Hardware Acceleration

Hardware Acceleration is a computational paradigm within reconfigurable computing that employs specialized hardware resources to execute specific tasks more efficiently than general-purpose processors by leveraging parallelism, pipelining, and custom data paths.

21.7K

Publications

1.2M

Citations

53.6K

Authors

4.5K

Institutions

Publications per year

2017–2026

8.4K

Authors

53.6K

  1. JC
    Jason Cong

    University of California, Los Angeles, United States

    111 publications · 8.3K citations

    42

    h-index

  2. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    85 publications · 7.1K citations

    42

    h-index

  3. LB
    Luca Benini

    University of Bologna, Italy

    145 publications · 5.8K citations

    40

    h-index

  4. VK
    Viktor K. Prasanna

    University of Southern California, United States

    99 publications · 5.1K citations

    40

    h-index

  5. WL
    Wayne Luk

    Imperial College London, United Kingdom

    137 publications · 5.1K citations

    39

    h-index

1–5 of 53.6K

Venues

  1. arXiv (Cornell University)

    Repository · 698 publications · 104.5K citations

    110

    h-index

  2. IEEE Transactions on Computers

    427 publications · 22.1K citations

    80

    h-index

  3. 68

    h-index

  4. IEEE Micro

    222 publications · 16.7K citations

    64

    h-index

  5. IEEE Journal of Solid-State Circuits

    174 publications · 12.9K citations

    57

    h-index

1–5