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