Workload Scalability
Workload Scalability is a performance metric that characterizes the ability of a computing system to maintain or improve efficiency as the volume and complexity of tasks or requests increase proportionally.
46
Publications
4.3K
Citations
162
Authors
67
Institutions
Publications per year
2017–2026
16
Parents
46
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross Girshick et al. · arXiv (Cornell University) · 2017 · 2.6K citations · Full text
Towards Very Large-Scale Electronic-Structure Calculations
Stefano Baroni, Paolo Giannozzi · Europhysics Letters (EPL) · 1992 · 163 citations
Natural Sciences, Chemistry, Physics +13
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67
Columbia University
New York, United States
3 h-index
6 publications
90 citations

Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
8 publications
119 citations
George Mason University
Fairfax, United States
2 h-index
2 publications
85 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
79 citations
Darmstadt University of Applied Sciences
Darmstadt, Germany
2 h-index
6 publications
201 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
2 publications
51 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
2 publications
192 citations
National Cancer Institute
Bethesda, United States
1 h-index
1 publications
13 citations
1–8 of 67
BMT · 2 publications · 67 citations
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2 publications · 67 citations
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2 publications · 155 citations
2
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1 publications · 62 citations
1
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1 publications · 57 citations
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