Concepedia

Machine Learning Acceleration

Machine Learning Acceleration is a computational methodology that leverages specialized hardware, particularly graphics processing units, to significantly enhance the speed and efficiency of training and inference processes in machine learning models.

311

Publications

24.1K

Citations

1.3K

Authors

333

Institutions

Publications per year

2017–2026

231

Parents

Publications

311

Static Analysis of Shape in TensorFlow Programs

arXiv (Cornell University) · 2016 · 1.7K citations · Full text

, , +8

DianNao

Tianshi Chen, Zidong Du, Ninghui Sun et al. · 2014 · 1.3K citations

, , +17

Equivalent-accuracy accelerated neural-network training using analogue memory

Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai et al. · Nature · 2018 · 1.1K citations · Full text

, , +8

Theano: A CPU and GPU Math Compiler in Python

James Bergstra, Olivier Breuleux, Frédéric Bastien et al. · Proceedings of the Python in Science Conferences · 2010 · 1.1K citations · Full text

, , +16

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Lei Deng, Guoqi Li, Song Han et al. · Proceedings of the IEEE · 2020 · 927 citations

, , +17

1–5 of 311

Authors

1.3K

  1. MI
    Mohsen Imani

    University of California San Diego, United States

    7 publications · 368 citations

    7

    h-index

  2. TC
    Tianshi Chen

    Institute of Computing Technology, China

    7 publications · 2.5K citations

    7

    h-index

  3. YC
    Yunji Chen

    Institute of Computing Technology, China

    7 publications · 2.5K citations

    7

    h-index

  4. HE
    Hadi Esmaeilzadeh

    Georgia Institute of Technology, United States

    6 publications · 972 citations

    6

    h-index

  5. CB
    Christos-Savvas Bouganis

    Imperial College London, United Kingdom

    6 publications · 270 citations

    6

    h-index

1–5 of 1.3K

Institutions

333

  1. Imperial College London

    London, United Kingdom

    13 h-index

    34 publications

    1.9K citations

  2. University of California San Diego

    San Diego, United States

    12 h-index

    32 publications

    1.6K citations

  3. Tsinghua University

    Beijing, China

    9 h-index

    38 publications

    7.5K citations

  4. Georgia Institute of Technology

    Atlanta, United States

    8 h-index

    26 publications

    1.7K citations

  5. Stanford University

    Stanford, United States

    8 h-index

    20 publications

    3K citations

  6. University of California, Berkeley

    Berkeley, United States

    8 h-index

    18 publications

    2K citations

  7. Google (United States)

    Mountain View, United States

    8 h-index

    21 publications

    933 citations

  8. Microsoft (United States)

    Redmond, United States

    7 h-index

    12 publications

    1.7K citations

1–8 of 333

Venues

  1. arXiv (Cornell University)

    Repository · 36 publications · 3K citations

    19

    h-index

  2. IEEE Micro

    5 publications · 307 citations

    5

    h-index

  3. IEEE Access

    4 publications · 291 citations

    4

    h-index

  4. Electronics

    4 publications · 183 citations

    4

    h-index

  5. Proceedings of the IEEE

    4 publications · 1.3K citations

    4

    h-index

1–5