Random numbers are important elements in stochastic simulations, but they also show up in machine learning and applications of Monte Carlo methods such as within computational finances, fluid dynamics and molecular dynamics. These are classical fields in high-performance computing, which StreamHPC has experience in. A common problem when porting traditional software in these fields to … Continue reading Random Numbers in Parallel Computing: Generation and Reproducibility (Part 1)