• DocumentCode
    110189
  • Title

    Parallel Random Numbers, Simulation, and Reproducible Research

  • Author

    Hill, David R. C.

  • Volume
    17
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    66
  • Lastpage
    71
  • 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;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2015.79
  • Filename
    7131416