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| Home > Publications database > Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures |
| Contribution to a conference proceedings | FZJ-2024-06385 |
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2024
Society for Industrial and Applied Mathematics
Philadelphia, PA
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Please use a persistent id in citations: doi:10.1137/1.9781611977967.3 doi:10.34734/FZJ-2024-06385
Abstract: We perform a scaling and performance portability study of the electrostatic particle-in-cell scheme for plasma physics applications through a set of mini-apps we name “Alpine”, which can make use of exascale computing capabilities. The mini-apps are based on IPPL, a framework that is designed around performance portable and dimensionality independent particles and fields. We benchmark the simulations with varying parameters, such as grid resolutions ($512^3$ to $2048^3$) and number of simulation particles ($10^9$ to $10^{11}$), with the following mini-apps: weak and strong Landau damping, bump-on-tail and two-stream instabilities, and the dynamics of an electron bunch in a charge-neutral Penning trap. We show strong and weak scaling and analyze the performance of different components on several pre-exascale architectures, such as Piz-Daint, Cori, Summit, and Perlmutter. While the scaling and portability study helps to identify the performance critical components of the particle-in-cell scheme on the current state-of-the-art computing architectures, the mini-apps by themselves can be used to develop new algorithms and optimize their high performance implementations targeting exascale architectures.
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