Sparse L3 BLAS operations

Sparse BLAS level 3 routines for sparse matrix dense matrix. More...

Functions
CLSPARSE_EXPORT clsparseStatus	clsparseScsrmm (const clsparseScalar *alpha, const clsparseCsrMatrix *sparseMatA, const cldenseMatrix *denseMatB, const clsparseScalar *beta, cldenseMatrix *denseMatC, const clsparseControl control)
	Single precision CSR sparse matrix times dense matrix. More...
CLSPARSE_EXPORT clsparseStatus	clsparseDcsrmm (const clsparseScalar *alpha, const clsparseCsrMatrix *sparseMatA, const cldenseMatrix *denseMatB, const clsparseScalar *beta, cldenseMatrix *denseMatC, const clsparseControl control)
	Double precision CSR sparse matrix times dense matrix. More...
CLSPARSE_EXPORT clsparseStatus	clsparseScsrSpGemm (const clsparseCsrMatrix *sparseMatA, const clsparseCsrMatrix *sparseMatB, clsparseCsrMatrix *sparseMatC, const clsparseControl control)
	Single Precision CSR Sparse Matrix times Sparse Matrix. More...

Detailed Description

Sparse BLAS level 3 routines for sparse matrix dense matrix.

Level 3 BLAS operations are defined by order \( N^3 \) operations, usually in the form of a matrix times a matrix.

Function Documentation

CLSPARSE_EXPORT clsparseStatus clsparseDcsrmm	(	const clsparseScalar *	alpha,
		const clsparseCsrMatrix *	sparseMatA,
		const cldenseMatrix *	denseMatB,
		const clsparseScalar *	beta,
		cldenseMatrix *	denseMatC,
		const clsparseControl	control
	)

Double precision CSR sparse matrix times dense matrix.

\( C \leftarrow \alpha \ast A \ast B + \beta \ast C \)

Parameters

[in]	alpha	Scalar value to multiply against sparse matrix
[in]	sparseMatA	Input CSR sparse matrix
[in]	denseMatB	Input dense matrix
[in]	beta	Scalar value to multiply against dense matrix
[out]	denseMatC	Output dense matrix
[in]	control	A valid clsparseControl created with clsparseCreateControl

Note

This routine is currently implemented as a batched level 2 matrix times a vector.

CLSPARSE_EXPORT clsparseStatus clsparseScsrmm	(	const clsparseScalar *	alpha,
		const clsparseCsrMatrix *	sparseMatA,
		const cldenseMatrix *	denseMatB,
		const clsparseScalar *	beta,
		cldenseMatrix *	denseMatC,
		const clsparseControl	control
	)

Single precision CSR sparse matrix times dense matrix.

\( C \leftarrow \alpha \ast A \ast B + \beta \ast C \)

Parameters

[in]	alpha	Scalar value to multiply against sparse matrix
[in]	sparseMatA	Input CSR sparse matrix
[in]	denseMatB	Input dense matrix
[in]	beta	Scalar value to multiply against dense matrix
[out]	denseMatC	Output dense matrix
[in]	control	A valid clsparseControl created with clsparseCreateControl

Note

This routine is currently implemented as a batched level 2 matrix times a vector.

CLSPARSE_EXPORT clsparseStatus clsparseScsrSpGemm	(	const clsparseCsrMatrix *	sparseMatA,
		const clsparseCsrMatrix *	sparseMatB,
		clsparseCsrMatrix *	sparseMatC,
		const clsparseControl	control
	)

Single Precision CSR Sparse Matrix times Sparse Matrix.

\( C \leftarrow A \ast B \)

Parameters

[in]	sparseMatA	Input CSR sparse matrix
[in]	sparseMatB	Input CSR sparse matrix
[out]	sparseMatC	Output CSR sparse matrix
[in]	control	A valid clsparseControl created with clsparseCreateControl

Precondition

The input sparse matrices data must first be sorted by rows, then by columns