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+ | * '''2010.December.31''' - Dear all, we wish you very nice and relaxing holidays and super-exciting, productive and successful New Year ;) !.. | ||
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+ | * '''2010.December.25''' - The website for SMART'2011 workshop (co-located with CGO'2011) is now finalized and the submission website is open! Please, follow this [http://cTuning.org/workshop-smart2011 link], submit your best papers ;) and spread the word! | ||
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+ | * '''2010.December.20''' - Extended variant of our paper on "Collective Optimization" will appear in December issue of the ACM Transactions on Architecture and Code Optimization (TACO). PDF and BIB are now available here: {{Ref|FT2010}}. | ||
* '''2010.October.31''' - Paper about practical aggregation of semantical program properties for machine learning based optimization by M.Namolaru et al from CASES'10 is now available on-line [http://unidapt.org/index.php/Dissemination#MCFP2010 here]. It describes mechanisms of feature extraction inside [http://cTuning.org/ctuning-cc MILEPOST GCC/cTuning CC]. | * '''2010.October.31''' - Paper about practical aggregation of semantical program properties for machine learning based optimization by M.Namolaru et al from CASES'10 is now available on-line [http://unidapt.org/index.php/Dissemination#MCFP2010 here]. It describes mechanisms of feature extraction inside [http://cTuning.org/ctuning-cc MILEPOST GCC/cTuning CC]. |
Revision as of 23:56, 30 December 2010
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MILEPOST GCC |
machine-learning enabled self-tuning compiler |
Web shortcut: http://cTuning.org/milepost-gcc Navigation: cTuning.org > CTools
MILEPOST GCC is now a part of the cTuning Compiler Collection (cTuning CC).MILEPOST GCC is the first practical attept to build machine learning enabled open-source self-tuning production (and research) compiler that can adapt to any architecture using iterative feedback-directed compilation, machine learning and collective optimization. It is based on production quality GCC that supports more than 30 families of architectures and can compile real, large applications including Linux, and on Interactive Compilation Interface that provides plugin system to access internals of compilers. MILEPOST GCC attempts to correlate program features and program optimizations during empirical iterative compilation to predict good optimizations for unseen programs based on prior learning. MILEPOST and cTuning infrastructure automates code and architecture optimization to improve execution time, code size, compilation time and other characteristics at the same time. This technology is not GCC-dependent and can be used in any compiler using common Interactive Compilation Interface and compiler independent plugins. The first version of the MILEPOST GCC and MILEPOST framework has been created during the MILEPOST project. All public MILEPOST developments have been coordinated by Grigori Fursin. More information can be found in the following paper about MILEPOST GCC. ![]()
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