Multi-gpu Architectures

Multi-GPU Architecture is a parallel computing system architecture that integrates multiple graphics processing units within a single computational framework to cooperatively execute large-scale, data-intensive workloads by distributing and synchronizing processing tasks across interconnected GPU nodes.

499

Publications

36.5K

Citations

1.7K

Authors

530

Institutions

Publications per year

2017–2026

198

Authors

1.7K

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    7 publications · 196 citations

    7

    h-index

  2. OV
    Oreste Villa

    Pacific Northwest National Laboratory, United States

    6 publications · 491 citations

    6

    h-index

  3. MB
    Massimo Bernaschi

    Istituto per le Applicazioni del Calcolo Mauro Picone, Italy

    6 publications · 116 citations

    6

    h-index

  4. AA
    Ammar Ahmad Awan

    The Ohio State University, United States

    5 publications · 438 citations

    5

    h-index

  5. DN
    David Nellans

    University of Michigan, United States

    5 publications · 346 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 11.2K citations

    18

    h-index

  2. Computer Physics Communications

    16 publications · 661 citations

    13

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 345 citations

    9

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 492 citations

    8

    h-index

  5. 8

    h-index

1–5