Roofline Model
Roofline Model is a performance modeling framework that characterizes the upper bounds of computational performance for a given hardware platform as a function of arithmetic intensity, distinguishing itself by integrating both peak compute and memory bandwidth constraints into a single visual and analytical construct.
54
Publications
6.4K
Citations
170
Authors
61
Institutions
Publications per year
2017–2026
37
54
Samuel Williams, Andrew Waterman, David A. Patterson · Communications of the ACM · 2009 · 2.4K citations · Full text
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
Chen Zhang, Peng Li, Guangyu Sun et al. · 2015 · 2.1K citations
Jee Choi, Daniel Bedard, Robert J. Fowler et al. · 2013 · 122 citations
1–5 of 54
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Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal
5 publications · 234 citations
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5
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3
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1–5 of 170
61

Lawrence Berkeley National Laboratory
Berkeley, United States
12 h-index
43 publications
3.9K citations
National Energy Research Scientific Computing Center
Berkeley, United States
5 h-index
21 publications
831 citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
5 h-index
15 publications
722 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
4 h-index
8 publications
452 citations
Politecnico di Milano
Milan, Italy
4 h-index
9 publications
242 citations
University of Lisbon
Lisbon, Portugal
4 h-index
13 publications
690 citations
University of California, Berkeley
Berkeley, United States
3 h-index
8 publications
4.8K citations
KU Leuven
Leuven, Belgium
2 h-index
6 publications
146 citations
1–8 of 61
3 publications · 186 citations
3
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2 publications · 85 citations
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2 publications · 153 citations
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2 publications · 36 citations
2
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1 publications · 24 citations
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