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2018 | OriginalPaper | Buchkapitel

A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method

verfasst von : Yann Barsamian, Arthur Charguéraud, Alain Ketterlin

Erschienen in: Parallel Processing and Applied Mathematics

Verlag: Springer International Publishing

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Abstract

The Particle-in-Cell (PIC) method allows solving partial differential equation through simulations, with important applications in plasma physics. To simulate thousands of billions of particles on clusters of multicore machines, prior work has proposed hybrid algorithms that combine domain decomposition and particle decomposition with carefully optimized algorithms for handling particles processed on each multicore socket. Regarding the multicore processing, existing algorithms either suffer from suboptimal execution time, due to sorting operations or use of atomic instructions, or suffer from suboptimal space usage. In this paper, we propose a novel parallel algorithm for two-dimensional PIC simulations on multicore hardware that features asymptotically-optimal memory consumption, and does not perform unnecessary accesses to the main memory. In practice, our algorithm reaches 65% of the maximum bandwidth, and shows excellent scalability on the classical Landau damping and two-stream instability test cases.

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Vorheriges Kapitel Fast DEM Collision Checks on Multicore Nodes

Nächstes Kapitel Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems

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Titel: A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method
verfasst von: Yann Barsamian
Arthur Charguéraud
Alain Ketterlin
Verlag: Springer International Publishing
Buch: Parallel Processing and Applied Mathematics
Print ISBN: 978-3-319-78023-8

Electronic ISBN: 978-3-319-78024-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-78024-5_13

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