I am using the RNG provided by C++11 and I am also toying around with OpenMP. I have assigned an engine to each thread and as a test I give the same seed to each engine. This means that I would expect both threads to yield the exact same sequence of randomly generated numbers. Here is a MWE:
#include <iostream>
#include <random>
using namespace std;
uniform_real_distribution<double> uni(0, 1);
normal_distribution<double> nor(0, 1);
int main()
{
#pragma omp parallel
{
mt19937 eng(0); //GIVE EACH THREAD ITS OWN ENGINE
vector<double> vec;
#pragma omp for
for(int i=0; i<5; i++)
{
nor(eng);
vec.push_back(uni(eng));
}
#pragma omp critical
cout << vec[0] << endl;
}
return 0;
}
Most often I get the output 0.857946 0.857946, but a few times I get 0.857946 0.592845. How is the latter result possible, when the two threads have identical, uncorrelated engines?!
You have to put nor and uni inside the omp parallel region too. Like this:
#pragma omp parallel
{
uniform_real_distribution<double> uni(0, 1);
normal_distribution<double> nor(0, 1);
mt19937 eng(0); //GIVE EACH THREAD ITS OWN ENGINE
vector<double> vec;
Otherwise there will only be one copy of each, when in fact every thread needs its own copy.
Updated to add: I now see that exactly the same problem is discussed in this stackoverflow thread.
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