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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Tuning the Optimization Parameter Set for Code Size
verfasst von : N. A. B. Sankar Chebolu, Rajeev Wankar, Raghavendra Rao Chillarige
Erschienen in: Multi-disciplinary Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Determining nearly optimal optimization options for modern day compilers is a combinatorial problem. Added to this, specific to a given application, platform and optimization objective, fine tuning the parameter set being used by various optimization passes, enhance the complexity further. In this paper we propose a greedy based iterative approach and investigate the impact of fine-tuning the parameter set on the code size. The effectiveness of our approach is demonstrated on some of benchmark programs from SPEC2006 benchmark suite that there is a significant impact of tuning the parameter values on the code size.