Gpu Sorting

GPU Sorting is a parallel sorting method that leverages the computational architecture of graphics processing units to accelerate the organization of data elements through high-throughput, fine-grained concurrent operations distinct from CPU-based sorting techniques.

124

Publications

7.5K

Citations

372

Authors

157

Institutions

Publications per year

2017–2026

31

Authors

372

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    6 publications · 856 citations

    6

    h-index

  2. NK
    Naga K. Govindaraju

    University of North Carolina at Chapel Hill, United States

    6 publications · 1.1K citations

    6

    h-index

  3. JD
    John D. Owens

    University of California, Davis, United States

    5 publications · 126 citations

    5

    h-index

  4. SA
    Saman Ashkiani

    University of California, Davis, United States

    3 publications · 48 citations

    3

    h-index

  5. PJ
    P. J. Narayanan

    International Institute of Information Technology, Hyderabad, India

    3 publications · 92 citations

    3

    h-index

1–5 of 372

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 279 citations

    4

    h-index

  2. 3

    h-index

  3. Computer Graphics Forum

    3 publications · 151 citations

    3

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 113 citations

    3

    h-index

  5. Parallel Computing

    3 publications · 42 citations

    3

    h-index

1–5