Highly scalable parallel simulator of a host-parasite system
Highly scalable parallel simulator of a host-parasite system
Open access; International audience; This article deals with a performant parallel solution for a host-macroparasite model, both deterministic and stochastic, in a marine environment. Detailed biological phenomena are reproduced, such as spatial and temporal heterogeneities in these populations. A new version of the simulator and a new parallel algorithmic solution are presented. The interdisciplinary work presented here is at the interface of ecology, mathematics and computer science.
fish, high performance computing, parallel algorithmic, host-parasite model, numerical simulation, [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
fish, high performance computing, parallel algorithmic, host-parasite model, numerical simulation, [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
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Views provided by UsageCountsOpen access; International audience; This article deals with a performant parallel solution for a host-macroparasite model, both deterministic and stochastic, in a marine environment. Detailed biological phenomena are reproduced, such as spatial and temporal heterogeneities in these populations. A new version of the simulator and a new parallel algorithmic solution are presented. The interdisciplinary work presented here is at the interface of ecology, mathematics and computer science.