Adaptive Computing Architectures

Adaptive Computing Architectures is a category of reconfigurable computing systems that dynamically modify their hardware structure and functionality in response to varying application demands or environmental conditions, distinguished from static and coarse-grained architectures by fine-grained configurability and runtime adaptability.

115

Publications

4.1K

Citations

385

Authors

148

Institutions

Publications per year

2017–2026

14

Authors

385

  1. PK
    Philip K. McKinley

    Michigan State University, United States

    4 publications · 688 citations

    4

    h-index

  2. EM
    E.J. McCluskey

    Stanford University, United States

    3 publications · 122 citations

    3

    h-index

  3. EP
    Eric P. Kasten

    Michigan State University, United States

    3 publications · 628 citations

    3

    h-index

  4. SM
    S. Masoud Sadjadi

    Florida International University, United States

    3 publications · 674 citations

    3

    h-index

  5. NS
    N.R. Saxena

    Stanford University, United States

    3 publications · 122 citations

    3

    h-index

1–5 of 385

Venues

  1. Journal of Systems and Software

    JSS · 4 publications · 109 citations

    4

    h-index

  2. Computer

    3 publications · 839 citations

    3

    h-index

  3. IEEE Transactions on Evolutionary Computation

    2 publications · 127 citations

    2

    h-index

  4. IEEE Design & Test of Computers

    2 publications · 67 citations

    2

    h-index

  5. 2

    h-index

1–5