Gpu Interconnects

GPU Interconnects is a hardware architecture mechanism that enables high-bandwidth, low-latency communication between multiple graphics processing units by specifying the physical and logical pathways for data transfer, distinguishing it from general-purpose interconnects through its optimization for parallel graphics and compute workloads.

69

Publications

3.5K

Citations

275

Authors

101

Institutions

Publications per year

2017–2026

36

Authors

275

  1. EB
    Evgeny Bolotin

    The University of Texas at Austin, United States

    4 publications · 187 citations

    4

    h-index

  2. DN
    David Nellans

    University of Michigan, United States

    3 publications · 165 citations

    3

    h-index

  3. DR
    D. Rossetti

    Nvidia (United States), United States

    3 publications · 87 citations

    3

    h-index

  4. SL
    Shuaiwen Leon Song

    Pacific Northwest National Laboratory, United States

    3 publications · 354 citations

    3

    h-index

  5. TR
    Tilmann Rabl

    Technische Universität Berlin, Germany

    3 publications · 125 citations

    3

    h-index

1–5 of 275

Venues

  1. Computer Science - Research and Development

    CSRD · 3 publications · 210 citations

    3

    h-index

  2. IEEE Micro

    2 publications · 225 citations

    2

    h-index

  3. Journal of Parallel and Distributed Computing

    2 publications · 54 citations

    2

    h-index

  4. IBM Journal of Research and Development

    2 publications · 34 citations

    2

    h-index

  5. IEEE Computer Architecture Letters

    2 publications · 33 citations

    2

    h-index

1–5