/*! @file ssp_blas3.c

 * \brief Sparse BLAS3, using some dense BLAS3 operations

 *

 * 

 * -- SuperLU routine (version 2.0) --

 * Univ. of California Berkeley, Xerox Palo Alto Research Center,

 * and Lawrence Berkeley National Lab.

 * November 15, 1997

 * 

 */

/*

 * File name:		sp_blas3.c

 * Purpose:		Sparse BLAS3, using some dense BLAS3 operations.

 */

#include "slu_sdefs.h"

/*! \brief

 *

 * 

 * 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.   

 * 

 */

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;    

}