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See detailPolitiques de synchronisation dans les systèmes multi-agents distribués parallèles
Rousset, Alban UL; Breugnot, Paul; Herrmann, Bénédicte et al

in Rousset, Alban (Ed.) Politiques de synchronisation dans les systèmes multi-agents distribués parallèles (2020, June 29)

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is ... [more ▼]

Among simulation or modelisation methods, multi-agent systems are an interesting candidate to simulate complex systems. As the size of the model's increases, the use of parallel multi-agent systems is mandatory but comes with many issues. In this article, we are interested in the impact of synchronization on models design and on their execution. We highlight synchronization problems through model instances then we experimentally analyze the impact of synchronization on large scale test cases. [less ▲]

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See detailNested Graphs: a model to efficiently distribute multi-agent systems on HPC clusters
Rousset, Alban UL; Herrmann, Bénédicte; Lang, Christophe et al

in Concurrency & Computation : Practice & Experience (2017), 30(7), 22

Computational simulation is becoming increasingly important in numerous research fields. Depending on the modeled system, several methods such as differential equations or Monte-Carlo simulations may be ... [more ▼]

Computational simulation is becoming increasingly important in numerous research fields. Depending on the modeled system, several methods such as differential equations or Monte-Carlo simulations may be used to represent the system behavior. The amount of computation and memory needed to run a simulation depends on its size and precision and large simulations usually lead to long runs thus requiring to adapt the model to a parallel system. Complex systems are often simulated using Multi-agent systems (MAS). While linear system based models benefit from a large set of tools to take advantage of parallel resources, multi-agent systems suffer from a lack of platforms that ease the use of such resources. In this paper, we propose the use of Nested Graphs for a new modeling approach that allows the design of large, complex and multi-scale multi-agent models which can efficiently be distributed on parallel resources. Nested Graphs are formally defined and are illustrated on the well-known predator-prey model. We also introduce PDMAS (Parallel and Distributed Multi-Agent System) a platform that implements the Nested Graph modeling approach to ease the distribution of multi-agent models on High Performance Computing clusters. Performance results are presented to validate the efficiency of the resulting models. [less ▲]

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