A service based estimation method for MPSoC performance modelling

Anders Sejer Tranberg-Hansen, Jan Madsen, Bjørn Sand Jensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    483 Downloads (Pure)

    Abstract

    This paper presents an abstract service based estimation method for MPSoC performance modelling which allows fast, cycle accurate design space exploration of complex architectures including multi processor configurations at a very early stage in the design phase. The modelling method uses a service oriented model of computation based on Hierarchical Colored Petri Nets and allows the modelling of both software and hardware in one unified model. To illustrate the potential of the method, a small MPSoC system, developed at Bang & Olufsen ICEpower a/s, is modelled and performance estimates are produced for various configurations of the system in order to explore the best possible implementation.
    Original languageEnglish
    Title of host publication2008 International Symposium on Industrial Embedded Systems
    PublisherIEEE
    Publication date2008
    Pages43-50
    ISBN (Print)9781424419944
    DOIs
    Publication statusPublished - 2008
    EventInternational Symposium on Industrial Embedded Systems (SIES 2008) - Montpellier, France
    Duration: 11 Jun 200813 Jun 2008
    Conference number: 3

    Conference

    ConferenceInternational Symposium on Industrial Embedded Systems (SIES 2008)
    Number3
    Country/TerritoryFrance
    CityMontpellier
    Period11/06/200813/06/2008

    Bibliographical note

    Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Fingerprint

    Dive into the research topics of 'A service based estimation method for MPSoC performance modelling'. Together they form a unique fingerprint.

    Cite this