Latency analysis of homogeneous synchronous dataflow graphs using timed automata

Guus Kuiper, Marco J.G. Bekooij

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    416 Downloads (Pure)

    Abstract

    There are several analysis models and corresponding temporal analysis techniques for checking whether applications executed on multiprocessor systems meet their real-time constraints. However, currently there does not exist an exact end-to-end latency analysis technique for Homogeneous Synchronous Dataflow with auto-concurrency (HSDFa) models that takes the correlation between the firing durations of different firings into account. In this paper we present a transformation of strongly connected HSDFa models into timed automata models. This enables an exact end-to-end latency analysis because the correlation between the firing durations of different firings is taken into account. In a case study we compare the latency obtained using timed automata and a Linear Program (LP) based analysis technique that relies on a deterministic abstraction and compare their run-times as well. Exact end-to-end latency analysis results are obtained using timed automata, whereas this is not possible using deterministic timed-dataflow models.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 Design, Automation & Test in Europe (DATE)
    Subtitle of host publication27–31 March 2017, Swisstech, Lausanne, Switzerland
    PublisherIEEE
    Pages902-905
    ISBN (Print)978-3-9815370-9-3
    DOIs
    Publication statusPublished - Mar 2017
    Event2017 Design, Automation & Test in Europe Conference & Exhibition, DATE 2017 - Lausanne, Switzerland
    Duration: 27 Mar 201731 Mar 2017
    https://www.date-conference.com/date17/

    Conference

    Conference2017 Design, Automation & Test in Europe Conference & Exhibition, DATE 2017
    Abbreviated titleDATE
    Country/TerritorySwitzerland
    CityLausanne
    Period27/03/1731/03/17
    Internet address

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