Distributed Gpu Computing

Distributed GPU Computing is a computational paradigm that coordinates multiple GPU devices across interconnected computing nodes to collaboratively execute large-scale parallel workloads, distinguished from localized or single-node GPU computing by its reliance on networked communication and data distribution mechanisms.

91

Publications

4.4K

Citations

356

Authors

125

Institutions

Publications per year

2017–2026

44

Variants

Distributed Graphics Processing Unit Computing

Authors

356

  1. MS
    Mingming Sun

    Baidu (China), China

    2 publications · 86 citations

    2

    h-index

  2. MS
    Mark Silberstein

    Technion – Israel Institute of Technology, Israel

    2 publications · 114 citations

    2

    h-index

  3. XZ
    Xinya Zhang

    South China University of Technology, China

    2 publications · 114 citations

    2

    h-index

  4. EP
    Eric P. Xing

    Carnegie Mellon University, United States

    2 publications · 347 citations

    2

    h-index

  5. MB
    Mauro Bisson

    Nvidia (United States), United States

    2 publications · 50 citations

    2

    h-index

1–5 of 356

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 786 citations

    9

    h-index

  2. Computer Graphics Forum

    2 publications · 31 citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 38 citations

    2

    h-index

  4. Computing in Science & Engineering

    2 publications · 32 citations

    2

    h-index

  5. Journal of Parallel and Distributed Computing

    2 publications · 33 citations

    2

    h-index

1–5