Edge Hardware Acceleration

Edge Hardware Acceleration is a specialized computing methodology that leverages dedicated physical devices at the network edge to enhance computational performance by offloading and accelerating specific tasks closer to data sources.

120

Publications

4.3K

Citations

579

Authors

165

Institutions

Publications per year

2017–2026

114

Authors

579

  1. MC
    Meng‐Fan Chang

    National Tsing Hua University, Taiwan

    5 publications · 480 citations

    5

    h-index

  2. PK
    Pilsung Kang

    Sun Moon University, South Korea

    5 publications · 136 citations

    5

    h-index

  3. BA
    Berkin Akin

    Carnegie Mellon University, United States

    4 publications · 200 citations

    4

    h-index

  4. RN
    Ravi Narayanaswami

    Google (United States), United States

    3 publications · 151 citations

    3

    h-index

  5. SL
    Shih‐Chii Liu

    ETH Zurich, Switzerland

    3 publications · 95 citations

    3

    h-index

1–5 of 579

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 169 citations

    9

    h-index

  2. IEEE Access

    8 publications · 264 citations

    8

    h-index

  3. IEEE Internet of Things Journal

    3 publications · 86 citations

    3

    h-index

  4. Journal of Systems Architecture

    JSA · 3 publications · 118 citations

    3

    h-index

  5. 3

    h-index

1–5