Distributed-Run-Time-Resource-Manager/RCCE_V2.0/apps/XHPL/testing/pmatgen/HPL_pdmatgen.c

/* 
 * -- 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_pdmatgen
(
   const HPL_T_grid *               GRID,
   const int                        M,
   const int                        N,
   const int                        NB,
   double *                         A,
   const int                        LDA,
   const int                        ISEED
)
#else
void HPL_pdmatgen
( GRID, M, N, NB, A, LDA, ISEED )
   const HPL_T_grid *               GRID;
   const int                        M;
   const int                        N;
   const int                        NB;
   double *                         A;
   const int                        LDA;
   const int                        ISEED;
#endif
{
/* 
 * Purpose
 * =======
 *
 * HPL_pdmatgen generates (or regenerates) a parallel 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
 * =========
 *
 * GRID    (local input)                 const HPL_T_grid *
 *         On entry,  GRID  points  to the data structure containing the
 *         process grid information.
 *
 * M       (global input)                const int
 *         On entry,  M  specifies  the number  of rows of the matrix A.
 *         M must be at least zero.
 *
 * N       (global input)                const int
 *         On entry,  N specifies the number of columns of the matrix A.
 *         N must be at least zero.
 *
 * NB      (global input)                const int
 *         On entry,  NB specifies the blocking factor used to partition
 *         and distribute the matrix A. NB must be larger than one.
 *
 * A       (local output)                double *
 *         On entry,  A  points  to an array of dimension (LDA,LocQ(N)).
 *         On exit, this array contains the coefficients of the randomly
 *         generated matrix.
 *
 * LDA     (local input)                 const int
 *         On entry, LDA specifies the leading dimension of the array A.
 *         LDA must be at least max(1,LocP(M)).
 *
 * ISEED   (global 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], ia2  [2], ia3  [2],
                              ia4  [2], ia5  [2], ib1  [2], ib2  [2],
                              ib3  [2], ic1  [2], ic2  [2], ic3  [2],
                              ic4  [2], ic5  [2], iran1[2], iran2[2],
                              iran3[2], iran4[2], itmp1[2], itmp2[2],
                              itmp3[2], jseed[2], mult [2];
   int                        ib, iblk, ik, jb, jblk, jk, jump1, jump2,
                              jump3, jump4, jump5, jump6, jump7, lmb,
                              lnb, mblks, mp, mycol, myrow, nblks,
                              npcol, nprow, nq;
/* ..
 * .. Executable Statements ..
 */
   (void) HPL_grid_info( GRID, &nprow, &npcol, &myrow, &mycol );

   mult [0] = HPL_MULT0; mult [1] = HPL_MULT1;
   iadd [0] = HPL_IADD0; iadd [1] = HPL_IADD1;
   jseed[0] = ISEED;     jseed[1] = 0;
/*
 * Generate an M by N matrix starting in process (0,0)
 */
   Mnumroc( mp, M, NB, NB, myrow, 0, nprow );
   Mnumroc( nq, N, NB, NB, mycol, 0, npcol );

   if( ( mp <= 0 ) || ( nq <= 0 ) ) return;
/*
 * Local number of blocks and size of the last one
 */
   mblks = ( mp + NB - 1 ) / NB; lmb = mp - ( ( mp - 1 ) / NB ) * NB;
   nblks = ( nq + NB - 1 ) / NB; lnb = nq - ( ( nq - 1 ) / NB ) * NB;
/*
 * Compute multiplier/adder for various jumps in random sequence
 */
   jump1 = 1;  jump2 = nprow * NB; jump3 = M; jump4 = npcol * NB;
   jump5 = NB; jump6 = mycol;      jump7 = myrow * NB;

   HPL_xjumpm( jump1, mult, iadd, jseed, iran1, ia1,   ic1   );
   HPL_xjumpm( jump2, mult, iadd, iran1, itmp1, ia2,   ic2   );
   HPL_xjumpm( jump3, mult, iadd, iran1, itmp1, ia3,   ic3   );
   HPL_xjumpm( jump4, ia3,  ic3,  iran1, itmp1, ia4,   ic4   );
   HPL_xjumpm( jump5, ia3,  ic3,  iran1, itmp1, ia5,   ic5   );
   HPL_xjumpm( jump6, ia5,  ic5,  iran1, itmp3, itmp1, itmp2 );
   HPL_xjumpm( jump7, mult, iadd, itmp3, iran1, itmp1, itmp2 );
   HPL_setran( 0, iran1 ); HPL_setran( 1, ia1 ); HPL_setran( 2, ic1 );
/*
 * Save value of first number in sequence
 */
   ib1[0] = iran1[0]; ib1[1] = iran1[1];
   ib2[0] = iran1[0]; ib2[1] = iran1[1];
   ib3[0] = iran1[0]; ib3[1] = iran1[1];

   for( jblk = 0; jblk < nblks; jblk++ )
   {
      jb = ( jblk == nblks - 1 ? lnb : NB );
      for( jk = 0; jk < jb; jk++ )
      {
         for( iblk = 0; iblk < mblks; iblk++ )
         {
            ib = ( iblk == mblks - 1 ? lmb : NB );
            for( ik = 0; ik < ib; A++, ik++ ) *A = HPL_rand();
            HPL_jumpit( ia2, ic2, ib1, iran2 );
            ib1[0] = iran2[0]; ib1[1] = iran2[1];
         }
         A += LDA - mp;
         HPL_jumpit( ia3, ic3, ib2, iran3 );
         ib1[0] = iran3[0]; ib1[1] = iran3[1];
         ib2[0] = iran3[0]; ib2[1] = iran3[1];
      }
      HPL_jumpit( ia4, ic4, ib3, iran4 );
      ib1[0] = iran4[0]; ib1[1] = iran4[1];
      ib2[0] = iran4[0]; ib2[1] = iran4[1];
      ib3[0] = iran4[0]; ib3[1] = iran4[1];
   }
/*
 * End of HPL_pdmatgen
 */
}