An ILP formulation for task scheduling on heterogeneous chip multiprocessors

Suleyman Tosun, Nazanin Mansouri, Mahmut Kandemir, Ozcan Ozturk

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

7 Scopus citations

Abstract

One of the main difficuties to map an embedded application onto a multiprocessor architecture is that there are multiple ways of this mapping due to several constraints. In this paper, we present an Integer Linear Programming based framework that maps a given application (represented as a task graph) onto a Heterogeneous Chip Multiprocessor architecture. Our framework can be used with several objective functions such as energy, performance, and fallibility (opposite of reliability). We use Dynamic Voltage Scaling (DVS) for reducing energy consumption while we employ task duplication to minimize fallibility. Our experimental results show that over 50% improvements on energy consumption are possible by using DVS, and the fully task duplicated schedules can be achieved under tight performance and energy bounds.

Original languageEnglish (US)
Title of host publicationComputer and Information Sciences - ISCIS 2006
Subtitle of host publication21th International Symposium, Proceedings
PublisherSpringer Verlag
Pages267-276
Number of pages10
ISBN (Print)3540472428, 9783540472421
DOIs
StatePublished - Jan 1 2006
EventISCIS 2006: 21th International Symposium on Computer and Information Sciences - Istanbul, Turkey
Duration: Nov 1 2006Nov 3 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4263 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherISCIS 2006: 21th International Symposium on Computer and Information Sciences
CountryTurkey
CityIstanbul
Period11/1/0611/3/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'An ILP formulation for task scheduling on heterogeneous chip multiprocessors'. Together they form a unique fingerprint.

  • Cite this

    Tosun, S., Mansouri, N., Kandemir, M., & Ozturk, O. (2006). An ILP formulation for task scheduling on heterogeneous chip multiprocessors. In Computer and Information Sciences - ISCIS 2006: 21th International Symposium, Proceedings (pp. 267-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4263 LNCS). Springer Verlag. https://doi.org/10.1007/11902140_30