NDLI: A Special Sorting Method for Neighbor Search Procedure in Smoothed Particle Hydrodynamics on GPUs

Content Provider	IEEE Xplore Digital Library
Author	Hongyu Sun Yanshan Tian Yulong Zhang Jiong Wu Sen Wang Qiong Yang Qingguo Zhou
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. Sci. & Engeering, Lanzhou Univ., Lanzhou, China (Hongyu Sun; Yanshan Tian; Yulong Zhang; Jiong Wu; Sen Wang; Qingguo Zhou) \|\| Inst. of Modern Phys., Lanzhou, China (Qiong Yang)
Abstract	Nowadays, the GPGPU technology has accelerated many physics-based simulations. SPH (Smoothed Particle Hydrodynamics) is widely used to simulate complex physical phenomena, which using neighbor search as its key procedure. Sorting and grid based method is one of the widely used neighbor search methods on the GPU. This paper presents a new special sorting method to accelerate the neighbor search procedure for SPH systems on the GPU. With our method, the sorting procedure will use the result data of the previous simulation step. Compared with the standard thrust implementation, our method can accelerate the whole simulation when the scale is not very large (nearly 2.3× speedups with 8192 particles in 161616 grid size). While the scale is large, it also does not reduce the performance of the whole simulation.
Starting Page	81
Ending Page	85
File Size	212043
Page Count	5
File Format	PDF
ISBN	9781467375894
ISSN	15302016
DOI	10.1109/ICPPW.2015.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Arrays Sorting Microprocessors Fluid flow Computational modeling Prefix Sum CUDA neighbor search GPU SPH
Content Type	Text
Resource Type	Article

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