/** \file opennl/superlu/ssp_blas3.c * \ingroup opennl */ /* * -- 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 "ssp_defs.h" #include "util.h" int sp_sgemm(char *transa, int n, float alpha, SuperMatrix *A, float *b, int ldb, float beta, float *c, int ldc) { /* 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 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; }