An energy model for applications running on multicore systems

Delbert Bonner, Akbar Siami Namin

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

1 Scopus citations

Abstract

Researchers and developers use energy models to map out what an application or device's energy usage will be. Application developers most often do not have the capability to manipulate the CPU characteristics that most of these energy models and schedules use as their defining aspect. We present an energy model for multiprocess applications that centers around the CPU utilization, which application developers can actively affect with the design of their application.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
Pages1-8
Number of pages8
DOIs
StatePublished - 2012
Event2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012 - Xiangtan, Hunan, China
Duration: Nov 1 2012Nov 3 2012

Publication series

NameProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012

Conference

Conference2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
CountryChina
CityXiangtan, Hunan
Period11/1/1211/3/12

Keywords

  • energy consumption
  • multicore platforms
  • task scheduling

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    Bonner, D., & Namin, A. S. (2012). An energy model for applications running on multicore systems. In Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012 (pp. 1-8). [6382780] (Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012). https://doi.org/10.1109/CGC.2012.14