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
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