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Efficient parallelization for 3D-3V sparse grid Particle-In-Cell: Single GPU architectures *
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DOI：10.1016/j.cpc.2023.108755.png)
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摘要
En 中文
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.
Keyword:
Plasma physics
Particle -In -Cell (PIC)
Sparse grids
Sparse grid combination technique
Parallelization
GPU
OpenACC
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期刊
IF:
3.4
论文数:
1.2W
被引数:
3.7W
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