Dataflow Compilation

Dataflow Compilation is a compilation technique that translates dataflow models into executable code by mapping concurrent data dependencies and functional operations onto target architectures while preserving the semantics of asynchronous, demand-driven execution.

105

Publications

4.3K

Citations

325

Authors

120

Institutions

Publications per year

2017–2026

16

Authors

325

  1. MP
    Marc Pouzet

    Institut national de recherche en sciences et technologies du numérique, France

    10 publications · 516 citations

    10

    h-index

  2. MW
    Matthieu Wipliez

    Institut d'Électronique et des Technologies du numéRique, France

    5 publications · 172 citations

    5

    h-index

  3. SS
    Shuvra S. Bhattacharyya

    University of Maryland, College Park, United States

    5 publications · 188 citations

    5

    h-index

  4. GM
    Gregory M. Papadopoulos

    Massachusetts Institute of Technology, United States

    4 publications · 344 citations

    4

    h-index

  5. MM
    Marco Mattavelli

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 65 citations

    4

    h-index

1–5 of 325

Venues

  1. ACM SIGPLAN Notices

    6 publications · 93 citations

    6

    h-index

  2. ACM SIGARCH Computer Architecture News

    4 publications · 157 citations

    4

    h-index

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

    Repository · 2 publications · 29 citations

    2

    h-index

  4. Journal of Signal Processing Systems

    2 publications · 26 citations

    2

    h-index

  5. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 2 publications · 36 citations

    2

    h-index

1–5