mkl_?cscmm

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 3/31/2023

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mkl_?cscmm

Computes matrix-matrix product of a sparse matrix stored in the CSC format (deprecated).

Syntax

void mkl_scscmm (const char *transa , const MKL_INT *m , const MKL_INT *n , const MKL_INT *k , const float *alpha , const char *matdescra , const float *val , const MKL_INT *indx , const MKL_INT *pntrb , const MKL_INT *pntre , const float *b , const MKL_INT *ldb , const float *beta , float *c , const MKL_INT *ldc );

void mkl_dcscmm (const char *transa , const MKL_INT *m , const MKL_INT *n , const MKL_INT *k , const double *alpha , const char *matdescra , const double *val , const MKL_INT *indx , const MKL_INT *pntrb , const MKL_INT *pntre , const double *b , const MKL_INT *ldb , const double *beta , double *c , const MKL_INT *ldc );

void mkl_ccscmm (const char *transa , const MKL_INT *m , const MKL_INT *n , const MKL_INT *k , const MKL_Complex8 *alpha , const char *matdescra , const MKL_Complex8 *val , const MKL_INT *indx , const MKL_INT *pntrb , const MKL_INT *pntre , const MKL_Complex8 *b , const MKL_INT *ldb , const MKL_Complex8 *beta , MKL_Complex8 *c , const MKL_INT *ldc );

void mkl_zcscmm (const char *transa , const MKL_INT *m , const MKL_INT *n , const MKL_INT *k , const MKL_Complex16 *alpha , const char *matdescra , const MKL_Complex16 *val , const MKL_INT *indx , const MKL_INT *pntrb , const MKL_INT *pntre , const MKL_Complex16 *b , const MKL_INT *ldb , const MKL_Complex16 *beta , MKL_Complex16 *c , const MKL_INT *ldc );

Include Files

mkl.h

Description

This routine is deprecated. Use Use mkl_sparse_?_mmfrom the Intel® oneAPI Math Kernel Library Inspector-executor Sparse BLAS interface instead.

The mkl_?cscmm routine performs a matrix-matrix operation defined as

C := alpha*A*B + beta*C

C := alpha*A^T*B + beta*C,

C := alpha*A^H*B + beta*C,

where:

alpha and beta are scalars,

B and C are dense matrices, A is an m-by-k sparse matrix in compressed sparse column (CSC) format, A^T is the transpose of A, and A^H is the conjugate transpose of A.

NOTE:

This routine supports CSC format both with one-based indexing and zero-based indexing.

Input Parameters

transa

Specifies the operation.

If transa = 'N' or 'n', then C := alpha*A* B + beta*C

If transa = 'T' or 't', then C := alpha*A^T*B + beta*C,

If transa ='C' or 'c', then C := alpha*A^H*B + beta*C

m

Number of rows of the matrix A.

n

Number of columns of the matrix C.

k

Number of columns of the matrix A.

alpha

Specifies the scalar alpha.

matdescra

Array of six elements, specifies properties of the matrix used for operation. Only first four array elements are used, their possible values are given in Table “Possible Values of the Parameter matdescra (descra)”. Possible combinations of element values of this parameter are given in Table “Possible Combinations of Element Values of the Parameter matdescra”.

val

Array containing non-zero elements of the matrix A.

Its length is pntrb[k-1] - pntrb[0].

Refer to values array description in CSC Format for more details.

indx

For one-based indexing, array containing the row indices plus one for each non-zero element of the matrix A.

For zero-based indexing, array containing the column indices for each non-zero element of the matrix A.

Its length is equal to length of the val array.

Refer to rows array description in CSC Format for more details.

pntrb

Array of length k.

This array contains column indices, such that pntrb[i] - pntrb[0] is the first index of column i in the arrays val and indx.

Refer to pointerb array description in CSC Format for more details.

pntre

Array of length k.

This array contains column indices, such that pntre[i] - pntrb[0] - 1 is the last index of column i in the arrays val and indx.

Refer to pointerE array description in CSC Format for more details.

b

Array, size ldb by at least n for non-transposed matrix A and at least m for transposed for one-based indexing, and (at least k for non-transposed matrix A and at least m for transposed, ldb) for zero-based indexing.

On entry with transa = 'N' or 'n', the leading k-by-n part of the array b must contain the matrix B, otherwise the leading m-by-n part of the array b must contain the matrix B.

ldb

Specifies the leading dimension of b for one-based indexing, and the second dimension of b for zero-based indexing, as declared in the calling (sub)program.

beta

Specifies the scalar beta.

c

Array, size ldc by n for one-based indexing, and (m, ldc) for zero-based indexing.

On entry, the leading m-by-n part of the array c must contain the matrix C, otherwise the leading k-by-n part of the array c must contain the matrix C.

ldc

Specifies the leading dimension of c for one-based indexing, and the second dimension of c for zero-based indexing, as declared in the calling (sub)program.

Output Parameters

c: Overwritten by the matrix (alpha*A*B + beta* C) or (alpha*A^T*B + beta*C) or (alpha*A^H*B + beta*C).

Parent topic: Sparse BLAS Level 2 and Level 3 Routines.

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Developer Reference for Intel® oneAPI Math Kernel Library for C

mkl_?cscmm