CSC/ECE 506 Spring 2015/37 mr: Difference between revisions
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# Example 1 | # Example 1 | ||
# Example 2 | # Example 2 | ||
Parallelize the code below using loop distribution | '''Parallelize the code below using loop distribution''' | ||
== for (i=0; i<n; i++) { == | |||
S1: a[i] = b[i-1] * a[i+1]; | S1: a[i] = b[i-1] * a[i+1]; | ||
S2: b[i] = b[i] * 3; | S2: b[i] = b[i] * 3; |
Revision as of 02:35, 29 January 2015
- Example 1
- Example 2
Parallelize the code below using loop distribution
for (i=0; i<n; i++) {
S1: a[i] = b[i-1] * a[i+1]; S2: b[i] = b[i] * 3; S3: c[i] = .2 * (c[i-1] * c[i]); }
After loop distribution
for(i=0; i < n; i++)
S1: a[i] = b[i-1] * a[i+1];
for(i=0; i < n; i++)
S3: c[i] = .2* c[i-1] * c[i];
for(i=0; i < n; i++)
S2: b[i] = b[i] * 3; Now write the parallelized code in openMP using C++
- pragma omp parallel shared(a,b,c)private(i){
#pragma omp sections nowait { #pragma omp section for(i=0; i < n; i++) a[i] = b[i-1] * a[i+1];
#pragma omp section for(i=0; i<n; i++) c[i] = .2* c[i-1]*c[i];
#pragma omp section for(i=0; i < n; i++) b[i] = b[i] * 3; }//end omp sections
} //end omp parallel