forked from bartvdbraak/blender
4f1c674ee0
http://crd.lbl.gov/~xiaoye/SuperLU/ This is a library to solve sparse matrix systems (type A*x=B). It is able to solve large systems very FAST. Only the necessary parts of the library are included to limit file size and compilation time. This means the example files, fortran interface, test files, matlab interface, cblas library, complex number part and build system have been left out. All (gcc) warnings have been fixed too. This library will be used for LSCM UV unwrapping. With this library, LSCM unwrapping can be calculated in a split second, making the unwrapping proces much more interactive. Added OpenNL (Open Numerical Libary): http://www.loria.fr/~levy/OpenNL/ OpenNL is a library to easily construct and solve sparse linear systems. We use a stripped down version, as an interface to SuperLU. This library was kindly given to use by Bruno Levy.
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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