Gpu Load Balancing

GPU Load Balancing is a computational optimization framework that distributes graphical rendering tasks across multiple GPU units in a coordinated manner to prevent resource underutilization and mitigate performance bottlenecks during frame rate processing.

117

Publications

5.6K

Citations

424

Authors

148

Institutions

Publications per year

2017–2026

43

Authors

424

  1. KS
    Karsten Schwan

    Georgia Institute of Technology, United States

    3 publications · 79 citations

    3

    h-index

  2. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    3 publications · 74 citations

    3

    h-index

  3. KL
    Kenli Li

    Hunan University, China

    4 publications · 74 citations

    3

    h-index

  4. AP
    Alistair P. Rendell

    Australian National University, Australia

    2 publications · 88 citations

    2

    h-index

  5. JE
    John E. Stone

    University of Illinois Urbana-Champaign, United States

    2 publications · 276 citations

    2

    h-index

1–5 of 424

Venues

  1. Journal of Parallel and Distributed Computing

    5 publications · 86 citations

    5

    h-index

  2. ACM Transactions on Graphics

    TOG · 3 publications · 118 citations

    3

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 87 citations

    3

    h-index

  4. Future Generation Computer Systems

    FGCS · 2 publications · 55 citations

    2

    h-index

  5. Eurographics Workshop on Parallel Graphics and Visualization

    Conference · 2 publications · 38 citations

    2

    h-index

1–5