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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

DC Field Value Language Diamond, Gerrett ko Smith, Cameron W. ko Zhang, Chonglin ko Yoon, Eisung ko Shephard, Mark S. ko 2021-06-24T08:16:05Z - 2021-06-23 ko 2021-11 ko
dc.identifier.citation JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v.157, pp.1 - 12 ko
dc.identifier.issn 0743-7315 ko
dc.identifier.uri -
dc.description.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. (C) 2021 Elsevier Inc. All rights reserved. ko
dc.language 영어 ko
dc.title PUMIPic: A mesh-based approach to unstructured mesh Particle-In-Cell on GPUs ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85108453521 ko
dc.identifier.wosid 000691219700001 ko
dc.type.rims ART ko
dc.identifier.doi 10.1016/j.jpdc.2021.06.004 ko
dc.identifier.url ko
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