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Title: Implementation of a Particle Accelerator Beam Dynamics Code on Multi-Node GPUs

Journal Article · · Journal of Software Engineering and Applications
 [1];  [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chinese Academy of Sciences, Beijing (China). Inst. of High Energy Physics, Key Lab. of Particle Acceleration Physics and Technology
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
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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.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1570231
Journal Information:
Journal of Software Engineering and Applications, Vol. 12, Issue 9; ISSN 1945-3116
Publisher:
Scientific Research Publishing Inc. (SCIRP)Copyright Statement
Country of Publication:
United States
Language:
English

Figures / Tables (13)

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Related Subjects

43 PARTICLE ACCELERATORS
particle accelerator
Particle-In-Cell
GPU
parallel beam dynamics simulation