Graphics Processing Unit Computing

Graphics Processing Unit Computing is a form of parallel computing that leverages the highly parallel architecture of graphics processing units to perform general-purpose scientific, engineering, and data-intensive computations more efficiently than traditional central processing units.

6.9K

Publications

363.4K

Citations

15.8K

Authors

2.7K

Institutions

Publications per year

2017–2026

1.9K

Authors

15.8K

  1. JD
    John D. Owens

    University of California, Davis, United States

    59 publications · 8.7K citations

    36

    h-index

  2. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    72 publications · 4.1K citations

    30

    h-index

  3. ST
    Stanimire Tomov

    University of Tennessee at Knoxville, United States

    60 publications · 3.2K citations

    30

    h-index

  4. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    38 publications · 3.9K citations

    28

    h-index

  5. BH
    Bingsheng He

    National University of Singapore, Singapore

    49 publications · 3.1K citations

    27

    h-index

1–5 of 15.8K

Venues

  1. arXiv (Cornell University)

    Repository · 141 publications · 15.4K citations

    45

    h-index

  2. ACM Transactions on Graphics

    TOG · 78 publications · 12.3K citations

    43

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 136 publications · 6.2K citations

    42

    h-index

  4. Parallel Computing

    62 publications · 3.7K citations

    31

    h-index

  5. Computer Physics Communications

    70 publications · 3.2K citations

    31

    h-index

1–5