Distributed Model Execution
Distributed Model Execution is a model execution paradigm in which computational tasks associated with a model are partitioned and processed across multiple interconnected computing nodes, distinguished by its orchestration of concurrent, geographically or logically separated resources to enhance scalability, fault tolerance, and efficiency in executing complex models.
103
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4.8K
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322
Authors
129
Institutions
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2017–2026
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Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw, Eric Liang, Robert Nishihara et al. · arXiv (Cornell University) · 2018 · 619 citations · Full text
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129
Georgia Institute of Technology
Atlanta, United States
3 h-index
12 publications
180 citations

University of Bologna
Bologna, Italy
3 h-index
8 publications
212 citations
Mitre (United States)
Bedford, United States
3 h-index
4 publications
165 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
10 publications
341 citations
Verimag
Gières, France
3 h-index
10 publications
386 citations

University of Rome Tor Vergata
Rome, Italy
3 h-index
10 publications
171 citations
Arizona State University
Tempe, United States
2 h-index
3 publications
52 citations
Referentia Systems (United States)
Honolulu, United States
2 h-index
2 publications
81 citations
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Repository · 4 publications · 1.1K citations
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3 publications · 64 citations
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3 publications · 91 citations
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TSE · 3 publications · 228 citations
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Conference · 2 publications · 59 citations
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