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
460
Satish Balay, Shrirang Abhyankar, Mark F. Adams et al. · 2019 · 2K citations
The Scalable Heterogeneous Computing (SHOC) benchmark suite
Anthony Danalis, Gabriel Marin, Collin McCurdy et al. · 2010 · 668 citations
Aaftab Munshi · 2009 · 644 citations
1–5 of 460
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447

University of Edinburgh
Edinburgh, United Kingdom
15 h-index
45 publications
3.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
38 publications
4.1K citations
Virginia Tech
Blacksburg, United States
12 h-index
36 publications
993 citations
University of Münster
Münster, Germany
11 h-index
32 publications
1.3K citations
Seoul National University
Seoul, South Korea
11 h-index
50 publications
3K citations

Imperial College London
London, United Kingdom
11 h-index
29 publications
1.5K citations
Argonne National Laboratory
Lemont, United States
10 h-index
29 publications
869 citations
University of Tsukuba
Tsukuba, Japan
9 h-index
39 publications
778 citations
1–8 of 447
Repository · 7 publications · 249 citations
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7 publications · 115 citations
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6 publications · 89 citations
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6 publications · 244 citations
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5 publications · 140 citations
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