Data Reuse Optimization
Data Reuse Optimization is a data movement optimization technique that specifically enhances computational efficiency by minimizing redundant data transfers through the strategic exploitation of previously accessed data within cache, memory, or storage hierarchies.
35
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1.5K
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114
Authors
51
Institutions
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2017–2026
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Polyhedral-based data reuse optimization for configurable computing
Louis-Noël Pouchet, Peng Zhang, P. Sadayappan et al. · 2013 · 163 citations
Tobias Grosser, Albert Cohen, Paul H. J. Kelly et al. · 2013 · 88 citations
DryadInc: reusing work in large-scale computations
Lucian Popa, Mihai Budiu, Yuan Yu et al. · 2009 · 86 citations
Efficient and scalable computations with sparse tensors
Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache et al. · 2012 · 65 citations
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The Ohio State University
Columbus, United States
3 h-index
6 publications
359 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
260 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
9 publications
573 citations

Imperial College London
London, United Kingdom
3 h-index
6 publications
286 citations
Louisiana State University
Baton Rouge, United States
3 h-index
3 publications
126 citations

Pennsylvania State University
State College, United States
3 h-index
7 publications
103 citations
North Carolina State University
Raleigh, United States
2 h-index
5 publications
145 citations
Seoul National University
Seoul, South Korea
2 h-index
11 publications
399 citations
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1 publications · 272 citations
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1 publications · 10 citations
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Repository · 1 publications · 18 citations
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1 publications · 11 citations
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