENERAL	The matrix is processed as is.
SPARSE_MATRIX_TYPE_SYMMETRIC	The matrix is symmetric (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_HERMITIAN	The matrix is Hermitian (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_TRIANGULAR	The matrix is triangular (only the requested triangle is processed).
SPARSE_MATRIX_TYPE_DIAGONAL	The matrix is diagonal (only diagonal elements are processed).
SPARSE_MATRIX_TYPE_BLOCK_TRIANGULAR	The matrix is block-triangular (only the requested triangle is processed). This applies to BSR format only.
SPARSE_MATRIX_TYPE_BLOCK_DIAGONAL	The matrix is block-diagonal (only the requested triangle is processed). This applies to BSR format only.

sparse_fill_mode_tmode specifies the triangular matrix portion for symmetric, Hermitian, triangular, and block-triangular matrices.

SPARSE_FILL_MODE_LOWER	The lower triangular matrix is processed.
SPARSE_FILL_MODE_UPPER	The upper triangular matrix is processed.

sparse_diag_type_tdiag specifies the type of diagonal for non-general matrices.

SPARSE_DIAG_NON_UNIT	Diagonal elements must not be equal to 1.
SPARSE_DIAG_UNIT	Diagonal elements are equal to 1.

A

Handle which contains the sparse matrix A.

B

Handle which contains the sparse matrix B.

request

Specifies whether the full computations are performed at once or using the two-stage algorithm. See Two-stage Algorithm for Inspector-executor Sparse BLAS Routines.

SPARSE_STAGE_NNZ_COUNT	Only rowIndex (BSR/CSR format) or colIndex (CSC format) array of the matrix is computed internally. The computation can be extracted to measure the memory required for full operation.
SPARSE_STAGE_FINALIZE_MULT_NO_VAL	Finalize computations of the matrix structure (values will not be computed). Use only after the call with SPARSE_STAGE_NNZ_COUNT parameter.
SPARSE_STAGE_FINALIZE_MULT	Finalize computation. Can also be used when the matrix structure remains unchanged and only values of the resulting matrix `C` need to be recomputed.
SPARSE_STAGE_FULL_MULT_NO_VAL	Perform computations of the matrix structure.
SPARSE_STAGE_FULL_MULT	Perform the entire computation in a single step.

Output Parameters

C: Handle which contains the resulting sparse matrix.

Return Values

The function returns a value indicating whether the operation was successful, or the reason why it failed.

SPARSE_STATUS_SUCCESS	The operation was successful.
SPARSE_STATUS_NOT_INITIALIZED	The routine encountered an empty handle or matrix array.
SPARSE_STATUS_ALLOC_FAILED	The internal memory allocation failed.
SPARSE_STATUS_INVALID_VALUE	The input parameters contain an invalid value.
SPARSE_STATUS_EXECUTION_FAILED	The execution failed.
SPARSE_STATUS_INTERNAL_ERROR	An error occurred in the implementation of the algorithm.
SPARSE_STATUS_NOT_SUPPORTED	The requested operation is not supported.

Parent topic: Inspector-Executor Sparse BLAS Execution Routines

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Developer Reference for Intel® oneAPI Math Kernel Library for C

mkl_sparse_sp2m