Selector Generation
Selector Generation is a compiler optimization technique that systematically produces instruction selectors by deriving tree-pattern matching rules from a target machine's instruction set architecture to enable efficient translation of intermediate representations into valid machine code.
25
Publications
778
Citations
105
Authors
48
Institutions
Publications per year
2017–2026
12
Parents
25
An efficient selector for multi-granularity attribute reduction
Keyu Liu, Xibei Yang, Xibei Yang et al. · Information Sciences · 2019 · 119 citations
Interference-Resilient Information Exchange
Seth Gilbert, Rachid Guerraoui, Dariusz R. Kowalski et al. · 2009 · 63 citations · Full text
RaacLogo: a new sequence logo generator by using reduced amino acid clusters
Lei Zheng, Dongyang Liu, Wuritu Yang et al. · Briefings in Bioinformatics · 2020 · 49 citations
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48
Nanjing University
Nanjing, China
2 h-index
4 publications
84 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
39 citations
University of California, Berkeley
Berkeley, United States
1 h-index
4 publications
132 citations

Hungarian Academy of Sciences
Budapest, Hungary
1 h-index
5 publications
125 citations

South China University of Technology
Guangzhou, China
1 h-index
4 publications
96 citations
Information Technologies Institute
Thessaloniki, Greece
1 h-index
3 publications
108 citations

Southwest Jiaotong University
Chengdu, China
1 h-index
2 publications
238 citations
Huawei Technologies (Sweden)
Stockholm, Sweden
1 h-index
7 publications
210 citations
1–8 of 48
1 publications · 39 citations
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Conference · 1 publications · 40 citations
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TASLP · 1 publications · 24 citations
1
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1 publications · 14 citations
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1 publications · 14 citations
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