Gpu Architecture
GPU Architecture is a parallel computer architecture specialized for high-throughput execution of data-parallel workloads through a large number of streaming multiprocessors organized around single-instruction, multiple-data (SIMD) or single-instruction, multiple-thread (SIMT) execution models, distinguishing it from general-purpose CPU architectures by its emphasis on massively parallel throughput and memory bandwidth optimization.
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Publications per year
2017–2026
954
3.2K
Rodinia: A benchmark suite for heterogeneous computing
Shuai Che, Michael Boyer, Jiayuan Meng et al. · 2009 · 3K citations
John D. Owens, Michael Houston, David Luebke et al. · Proceedings of the IEEE · 2008 · 1.4K citations
NVIDIA Tesla: A Unified Graphics and Computing Architecture
Erik Lindholm, John Nickolls, Stuart F. Oberman et al. · IEEE Micro · 2008 · 1.3K citations
Ian Buck, Daniel Reiter Horn, Jeremy Sugerman et al. · ACM Transactions on Graphics · 2004 · 1.2K citations
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Nvidia (United States)
Santa Clara, United States
39 h-index
157 publications
18.2K citations
Nvidia (United Kingdom)
Reading, United Kingdom
38 h-index
118 publications
18K citations
Georgia Institute of Technology
Atlanta, United States
35 h-index
163 publications
11.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
32 h-index
179 publications
22.5K citations
Stanford University
Stanford, United States
31 h-index
120 publications
24.7K citations

Oak Ridge National Laboratory
Oak Ridge, United States
30 h-index
137 publications
13.1K citations
The University of Texas at Austin
Austin, United States
29 h-index
113 publications
7.5K citations
The Ohio State University
Columbus, United States
28 h-index
201 publications
10.8K citations
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TPDS · 74 publications · 3.5K citations
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Repository · 73 publications · 6.7K citations
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23 publications · 1.6K citations
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25 publications · 5.8K citations
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43 publications · 903 citations
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