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{{CMenu:CTools|MilepostGCC}}
{{CMenu:CTools|MilepostGCC}}
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== References: ==
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* [[Dissemination:Workshops:GROW10:GCC_as_a_research_compiler|Using GCC as a research compiler (off-line discussion after GROW'10 workshop)]]
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== Publications: ==
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* MILEPOST GCC: machine learning based research compiler ([http://fursin.net/wiki/index.php5?title=Research:Dissemination#FMTP2008 link]).
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* Collective Tuning Initiative: automating and accelerating development and optimization of computing systems ([http://fursin.net/wiki/index.php5?title=Research:Dissemination#Fur2009 link]).
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* Collective optimization ([http://fursin.net/wiki/index.php5?title=Research:Dissemination#FT2009 link]).
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== Press: ==
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* IBM press-release about MILEPOST GCC ([http://www-03.ibm.com/press/us/en/pressrelease/27874.wss 2009.06.30], [http://www-03.ibm.com/press/us/en/pressrelease/24548.wss 2008.06.30]).
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* [http://www.infoworld.com/d/developer-world/rethinking-code-optimization-mobile-and-multicore-505 InfoWorld: Rethinking code optimization for mobile and multicore]
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* [http://tech.slashdot.org/story/09/07/03/0143233/IBM-Releases-Open-Source-Machine-Learning-Compiler Slashdot.org: IBM Releases Open Source Machine Learning Compiler]
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* [http://www.drdobbs.com/linux-open-source/218102130 Dr Dobb: Milepost GCC Now Available]
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* [http://www.hpcwire.com/offthewire/IBM-Research-Announces-Intelligent-Compiler-49521262.html HPCWire: IBM Research Announces Intelligent Compiler]
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* [http://cordis.europa.eu/ictresults/index.cfm?section=news&tpl=article&ID=91208 ICT Results: Machine-learning revolutionises software development]
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== Misc: ==
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* Nik is trying to use cTuning CC/MILEPOST GCC to optimize [https://bugzilla.mozilla.org/show_bug.cgi?id=502352 Mozilla] code. More info is available at [http://nikhilkapur.blogspot.com/search/label/Mozilla his blog].
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* Yuriy Kashikov has been using cTuning CC/MILEPOST GCC to optimize BerkeleyDB and reported speedups of 1.4 times in comparison with native GCC 4.4.0 (-O3) on several Intel Xeon machines  without loosing much compilation time or code size.

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Navigation: cTuning.org > CTools > MilepostGCC

Contents

References:

Publications:

  • MILEPOST GCC: machine learning based research compiler (link).
  • Collective Tuning Initiative: automating and accelerating development and optimization of computing systems (link).
  • Collective optimization (link).

Press:

Misc:

  • Nik is trying to use cTuning CC/MILEPOST GCC to optimize Mozilla code. More info is available at his blog.
  • Yuriy Kashikov has been using cTuning CC/MILEPOST GCC to optimize BerkeleyDB and reported speedups of 1.4 times in comparison with native GCC 4.4.0 (-O3) on several Intel Xeon machines without loosing much compilation time or code size.
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