Multi-cluster parallel job submission: Experiences with Monte Carlo simulations for computational finance on Grid5000

Ian Stokes-Rees 1 Françoise Baude 1 Viet Dung Doan 1 Mireille Bossy 2
1 OASIS - Active objects, semantics, Internet and security
CRISAM - Inria Sophia Antipolis - Méditerranée , COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
2 TOSCA
INRIA Lorraine, CRISAM - Inria Sophia Antipolis - Méditerranée , UHP - Université Henri Poincaré - Nancy 1, Université Nancy 2, INPL - Institut National Polytechnique de Lorraine, CNRS - Centre National de la Recherche Scientifique : UMR7502
Abstract : As experience with independent and embarassingly parallel computations in a grid environment mature, it has become possible to explore parallel computing on grids with higher levels of inter-task communication. The PicsouGrid project applies grid computing concepts to computational finance, aiming to leverage heterogeneous resources for both time critical and high volume computations. It utilizes the ProActive Java distributed computing library to parallelize and distribute Monte Carlo option pricing simulations, concurrently utilizing 10^2 −10^3 workers. PicsouGrid has been deployed on various grid systems to evaluate its scalability and performance. Issues arising from the heterogeneity and layering of grid infrastructures are addressed via an abstract process model which is applied at each layer. Timings of both the algorithms and the grid infrastructures are carefully measured to provide better insight into the behaviour and utilization of computational grids for this important class of parallel simulation.
Type de document :
Pré-publication, Document de travail
2007
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https://hal.inria.fr/inria-00173360
Contributeur : Ian Stokes-Rees <>
Soumis le : mercredi 19 septembre 2007 - 16:18:21
Dernière modification le : mercredi 31 janvier 2018 - 10:24:04
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  • HAL Id : inria-00173360, version 1

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Ian Stokes-Rees, Françoise Baude, Viet Dung Doan, Mireille Bossy. Multi-cluster parallel job submission: Experiences with Monte Carlo simulations for computational finance on Grid5000. 2007. 〈inria-00173360〉

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