Energy-aware Optimization

Energy-Aware Optimization is a methodological framework within the domain of computational system design that specifically integrates energy consumption metrics into the optimization process to balance performance and power efficiency in computing systems.

817

Publications

39.2K

Citations

2.4K

Authors

758

Institutions

Publications per year

2017–2026

260

Authors

2.4K

  1. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    13 publications · 594 citations

    12

    h-index

  2. LB
    Luca Benini

    University of Bologna, Italy

    9 publications · 217 citations

    9

    h-index

  3. AD
    Anup Das

    Drexel University, United States

    9 publications · 335 citations

    9

    h-index

  4. MQ
    Meikang Qiu

    Pace University, United States

    8 publications · 554 citations

    8

    h-index

  5. SM
    Saša Misailovíc

    University of Illinois Urbana-Champaign, United States

    8 publications · 642 citations

    8

    h-index

1–5 of 2.4K

Venues

  1. The Journal of Supercomputing

    11 publications · 415 citations

    11

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 11 publications · 817 citations

    11

    h-index

  3. IEEE Transactions on Computers

    11 publications · 485 citations

    11

    h-index

  4. 11

    h-index

  5. 10

    h-index

1–5