Dataflow Synthesis

Dataflow Synthesis is a high-level synthesis methodology that belongs to the class of compilation techniques for hardware design, specifically distinguished by its emphasis on representing and optimizing computations as a directed graph of data dependencies, where operations execute as soon as their input data are available, thus enabling concurrent execution and efficient resource utilization in the generated hardware.

228

Publications

7.6K

Citations

490

Authors

182

Institutions

Publications per year

2017–2026

29

Authors

490

  1. SS
    Shuvra S. Bhattacharyya

    University of Maryland, College Park, United States

    13 publications · 337 citations

    12

    h-index

  2. SH
    Soonhoi Ha

    Seoul National University, South Korea

    12 publications · 280 citations

    12

    h-index

  3. PI
    Paolo Ienne

    École Polytechnique Fédérale de Lausanne, Switzerland

    13 publications · 353 citations

    12

    h-index

  4. KK
    Keshab K. Parhi

    University of Minnesota, United States

    11 publications · 288 citations

    10

    h-index

  5. MM
    Marco Mattavelli

    École Polytechnique Fédérale de Lausanne, Switzerland

    10 publications · 161 citations

    10

    h-index

1–5 of 490

Venues

  1. 13

    h-index

  2. 10

    h-index

  3. Design Automation Conference

    Conference · 6 publications · 637 citations

    6

    h-index

  4. ACM Transactions on Design Automation of Electronic Systems

    TODAES · 3 publications · 177 citations

    3

    h-index

  5. 23rd ACM/IEEE Design Automation Conference

    Conference · 3 publications · 357 citations

    3

    h-index

1–5