High level synthesis for non-manifest digital signal processing applications

O. Mansour, Omar Mansour

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    46 Downloads (Pure)


    In this thesis we show the feasibility of Coarse Grained Data Flow Machines for high-throughput streaming non-manifest applications. The architecture of the Coarse Grained Data Flow Machine is derived from the classical data flow architecture and the scheduling of its processing elements is done dynamically in hardware. Since the implementation of such an architecture is strongly application dependent, a design flow and supporting software tools, are provided. This gives application designers the means by which the number of processing elements, buffer sizes and latencies of the architecture can be tuned.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    • Krol, Th., Supervisor
    Award date1 Feb 2006
    Place of PublicationEnschede, Netherlands
    Print ISBNs90-365-2321-4
    Publication statusPublished - Feb 2006


    • METIS-238005
    • IR-51107
    • EWI-2721
    • CAES-EEA: Efficient Embedded Architectures


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