Runtime Specialization
Runtime Specialization is a Just-In-Time Compilation technique that dynamically generates optimized versions of code during program execution based on observed runtime behaviors, thereby improving performance by specializing code for specific execution contexts.
78
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3.7K
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205
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78
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2017–2026
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Erik Hilsdale, Jim Hugunin · 2004 · 342 citations
Trace-based just-in-time type specialization for dynamic languages
Andreas Gal, Brendan Eich, Mike Shaver et al. · 2009 · 341 citations
Optimizing ML with run-time code generation
Peter Lee, Mark P. Leone · 1996 · 205 citations · Full text
Wenzel Jakob, Sébastien Speierer, Nicolas Roussel et al. · ACM Transactions on Graphics · 2022 · 127 citations · Full text
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Institut national de recherche en sciences et technologies du numérique, France
8 publications · 751 citations
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Oracle (United States)
Austin, United States
6 h-index
8 publications
310 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
5 h-index
14 publications
1.4K citations
IBM (United States)
Armonk, United States
4 h-index
9 publications
226 citations
Adobe Systems (United States)
San Jose, United States
4 h-index
9 publications
863 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
532 citations
Stanford University
Stanford, United States
4 h-index
14 publications
444 citations
Intel (United States)
Santa Clara, United States
4 h-index
6 publications
452 citations
Mozilla Foundation
Mountain View, United States
3 h-index
21 publications
3.9K citations
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8 publications · 175 citations
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3 publications · 69 citations
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2 publications · 44 citations
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1 publications · 11 citations
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