Efficient parallelization for 3D-3V sparse grid Particle-In-Cell: Single GPU architectures *
J. Comput. Phys.(2023)
Abstract
In the present paper, an efficient General Purpose Graphical Processing Unit (GPGPU)-based implementation of sparse grid Particle-In-Cell (PIC) methods is proposed. The parallelization, implementing novel strategies specific to sparse-PIC methods and tailored to GPU architectures, provides speed-ups1 as large as 100 on a single Tesla V100 GPU, with respect to sequential Computing Processing unit (CPU) execution; and a four order of magnitude reduction of the computational time in comparison with a standard PIC sequential CPU simulation. In addition, the simple implementation of the parallelization with the OpenACC framework offers portability to a large class of accelerators.(c) 2023 Elsevier B.V. All rights reserved.
MoreTranslated text
Key words
Plasma physics,Particle -In -Cell (PIC),Sparse grids,Sparse grid combination technique,Parallelization,GPU,OpenACC
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined