Dataflow Mapping

Dataflow Mapping is a method in reconfigurable accelerator design that specifies how computational operations and data dependencies in an application are assigned to processing elements and communication resources in a target architecture to optimize performance, resource utilization, and data movement efficiency.

103

Publications

3.5K

Citations

408

Authors

139

Institutions

Publications per year

2017–2026

28

Authors

408

  1. SS
    Shuvra S. Bhattacharyya

    University of Maryland, College Park, United States

    6 publications · 145 citations

    6

    h-index

  2. FP
    Francesca Palumbo

    University of Cagliari, Italy

    5 publications · 86 citations

    5

    h-index

  3. LR
    Luigi Raffo

    University of Cagliari, Italy

    5 publications · 86 citations

    5

    h-index

  4. CS
    Carlo Sau

    University of Cagliari, Italy

    3 publications · 43 citations

    3

    h-index

  5. ME
    Michael Eisenring

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 50 citations

    3

    h-index

1–5 of 408

Venues

  1. 3

    h-index

  2. ACM Transactions on Embedded Computing Systems

    TECS · 2 publications · 33 citations

    2

    h-index

  3. 2

    h-index

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

    Repository · 2 publications · 21 citations

    2

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 13 citations

    1

    h-index

1–5