Adaptive Accelerator Design

Adaptive Accelerator Design is a hardware design methodology that belongs to the class of adaptive computing systems, distinguished by its focus on creating reconfigurable computational architectures capable of dynamically optimizing performance, power efficiency, and resource utilization in response to varying workloads, algorithms, or environmental conditions.

17

Publications

584

Citations

98

Authors

30

Institutions

Publications per year

2017–2026

11

Authors

98

  1. XW
    Xiaotian Wang

    Hohai University, China

    1 publications · 30 citations

    1

    h-index

  2. ZW
    Zhongfeng Wang

    Nanjing University, China

    1 publications · 64 citations

    1

    h-index

  3. DF
    D. Finan

    Intel (United States), United States

    1 publications · 221 citations

    1

    h-index

  4. ND
    Nicholas D. Lane

    University of Cambridge, United Kingdom

    1 publications · 56 citations

    1

    h-index

  5. RK
    Robert Karam

    University of Florida, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 98

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 30 citations

    1

    h-index

  5. 1

    h-index

1–5