Symplectic multi-particle tracking on gpus
文献类型：期刊论文
| 作者 | Liu, Zhicong1,2,3; Qiang, Ji2 |
| 刊名 | Computer physics communications
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 226页码:10-17 |
| ISSN号 | 0010-4655 |
| 关键词 | Particle accelerator Symplectic Multi-particle tracking Gpu |
| 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 |
| URI标识 | http://www.irgrid.ac.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. |
入库方式： iSwitch采集
来源：高能物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。