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Stochastic Simulation of a Marine Host-Parasite System Using a Hybrid MPI/OpenMP Programming
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Stochastic Simulation of a Marine Host-Parasite System Using a Hybrid MPI/OpenMP Programming
Michel Langlais5  , Guillaume Latu6 , Jean Roman6 and Patrick Silan7
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MAB, UMR CNRS 5466, Université Bordeaux 2, 146 Léo Saignat, 33076 Bordeaux Cedex, France |
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LaBRI, UMR CNRS 5800, Université Bordeaux 1 & ENSEIRB 351, cours de la Libération, 33405 Talence, France |
| (7) |
UMR CNRS 5000, Université Montpellier II, Station Méditerranéenne de l’Environnement Littoral, 1 Quai de la Daurade, 34200 Sète, France |
Abstract
We are interested in a host-parasite system occuring in fish farms, i.e. the sea bass - Diplectanum aequans system. A discrete mathematical model is used to describe the dynamics of both populations. A deterministic numerical simulator
and, lately, a stochastic simulator were developed to study this biological system. Parallelization is required because execution
times are too long. The Monte Carlo algorithm of the stochastic simulator and its three levels of parallelism are described.
Analysis and performances, up to 256 processors, of a hybrid MPI/OpenMP code are then presented for a cluster of SMP nodes.
Qualitative results are given for the host-parasite system.
Research action ScAlApplix supported by INRIA.
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