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{{CTitle|http://ctuning.org/wiki/images/logo_milepost_gcc.gif|MILEPOST GCC|machine-learning enabled self-tuning compiler}}
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'''''NEWS: Since 2015, we moved all related developments to our new [http://github.com/ctuning/ck/wiki Collective Knowledge Framework]! Demo of a new live repository is available [http://cknowledge.org/repo here].'''''
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{{CTitle|http://ctuning.org/wiki/images/milepost_image.jpg|MILEPOST GCC|machine-learning enabled self-tuning compiler}}
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{{CShortCut|milepost-gcc}}
{{CMenu:CTools|}}
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MILEPOST GCC is an attept to build the first machine learning enabled open-source self-tuning research and production compiler that can adapt to any architecture using iterative feedback-directed compilation, machine learning and collective optimization. It is based on production quality [http://gcc.gnu.org GCC] that supports more than 30 families of architectures and can compile real, large applications including Linux, and on [[CTools:ICI|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 [[CTools:ICI|Interactive Compilation Interface]] and compiler independent plugins. More information can be found in the following paper about [http://unidapt.org/index.php/Dissemination#FMTP2008 MILEPOST GCC].
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{{NEWS}}
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<div style="color:red; font-weight:bold; "><H2>
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http://ctuning.org/wiki/images/gcc-ici-structure.gif
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* MILEPOST GCC is now a part of the [[CTools:CTuningCC|cTuning Compiler Collection (cTuning CC)]].
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</div>
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* Reference publication about MILEPOST GCC in IJPP'11 is now available [http://fursin.net/wiki/index.php5?title=Research:Dissemination#FKMP2011 here].
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</H2></div>
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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 [http://gcc.gnu.org GCC] that supports more than 30 families of architectures and can compile real, large applications including Linux, and on [[CTools:ICI|Interactive Compilation Interface]] that provides plugin system to access internals of compilers. MILEPOST GCC attempts to correlate [[CTools:MilepostGCC:StaticFeatures|program features]] and [[CDatabase|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 [[CTools:ICI|Interactive Compilation Interface]] and compiler independent plugins. The first version of the MILEPOST GCC and [[CTools:MilepostFramework|MILEPOST framework]] has been created during the [http://cTuning.org/project-milepost MILEPOST project]. All public MILEPOST developments have been coordinated by [http://fursin.net/research Grigori Fursin]. More information can be found in the following paper about [http://unidapt.org/index.php/Dissemination#FMTP2008 MILEPOST GCC].
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<div align="center">http://ctuning.org/wiki/images/img-milepost-gcc-structure.gif</div>
* '''Background:'''
* '''Background:'''
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* [[CTools:MilepostGCC:Documentation|'''Documentation''']]
* [[CTools:MilepostGCC:Documentation|'''Documentation''']]
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* '''[[CTools:MilepostGCC:Feedback|User suggestions and feedback]]'''
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* [[CTools:MilepostGCC:Feedback|'''User suggestions and feedback''']]
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* '''[[CTools:MilepostGCC:Projects|Projects to extend CCC Framework (development plan)]]'''
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* [[CTools:MilepostGCC:Dev:Bugs|'''Bug reports''']]
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* '''Current development:'''
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* [[CTools:MilepostGCC:FAQs|'''FAQs''']] - Does MILEPOST GCC solve all optimization problems? How similar is it ACOVEA tool? etc...
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**[[CTools:MilepostGCC:Dev:Source|Getting started / Source code]]
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**[[CTools:MilepostGCC:Dev:Discussions|Discussion forum]]
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**[[CTools:MilepostGCC:Dev:Bugs|Bug reports]]
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* '''Related:'''
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** [http://ctuning.org/wiki/index.php/Special:CPredict Online predictor of optimizations based on program features].
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{{News|
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** [[CDatabase|Collective optimization repository]] to continuously collect profitable optimization cases from the community that improve program execution time, code size, compilation time, etc...
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<BR>
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** [[CTools:CCC|CCC framework]] - Continuous Collective Compilation Framework to automate search of profitable optimization cases to improve program execution time, code size, compilation time, etc. It is used to train MILEPOST GCC and has some similarities with the useful [http://www.coyotegulch.com/products/acovea ACOVEA tool] but also allows automatic sharing of optimization knowledge with the community in the [[CDatabase|Collective Optimization Database]] and uses plugins to implement various search techniques besides genetic algorithms.
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:::::: ''[http://groups.google.com/group/ctuning-announce News archive]''
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** [http://cTuning.org/project-milepost Official info for the MILEPOST project (2006-2009)].
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''You are welcome to [[Join|join]] us and participate in CCC developments, discussions, provide feedback or suggestions to extend CCC or add new functionality. The framework currently supports multiple compilers including GCC, Open64, PathScale, Intel ICC, IBM XLC and a large number of server, desktop and embedded architectures.''
 
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| align="center" style="background: rgb(0, 100, 159) none repeat scroll 0% 0%; -moz-background-clip: -moz-initial; -moz-background-origin: -moz-initial; -moz-background-inline-policy: -moz-initial; color: white;" | '''CCC supporters:'''
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| align="center" style="background: rgb(0, 100, 159) none repeat scroll 0% 0%; -moz-background-clip: -moz-initial; -moz-background-origin: -moz-initial; -moz-background-inline-policy: -moz-initial; color: white;" | '''MILEPOST GCC friends:'''
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| align="center" valign="top" | {{CTools:CCC:Logo_Friends}}
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| align="center" valign="top" | {{CTools:MilepostGCC:Logo_Friends}}
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<div align="center"><br>''You are welcome to register your interest at this [[Community:Friends|page]]''.</div>
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Current revision

NEWS: Since 2015, we moved all related developments to our new Collective Knowledge Framework! Demo of a new live repository is available here.





milepost_image.jpg

MILEPOST GCC

machine-learning enabled self-tuning compiler 
Web shortcut: http://cTuning.org/milepost-gcc

Navigation: cTuning.org > CTools

NOTES:

cTuning Google discussions list


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.

img-milepost-gcc-structure.gif
  • FAQs - Does MILEPOST GCC solve all optimization problems? How similar is it ACOVEA tool? etc...
MILEPOST GCC friends:
logo_unidapt1.gif logo_inria.gif logo_uvsq1.jpg logo_embecosm.gif logo_ue.gif logo_ibm.jpg logo_arc.gif logo_milepost.jpglogo_ict.gif logo_hipeac.jpg
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