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
Link To Document :
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