Opencl Programming

OpenCL Programming is a parallel computing framework that enables heterogeneous system architectures to execute computationally intensive tasks across diverse processing units, such as CPUs, GPUs, and FPGAs, by leveraging the OpenCL standard for cross-platform, device-agnostic kernel execution.

460

Publications

22.8K

Citations

1.4K

Authors

447

Institutions

Publications per year

2017–2026

133

Authors

1.4K

  1. WF
    Wu-chun Feng

    Virginia Tech, United States

    14 publications · 365 citations

    12

    h-index

  2. CD
    Christophe Dubach

    University of Edinburgh, United Kingdom

    11 publications · 715 citations

    11

    h-index

  3. MS
    Michel Steuwer

    University of Münster, Germany

    11 publications · 602 citations

    11

    h-index

  4. JL
    Jaejin Lee

    Seoul National University, South Korea

    10 publications · 657 citations

    10

    h-index

  5. AF
    Alastair F. Donaldson

    Imperial College London, United Kingdom

    9 publications · 423 citations

    9

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 249 citations

    7

    h-index

  2. The Journal of Supercomputing

    7 publications · 115 citations

    7

    h-index

  3. Procedia Computer Science

    6 publications · 89 citations

    6

    h-index

  4. Computer Physics Communications

    6 publications · 244 citations

    6

    h-index

  5. ACM SIGPLAN Notices

    5 publications · 140 citations

    5

    h-index

1–5