Multicore Power Estimation

Multicore Power Estimation is a computational modeling technique that quantifies the power consumption of multiple processing cores integrated within a single chip, distinguishing itself by accounting for inter-core dependencies, shared resource contention, and dynamic voltage and frequency scaling effects specific to parallelized computing architectures.

48

Publications

2.9K

Citations

148

Authors

64

Institutions

Publications per year

2017–2026

5

Authors

148

  1. AB
    Andrew B. Kahng

    University of California San Diego, United States

    5 publications · 880 citations

    5

    h-index

  2. KS
    Kambiz Samadi

    Qualcomm (United States), United States

    5 publications · 880 citations

    5

    h-index

  3. BL
    Bill Lin

    University of California San Diego, United States

    3 publications · 92 citations

    3

    h-index

  4. LE
    Lieven Eeckhout

    Ghent University, Belgium

    2 publications · 72 citations

    2

    h-index

  5. KS
    Kai Shen

    University of Rochester, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 148

Venues

  1. 3

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  2. 2

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  3. IEEE Transactions on Computers

    2 publications · 136 citations

    2

    h-index

  4. IEEE Embedded Systems Letters

    2 publications · 64 citations

    2

    h-index

  5. 1

    h-index

1–5