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Title:A Practical Method For Quickly Evaluating Program Optimizations
Authors: Grigori Fursin ; Albert Cohen ; Michael O'Boyle ; Oliver Temam
Date:Nov 2005
Publication Title:Procs of the 1st International Conference on High Performance Embedded Architectures & Compilers (HiPEAC 2005), LNCS
Publication Type:Conference Paper
Volume No:3793 Page Nos:29-46
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a single program optimization, we take advantage of periods of stable performance, called phases. For that purpose, we propose a low-overhead phase detection scheme geared toward fast optimization space pruning, using code instrumentation and versioning implemented in a production compiler. Our approach is driven by simplicity and practicality. We show that a simple phase detection scheme can be sufficient for optimization space pruning. We also show it is possible to search for complex optimizations at run-time without resorting to sophisticated dynamic compilation frameworks. Beyond iterative optimization, our approach also enables one to quickly design self-tuned applications. Considering 5 representative SpecFP2000 benchmarks, our approach speeds up iterative search for the best program optimizations by a factor of 32 to 962. Phase prediction is 99.4% accurate on average, with an overhead of only 2.6%. The resulting self-tuned implementations bring an average speed-up of 1.4.
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Bibtex format
author = { Grigori Fursin and Albert Cohen and Michael O'Boyle and Oliver Temam },
title = {A Practical Method For Quickly Evaluating Program Optimizations},
book title = {Procs of the 1st International Conference on High Performance Embedded Architectures & Compilers (HiPEAC 2005), LNCS},
year = 2005,
month = {Nov},
volume = {3793},
pages = {29-46},
url = {},

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