I'm trying to learn how to use OpenMP by parallelizing a monte carlo code that calculates the value of PI with a given number of iterations. The meat of the code is this:
int chunk = CHUNKSIZE;
count=0;
#pragma omp parallel shared(chunk,count) private(i)
{
#pragma omp for schedule(dynamic,chunk)
for ( i=0; i<niter; i++) {
x = (double)rand()/RAND_MAX;
y = (double)rand()/RAND_MAX;
z = x*x+y*y;
if (z<=1) count++;
}
}
pi=(double)count/niter*4;
printf("# of trials= %d , estimate of pi is %g \n",niter,pi);
Though this is not yielding the proper value for pi given 10,000 iterations. If all the OpenMP stuff is taken out, it works fine. I should mention that I used the monte carlo code from here: http://www.dartmouth.edu/~rc/classes/soft_dev/C_simple_ex.html
I'm just using it to try to learn OpenMP. Any ideas why it's converging on 1.4ish? Can I not increment a variable with multiple threads? I'm guessing the problem is with the variable count
.
Thanks!
Okay, I found the answer. I needed to use the REDUCTION clause. So all I had to modify was:
#pragma omp parallel shared(chunk,count) private(i)
to:
#pragma omp parallel shared(chunk) private(i,x,y,z) reduction(+:count)
Now it's converging at 3.14...yay
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