GPU-MPI parallelisation for QuickPIC, a three-dimensional quasi-static particle-in-cell algorithm

QuickPIC is a quasi-static PIC program for simulating plasma wakefield acceleration. It supports a hybrid parallel simulation on multiple central processing units via OpenMP and message passing interface (MPI). We now present a version of QuickPIC that runs on graphics processing units (GPU), with MPI for communication between different GPUs, based on the UCLA Parallel Partice-In-Cell framework. By rewriting relevant Fortran77 functions with CUDA C, we port the two-dimensional particle and field computations onto GPU platforms. QuickPIC-GPU supports simulation with a single GPU for up to a resolution of 1024 cubed <mml:math xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mnf="http://cambridge.org/core/manifest" xmlns:cup="http://contentservices.cambridge.org" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://cambridge.org/core/metadata" xmlns:core="http://cambridge.org/core" xmlns:c="http://cambridge.org/core/content"> <mml:msup> <mml:mn>1024</mml:mn> <mml:mn>3</mml:mn> </mml:msup> </mml:math> $1024^3$ and 25 particles per cell to avoid time spent on cross-processor communications, and simulation with multiple GPUs for larger problem sizes.

Authors

Institutions

Publication Details

Journal
Journal of Plasma Physics
Published
2026-07-28
DOI
https://doi.org/10.1017/s0022377826102001
Primary Topic
Laser-Plasma Interactions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GPU-MPI parallelisation for QuickPIC, a three-dimensional quasi-static particle-in-cell algorithm

F. S. Tsung, W. B. Mori, Weiming An, Yueluo Wang et al.
Journal of Plasma Physics
Laser-Plasma Interactions and Diagnostics
article

GPU-MPI parallelisation for QuickPIC, a three-dimensional quasi-static particle-in-cell algorithm

F. S. Tsung, W. B. Mori, Weiming An, Yueluo Wang, Thamine Dalichaouch, Viktor Decyk, Yueran Tian
article en

Abstract

QuickPIC is a quasi-static PIC program for simulating plasma wakefield acceleration. It supports a hybrid parallel simulation on multiple central processing units via OpenMP and message passing interface (MPI). We now present a version of QuickPIC that runs on graphics processing units (GPU), with MPI for communication between different GPUs, based on the UCLA Parallel Partice-In-Cell framework. By rewriting relevant Fortran77 functions with CUDA C, we port the two-dimensional particle and field computations onto GPU platforms. QuickPIC-GPU supports simulation with a single GPU for up to a resolution of 1024 cubed <mml:math xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mnf="http://cambridge.org/core/manifest" xmlns:cup="http://contentservices.cambridge.org" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://cambridge.org/core/metadata" xmlns:core="http://cambridge.org/core" xmlns:c="http://cambridge.org/core/content"> <mml:msup> <mml:mn>1024</mml:mn> <mml:mn>3</mml:mn> </mml:msup> </mml:math> $1024^3$ and 25 particles per cell to avoid time spent on cross-processor communications, and simulation with multiple GPUs for larger problem sizes.

Journal of Plasma PhysicsVol. 92(4)
University of California, Los Angeles (US), Peking University (CN), Beijing Normal University (CN)
Openalex Percentile: Top 11%
Laser-Plasma Interactions and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.