mkl_sparse

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

Syntax

sparse_status_t mkl_sparse_spmm (const 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 and op is a matrix modifier for matrix A.

This routine is supported only for sparse matrices in CSC, CSR, and BSR formats. It is not supported for sparse matrices in COO format.
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().

operation

Specifies operation op() 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`.

A

Handle which contains the sparse matrix A.

B

Handle which contains the sparse matrix B.

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.