GPU cluster for high performance computing

Zhe Fan; Feng Qiu; Arie Kaufman; Suzanne Yoakum-Stover

doi:10.1109/SC.2004.26

GPU cluster for high performance computing

Zhe Fan
, Feng Qiu
, Arie Kaufman
, Suzanne Yoakum-Stover

Computer Science

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

155 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the ACM/IEEE SC 2004 Conference
Subtitle of host publication	Bridging Communities
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	47
Number of pages	1
ISBN (Electronic)	0769521533, 9780769521534
DOIs	https://doi.org/10.1109/SC.2004.26
State	Published - 2004
Event	2004 ACM/IEEE Conference on Supercomputing, SC 2004 - Pittsburgh, United States Duration: Nov 6 2004 → Nov 12 2004

Publication series

Name	Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities

Conference

Conference	2004 ACM/IEEE Conference on Supercomputing, SC 2004
Country/Territory	United States
City	Pittsburgh
Period	11/6/04 → 11/12/04

Keywords

Computational fluid dynamics
Data intensive computing
GPU cluster
Lattice Boltzmann model
Urban airborne dispersion

Access to Document

10.1109/SC.2004.26

Cite this

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title = "GPU cluster for high performance computing",

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.",

keywords = "Computational fluid dynamics, Data intensive computing, GPU cluster, Lattice Boltzmann model, Urban airborne dispersion",

author = "Zhe Fan and Feng Qiu and Arie Kaufman and Suzanne Yoakum-Stover",

note = "Publisher Copyright: {\textcopyright} 2004 IEEE.; 2004 ACM/IEEE Conference on Supercomputing, SC 2004 ; Conference date: 06-11-2004 Through 12-11-2004",

year = "2004",

doi = "10.1109/SC.2004.26",

language = "English",

series = "Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "47",

booktitle = "Proceedings of the ACM/IEEE SC 2004 Conference",

}

Fan, Z, Qiu, F, Kaufman, A & Yoakum-Stover, S 2004, GPU cluster for high performance computing. in Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities., 1392977, Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities, Institute of Electrical and Electronics Engineers Inc., pp. 47, 2004 ACM/IEEE Conference on Supercomputing, SC 2004, Pittsburgh, United States, 11/6/04. https://doi.org/10.1109/SC.2004.26

GPU cluster for high performance computing. / Fan, Zhe; Qiu, Feng; Kaufman, Arie et al.
Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities. Institute of Electrical and Electronics Engineers Inc., 2004. p. 47 1392977 (Proceedings of the ACM/IEEE SC 2004 Conference: Bridging Communities).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - GPU cluster for high performance computing

AU - Fan, Zhe

AU - Qiu, Feng

AU - Kaufman, Arie

AU - Yoakum-Stover, Suzanne

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Computational fluid dynamics

KW - Data intensive computing

KW - GPU cluster

KW - Lattice Boltzmann model

KW - Urban airborne dispersion

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BT - Proceedings of the ACM/IEEE SC 2004 Conference

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T2 - 2004 ACM/IEEE Conference on Supercomputing, SC 2004

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ER -

GPU cluster for high performance computing

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Keywords

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