A dataflow inspired programming paradigm for coarse-grained reconfigurable arrays

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    4 Citations (Scopus)

    Abstract

    In this paper, we present a new approach towards programming coarse-grained reconfigurable arrays (CGRAs) in an intuitive, dataflow inspired way. Based on the observation that available CGRAs are usually programmed using C, which lacks proper support for instruction-level parallelism, we instead started from a dataflow perspective combined with a language that inherently supports parallel structures. Our programming paradigm decouples the local functionality of a core from the global flow of data, i.e. the kernels from the routing. We will describe the ideas of our programming paradigm and also the language and compiler itself. Our complete system, including the CGRA, the programming language and the compiler, was developed using Haskell, which leads to a complete, sound system. We finish the paper with the implementation of a number of algorithms using our system.
    Original languageUndefined
    Title of host publicationInternational Conference on Reconfigurable Computing: Architectures, Tools, and Applications, ARC 2014
    Place of PublicationBerlin
    PublisherSpringer
    Pages275-282
    Number of pages8
    ISBN (Print)978-3-319-05960-0
    DOIs
    Publication statusPublished - 14 Apr 2014

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume8405
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

    • EWI-25010
    • METIS-306006
    • IR-91716

    Cite this

    Niedermeier, A., Kuper, J., & Smit, G. J. M. (2014). A dataflow inspired programming paradigm for coarse-grained reconfigurable arrays. In International Conference on Reconfigurable Computing: Architectures, Tools, and Applications, ARC 2014 (pp. 275-282). (Lecture Notes in Computer Science; Vol. 8405). Berlin: Springer. https://doi.org/10.1007/978-3-319-05960-0_29