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LOCATION:Foyer 2nd Floor
DTSTART;TZID=Europe/Stockholm:20220628T090000
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UID:submissions.pasc-conference.org_PASC22_sess181_pos120@linklings.com
SUMMARY:P10 - ALPINE: A Set of Portable Plasma Physics Particle-in-Cell Mi
 ni-Apps for Exascale
DESCRIPTION:Poster\n\nP10 - ALPINE: A Set of Portable Plasma Physics Parti
 cle-in-Cell Mini-Apps for Exascale\n\nMuralikrishnan, Frey, Vinciguerra, L
 igotino, Cerfon...\n\nAlpine consists of a set of mini-apps which provide 
 a test bed for implementing new algorithms and/or novel implementations of
  existing algorithms related to particle-in-cell (PIC) schemes in the cont
 ext of exascale architectures in a portable way. Alpine is based on IPPL (
 Independent Parallel Particle Layer) a framework that is designed around p
 erformance portable and dimension independent particles and fields. We con
 sider the following mini-apps which are most commonly used in electrostati
 c PIC studies: linear and non-linear Landau damping, bump-on-tail or two-s
 tream instability and a Penning trap. The mentioned mini-apps are benchmar
 ked with varying grid sizes (512^3-2048^3) and number of simulation partic
 les (10^9-10^{11}). We show strong and weak scaling and analyse the perfor
 mance of different components on several pre-exascale architectures such a
 s Piz-Daint, Cori, Perlmutter and Summit up to thousands of CPU cores and 
 GPUs. This work will serve as a guidance for the plasma PIC community to i
 dentify the major reasons for performance limitations, and better prepare 
 for exascale architectures. So far portable, exascale PIC studies are most
 ly in the context of electromagnetic PIC schemes. To the best of our knowl
 edge this is the first study which considers the performance of electrosta
 tic PIC in such context.
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