Developer Reference for Intel® oneAPI Math Kernel Library for Fortran

ID 766686
Date 7/13/2023
Public

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mkl_sparse_?_spmmd

Computes the product of two sparse matrices and stores the result as a dense matrix.

Syntax

stat = mkl_sparse_s_spmmd (operation, A, B, layout, C, ldc)

stat = mkl_sparse_d_spmmd (operation, A, B, layout, C, ldc)

stat = mkl_sparse_c_spmmd (operation, A, B, layout, C, ldc)

stat = mkl_sparse_z_spmmd (operation, A, B, layout, C, ldc)

Include Files

  • mkl_spblas.f90

Description

The mkl_sparse_?_spmmd routine performs a matrix-matrix operation:

C := op(A)*B

where A and B are sparse matrices, op is a matrix modifier for matrix A, and C is a dense matrix.

NOTE:

This routine is not supported for sparse matrices in the COO format. For sparse matrices in BSR format, these combinations of (indexing, block_layout) are supported:

  • (SPARSE_INDEX_BASE_ZERO, SPARSE_LAYOUT_ROW_MAJOR)

  • (SPARSE_INDEX_BASE_ONE, SPARSE_LAYOUT_COLUMN_MAJOR)

Input Parameters

operation

C_INT.

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.

A

SPARSE_MATRIX_T.

Handle which contains the sparse matrix A.

B

SPARSE_MATRIX_T.

Handle which contains the sparse matrix B.

layout

C_INT.

Describes the storage scheme for the dense matrix:

SPARSE_LAYOUT_COLUMN_MAJOR

Storage of elements uses column major layout.

SPARSE_LAYOUT_ROW_MAJOR

Storage of elements uses row major layout.

ldC

C_INT.

Leading dimension of matrix C.

Output Parameters

C

C_FLOAT for mkl_sparse_s_spmmd

C_DOUBLE for mkl_sparse_d_spmmd

C_FLOAT_COMPLEX for mkl_sparse_c_spmmd

C_DOUBLE_COMPLEX for mkl_sparse_z_spmmd

Resulting dense matrix.

stat

INTEGER

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.