Application-specific Power Estimation

Application-Specific Power Estimation is a power estimation methodology that targets a particular class of applications or workloads, distinguished from general-purpose techniques by incorporating domain-specific knowledge, operational patterns, and architectural constraints to achieve higher accuracy in predicting energy consumption.

62

Publications

2.8K

Citations

201

Authors

83

Institutions

Publications per year

2017–2026

13

Authors

201

  1. SH
    Shuai Hao

    University of Southern California, United States

    5 publications · 726 citations

    5

    h-index

  2. RG
    Ramesh Govindan

    University of Southern California, United States

    5 publications · 726 citations

    5

    h-index

  3. AH
    Abram Hindle

    University of Alberta, Canada

    5 publications · 277 citations

    5

    h-index

  4. WG
    William G. J. Halfond

    University of Southern California, United States

    5 publications · 726 citations

    5

    h-index

  5. DL
    Ding Li

    University of Southern California, United States

    4 publications · 492 citations

    4

    h-index

1–5 of 201

Venues

  1. Mining Software Repositories

    Conference · 1 publications · 64 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Procedia Computer Science

    1 publications · 11 citations

    1

    h-index

  5. ACM SIGPLAN Notices

    1 publications · 15 citations

    1

    h-index

1–5