Simulation-based Power Estimation

Simulation-Based Power Estimation is a method in power estimation that uses executable models or simulations of a system to quantify power consumption by analyzing dynamic behavior and operational states under representative workloads.

249

Publications

21K

Citations

667

Authors

274

Institutions

Publications per year

2017–2026

39

Authors

667

  1. AR
    Anand Raghunathan

    Princeton University, United States

    16 publications · 560 citations

    14

    h-index

  2. MP
    Massoud Pedram

    University of Southern California, United States

    9 publications · 274 citations

    9

    h-index

  3. LB
    Luca Benini

    University of Bologna, Italy

    9 publications · 554 citations

    9

    h-index

  4. NK
    Niraj K. Jha

    Princeton University, United States

    7 publications · 198 citations

    7

    h-index

  5. EM
    Enrico Macii

    Politecnico di Torino, Italy

    7 publications · 279 citations

    7

    h-index

1–5 of 667

Venues

  1. 11

    h-index

  2. 6

    h-index

  3. Advances in Methods and Practices in Psychological Science

    AMPPS · 4 publications · 822 citations

    4

    h-index

  4. International Symposium on Low Power Electronics and Design

    Conference · 3 publications · 150 citations

    3

    h-index

  5. The American Statistician

    2 publications · 91 citations

    2

    h-index

1–5