DocumentCode
3204590
Title
Efficient GPU Implementation for Particle in Cell Algorithm
Author
Joseph, Rejith George ; Ravunnikutty, Girish ; Ranka, Sanjay ; D´Azevedo, Eduardo ; Klasky, Scott
fYear
2011
fDate
16-20 May 2011
Firstpage
395
Lastpage
406
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.
Keywords
computer graphic equipment; coprocessors; physics computing; plasma; GPU; atomic operation; graphics processing unit; particle-in-cell algorithm; plasma physics; shared memory operation; Arrays; Graphics processing unit; Hardware; Instruction sets; Kernel;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing Symposium (IPDPS), 2011 IEEE International
Conference_Location
Anchorage, AK
ISSN
1530-2075
Print_ISBN
978-1-61284-372-8
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2011.46
Filename
6012810
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