Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

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mkl_sparse_spmm

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
);
Include Files
  • mkl_spblas.h
Description
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 only supported for sparse matrices in CSC, CSR, and BSR formats. It is not supported for sparse matrices in COO format.
Input Parameters
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
.
Output Parameters
C
Handle which contains the resulting sparse matrix.
Return Values
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.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.