C++ Parallelization Libraries: OpenMP vs. Thread Building Blocks [closed]

Answer 1

In Visual Studio 2008, you can add the following line to parallelize any "for" loop. It even works with multiple nested for loops. Here is an example:

#pragma omp parallel for private(i,j)
for (i=0; i p[i].pbestFitness)
  { 
     p[i].pbestFitness = p[i].fitness;
     for (j=0; j

After we added the #pragma omp parallel, both cores on my Core 2 Duo were used to their maximum capacity, so total CPU usage went from 50% to 100%.