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Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host–parasite system
Author(s) -
Langlais M.,
Latu G.,
Roman J.,
Silan P.
Publication year - 2003
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.784
Subject(s) - computer science , host (biology) , context (archaeology) , parallel computing , monte carlo method , stochastic simulation , code (set theory) , simulation , cluster (spacecraft) , programming language , ecology , mathematics , paleontology , statistics , set (abstract data type) , biology
We are interested in a host–parasite system, i.e. the sea bass– Diplectanum aequans system. A discrete mathematical model is used to describe the dynamics of both populations. Our goal is notably to validate the model in the context of aquaculture. A deterministic numerical simulator and, recently, a stochastic simulator were developed to study this biological system. Parallelization is required because the 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 symmetric multi‐processor (SMP) nodes. Qualitative results are given for the host–macroparasite system simulation. Copyright © 2003 John Wiley & Sons, Ltd.