Online feedback-directed optimization of Java-Reference-Cited by-同舟云学术

Online feedback-directed optimization of Java

Published:2002-11-17 Issue:11 Volume:37 Page:111-129
ISSN:0362-1340
Container-title:ACM SIGPLAN Notices
language:en
Short-container-title:SIGPLAN Not.

Author:

Arnold Matthew¹,Hind Michael¹,Ryder Barbara G.²

Affiliation:

1. IBM T.J. Watson Research Center, Hawthorne, NY

2. Rutgers University, Piscataway, NJ

Abstract

This paper describes the implementation of an online feedback-directed optimization system. The system is fully automatic; it requires no prior (offline) 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 system and demonstrate improvements in peak performance of up to 17% while keeping overhead low, with no individual execution being degraded by more than 2% because of instrumentation.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://dl.acm.org/doi/pdf/10.1145/583854.582432

Reference44 articles.

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2. Implementing jalapeño in Java

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4. Continuous profiling

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