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Yoon, Eisung
Fusion and Plasma Application Research Laboratory (FPL)
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PUMIPic: A mesh-based approach to unstructured mesh Particle-In-Cell on GPUs

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Title
PUMIPic: A mesh-based approach to unstructured mesh Particle-In-Cell on GPUs
Author
Diamond, GerrettSmith, Cameron W.Zhang, ChonglinYoon, EisungShephard, Mark S.
Issue Date
2021-11
Publisher
Academic Press
Citation
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v.157, pp.1 - 12
Abstract
Unstructured mesh particle-in-cell, PIC, simulations executing on the current and next generation of massively parallel systems require new methods for both the mesh and particles to achieve performance and scalability on GPUs. The traditional approach to implementing PIC simulations defines data structures and algorithms in terms of particles with a full copy of the unstructured mesh on every process. To effectively scale the unstructured mesh and particles, mesh-based PIC uses the unstructured mesh as the predominant data structure with the particles stored in terms of the mesh entities. This paper details the PUMIPic library, a framework for developing efficient and performance-portable mesh-based PIC simulations on GPU systems. A pseudo physics simulation based on a five-dimensional gyro-kinetic code for modeling plasma physics is used to examine the performance of PUMIPic. Scaling studies of the unstructured mesh partition and number of particles are performed up to 4096 nodes of the Summit system at Oak Ridge National Laboratory. The studies show that mesh-based PIC can utilize a partitioned mesh and maintain scaling up to system limitations.
URI
https://scholarworks.unist.ac.kr/handle/201301/53108
URL
https://www.sciencedirect.com/science/article/pii/S0743731521001337?via%3Dihub
DOI
10.1016/j.jpdc.2021.06.004
ISSN
0743-7315
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