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Contributions à la parallélisation de méthodes de type transport Monte-Carlo

Abstract : Monte Carlo particle transport applications consist in studying the behaviour of particles moving about a simulation domain. Particles distribution among simulation domains is not uniform and change dynamically during simulation. The parallelization of this kind of applications on massively parallel architectures leads to solve a complex issue of workloads and data balancing among numerous compute cores.We started by identifying parallelization pitfalls of Monte Carlo particle transport applications using theoretical and experimental analysis of reference parallelization methods. A semi-dynamic based on partitioning techniques has been proposed then. Finally, we defined a dynamic approach able to redistribute workloads and data keeping a low communication volume. The dynamic approach obtains speedups using strong scaling and a memory footprint reduction compared to the perfectly balanced domain replication method.
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Submitted on : Tuesday, January 30, 2018 - 11:17:45 AM
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Thomas Gonçalves. Contributions à la parallélisation de méthodes de type transport Monte-Carlo. Base de données [cs.DB]. Université Grenoble Alpes, 2017. Français. ⟨NNT : 2017GREAM047⟩. ⟨tel-01696214⟩

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