Parallelizing AT with open multi-processing and MPI

被引：0

作者：

Luo Cheng-Ming ^{[1
,2
]}

Tian Shun-Qiang ^{[1
]}

Wang Kun ^{[1
]}

Zhang Man-Zhou ^{[1
]}

Zhang Qing-Lei ^{[1
,2
]}

Jiang Bo-Cheng ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

NUCLEAR SCIENCE AND TECHNIQUES | 2015年 / 26卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Accelerator Toolbox; Open multi-processing; Message passing interface; Parallel computing; STORAGE-RING;

D O I：

暂无

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

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 nonuniform 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.

引用

页数：4

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