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10.1109/IPDPS.2011.46guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Efficient GPU Implementation for Particle in Cell Algorithm

Published: 16 May 2011 Publication History

Abstract

Particle in cell (PIC) algorithm is a widely used method in plasma physics to study the trajectories of charged particles under electromagnetic fields. The PIC algorithm is computationally intensive and its time requirements are proportional to the number of charged particles involved in the simulation. The focus of the paper is to parallelize the PIC algorithm on Graphics Processing Unit (GPU). We present several performance trade-offs related to small shared memory and atomic operations on the GPU to achieve high performance.

Cited By

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  • (2013)Radiative signatures of the relativistic Kelvin-Helmholtz instabilityProceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis10.1145/2503210.2504564(1-12)Online publication date: 17-Nov-2013
  • (2013)On the efficacy of GPU-integrated MPI for scientific applicationsProceedings of the 22nd international symposium on High-performance parallel and distributed computing10.1145/2493123.2462915(191-202)Online publication date: 17-Jun-2013
  • (2013)On the efficacy of GPU-integrated MPI for scientific applicationsProceedings of the 22nd international symposium on High-performance parallel and distributed computing10.1145/2462902.2462915(191-202)Online publication date: 17-Jun-2013

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cover image Guide Proceedings
IPDPS '11: Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
May 2011
1285 pages
ISBN:9780769543857

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IEEE Computer Society

United States

Publication History

Published: 16 May 2011

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Cited By

View all
  • (2013)Radiative signatures of the relativistic Kelvin-Helmholtz instabilityProceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis10.1145/2503210.2504564(1-12)Online publication date: 17-Nov-2013
  • (2013)On the efficacy of GPU-integrated MPI for scientific applicationsProceedings of the 22nd international symposium on High-performance parallel and distributed computing10.1145/2493123.2462915(191-202)Online publication date: 17-Jun-2013
  • (2013)On the efficacy of GPU-integrated MPI for scientific applicationsProceedings of the 22nd international symposium on High-performance parallel and distributed computing10.1145/2462902.2462915(191-202)Online publication date: 17-Jun-2013

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