GPU clusters for high-performance computing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
DOIs
StatePublished - Dec 21 2009
Event2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09 - New Orleans, LA, United States
Duration: Aug 31 2009Sep 4 2009

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Other

Other2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
CountryUnited States
CityNew Orleans, LA
Period8/31/099/4/09

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

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  • Cite this

    Kindratenko, V., Enos, J. J., Shi, G., Showerman, M. T., Arnold, G. W., Stone, J. E., Phillips, J. C., & Hwu, W-M. W. (2009). GPU clusters for high-performance computing. In 2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09 [5289128] (Proceedings - IEEE International Conference on Cluster Computing, ICCC). https://doi.org/10.1109/CLUSTR.2009.5289128