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- W2972149039 abstract "Particle accelerators play an important role in a wide range of scientific discoveries and industrial applications. The self-consistent multi-particle simulation based on the particle-in-cell (PIC) method has been used to study charged particle beam dynamics inside those accelerators. However, the PIC simulation is time-consuming and needs to use modern parallel computers for high-resolution applications. In this paper, we implemented a parallel beam dynamics PIC code on multi-node hybrid architecture computers with multiple Graphics Processing Units (GPUs). We used two methods to parallelize the PIC code on multiple GPUs and observed that the replication method is a better choice for moderate problem size and current computer hardware while the domain decomposition method might be a better choice for large problem size and more advanced computer hardware that allows direct communications among multiple GPUs. Using the multi-node hybrid architectures at Oak Ridge Leadership Computing Facility (OLCF), the optimized GPU PIC code achieves a reasonable parallel performance and scales up to 64 GPUs with 16 million particles." @default.
- W2972149039 created "2019-09-12" @default.
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- W2972149039 date "2019-01-01" @default.
- W2972149039 modified "2023-10-16" @default.
- W2972149039 title "Implementation of a Particle Accelerator Beam Dynamics Code on Multi-Node GPUs" @default.
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- W2972149039 doi "https://doi.org/10.4236/jsea.2019.129020" @default.
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