Loop Structure Optimization
Loop Structure Optimization is a computational method in program optimization that specifically enhances the efficiency of loops by restructuring their control flow and reducing redundant computations through transformations such as loop unrolling, fusion, and invariant code motion.
112
Publications
4.2K
Citations
258
Authors
120
Institutions
Publications per year
2017–2026
12
Parents
112
Discrete Optimization Problem in Local Networks and Data Alignment
M.A. Fiol, Yebra, Alegre et al. · IEEE Transactions on Computers · 1987 · 141 citations · Full text
Jack Dongarra, A.R. Hinds · Software Practice and Experience · 1979 · 127 citations
1–5 of 112
258
University of Illinois Urbana-Champaign, United States
4 publications · 116 citations
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3
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3
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3
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1–5 of 258
120
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
16 publications
366 citations
IBM (United States)
Armonk, United States
6 h-index
11 publications
345 citations
Princeton University
Princeton, United States
5 h-index
15 publications
351 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
14 publications
1.5K citations
Florida State University
Tallahassee, United States
3 h-index
6 publications
132 citations

McGill University
Montreal, Canada
3 h-index
5 publications
270 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
85 citations

Cornell University
Ithaca, United States
3 h-index
9 publications
438 citations
1–8 of 120
4 publications · 292 citations
4
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4 publications · 108 citations
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4 publications · 47 citations
4
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3 publications · 598 citations
3
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3 publications · 98 citations
3
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