Gpu Cluster Computing
GPU Cluster Computing is a form of heterogeneous cluster computing that integrates multiple interconnected graphics processing units (GPUs) within a distributed system to accelerate large-scale parallel computations, distinguished by its reliance on GPU architectures for high-throughput data-parallel processing.
312
Publications
13.2K
Citations
1.1K
Authors
401
Institutions
Publications per year
2017–2026
109
312
GPU Cluster for High Performance Computing
Zhe Fan, Feng Qiu, Arie Kaufman et al. · 2005 · 438 citations
GPU clusters for high-performance computing
Volodymyr Kindratenko, Jeremy Enos, Guochun Shi et al. · 2009 · 222 citations
1–5 of 312
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401
The Ohio State University
Columbus, United States
13 h-index
54 publications
2.6K citations

Oak Ridge National Laboratory
Oak Ridge, United States
12 h-index
32 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
23 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
25 publications
2.4K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
14 publications
818 citations
Nvidia (United States)
Santa Clara, United States
7 h-index
17 publications
911 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
10 publications
937 citations
Tokyo Institute of Technology
Tokyo, Japan
6 h-index
15 publications
910 citations
1–8 of 401
Repository · 11 publications · 336 citations
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10 publications · 164 citations
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11 publications · 533 citations
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TPDS · 9 publications · 375 citations
8
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6 publications · 146 citations
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