Evaluating the Impact of Energy Efficient Networks on HPC Workloads

Giorgis Georgakoudis, Nikhil Jain, Takatsugu Ono, Koji Inoue, Shinobu Miwa, Abhinav Bhatele

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

Abstract

Interconnection networks grow larger as supercomputers include more nodes and require higher bandwidth for performance. This scaling significantly increases the fraction of power consumed by the network, by increasing the number of network components (links and switches). Typically, network links consume power continuously once they are turned on. However, recent proposals for energy efficient interconnects have introduced low-power operation modes for periods when network links are idle. Low-power operation can increase messaging time when switching a link from low-power to active operation. We extend the TraceR-CODES network simulator for power modeling to evaluate the impact of energy efficient networking on power and performance. Our evaluation presents the first study on both single-job and multi-job execution to realistically simulate power consumption and performance under congestion for a large-scale HPC network. Results on several workloads consisting of HPC proxy applications show that single-job and multi-job execution favor different modes of low power operation to have significant power savings at the cost of minimal performance degradation.

Original languageEnglish
Title of host publicationProceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-310
Number of pages10
ISBN (Electronic)9781728145358
DOIs
Publication statusPublished - Dec 2019
Event26th Annual IEEE International Conference on High Performance Computing, HiPC 2019 - Hyderabad, India
Duration: Dec 17 2019Dec 20 2019

Publication series

NameProceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019

Conference

Conference26th Annual IEEE International Conference on High Performance Computing, HiPC 2019
CountryIndia
CityHyderabad
Period12/17/1912/20/19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Georgakoudis, G., Jain, N., Ono, T., Inoue, K., Miwa, S., & Bhatele, A. (2019). Evaluating the Impact of Energy Efficient Networks on HPC Workloads. In Proceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019 (pp. 301-310). [8990592] (Proceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HiPC.2019.00044