A timed-automata approach for critical path detection in a soft real-time application

Bugra Mehmet Yildiz, Christoph Bockisch, Arend Rensink, Mehmet Aksit

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    Abstract

    In this paper, we report preliminary ideas from our project called “Time Performance Improvement With Parallel Processing Systems‿ (TIPS). In the TIPS project, we plan to take advantage of multi-core platforms for performance improvement by parallelizing a complex soft real-time application. In order to increase the timing performance, one needs to adapt the optimizations on the critical execution paths of an application which are both significantly time consuming and important from user requirements' perspective. In this work, we present an approach how to detect critical paths in a target application.
    Original languageUndefined
    Title of host publicationProceedings of the 22nd Euromicro International Conference on Parallel, Distributed and network-based Processing, PDP 2014, Work In Progress Session
    Place of PublicationItaly
    PublisherSEA-Johannes Kepler University Linz
    Pages-
    Number of pages2
    ISBN (Print)978-3-902457-39-4
    Publication statusPublished - Feb 2014
    Event22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014 - Turin, Italy
    Duration: 12 Feb 201414 Feb 2014
    Conference number: 22

    Publication series

    Name
    PublisherSEA-Johannes Kepler University Linz

    Conference

    Conference22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014
    Abbreviated titlePDP
    CountryItaly
    CityTurin
    Period12/02/1414/02/14

    Keywords

    • CR-D.2
    • METIS-309553
    • IR-93191
    • EWI-24565

    Cite this

    Yildiz, B. M., Bockisch, C., Rensink, A., & Aksit, M. (2014). A timed-automata approach for critical path detection in a soft real-time application. In Proceedings of the 22nd Euromicro International Conference on Parallel, Distributed and network-based Processing, PDP 2014, Work In Progress Session (pp. -). Italy: SEA-Johannes Kepler University Linz.