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Title: GPU-acceleration for Moving Particle Semi-Implicit method
Authors: Hori, Chiemi
Gotoh, Hitoshi  kyouindb  KAKEN_id  orcid (unconfirmed)
Ikari, Hiroyuki  kyouindb  KAKEN_id  orcid (unconfirmed)
Khayyer, Abbas  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 後藤, 仁志
Keywords: Particle method
MPS method
Semi-implicit algorithm
Issue Date: Dec-2011
Publisher: Elsevier Ltd.
Journal title: Computers & Fluids
Volume: 51
Issue: 1
Start page: 174
End page: 183
Abstract: The MPS (Moving Particle Semi-implicit) method has been proven useful in computation free-surface hydrodynamic flows. Despite its applicability, one of its drawbacks in practical application is the high computational load. On the other hand, Graphics Processing Unit (GPU), which was originally developed for acceleration of computer graphics, now provides unprecedented capability for scientific computations. The main objective of this study is to develop a GPU-accelerated MPS code using CUDA (Compute Unified Device Architecture) language. Several techniques have been shown to optimize calculations in CUDA. In order to promote the acceleration by GPU, particular attentions are given to both the search of neighboring particles and the iterative solution of simultaneous linear equations in the Poisson Pressure Equation. In this paper, 2-dimensional calculations of elliptical drop evolution and dam break flow have been carried out by the GPU-accelerated MPS method, and the accuracy and performance of GPU-based code are investigated by comparing the results with those by CPU. It is shown that results of GPU-based calculations can be obtained much faster with the same reliability as the CPU-based ones.
Rights: © 2011 Elsevier Ltd.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。This is not the published version. Please cite only the published version.
DOI(Published Version): 10.1016/j.compfluid.2011.08.004
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