Is there an alternative to using time to seed a random number generation?

Question

I\'m trying to run several instances of a piece of code (2000 instances or so) concurrently in a computing cluster. The way it works is that I submit the jobs and the clust

Answer 1

If C++11 can be used then consider std::random_device. I would suggest you to watch link for a comprehensive guide.

Extracting the essential message from the video link : You should never use srand & rand, but instead use std::random_device and std::mt19937 -- for most cases, the following would be what you want:

#include 
#include 
int main() {
    std::random_device rd;
    std::mt19937 mt(rd());
    std::uniform_int_distribution dist(0,99);
    for (int i = 0; i < 16; i++) {
        std::cout << dist(mt) << " ";
    }
    std::cout << std::endl;
}