source: CIVL/examples/omp/dataracebench-1.3.2/micro-benchmarks/DRB060-matrixmultiply-orig-no.c

/*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.

This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.

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  may be used to endorse or promote products derived from this
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
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*/


/* NOTE by WenhaoWu (wuwenhao@udel.edu)
 * This example is modified so that the bound can be adjusted 
 * by defining 'N' and if it isn't defined then the bound value 
 * in the original example is used as the default value of 'N' 
 * - The original 'N' used by this example is replaced by 'L'
 */
#ifndef N
#define N 100
#endif 

/*
Classic i-k-j matrix multiplication
*/

#define L N
#define M N 
#define K N
double a[L][M],b[M][K],c[L][K];
            
int mmm()   
{           
  int i,j,k;
#pragma omp parallel for private(j,k)
  for (i = 0; i < L; i++) 
    for (k = 0; k < K; k++) 
      for (j = 0; j < M; j++)
        c[i][j]= c[i][j]+a[i][k]*b[k][j];
  return 0; 
} 

int main()
{
  mmm();
  return 0;
}