Parameterizable Data Paths

Parameterizable Data Paths is a computational framework in which data flow architectures are designed to enable dynamic reconfiguration of processing elements and interconnects through configurable parameters, distinguishing it from static data paths by supporting adaptable execution patterns in response to varying algorithmic or hardware requirements.

12

Publications

307

Citations

31

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

31

  1. FC
    Francky Catthoor

    IMEC, Belgium

    3 publications · 96 citations

    3

    h-index

  2. HD
    H.J. De Man

    KU Leuven, Belgium

    3 publications · 96 citations

    3

    h-index

  3. MP
    Markus Püschel

    Carnegie Mellon University, United States

    2 publications · 32 citations

    2

    h-index

  4. LK
    Lars Kruse

    Cornell University, United States

    2 publications · 46 citations

    2

    h-index

  5. PM
    Peter Milder

    Carnegie Mellon University, United States

    2 publications · 32 citations

    2

    h-index

1–5 of 31

Venues

  1. Computer Communications

    1 publications · 27 citations

    1

    h-index

  2. IEEE Journal of Solid-State Circuits

    1 publications · 21 citations

    1

    h-index

  3. IEEE Transactions on Circuits and Systems

    1 publications · 27 citations

    1

    h-index

  4. 1

    h-index

  5. European Solid-State Circuits Conference

    Conference · 1 publications · 34 citations

    1

    h-index

1–5