Reference : Nested Graphs: a model to efficiently distribute multi-agent systems on HPC clusters
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/36162
Nested Graphs: a model to efficiently distribute multi-agent systems on HPC clusters
English
Rousset, Alban mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Herrmann, Bénédicte mailto [Femto-ST Institute, Univ. Bourgogne Franche-Comté/CNRS Besançon - France]
Lang, Christophe mailto [Femto-ST Institute, Univ. Bourgogne Franche-Comté/CNRS Besançon - France]
Philippe, Laurent mailto [Femto-ST Institute, Univ. Bourgogne Franche-Comté/CNRS Besançon - France]
Bride, Hadrien mailto [Femto-ST Institute, Univ. Bourgogne Franche-Comté/CNRS Besançon - France]
7-Nov-2017
Concurrency & Computation : Practice & Experience
John Wiley & Sons, Inc. -
30
7
22
Yes (verified by ORBilu)
International
1532-0626
1532-0634
[en] High Performance Computing ; multi-agent simulation ; Nested Graph ; parallel
[en] 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.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/36162
https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.4407

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