Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors

Abstract : Parallel stochastic simulations tend to exploit more and more computing power and they are now also developed for General Purpose Graphics Process Units (GP-GPUs). Conse-quently, they need reliable random sources to feed their applications. We propose a survey of the current Pseudo Random Numbers Generators (PRNG) available on GPU. We give a particular focus to the recent Mersenne Twister for Graphics Processors (MTGP) that has just been released. Our work provides empirically checked statuses designed to initialize a particular configuration of this generator, in order to prevent any potential bias introduced by the parallelization of the PRNG.
Type de document :
Communication dans un congrès
European Simulation and Modelling 2010, Oct 2010, Essen, Belgium. pp.187 - 195, 2010
Liste complète des métadonnées

https://hal.inria.fr/hal-01083150
Contributeur : Jonathan Passerat-Palmbach <>
Soumis le : jeudi 29 janvier 2015 - 23:58:48
Dernière modification le : jeudi 11 janvier 2018 - 06:16:31

Fichiers

esm2010_frree.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

  • HAL Id : hal-01083150, version 2
  • ARXIV : 1501.07701

Citation

Jonathan Passerat-Palmbach, Claude Mazel, Antoine Mahul, David Hill. Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors. European Simulation and Modelling 2010, Oct 2010, Essen, Belgium. pp.187 - 195, 2010. 〈hal-01083150v2〉

Partager

Métriques

Consultations de la notice

204

Téléchargements de fichiers

93