Machine Code Optimization is a compiler back-end technique that transforms target-specific machine code into a semantically equivalent but more efficient form with respect to criteria such as execution speed, code size, or power consumption.
80
Publications
6.9K
Citations
182
Authors
69
Institutions
Publications per year
2017–2026
18
Parents
Publications
80
Siu Kwan Lam, Antoine Pitrou, Stanley Seibert · 2015 · 1.5K citations
Optimizing supercompilers for supercomputers
Michael Wolfe · 2020 · 840 citations
Cristian Diaconu, Craig Freedman, Erik Ismert et al. · 2013 · 469 citations
Thomas Würthinger, Christian Wimmer, Andreas Wöß et al. · 2013 · 290 citations
1–5 of 80
Authors
182
- CW
4
h-index
- PM
3
h-index
- HM
3
h-index
- JM
3
h-index
- MC
3
h-index
1–5 of 182
Institutions
69
Microsoft (United States)
Redmond, United States
6 h-index
30 publications
5.2K citations
Oracle (United States)
Austin, United States
5 h-index
6 publications
750 citations
University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
279 citations
TU Dortmund University
Dortmund, Germany
4 h-index
8 publications
323 citations
Johannes Kepler University of Linz
Linz, Austria
4 h-index
10 publications
1.3K citations
Rice University
Houston, United States
4 h-index
15 publications
948 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
3 h-index
5 publications
128 citations
Technical University of Munich
Munich, Germany
3 h-index
5 publications
647 citations
1–8 of 69
Venues
- ACM SIGPLAN Notices
5 publications · 89 citations
5
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- arXiv (Cornell University)
Repository · 3 publications · 72 citations
3
h-index
- Proceedings of the IEEE
2 publications · 262 citations
2
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- Linux journal
LJ · 1 publications · 10 citations
1
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 63 citations
1
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1–5