ReAPER: Region Aware Power and Energy Regulator

  • Anna Yue
  • , Torsten Wilde
  • , Steven Martin
  • , Pen Chung Yew
  • , Sanyam Mehta

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

Abstract

Improving CPU power/energy efficiency without degrading performance requires an accurate application characterization. Rather than characterizing the application as a whole, we find that dividing the application into individual regions is much more effective. This fine-grained approach gives us the opportunity to save power/energy during memory-bound regions and MPI slack regions (time spent waiting on other processes) by lowering core frequency and during compute-bound regions by lowering uncore frequency. We propose an intuitive, lightweight, and portable algorithm for identifying these regions at runtime which relies only on the IPS (instructions per second) metric, rather than on performance counters that can differ across platforms. At the same time, we meet a user-specified level of acceptable performance degradation by adapting core and uncore frequencies to the application, achieving additional CPU power/energy savings. We evaluate our approach on the SPEC 2017 benchmarks and various MPI applications.

Original languageEnglish (US)
Title of host publicationProceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
PublisherAssociation for Computing Machinery
Pages1894-1897
Number of pages4
ISBN (Electronic)9798400707858
DOIs
StatePublished - Nov 12 2023
Event2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 - Denver, United States
Duration: Nov 12 2023Nov 17 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
Country/TerritoryUnited States
CityDenver
Period11/12/2311/17/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

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