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Title:Adaptive Java Optimisation using Instance-based Learning
Authors: Shun Long ; Michael O'Boyle
Date:Jun 2004
Publication Title:Procs of 18th Annual ACM International Conference on Supercomputing (ICS'04)
Publication Type:Conference Paper
Page Nos:237-246
This paper describes a portable,machine learning-based approach to Java optimisation. This approach uses an instance-based learning scheme to select good transformations drawn from Pugh 's Unified Transformation Framework [11]. This approach was implemented and applied to a number of numerical Java benchmarks on two platforms. Using this scheme, we are able to gain over 70% of the performance improvement found when using an exhaustive iterative search of the best compiler optimisations. Thus we have a scheme that gives a high level of portable performance without any excessive compilations.
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Bibtex format
author = { Shun Long and Michael O'Boyle },
title = {Adaptive Java Optimisation using Instance-based Learning},
book title = {Procs of 18th Annual ACM International Conference on Supercomputing (ICS'04)},
year = 2004,
month = {Jun},
pages = {237-246},
url = {},

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