Title :
Parallel Random Numbers, Simulation, and Reproducible Research
Author :
Hill, David R. C.
Abstract :
Parallel and distributed simulation is an area with extensive research into effective solutions. In the context of parallel stochastic simulations, it´s important to know the right techniques for generating parallel pseudorandom numbers. In addition, it´s possible and necessary for anyone wishing to produce a scientific work of quality to pay attention to numerical reproducibility of simulation results. Significant differences are observed in the results of parallel stochastic simulations if practitioners fail to apply best practices. By implementing a rigorous method, it´s possible to reproduce the same numerical results for parallel stochastic simulations and to check them with their sequential counterpart.
Keywords :
digital simulation; parallel processing; random number generation; stochastic systems; parallel pseudorandom numbers; parallel random numbers; parallel stochastic simulations; Computational modeling; Context awareness; Context modeling; Generators; Numerical models; Parallel processing; Stochastic processes; high-performance computing; parallel random numbers; reproducibility; scientific computing; stochastic simulation;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2015.79