Energy-proportional Computing

Energy-Proportional Computing is a power-aware design principle in which a computing system’s energy consumption scales linearly with its workload, such that idle or lightly utilized components consume minimal power relative to their peak performance capacity.

67

Publications

6.5K

Citations

197

Authors

101

Institutions

Publications per year

2017–2026

11

Authors

197

  1. DW
    Daniel Wong

    University of California, Riverside, United States

    5 publications · 186 citations

    5

    h-index

  2. LA
    Luiz André Barroso

    Google (United States), United States

    5 publications · 3.3K citations

    5

    h-index

  3. DA
    David A. Wood

    University of Wisconsin–Madison, United States

    4 publications · 95 citations

    4

    h-index

  4. MA
    Murali Annavaram

    University of Southern California, United States

    3 publications · 140 citations

    3

    h-index

  5. LB
    Luca Benini

    University of Bologna, Italy

    3 publications · 52 citations

    3

    h-index

1–5 of 197

Venues

  1. ACM SIGARCH Computer Architecture News

    5 publications · 446 citations

    5

    h-index

  2. Computer

    4 publications · 2.6K citations

    4

    h-index

  3. IEEE Transactions on Computers

    2 publications · 107 citations

    2

    h-index

  4. Bioscience Biotechnology and Biochemistry

    1 publications · 40 citations

    1

    h-index

  5. Computing

    1 publications · 17 citations

    1

    h-index

1–5