2018
DOI: 10.1002/cpe.4407
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Nested graphs: A model to efficiently distribute multi‐agent systems on HPC clusters

Abstract: Summary 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… Show more

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Cited by 2 publications
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“…Rousset et al presented nested graphs as an approach to model parallel and distributed multi‐agent simulations aiming at facilitating the dynamic distribution of computations among parallel machines. The aforementioned task is successfully achieved due to finer granularity on multiple levels of abstraction.…”
mentioning
confidence: 99%
“…Rousset et al presented nested graphs as an approach to model parallel and distributed multi‐agent simulations aiming at facilitating the dynamic distribution of computations among parallel machines. The aforementioned task is successfully achieved due to finer granularity on multiple levels of abstraction.…”
mentioning
confidence: 99%