/*! @file ssp_blas3.c
* \brief Sparse BLAS3, using some dense BLAS3 operations
*
* <pre>
* -- SuperLU routine (version 2.0) --
* Univ. of California Berkeley, Xerox Palo Alto Research Center,
* and Lawrence Berkeley National Lab.
* November 15, 1997
* </pre>
*/
/*
* File name: sp_blas3.c
* Purpose: Sparse BLAS3, using some dense BLAS3 operations.
*/
#include "slu_sdefs.h"
/*! \brief
*
* <pre>
* Purpose
* =======
*
* sp_s performs one of the matrix-matrix operations
*
* C := alpha*op( A )*op( B ) + beta*C,
*
* where op( X ) is one of
*
* op( X ) = X or op( X ) = X' or op( X ) = conjg( X' ),
*
* alpha and beta are scalars, and A, B and C are matrices, with op( A )
* an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
*
*
* Parameters
* ==========
*
* TRANSA - (input) char*
* On entry, TRANSA specifies the form of op( A ) to be used in
* the matrix multiplication as follows:
* TRANSA = 'N' or 'n', op( A ) = A.
* TRANSA = 'T' or 't', op( A ) = A'.
* TRANSA = 'C' or 'c', op( A ) = conjg( A' ).
* Unchanged on exit.
*
* TRANSB - (input) char*
* On entry, TRANSB specifies the form of op( B ) to be used in
* the matrix multiplication as follows:
* TRANSB = 'N' or 'n', op( B ) = B.
* TRANSB = 'T' or 't', op( B ) = B'.
* TRANSB = 'C' or 'c', op( B ) = conjg( B' ).
* Unchanged on exit.
*
* M - (input) int
* On entry, M specifies the number of rows of the matrix
* op( A ) and of the matrix C. M must be at least zero.
* Unchanged on exit.
*
* N - (input) int
* On entry, N specifies the number of columns of the matrix
* op( B ) and the number of columns of the matrix C. N must be
* at least zero.
* Unchanged on exit.
*
* K - (input) int
* On entry, K specifies the number of columns of the matrix
* op( A ) and the number of rows of the matrix op( B ). K must
* be at least zero.
* Unchanged on exit.
*
* ALPHA - (input) float
* On entry, ALPHA specifies the scalar alpha.
*
* A - (input) SuperMatrix*
* Matrix A with a sparse format, of dimension (A->nrow, A->ncol).
* Currently, the type of A can be:
* Stype = NC or NCP; Dtype = SLU_S; Mtype = GE.
* In the future, more general A can be handled.
*
* B - FLOAT PRECISION array of DIMENSION ( LDB, kb ), where kb is
* n when TRANSB = 'N' or 'n', and is k otherwise.
* Before entry with TRANSB = 'N' or 'n', the leading k by n
* part of the array B must contain the matrix B, otherwise
* the leading n by k part of the array B must contain the
* matrix B.
* Unchanged on exit.
*
* LDB - (input) int
* On entry, LDB specifies the first dimension of B as declared
* in the calling (sub) program. LDB must be at least max( 1, n ).
* Unchanged on exit.
*
* BETA - (input) float
* On entry, BETA specifies the scalar beta. When BETA is
* supplied as zero then C need not be set on input.
*
* C - FLOAT PRECISION array of DIMENSION ( LDC, n ).
* Before entry, the leading m by n part of the array C must
* contain the matrix C, except when beta is zero, in which
* case C need not be set on entry.
* On exit, the array C is overwritten by the m by n matrix
* ( alpha*op( A )*B + beta*C ).
*
* LDC - (input) int
* On entry, LDC specifies the first dimension of C as declared
* in the calling (sub)program. LDC must be at least max(1,m).
* Unchanged on exit.
*
* ==== Sparse Level 3 Blas routine.
* </pre>
*/
int
sp_sgemm(char *transa, char *transb, int m, int n, int k,
float alpha, SuperMatrix *A, float *b, int ldb,
float beta, float *c, int ldc)
{
int incx = 1, incy = 1;
int j;
for (j = 0; j < n; ++j) {
sp_sgemv(transa, alpha, A, &b[ldb*j], incx, beta, &c[ldc*j], incy);
}
return 0;
}