EPROF: An energy/performance/reliability optimization framework for streaming applications

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

12 Scopus citations

Abstract

Computer systems face increasing challenges in simultaneously meeting an application's energy, performance, and reliability goals. While energy and performance tradeoffs have been studied through different dynamic voltage and frequency scaling (DVFS) policies and power management schemes, tradeoffs of energy and performance with reliability have not been studied for general purpose computing. This is particularly relevant for application domains such as multimedia, where some limited application error tolerance can be exploited to reduce energy [7]. In this paper, we present EPROF, an optimization framework based on Mixed-Integer Linear Programming (MILP) that selects possible schedules for running tasks on multiprocessors in order to minimize energy while meeting constraints on application performance and reliability. We consider parallel applications that express (on task graphs) the performance and reliability goals they need to achieve, and that run on chip multiprocessors made up of heterogeneous processor cores that offer different energy/performance/reli- ability tradeoffs. For the StreamIt benchmarks [16], EPROF can identify schedules that offer up to 34% energy reduction over a baseline method while achieving the targeted performance and reliability. More broadly, EPROF demonstrates how these three degrees of freedom (energy, performance and reliability) can be flexibly exploited as needed for different applications.

Original languageEnglish (US)
Title of host publicationASP-DAC 2012 - 17th Asia and South Pacific Design Automation Conference
Pages769-774
Number of pages6
DOIs
StatePublished - Apr 26 2012
Event17th Asia and South Pacific Design Automation Conference, ASP-DAC 2012 - Sydney, NSW, Australia
Duration: Jan 30 2012Feb 2 2012

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Other

Other17th Asia and South Pacific Design Automation Conference, ASP-DAC 2012
CountryAustralia
CitySydney, NSW
Period1/30/122/2/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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    Yetim, Y., Malik, S., & Martonosi, M. (2012). EPROF: An energy/performance/reliability optimization framework for streaming applications. In ASP-DAC 2012 - 17th Asia and South Pacific Design Automation Conference (pp. 769-774). [6165058] (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). https://doi.org/10.1109/ASPDAC.2012.6165058