Approximation algorithm for the temperature-aware scheduling problem

Sushu Zhang, Karam S. Chatha

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

137 Scopus citations

Abstract

The paper addresses the problem of performance optimization for a set of periodic tasks with discrete voltage/frequency states under thermal constraints. We prove that the problem is NP-hard, and present a pseudo-polynomial optimal algorithm and a fully polynomial time approximation technique (FPTAS) for the problem. The FPTAS technique is able to generate solutions in polynomial time that are guaranteed to be within a designer specified quality bound (QB) (say within 1% of the optimal). We evaluate our techniques by experimentation with multimedia and synthetic benchmarks mapped on the 70nm CMOS technology processor. The experimental results demonstrate our techniques are able to match optimal solutions when QB is set at 5%, can generate solutions that are quite close to optimal (< 5%) even when QB is set at higher values (50%), and executes in few seconds (with QB > 25%) for large task sets with 120 nodes (while the optimal solution takes several hundred seconds). We also analyze the effect of different thermal parameters, such as the initial temperature, the final temperature and the thermal resistance.

Original languageEnglish (US)
Title of host publication2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD
Pages281-288
Number of pages8
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD - San Jose, CA, United States
Duration: Nov 4 2007Nov 8 2007

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)1092-3152

Other

Other2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD
CountryUnited States
CitySan Jose, CA
Period11/4/0711/8/07

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Approximation algorithm for the temperature-aware scheduling problem'. Together they form a unique fingerprint.

Cite this