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024 7 _ |a 10.1137/1.9781611977967.3
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024 7 _ |a 10.34734/FZJ-2024-06385
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037 _ _ |a FZJ-2024-06385
100 1 _ |a Muralikrishnan, Sriramkrishnan
|0 P:(DE-Juel1)195613
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|e Corresponding author
111 2 _ |a SIAM Conference on Parallel Processing for Scientific Computing
|g PP24
|c Baltimore
|d 2024-03-05 - 2024-03-08
|w USA
245 _ _ |a Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
260 _ _ |a Philadelphia, PA
|c 2024
|b Society for Industrial and Applied Mathematics
300 _ _ |a 26-38
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a 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.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
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588 _ _ |a Dataset connected to CrossRef Book
700 1 _ |a Frey, Matthias
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700 1 _ |a Vinciguerra, Alessandro
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700 1 _ |a Ligotino, Michael
|0 P:(DE-HGF)0
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700 1 _ |a Cerfon, Antoine J.
|0 P:(DE-HGF)0
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700 1 _ |a Stoyanov, Miroslav
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700 1 _ |a Gayatri, Rahulkumar
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700 1 _ |a Adelmann, Andreas
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773 _ _ |a 10.1137/1.9781611977967.3
856 4 _ |u https://epubs.siam.org/doi/abs/10.1137/1.9781611977967.3
856 4 _ |u https://juser.fz-juelich.de/record/1032619/files/1.9781611977967.3.pdf
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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914 1 _ |y 2024
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