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Title: Performance Optimization of a Beam Dynamics PIC Code On Hybrid Computer Architectures

Abstract

The self-consistent multi-particle tracking based on particle-in-cell method (PIC) has been widely used in particle accelerator beam dynamics study. However, the PIC simulation is time-consuming and needs to use modern parallel computers for high resolution applications. In this paper, we implemented and optimized a parallel beam dynamics PIC code on two types of hybrid parallel computer architectures: one is the GPU and GPU cluster, while the other is the "Knight Landing" CPU cluster.

Authors:
 [1];  [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chinese Academy of Sciences (CAS), Beijing (China). Inst. of High Energy Physics (IHEP), Key Laboratory of Particle Acceleration Physics and Technology
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge Leadership Computing Facility
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567666
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: 9th International Particle Accelerator Conference IPAC2018, Vancouver, BC, Canada, April 29-May 4, 2018
Country of Publication:
United States
Language:
English

Citation Formats

Liu, Zhicong, and Quang, Ji. Performance Optimization of a Beam Dynamics PIC Code On Hybrid Computer Architectures. United States: N. p., 2018. Web. doi:10.18429/JACoW-IPAC2018-THPAK043.
Liu, Zhicong, & Quang, Ji. Performance Optimization of a Beam Dynamics PIC Code On Hybrid Computer Architectures. United States. doi:10.18429/JACoW-IPAC2018-THPAK043.
Liu, Zhicong, and Quang, Ji. Mon . "Performance Optimization of a Beam Dynamics PIC Code On Hybrid Computer Architectures". United States. doi:10.18429/JACoW-IPAC2018-THPAK043.
@article{osti_1567666,
title = {Performance Optimization of a Beam Dynamics PIC Code On Hybrid Computer Architectures},
author = {Liu, Zhicong and Quang, Ji},
abstractNote = {The self-consistent multi-particle tracking based on particle-in-cell method (PIC) has been widely used in particle accelerator beam dynamics study. However, the PIC simulation is time-consuming and needs to use modern parallel computers for high resolution applications. In this paper, we implemented and optimized a parallel beam dynamics PIC code on two types of hybrid parallel computer architectures: one is the GPU and GPU cluster, while the other is the "Knight Landing" CPU cluster.},
doi = {10.18429/JACoW-IPAC2018-THPAK043},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Conference:
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