Adaptive Scaling
Adaptive Scaling is a dynamic resource allocation framework that distinguishes itself by automatically adjusting system capacity in response to real-time workload fluctuations to optimize throughput in computing environments.
196
Publications
8K
Citations
646
Authors
252
Institutions
Publications per year
2017–2026
81
Parents
196
Large Batch Training of Convolutional Networks
Yang You, Igor Gitman, Boris Ginsburg · arXiv (Cornell University) · 2017 · 509 citations · Full text
Power-Aware Speed Scaling in Processor Sharing Systems
Adam Wierman, Lachlan L. H. Andrew, Ao Tang · 2009 · 261 citations · Full text
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252
University of California San Diego
San Diego, United States
6 h-index
13 publications
363 citations
University of Science and Technology of China
Hefei, China
4 h-index
9 publications
232 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
11 publications
848 citations

University of Bristol
Bristol, United Kingdom
4 h-index
5 publications
116 citations
National University of Singapore
Singapore, Singapore
4 h-index
15 publications
273 citations
Philips (Netherlands)
Amsterdam, The Netherlands
4 h-index
9 publications
593 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
9 publications
345 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
11 publications
187 citations
1–8 of 252
4 publications · 201 citations
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Repository · 4 publications · 794 citations
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Conference · 3 publications · 54 citations
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3 publications · 74 citations
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TPDS · 3 publications · 70 citations
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