Model Scheduling is a computational framework that determines the optimal execution order and timing of models in a system, distinguishing itself by coordinating resource allocation and task dependencies to maximize efficiency and meet performance constraints.
16
Publications
826
Citations
69
Authors
31
Institutions
Publications per year
2017–2026
4
Parents
Publications
16
Seungyeop Han, Haichen Shen, Matthai Philipose et al. · 2016 · 381 citations
Jinhui Yuan, Fei Gao, Qirong Ho et al. · 2015 · 163 citations
Richard Liaw, Romil Bhardwaj, Lisa Dunlap et al. · 2019 · 42 citations · Full text
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Authors
69
- QH
2
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- EP
2
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- LF
1
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- EW
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- JM
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1–5 of 69
Institutions
31
Carnegie Mellon University
Pittsburgh, United States
3 h-index
13 publications
860 citations
Microsoft (United States)
Redmond, United States
2 h-index
7 publications
1.8K citations
National Taiwan University of Science and Technology
Taipei, Taiwan
1 h-index
2 publications
46 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
42 citations
Bat Conservation International
Austin, United States
1 h-index
1 publications
15 citations
Beihang University
Beijing, China
1 h-index
1 publications
22 citations
RWTH Aachen University
Aachen, Germany
1 h-index
3 publications
33 citations
Society of General Internal Medicine
Alexandria, United States
1 h-index
8 publications
160 citations
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Venues
- IFAC Proceedings Volumes
1 publications · 11 citations
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- Academic Medicine
1 publications · 20 citations
1
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- Biosystems
1 publications · 11 citations
1
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- Pattern Recognition
1 publications · 17 citations
1
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- Forest Science
1 publications · 30 citations
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