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Monte Carlo Simulation With The GATE Software Using Grid Computing

Abstract : Monte Carlo simulations needing many replicates to obtain good statistical results can be easily executed in parallel using the "Multiple Replications In Parallel" approach. However, several precautions have to be taken in the generation of the parallel streams of pseudo-random numbers. In this paper, we present the distribution of Monte Carlo simulations performed with the GATE software using local clusters and grid computing. We obtained very convincing results with this large medical application, thanks to the EGEE Grid (Enabling Grid for E-sciencE), achieving in one week computations that could have taken more than 3 years of processing on a single computer. This work has been achieved thanks to a generic object-oriented toolbox called DistMe which we designed to automate this kind of parallelization for Monte Carlo simulations. This toolbox, written in Java is freely available on SourceForge and helped to ensure a rigorous distribution of pseudo-random number streams. It is based on the use of a documented XML format for random numbers generators statuses.
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Contributor : Jeanine Pellet <>
Submitted on : Thursday, March 12, 2009 - 4:12:12 PM
Last modification on : Wednesday, April 21, 2021 - 8:52:05 AM
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  • HAL Id : in2p3-00367374, version 1


Romain Reuillon, David R.C. Hill, Christophe Gouinaud, Z. El Bitar, Vincent Breton, et al.. Monte Carlo Simulation With The GATE Software Using Grid Computing. 8ème Conférence Internationale sur les NOuvelles TEchnologies de la REpartition, NOTERE 2008, Jun 2008, Lyon, France. ⟨in2p3-00367374⟩



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