Intel® Math Kernel Library 2019 Developer Reference - C
Computes the product of two sparse matrices and stores the result as a sparse matrix.
sparse_status_t mkl_sparse_spmm (sparse_operation_t operation, const sparse_matrix_t A, const sparse_matrix_t B, sparse_matrix_t *C);
The mkl_sparse_spmm routine performs a matrix-matrix operation:
C := op(A) *B
where A, B, and C are sparse matrices.
This routine is only supported for sparse matrices in CSC, CSR, and BSR formats. It is not supported for sparse matrices in COO format.
Specifies operation op() on input matrix.
SPARSE_OPERATION_NON_TRANSPOSE |
Non-transpose, op(A) = A. |
SPARSE_OPERATION_TRANSPOSE |
Transpose, op(A) = AT. |
SPARSE_OPERATION_CONJUGATE_TRANSPOSE |
Conjugate transpose, op(A) = AH. |
Handle containing a sparse matrix in internal data structure.
Handle containing a sparse matrix in internal data structure.
Handle containing the resulting sparse matrix in internal data structure.
The function returns a value indicating whether the operation was successful or not, and why.
SPARSE_STATUS_SUCCESS |
The operation was successful. |
SPARSE_STATUS_NOT_INITIALIZED |
The routine encountered an empty handle or matrix array. |
SPARSE_STATUS_ALLOC_FAILED |
Internal memory allocation failed. |
SPARSE_STATUS_INVALID_VALUE |
The input parameters contain an invalid value. |
SPARSE_STATUS_EXECUTION_FAILED |
Execution failed. |
SPARSE_STATUS_INTERNAL_ERROR |
An error in algorithm implementation occurred. |
SPARSE_STATUS_NOT_SUPPORTED |
The requested operation is not supported. |