Distributed Gpu Computing
Distributed GPU Computing is a computational paradigm that coordinates multiple GPU devices across interconnected computing nodes to collaboratively execute large-scale parallel workloads, distinguished from localized or single-node GPU computing by its reliance on networked communication and data distribution mechanisms.
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4.4K
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356
Authors
125
Institutions
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2017–2026
44
Variants
Distributed Graphics Processing Unit Computing
91
Scalable distributed DNN training using commodity GPU cloud computing
Nikko Ström · 2015 · 547 citations
Henggang Cui, Hao Zhang, Gregory R. Ganger et al. · 2016 · 304 citations · Full text
GPU clusters for high-performance computing
Volodymyr Kindratenko, Jeremy Enos, Guochun Shi et al. · 2009 · 222 citations
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125
The University of Texas at Austin
Austin, United States
5 h-index
24 publications
844 citations

Brookhaven National Laboratory
Upton, United States
4 h-index
18 publications
390 citations
The Ohio State University
Columbus, United States
3 h-index
10 publications
198 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
161 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
524 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
11 publications
373 citations
University of Stuttgart
Stuttgart, Germany
2 h-index
7 publications
148 citations

Southern University of Science and Technology
Shenzhen, China
2 h-index
4 publications
194 citations
1–8 of 125
Repository · 9 publications · 786 citations
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2 publications · 31 citations
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TVCG · 2 publications · 38 citations
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2 publications · 32 citations
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2 publications · 33 citations
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