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Energy efficient task scheduling on a multi-core platform using real-time energy measurements

Published: 11 August 2014 Publication History

Abstract

This paper presents a large advance in energy-efficient operating system multiprocessor task scheduling with experimentally proven benefits for standard Linux multi-core computing platforms. This Energy Aware Scheduler (EAS) introduces micro-Operations executed Per Joule (OPJ) as a metric representing run-time task energy efficiency. A novel platform architecture permits event-resolved real-time energy measurements. EAS uses OPJ values for scheduling tasks to reduce resource contention. Compared to the Linux task scheduler (Completely Fair Scheduler), EAS improves energy efficiency by over 30% and execution time by over 24%.

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cover image ACM Conferences
ISLPED '14: Proceedings of the 2014 international symposium on Low power electronics and design
August 2014
398 pages
ISBN:9781450329750
DOI:10.1145/2627369
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 August 2014

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  1. energy aware scheduler
  2. energy efficiency
  3. resource contention

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ISLPED '14 Paper Acceptance Rate 63 of 184 submissions, 34%;
Overall Acceptance Rate 398 of 1,159 submissions, 34%

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