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

Conference · Mon Jan 01 00:00:00 EST 2018

DOI:https://doi.org/10.18429/JACoW-IPAC2018-THPAK043· OSTI ID:1567666

Liu, Zhicong ^[1]; Quang, Ji ^[2]

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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)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1567666
• Resource Relation: Conference: 9th International Particle Accelerator Conference IPAC2018, Vancouver, BC, Canada, April 29-May 4, 2018
• Country of Publication: United States
• Language: English