Energy-efficient Analytics

Energy-Efficient Analytics is an analytical approach within edge and IoT analytics that minimizes energy consumption during data processing and model execution by optimizing computational efficiency, resource allocation, and communication overhead in resource-constrained environments.

23

Publications

1.7K

Citations

115

Authors

64

Institutions

Publications per year

2017–2026

15

Authors

115

  1. MM
    Margaret Martonosi

    Princeton University, United States

    2 publications · 442 citations

    2

    h-index

  2. NS
    Narayanan Sundaram

    Intel (United States), United States

    2 publications · 442 citations

    2

    h-index

  3. LW
    Lisa Wu

    Columbia University, United States

    2 publications · 442 citations

    2

    h-index

  4. TJ
    Tae Jun Ham

    Seoul National University, South Korea

    2 publications · 442 citations

    2

    h-index

  5. NS
    Nadathur Satish

    Intel (United States), United States

    2 publications · 442 citations

    2

    h-index

1–5 of 115

Venues

  1. IEEE Communications Magazine

    2 publications · 63 citations

    2

    h-index

  2. 1

    h-index

  3. The Journal of Supercomputing

    1 publications · 39 citations

    1

    h-index

  4. Journal of Parallel and Distributed Computing

    1 publications · 68 citations

    1

    h-index

  5. International Conference on Computer Aided Design

    Conference · 1 publications · 10 citations

    1

    h-index

1–5