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	Symplectic multi-particle tracking on gpus
	Liu, Zhicong1,2,3; Qiang, Ji2
刊名	Computer physics communications
	2018-05-01
卷号	226页码:10-17
关键词	Particle accelerator Symplectic Multi-particle tracking Gpu
ISSN号	0010-4655
DOI	10.1016/j.cpc.2018.02.001
通讯作者	Qiang, ji(jqiang@lbl.gov)
英文摘要	A symplectic multi-particle tracking model is implemented on the graphic processing units (gpus) using the compute unified device architecture (cuda) language. the symplectic tracking model can preserve phase space structure and reduce non-physical effects in long term simulation, which is important for beam property evaluation in particle accelerators. though this model is computationally expensive, it is very suitable for parallelization and can be accelerated significantly by using gpus. in this paper, we optimized the implementation of the symplectic tracking model on both single gpu and multiple gpus. using a single gpu processor, the code achieves a factor of 2-10 speedup for a range of problem sizes compared with the time on a single state-of-the-art central processing unit (cpu) node with similar power consumption and semiconductor technology. it also shows good scalability on a multi-gpu cluster at oak ridge leadership computing facility. in an application to beam dynamics simulation, the gpu implementation helps save more than a factor of two total computing time in comparison to the cpu implementation. published by elsevier b.v.
WOS关键词	IN-CELL CODE ; PARTICLE ; ACCELERATORS ; SIMULATIONS ; INTEGRATION
WOS研究方向	Computer Science ; Physics
WOS类目	Computer Science, Interdisciplinary Applications ; Physics, Mathematical
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000428483000002
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2178147
专题	高能物理研究所
通讯作者	Qiang, Ji
作者单位	1.Chinese Acad Sci, Inst High Energy Phys, Key Lab Particle Accelerat Phys & Technol, Beijing 100049, Peoples R China 2.Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Zhicong,Qiang, Ji. Symplectic multi-particle tracking on gpus[J]. Computer physics communications,2018,226:10-17.
APA	Liu, Zhicong,&Qiang, Ji.(2018).Symplectic multi-particle tracking on gpus.Computer physics communications,226,10-17.
MLA	Liu, Zhicong,et al."Symplectic multi-particle tracking on gpus".Computer physics communications 226(2018):10-17.

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