%0 Conference Paper
%A Muralikrishnan, Sriramkrishnan
%A Frey, Matthias
%A Vinciguerra, Alessandro
%A Ligotino, Michael
%A Cerfon, Antoine J.
%A Stoyanov, Miroslav
%A Gayatri, Rahulkumar
%A Adelmann, Andreas
%T Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
%C Philadelphia, PA
%I Society for Industrial and Applied Mathematics
%M FZJ-2024-06385
%P 26-38
%D 2024
%X 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.
%B SIAM Conference on Parallel Processing for Scientific Computing
%C 5 Mar 2024 - 8 Mar 2024, Baltimore (USA)
Y2 5 Mar 2024 - 8 Mar 2024
M2 Baltimore, USA
%F PUB:(DE-HGF)8
%9 Contribution to a conference proceedings
%R 10.1137/1.9781611977967.3
%U https://juser.fz-juelich.de/record/1032619