Algorithmic Power Minimization

Algorithmic Power Minimization is a computational optimization strategy that reduces dynamic power consumption in digital systems by modifying algorithmic structures or data flow to minimize switching activity and operational complexity at the architectural level.

44

Publications

1.6K

Citations

134

Authors

60

Institutions

Publications per year

2017–2026

5

Authors

134

  1. AR
    Abbas Rahimi

    University of California San Diego, United States

    2 publications · 108 citations

    2

    h-index

  2. AA
    A.E.A. Almaini

    Edinburgh Napier University, United Kingdom

    2 publications · 74 citations

    2

    h-index

  3. MJ
    Michael Joham

    Technical University of Munich, Germany

    2 publications · 31 citations

    2

    h-index

  4. WM
    Wai-Kei Mak

    National Tsing Hua University, Taiwan

    2 publications · 65 citations

    2

    h-index

  5. SK
    Srinivas Katkoori

    University of South Florida, United States

    2 publications · 65 citations

    2

    h-index

1–5 of 134

Venues

  1. Acta Arithmetica

    1 publications · 14 citations

    1

    h-index

  2. Design, Automation, and Test in Europe

    Conference · 1 publications · 48 citations

    1

    h-index

  3. IEEE Communications Letters

    1 publications · 79 citations

    1

    h-index

  4. International Conference on Computer Aided Design

    Conference · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5