Runtime Optimization Feedback
Runtime Optimization Feedback is a runtime optimization mechanism in Just-In-Time Compilation that dynamically refines code execution performance by incorporating profiling data and execution context gathered during program execution to guide adaptive recompilation and optimization decisions.
15
Publications
602
Citations
45
Authors
28
Institutions
Publications per year
2017–2026
2
Parents
15
Facilitating the search for compositions of program transformations
Albert Cohen, Marc Sigler, Sylvain Girbal et al. · 2005 · 105 citations
Parametric multi-level tiling of imperfectly nested loops
Albert Hartono, Muthu Manikandan Baskaran, Cédric Bastoul et al. · 2009 · 82 citations · Full text
Jeremy Lau, Matthew Arnold, Michael Hind et al. · ACM SIGPLAN Notices · 2006 · 57 citations
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IBM (United States)
Armonk, United States
2 h-index
4 publications
204 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
85 citations

Rice University
Houston, United States
2 h-index
3 publications
94 citations

McGill University
Montreal, Canada
2 h-index
4 publications
100 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
180 citations
William & Mary
Williamsburg, United States
2 h-index
3 publications
50 citations
IBM Research - Haifa
Haifa, Israel
1 h-index
2 publications
48 citations
Williams (United States)
Tulsa, United States
1 h-index
2 publications
40 citations
1–8 of 28
PVLDB · 1 publications · 41 citations
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PACT · Conference · 1 publications · 24 citations
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1 publications · 57 citations
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SEN · 1 publications · 32 citations
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