Concepedia

Energy-efficient Processing

Energy-Efficient Processing is a computational methodology within edge data processing that minimizes energy consumption during data execution and transmission while maintaining required performance levels, distinguished by its focus on optimizing power usage in resource-constrained edge environments.

482

Publications

27.7K

Citations

1.9K

Authors

518

Institutions

Publications per year

2017–2026

243

Parents

Publications

482

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang et al. · Proceedings of the IEEE · 2017 · 4K citations

, , +13

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

Emre Neftci, Hesham Mostafa, Friedemann Zenke · IEEE Signal Processing Magazine · 2019 · 1.4K citations

, , +12

Chip makers turn to multicore processors

D. A. Geer · Computer · 2005 · 445 citations

, , +17

Opportunities at the Frontiers of Spintronics

Axel Hoffmann, S. D. Bader · Physical Review Applied · 2015 · 376 citations · Full text

, , +17

Wave physics as an analog recurrent neural network

Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov et al. · Science Advances · 2019 · 365 citations · Full text

, , +14

1–5 of 482

Authors

1.9K

  1. KR
    Kaushik Roy

    Purdue University West Lafayette, United States

    8 publications · 147 citations

    8

    h-index

  2. MC
    Meng‐Fan Chang

    National Tsing Hua University, Taiwan

    5 publications · 1K citations

    6

    h-index

  3. LL
    Leibo Liu

    Tsinghua University, China

    5 publications · 175 citations

    5

    h-index

  4. AP
    Anantha P. Chandrakasan

    Massachusetts Institute of Technology, United States

    5 publications · 459 citations

    5

    h-index

  5. SW
    Shaojun Wei

    Tsinghua University, China

    5 publications · 175 citations

    5

    h-index

1–5 of 1.9K

Institutions

518

  1. Tsinghua University

    Beijing, China

    18 h-index

    97 publications

    6.2K citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    11 h-index

    31 publications

    18.1K citations

  3. University of Illinois Urbana-Champaign

    Urbana, United States

    10 h-index

    19 publications

    1.2K citations

  4. University of California, Berkeley

    Berkeley, United States

    10 h-index

    18 publications

    2.3K citations

  5. Purdue University West Lafayette

    West Lafayette, United States

    10 h-index

    38 publications

    1K citations

  6. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    9 h-index

    47 publications

    4.8K citations

  7. University of Michigan

    Ann Arbor, United States

    8 h-index

    29 publications

    1.4K citations

  8. Samsung (South Korea)

    Seoul, South Korea

    8 h-index

    25 publications

    1.4K citations

1–8 of 518

Venues

  1. Sensors

    9 publications · 449 citations

    9

    h-index

  2. IEEE Access

    7 publications · 252 citations

    7

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 6 publications · 307 citations

    7

    h-index

  4. IEEE Internet of Things Journal

    5 publications · 422 citations

    6

    h-index

  5. IEEE Journal of Solid-State Circuits

    6 publications · 316 citations

    6

    h-index

1–5