mkl_sparse_?

Developer Reference for Intel® oneAPI Math Kernel Library for Fortran

Download PDF

ID 766686

Date 10/31/2024

Version

Public

Visible to Intel only — GUID: GUID-1FAA1369-97A7-4F13-87B2-3FE4425D876D

View Details

mkl_sparse_?_mv

Computes a sparse matrix- vector product.

Syntax

stat = mkl_sparse_s_mv (operation, alpha, A, descr, x, beta, y)

stat = mkl_sparse_d_mv (operation, alpha, A, descr, x, beta, y)

stat = mkl_sparse_c_mv (operation, alpha, A, descr, x, beta, y)

stat = mkl_sparse_z_mv (operation, alpha, A, descr, x, beta, y)

Include Files

mkl_spblas.f90

Description

The mkl_sparse_?_mv routine computes a sparse matrix-dense vector product defined as

					y := alpha*op(A)*x + beta*y

where:

alpha and beta are scalars, x and y are vectors, and A is a sparse matrix handle of a matrix with m rows and k columns, and op is a matrix modifier for matrix A.

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) = A^T`.
`SPARSE_OPERATION_CONJUGATE_TRANSPOSE`	Conjugate transpose, `op(A) = A^H`.

alpha

C_FLOAT for mkl_sparse_s_mv

C_DOUBLE for mkl_sparse_d_mv

C_FLOAT_COMPLEX for mkl_sparse_c_mv

C_DOUBLE_COMPLEX for mkl_sparse_z_mv

Specifies the scalar alpha.

A

SPARSE_MATRIX_T.

Handle which contains the input matrix A.

descr

MATRIX_DESCR.

Descriptor specifying sparse matrix properties.

type - Specifies the type of a sparse matrix:

`SPARSE_MATRIX_TYPE_GENERAL`	The matrix is processed as is.
`SPARSE_MATRIX_TYPE_SYMMETRIC`	The matrix is symmetric (only the requested triangle is processed).
`SPARSE_MATRIX_TYPE_HERMITIAN`	The matrix is Hermitian (only the requested triangle is processed).
`SPARSE_MATRIX_TYPE_TRIANGULAR`	The matrix is triangular (only the requested triangle is processed).
`SPARSE_MATRIX_TYPE_DIAGONAL`	The matrix is diagonal (only diagonal elements are processed).
`SPARSE_MATRIX_TYPE_BLOCK_TRIANGULAR`	The matrix is block-triangular (only requested triangle is processed). Applies to BSR format only.
`SPARSE_MATRIX_TYPE_BLOCK_DIAGONAL`	The matrix is block-diagonal (only diagonal blocks are processed). Applies to BSR format only.

mode - Specifies the triangular matrix part for symmetric, Hermitian, triangular, and block-triangular matrices:

`SPARSE_FILL_MODE_LOWER`	The lower triangular matrix part is processed.
`SPARSE_FILL_MODE_UPPER`	The upper triangular matrix part is processed.

diag - Specifies diagonal type for non-general matrices:

`SPARSE_DIAG_NON_UNIT`	Diagonal elements might not be equal to one.
`SPARSE_DIAG_UNIT`	Diagonal elements are equal to one.

x

C_FLOAT for mkl_sparse_s_mv

C_DOUBLE for mkl_sparse_d_mv

C_FLOAT_COMPLEX for mkl_sparse_c_mv

C_DOUBLE_COMPLEX for mkl_sparse_z_mv

Array of size equal to the number of columns, k of A if operation = SPARSE_OPERATION_NON_TRANSPOSE and at least the number of rows, m, of A otherwise. On entry, the array must contain the vector x.

beta

C_FLOAT for mkl_sparse_s_mv

C_DOUBLE for mkl_sparse_d_mv

C_FLOAT_COMPLEX for mkl_sparse_c_mv

C_DOUBLE_COMPLEX for mkl_sparse_z_mv

Specifies the scalar beta.

y

C_FLOAT for mkl_sparse_s_mv

C_DOUBLE for mkl_sparse_d_mv

C_FLOAT_COMPLEX for mkl_sparse_c_mv

C_DOUBLE_COMPLEX for mkl_sparse_z_mv

Array with size at least m if operation=SPARSE_OPERATION_NON_TRANSPOSE and at least k otherwise. On entry, the array y must contain the vector y. Array of size equal to the number of rows, m of A if operation = SPARSE_OPERATION_NON_TRANSPOSE and at least the number of columns, k, of A otherwise. On entry, the array y must contain the vector y.

Output Parameters

y

C_FLOAT for mkl_sparse_s_mv

C_DOUBLE for mkl_sparse_d_mv

C_FLOAT_COMPLEX for mkl_sparse_c_mv

C_DOUBLE_COMPLEX for mkl_sparse_z_mv

Overwritten by the updated vector y.

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.

Parent topic: Inspector-Executor Sparse BLAS Execution Routines

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Developer Reference for Intel® oneAPI Math Kernel Library for Fortran

mkl_sparse_?_mv

Syntax

Include Files

Description

Input Parameters

Output Parameters