Adaptive Computing

Adaptive Computing is a reconfigurable computing paradigm that dynamically tailors hardware functionality to application demands through runtime reconfiguration of programmable logic, distinguishing itself from static architectures by enabling task-specific optimization during execution.

303

Publications

18.5K

Citations

891

Authors

313

Institutions

Publications per year

2017–2026

41

Authors

891

  1. PK
    Philip K. McKinley

    Michigan State University, United States

    9 publications · 775 citations

    9

    h-index

  2. MD
    Marco D. Santambrogio

    Politecnico di Milano, Italy

    9 publications · 418 citations

    9

    h-index

  3. HH
    Henry Hoffmann

    University of Chicago, United States

    9 publications · 561 citations

    9

    h-index

  4. BH
    Betty H. C. Cheng

    Michigan State University, United States

    9 publications · 1.2K citations

    9

    h-index

  5. MM
    Martina Maggio

    Lund University, Sweden

    6 publications · 271 citations

    6

    h-index

1–5 of 891

Venues

  1. ACM Transactions on Autonomous and Adaptive Systems

    TAAS · 5 publications · 105 citations

    5

    h-index

  2. Computer

    4 publications · 983 citations

    4

    h-index

  3. IEEE Transactions on Computers

    3 publications · 121 citations

    3

    h-index

  4. Proceedings of the IEEE

    3 publications · 2.3K citations

    3

    h-index

  5. 3

    h-index

1–5