/*! @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; }