Image Quantisation on a Massively Parallel Embedded Processor

J.W.M. Jacobs, Leroy van Engelen, Jan Kuper, Gerardus Johannes Maria Smit

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

    1 Citation (Scopus)

    Abstract

    Developing code for SIMD type hardware architectures often is a tedious job. This is caused by the absence of both a coherent methodological framework and a hardware independent tooling. Besides, the inherently difficult nature of programming dedicated massively parallel embedded processors, complicates the matter. This paper describes the quest for collecting and shaping the necessary methodological parts into a single framework called IRIS. This framework is illustrated by a concrete case "Stochastic Image Processing". IRIS is based on an incremental construction of executable representations, which converge to the final target language implementation in a semi-automated way.
    Original languageEnglish
    Title of host publicationEmbedded Computer Systems: Architectures, Modeling, and Simulation
    Subtitle of host publication7th International Workshop, SAMOS 2007
    EditorsS. Vassiliadis, M. Berekovic, T.D. Hamalainen
    Place of PublicationBerlin
    PublisherSpringer
    Pages139-148
    Number of pages10
    ISBN (Print)978-3-540-73622-6
    DOIs
    Publication statusPublished - Jul 2007
    Event7th International Workshop on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2007 - Samos, Greece
    Duration: 16 Jul 200719 Jul 2007
    Conference number: 7

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    NumberLNCS4549
    Volume4599

    Conference

    Conference7th International Workshop on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2007
    Abbreviated titleSAMOS
    CountryGreece
    CitySamos
    Period16/07/0719/07/07

    Keywords

    • EWI-11094
    • IR-61928
    • METIS-242199

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