The Impacts of Locality and Memory Congestion-aware Thread Mapping on Energy Consumption of Modern NUMA Systems

Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, Hiroyuki Takizawa

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

Abstract

Thread mapping is crucial to improve the performance and energy consumption of modern NUMA systems. In this work, we investigate the impacts of locality and memory congestion-aware thread mapping on the energy consumption. Our evaluation shows that considering both the locality and memory congestion can significantly reduce not only the performance but also the total energy consumption, though it could potentially increase the interconnect traffic and also cache misses.

Original languageEnglish
Title of host publicationIEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728117485
DOIs
Publication statusPublished - 2019 May 23
Event22nd IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Yokohama, Japan
Duration: 2019 Apr 172019 Apr 19

Publication series

NameIEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings

Conference

Conference22nd IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019
CountryJapan
CityYokohama
Period19/4/1719/4/19

Keywords

  • energy consumption
  • locality
  • memory congestion
  • modern NUMA system
  • thread mapping

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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