Cross Architectural Power Modelling

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

20 Downloads (Pure)

Abstract

Existing power modelling research focuses on the model rather than the process for developing models. An automated power modelling process that can be deployed on different processors for developing power models with high accuracy is developed. For this, (i) an automated hardware performance counter selection method that selects counters best correlated to power on both ARM and Intel processors, (ii) a noise filter based on clustering that can reduce the mean error in power models, and (iii) a two stage power model that surmounts challenges in using existing power models across multiple architectures are proposed and developed. The key results are: (i) the automated hardware performance counter selection method achieves comparable selection to the manual method reported in the literature, (ii) the noise filter reduces the mean error in power models by up to 55%, and (iii) the two stage power model can predict dynamic power with less than 8% error on both ARM and Intel processors, which is an improvement over classic models.
Original languageEnglish
Title of host publication20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID): Proceedings
EditorsLaurent Lefevre, Carlos A. Varela, George Pallis, Adel N. Toosi, Omer Rana, Rajkumar Buyya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages390-399
Number of pages10
ISBN (Electronic)9781728160955
DOIs
Publication statusPublished - 14 Jul 2020
Event20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020 - Melbourne, Australia
Duration: 11 May 202014 May 2020

Publication series

NameIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing: Proceedings
PublisherIEEE

Conference

Conference20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020
CountryAustralia
CityMelbourne
Period11/05/202014/05/2020

Keywords

  • cross architecture
  • hardware counters
  • noise filtering
  • power modelling

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Cross Architectural Power Modelling'. Together they form a unique fingerprint.

Cite this