source: CIVL/examples/omp/dataracebench-1.3.2/micro-benchmarks/DRB095-doall2-taskloop-orig-yes.c@ 8190175

/*
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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*/
/* 
Two-dimensional array computation:
Only one loop is associated with omp taskloop. 
The inner loop's loop iteration variable will be shared if it is shared in the enclosing context.
Data race pairs (we allow multiple ones to preserve the pattern):
  Write_set = {j@69:14, j@69:30, a[i][j]@70:11}
  Read_set = {j@69:21, j@69:30, j@70:16, a[i][j]@70:11}
  Any pair from Write_set vs. Write_set  and Write_set vs. Read_set is a data race pair.
*/
#if (_OPENMP<201511)
#error "An OpenMP 4.5 compiler is needed to compile this test."
#endif
#include <stdio.h>
int a[100][100];
int main()
{
  int i, j;
#pragma omp parallel
  {
#pragma omp single
    {
#pragma omp taskloop
      for (i = 0; i < 100; i++)
        for (j = 0; j < 100; j++)
          a[i][j]+=1; 
    }
  }
  printf ("a[50][50]=%d\n", a[50][50]);
  return 0;
}