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Advances in Radio Science An open-access journal of the U.R.S.I. Landesausschuss in der Bundesrepublik Deutschland e.V.
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Volume 12
Adv. Radio Sci., 12, 75-81, 2014
https://doi.org/10.5194/ars-12-75-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Radio Sci., 12, 75-81, 2014
https://doi.org/10.5194/ars-12-75-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Nov 2014

10 Nov 2014

On parallel random number generation for accelerating simulations of communication systems

C. Brugger, S. Weithoffer, C. de Schryver, U. Wasenmüller, and N. Wehn C. Brugger et al.
  • Microelectronic Systems Design Research Group, University of Kaiserslautern, 67663 Kaiserslautern, Germany

Abstract. Powerful compute clusters and multi-core systems have become widely available in research and industry nowadays. This boost in utilizable computational power tempts people to run compute-intensive tasks on those clusters, either for speed or accuracy reasons. Especially Monte Carlo simulations with their inherent parallelism promise very high speedups. Nevertheless, the quality of Monte Carlo simulations strongly depends on the quality of the employed random numbers. In this work we present a comprehensive analysis of state-of-the-art pseudo random number generators like the MT19937 or the WELL generator used for parallel stream generation in different settings. These random number generators can be realized in hardware as well as in software and help to accelerate the analysis (or simulation) of communications systems. We show that it is possible to generate high-quality parallel random number streams with both generators, as long as some configuration constraints are met. We furthermore depict that distributed simulations with those generator types are viable even to very high degrees of parallelism.

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