Dataflow Programming Models

Dataflow Programming Models is a programming paradigm within FPGA computing that belongs to the class of models emphasizing explicit representation of data dependencies and functional transformations, distinguished by its execution model in which operations are triggered by the availability of input data rather than sequential control flow.

126

Publications

4.6K

Citations

383

Authors

130

Institutions

Publications per year

2017–2026

13

Authors

383

  1. MR
    Mickaël Raulet

    Institut d'Électronique et des Technologies du numéRique, France

    10 publications · 483 citations

    10

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  2. JW
    Jörn W. Janneck

    École Polytechnique Fédérale de Lausanne, Switzerland

    9 publications · 463 citations

    9

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  3. MM
    Marco Mattavelli

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 174 citations

    7

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  4. GR
    Ghislain Roquier

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 274 citations

    6

    h-index

  5. JB
    Jani Boutellier

    University of Oulu, Finland

    5 publications · 72 citations

    5

    h-index

1–5 of 383

Venues

  1. ACM SIGPLAN Notices

    4 publications · 71 citations

    4

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  2. Journal of Signal Processing Systems

    3 publications · 107 citations

    3

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  3. eScholarship (California Digital Library)

    Repository · 3 publications · 255 citations

    3

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  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 27 citations

    2

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  5. IEEE Transactions on Signal Processing

    2 publications · 37 citations

    2

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1–5