GPU clusters for high-performance computing

Author

Kindratenko, Volodymyr V. ; Enos, Jeremy J. ; Shi, Guochun ; Showerman, Michael T. ; Arnold, Galen W. ; Stone, John E. ; Phillips, James C. ; Hwu, Wen-Mei

Author_Institution

Nat. Center for Supercomput. Applic., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2009

fDate

Aug. 31 2009-Sept. 4 2009

Firstpage

1

Lastpage

8

Abstract

Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.

Keywords

computer graphic equipment; workstation clusters; balanced cluster architecture; graphics processing units; high-performance computing; large-scale GPU clusters; programming models; resource sharing; scientific computing community; Bandwidth; Computational biophysics; Computer architecture; Data security; Hardware; Parallel programming; Production; Quadratic programming; Resource management; Space cooling;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on

Conference_Location

New Orleans, LA

ISSN

1552-5244

Print_ISBN

978-1-4244-5011-4

Electronic_ISBN

1552-5244

Type

conf

DOI

10.1109/CLUSTR.2009.5289128

Filename

5289128