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- /*
- * -- High Performance Computing Linpack Benchmark (HPL)
- * HPL - 2.0 - September 10, 2008
- * Antoine P. Petitet
- * University of Tennessee, Knoxville
- * Innovative Computing Laboratory
- * (C) Copyright 2000-2008 All Rights Reserved
- *
- * -- Copyright notice and Licensing terms:
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- *
- * 1. Redistributions of source code must retain the above copyright
- * notice, this list of conditions and the following disclaimer.
- *
- * 2. Redistributions in binary form must reproduce the above copyright
- * notice, this list of conditions, and the following disclaimer in the
- * documentation and/or other materials provided with the distribution.
- *
- * 3. All advertising materials mentioning features or use of this
- * software must display the following acknowledgement:
- * This product includes software developed at the University of
- * Tennessee, Knoxville, Innovative Computing Laboratory.
- *
- * 4. The name of the University, the name of the Laboratory, or the
- * names of its contributors may not be used to endorse or promote
- * products derived from this software without specific written
- * permission.
- *
- * -- Disclaimer:
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- * ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY
- * OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
- * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
- * DATA OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- * ---------------------------------------------------------------------
- */
- /*
- * Include files
- */
- #include "hpl.h"
- #ifdef STDC_HEADERS
- void HPL_dmatgen
- (
- const int M,
- const int N,
- double * A,
- const int LDA,
- const int ISEED
- )
- #else
- void HPL_dmatgen
- ( M, N, A, LDA, ISEED )
- const int M;
- const int N;
- double * A;
- const int LDA;
- const int ISEED;
- #endif
- {
- /*
- * Purpose
- * =======
- *
- * HPL_dmatgen generates (or regenerates) a random matrix A.
- *
- * The pseudo-random generator uses the linear congruential algorithm:
- * X(n+1) = (a * X(n) + c) mod m as described in the Art of Computer
- * Programming, Knuth 1973, Vol. 2.
- *
- * Arguments
- * =========
- *
- * M (input) const int
- * On entry, M specifies the number of rows of the matrix A.
- * M must be at least zero.
- *
- * N (input) const int
- * On entry, N specifies the number of columns of the matrix A.
- * N must be at least zero.
- *
- * A (output) double *
- * On entry, A points to an array of dimension (LDA,N). On exit,
- * this array contains the coefficients of the randomly
- * generated matrix.
- *
- * LDA (input) const int
- * On entry, LDA specifies the leading dimension of the array A.
- * LDA must be at least max(1,M).
- *
- * ISEED (input) const int
- * On entry, ISEED specifies the seed number to generate the
- * matrix A. ISEED must be at least zero.
- *
- * ---------------------------------------------------------------------
- */
- /*
- * .. Local Variables ..
- */
- int iadd[2], ia1[2], ic1[2], iran1[2],
- jseed[2], mult[2];
- int i, incA = LDA - M, j;
- /* ..
- * .. Executable Statements ..
- */
- if( ( M <= 0 ) || ( N <= 0 ) ) return;
- /*
- * Initialize the random sequence
- */
- mult [0] = HPL_MULT0; mult [1] = HPL_MULT1;
- iadd [0] = HPL_IADD0; iadd [1] = HPL_IADD1;
- jseed[0] = ISEED; jseed[1] = 0;
- HPL_xjumpm( 1, mult, iadd, jseed, iran1, ia1, ic1 );
- HPL_setran( 0, iran1 ); HPL_setran( 1, ia1 ); HPL_setran( 2, ic1 );
- /*
- * Generate an M by N matrix
- */
- for( j = 0; j < N; A += incA, j++ )
- for( i = 0; i < M; A++, i++ ) *A = HPL_rand();
- /*
- * End of HPL_dmatgen
- */
- }
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