Gpu Cluster Computing

GPU Cluster Computing is a form of heterogeneous cluster computing that integrates multiple interconnected graphics processing units (GPUs) within a distributed system to accelerate large-scale parallel computations, distinguished by its reliance on GPU architectures for high-throughput data-parallel processing.

312

Publications

13.2K

Citations

1.1K

Authors

401

Institutions

Publications per year

2017–2026

109

Authors

1.1K

  1. DK
    Dhabaleswar K. Panda

    The Ohio State University, United States

    9 publications · 491 citations

    9

    h-index

  2. SP
    Sreeram Potluri

    The Ohio State University, United States

    6 publications · 303 citations

    6

    h-index

  3. KH
    Khaled Hamidouche

    The Ohio State University, United States

    6 publications · 354 citations

    6

    h-index

  4. FM
    Frank Mueller

    North Carolina State University, United States

    5 publications · 231 citations

    5

    h-index

  5. CL
    Chao‐An Lin

    National Tsing Hua University, Taiwan

    5 publications · 110 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 336 citations

    10

    h-index

  2. The Journal of Supercomputing

    10 publications · 164 citations

    10

    h-index

  3. Computer Physics Communications

    11 publications · 533 citations

    10

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 9 publications · 375 citations

    8

    h-index

  5. 6

    h-index

1–5