Tuning the optimization parameter set for code size

dc.contributor.author Chebolu, N. A.B.Sankar
dc.contributor.author Wankar, Rajeev
dc.contributor.author Chillarige, Raghavendra Rao
dc.date.accessioned 2022-03-27T00:16:14Z
dc.date.available 2022-03-27T00:16:14Z
dc.date.issued 2012-12-01
dc.description.abstract 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. © 2012 Springer-Verlag.
dc.identifier.citation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.7694 LNAI
dc.identifier.issn 03029743
dc.identifier.uri 10.1007/978-3-642-35455-7_20
dc.identifier.uri http://link.springer.com/10.1007/978-3-642-35455-7_20
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/3100
dc.title Tuning the optimization parameter set for code size
dc.type Book Series. Conference Paper
dspace.entity.type
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