Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters

Jeremy James Enos, Craig Philip Steffen, Joshi Fullop, Michael Showerman, Guochun Shi, Kenneth Esler, Volodymyr Kindratenko, John E. Stone, James C. Phillips

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

Abstract

We present an inexpensive hardware system for monitoring power usage of individual CPU hosts and externally attached GPUs in HPC clusters and the software stack for integrating the power usage data streamed in real-time by the power monitoring hardware with the cluster management software tools. We introduce a measure for quantifying the overall improvement in performance-per-watt for applications that have been ported to work on the GPUs. We use the developed hardware/software infrastructure to demonstrate the overall improvement in performance-per-watt for several HPC applications implemented to work on GPUs.

Original languageEnglish (US)
Title of host publication2010 International Conference on Green Computing, Green Comp 2010
Pages317-324
Number of pages8
DOIs
StatePublished - Nov 24 2010
Event2010 International Conference on Green Computing, Green Comp 2010 - Chicago, IL, United States
Duration: Aug 15 2010Aug 18 2010

Publication series

Name2010 International Conference on Green Computing, Green Comp 2010

Other

Other2010 International Conference on Green Computing, Green Comp 2010
CountryUnited States
CityChicago, IL
Period8/15/108/18/10

Keywords

  • Cluster
  • GPU
  • Power efficiency
  • Power monitoring

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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