Parameterized Dataflow

Parameterized Dataflow is a dataflow model that extends static dataflow by allowing actors to have parameters that control their behavior, enabling expressive and analyzable representations of parameter-dependent execution patterns.

18

Publications

651

Citations

66

Authors

36

Institutions

Publications per year

2017–2026

3

Authors

66

  1. SS
    Shuvra S. Bhattacharyya

    University of Maryland, College Park, United States

    8 publications · 437 citations

    8

    h-index

  2. MS
    Mainak Sen

    University of Maryland, College Park, United States

    3 publications · 42 citations

    3

    h-index

  3. PF
    Pascal Fradet

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

    2 publications · 51 citations

    2

    h-index

  4. BB
    Bishnupriya Bhattacharya

    London School of Hygiene & Tropical Medicine, United Kingdom

    2 publications · 298 citations

    2

    h-index

  5. MG
    Marc Geilen

    Eindhoven University of Technology, Netherlands

    2 publications · 33 citations

    2

    h-index

1–5 of 66

Venues

  1. Journal of Signal Processing Systems

    1 publications · 16 citations

    1

    h-index

  2. ACM SIGPLAN Notices

    1 publications · 15 citations

    1

    h-index

  3. IEEE Access

    1 publications · 13 citations

    1

    h-index

  4. IEEE Transactions on Signal Processing

    1 publications · 240 citations

    1

    h-index

  5. 1

    h-index

1–5