Cuda Programming
CUDA Programming is a parallel programming model and computing platform that extends the C/C++ languages to enable direct control over the GPU architecture by allowing developers to write functions, known as kernels, that execute in parallel across thousands of threads organized in grids, blocks, and warps, thereby accelerating data-intensive computations.
692
Publications
62.8K
Citations
2K
Authors
656
Institutions
Publications per year
2017–2026
141
692
Yangqing Jia, Evan Shelhamer, Jeff Donahue et al. · 2014 · 11.2K citations
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue et al. · arXiv (Cornell University) · 2014 · 4.3K citations · Full text
Satish Balay, Shrirang Abhyankar, Mark F. Adams et al. · 2019 · 2K citations
Scalable parallel programming with CUDA
John Nickolls, Ian Buck, Michael Garland et al. · 2008 · 1.6K citations
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656
Nvidia (United States)
Santa Clara, United States
21 h-index
54 publications
4.3K citations
University of California, Berkeley
Berkeley, United States
13 h-index
39 publications
112.5K citations
Argonne National Laboratory
Lemont, United States
13 h-index
25 publications
905 citations

Oak Ridge National Laboratory
Oak Ridge, United States
13 h-index
28 publications
1.3K citations
Nvidia (United Kingdom)
Reading, United Kingdom
13 h-index
28 publications
11.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
56 publications
3.4K citations
Stanford University
Stanford, United States
12 h-index
42 publications
12.5K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
37 publications
1.2K citations
1–8 of 656
13 publications · 651 citations
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Repository · 15 publications · 4.9K citations
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TPDS · 11 publications · 766 citations
11
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11 publications · 248 citations
10
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9 publications · 542 citations
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