Parallelizing AT with open multi-processing and MPI

Cheng-Ming LUO; Shun-Qiang TIAN; Kun WANG; Man-Zhou ZHANG; Qing-Lei ZHANG; Bo-Cheng JIANG

doi:10.13538/j.1001-8042/nst.26.030104

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Parallelizing AT with open multi-processing and MPI

SYNCHROTRON RADIATION TECHNOLOGY AND APPLICATIONS | Updated：2021-01-20

- Parallelizing AT with open multi-processing and MPI
- Nuclear Science and Techniques Vol. 26, Issue 3, Article number: 030104(2015)
- Affiliations：
  
  1.Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
  2.University of Chinese Academy of Sciences, Beijing 100049, China
- Author bio：
  
  Corresponding author,jiangbocheng@sinap.ac.cn
- Funds：
- DOI：10.13538/j.1001-8042/nst.26.030104
  CLC：
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Cheng-Ming LUO, Shun-Qiang TIAN, Kun WANG, et al. Parallelizing AT with open multi-processing and MPI. [J]. Nuclear Science and Techniques 26(3):030104(2015)
DOI：

Cheng-Ming LUO, Shun-Qiang TIAN, Kun WANG, et al. Parallelizing AT with open multi-processing and MPI. [J]. Nuclear Science and Techniques 26(3):030104(2015) DOI： 10.13538/j.1001-8042/nst.26.030104.

摘要

Abstract

Simulating charged particle motion through the elements is necessary to understand modern particle accelerators. The particle numbers and the circling turns in a synchrotron are huge, and a simulation can be time-consuming. Open multi-processing (OpenMP) is a convenient method to speed up the computing of multi-cores for computers based on share memory model. Using message passing interface (MPI) which is based on non-uniform memory access architecture, a coarse grain parallel algorithm is set up for the Accelerator Toolbox (AT) for dynamic tracking processes. The computing speedup of the tracking process is 3.77 times with a quad-core CPU computer and the speed almost grows linearly with the number of CPU.

关键词

Keywords

Accelerator ToolboxOpen multi-processingMessage passing interfaceParallel computing

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