NDLI: GPU Cluster for High Performance Computing

Content Provider	IEEE Xplore Digital Library
Author	Zhe Fan Feng Qiu Kaufman, A. Yoakum-Stover, S.
Copyright Year	2004
Description	Author affiliation: State University of New York at Stony Brook (Zhe Fan)
Abstract	Inspired by the attractive Flops/dollar ratio and the incredible growth in the speed of modern graphics processing units (GPUs), we propose to use a cluster of GPUs for high performance scientific computing. As an example application, we have developed a parallel flow simulation using the lattice Boltzmann model (LBM) on a GPU cluster and have simulated the dispersion of airborne contaminants in the Times Square area of New York City. Using 30 GPU nodes, our simulation can compute a 480x400x80 LBM in 0.31 second/step, a speed which is 4.6 times faster than that of our CPU cluster implementation. Besides the LBM, we also discuss other potential applications of the GPU cluster, such as cellular automata, PDE solvers, and FEM.
Starting Page	47
Ending Page	47
File Size	793593
Page Count	1
File Format	PDF
ISBN	0769521533
DOI	10.1109/SC.2004.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	High performance computing Physics computing Computational modeling Hardware Concurrent computing Computer graphics Scientific computing Lattice Boltzmann methods Rendering (computer graphics) Acceleration computational fluid dynamics GPU cluster data intensive computing lattice Boltzmann model urban airborne dispersion
Content Type	Text
Resource Type	Article

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