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GPU-portable Hybrid-VPIC code for multiphysics simulations with kinetic ions

POSTER

Abstract

Hybrid-VPIC [1] is an open-source kinetic-ion/fluid-electron version of the Vector Particle-in-Cell (VPIC) code. Here, we present new Hybrid-VPIC modeling capabilities (https://github.com/lanl/vpic-kokkos/tree/hybridVPIC-K) built on VPIC 2.0 [2], which uses the Kokkos library to achieve high performance and portability to GPU-based machines. The basic collisionless hybrid plasma simulations run 10 to 20 times faster on GPU nodes with 4 GPUs compared to CPU nodes with ~100 cores. In addition, new multiphysics capabilities are being added to the code: Coulomb, charge exchange, and other collision models have been implemented between particles or particles and a fluid species; an interface is under development to allow two-way coupling of the plasma dynamics to radiation transport handled by the Jayenne implicit Monte Carlo code; and an air chemistry model is being developed to treat processes in the upper atmosphere. Example calculations will be shown from space, ionospheric, high energy density laboratory, and magnetic mirror fusion applications.

[1] Le, et al. Physics of plasmas 30.6 (2023).

[2] Bird et al. IEEE Transactions on Parallel and Distributed Systems 33.4 (2021).

Presenters

  • Ari Le

    Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)

Authors

  • Ari Le

    Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)

  • Adam J Stanier

    Los Alamos National Laboratory (LANL), Los Alamos National Laboratory

  • Guangye Chen

    Los Alamos National Laboratory (LANL)

  • Nigel Tan

    LANL

  • Blake A Wetherton

    Los Alamos National Laboratory (LANL)

  • Fan Guo

    Los Alamos National Laboratory (LANL)

  • Xiaocan Li

    Los Alamos National Laboratory (LANL), Los Alamos National Laboratory

  • Trevor V Taylor

    LANL

  • Lin Yin

    Los Alamos National Laboratory (LANL)

  • Irina Sagert

    Los Alamos National Laboratory

  • Ryan T Wollaeger

    Los Alamos National Laboratory (LANL)

  • Sarah Stangl

    Los Alamos National Laboratory (LANL)

  • Mark C Zammit

    Los Alamos National Laboratory (LANL)

  • Misa Cowee

    Los Alamos National Laboratory

  • Aaron Tran

    University of Wisconsin–Madison

  • Sam J Frank

    Realta Fusion, Realta Fusion, Inc