Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host-parasite system
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 (C) 2003 John Wiley Sons, Ltd.
stochastic simulation host-parasite system numerical simulation parallel algorithmics monogenea fish