@inproceedings{a3438f8820b64741998dc4219ad14c28,
title = "Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters",
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.",
keywords = "Cluster, GPU, Power efficiency, Power monitoring",
author = "Jeremy Enos and Craig Steffen and Joshi Fullop and Michael Showerman and Guochun Shi and Kenneth Esler and Volodymyr Kindratenko and Stone, {John E.} and Phillips, {James C.}",
year = "2010",
doi = "10.1109/GREENCOMP.2010.5598297",
language = "English (US)",
isbn = "9781424476138",
series = "2010 International Conference on Green Computing, Green Comp 2010",
pages = "317--324",
booktitle = "2010 International Conference on Green Computing, Green Comp 2010",
note = "2010 International Conference on Green Computing, Green Comp 2010 ; Conference date: 15-08-2010 Through 18-08-2010",
}