HiPACE plus plus : A portable, 3D quasi-static particle-in-cell code

Modeling plasma accelerators is a computationally challenging task and the quasi-static particle-in-cell algorithm is a method of choice in a wide range of situations. In this work, we present the first performance-portable, quasi-static, three-dimensional particle-in-cell code HiPACE++. By decomposing all the computation of a 3D domain in successive 2D transverse operations and choosing appropriate memory management, HiPACE++ demonstrates orders-of-magnitude speedups on modern scientific GPUs over CPU-only implementations. The 2D transverse operations are performed on a single GPU, avoiding time-consuming communications. The longitudinal parallelization is done through temporal domain decomposition, enabling near-optimal strong scaling from 1 to 512 GPUs. HiPACE++ is a modular, open-source code enabling efficient modeling of plasma accelerators from laptops to state-of-the-art supercomputers. Program summary Program Title: HiPACE++ CPC Library link to program files: https://doi .org /10 .17632 /zh3rc7hvrm .1 Developer's repository link: HiPACE++ GitHub repository Licensing provisions: BSD 3-clause Programming language: C++ Nature of problem: Modeling plasma accelerators is a computationally challenging task requiring nanometer-scale resolutions over meter-scale propagation distances. The quasi-static particle-in-cell method enables high-fidelity simulations of this strongly non-linear process, but these simulations can be very expensive. Solution method: The quasi-static particle-in-cell algorithm is modified to enable efficient utilization of accelerated hardware, in particular with GPU computing, reducing the cost of simulations by orders of magnitude. A novel longitudinal parallelization enables excellent strong scaling of this method up to hundreds of GPUs. (C) 2022 The Author(s). Published by Elsevier B.V.

Automated summary

In this work, the researchers present HiPACE++, a performance-portable, quasi-static, three-dimensional particle-in-cell code for modeling plasma accelerators. By decomposing the computation into 2D transverse operations and utilizing GPUs, HiPACE++ achieves significant speedups over CPU-only implementations. The code supports parallelization across multiple GPUs and is suitable for a wide range of computational devices.