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Abstract: This paper describes the implementation of an online feedback-directed optimization system. The system is fully automatic; it requires no prior (o#ine) profiling run. It uses a previously developed low-overhead instrumentation sampling framework to collect control flow graph edge profiles. This profile information is used to drive several traditional optimizations, as well as a novel algorithm for performing feedback-directed control flow graph node splitting. We empirically evaluate this... (Update)
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BibTeX entry: (Update)
Matthew Arnold, Michael Hind, and Barbara G. Ryder. Online feedback-directed optimization of Java. ACM SIGPLAN Notices, 37(11):111-129, November 2002. Published as part of the Proceedings of OOPSLA'02. http://citeseer.ist.psu.edu/article/arnold02online.html More
@misc{ arnold02online,
author = "M. Arnold and M. Hind and B. Ryder",
title = "Online feedback-directed optimization of Java",
text = "Matthew Arnold, Michael Hind, and Barbara G. Ryder. Online feedback-directed
optimization of Java. ACM SIGPLAN Notices, 37(11):111-129, November 2002.
Published as part of the Proceedings of OOPSLA'02.",
year = "2002",
url = "citeseer.ist.psu.edu/article/arnold02online.html" }
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4 Thin guards: A simple and e#ective technique for reducing th.. (context) - Arnold, Ryder - 2002
3 Interprocedural Path Profiling and the Interprocedural Expre.. (context) - Melski - 2002
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1 Online phase detection (context) - Hind, Rajan et al.
Documents on the same site (http://www.research.rutgers.edu/~marnold/):
Online Profiling And Feedback-Directed Optimization Of Java - Arnold (2002) (Correct)
Thin Guards: A Simple and Effective Technique for Reducing the .. - Arnold, Ryder (2002) (Correct)
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