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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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'''''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}}
{{CShortCut|milepost-gcc}}
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{{NEWS}}
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<div style="color:red; font-weight:bold; "><H2>
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* MILEPOST GCC is now a part of the [[CTools:CTuningCC|cTuning Compiler Collection (cTuning CC)]].
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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].
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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** [[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.  
** [[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.  
** [http://cTuning.org/project-milepost Official info for the MILEPOST project (2006-2009)].
** [http://cTuning.org/project-milepost Official info for the MILEPOST project (2006-2009)].
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{{News|
 
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* '''2010.May.14''' - Call for papers: [http://asplos11.cs.ucr.edu ASPLOS 2011].
 
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* '''2010.April.28''' - List of all projects accepted for Google Summer of Code 2010 is now [http://socghop.appspot.com/gsoc/program/list_projects/google/gsoc2010 available on-line]. There are many projects related to [http://gcc.gnu.org/wiki/SummerOfCode GCC], LLVM, MONO, etc.<BR>Discussion page about GCC as a research compiler [[Dissemination:Workshops:GROW10:GCC_as_a_research_compiler|has been updated]].<BR>Diego Novillo started a proposal to [http://gcc.gnu.org/wiki/ModularGCC modularize GCC].
 
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* '''2010.April.14''' - Long awaited GCC 4.5 has been [http://gcc.gnu.org/gcc-4.5 released]! It features new plugin framework with some parts of [http://cTuning.org/ici ICI] to continue GCC modularization and parametrization, simplify pass manipulation and reordering, and enable better integration with [http://cTuning.org cTuning]/[http://cTuning.org/milepost-gcc MILEPOST] tools to automate optimization space exploration and prediction of profitable combinations of program transformations during multi-objective optimizations (balancing execution time, code size, compilation time, etc) for a given program/dataset/architecture.
 
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* '''2010.March.17''' - We pre-released all tools including [[CTools:MilepostGCC|MILEPOST GCC]], [[CTools:CCC|CCC framework]], [[CTools:CBench|cBench]] and [[CDatabase|cDatabase]]. It's a major update of cTuning tools including support of transparent optimizations of programs and libraries, better multi-objective optimization (including balancing of execution time, code size and compilation time), bug fixes in averaging multiple optimization cases, C++ support in MILEPOST GCC, support of all version of GCC 4.4, new static features in MILEPOST GCC, extended documentation, etc. Feedback and comments are welcome [http://groups.google.com/group/ctuning-discussions/browse_thread/thread/c22a6109d57905f7 here].
 
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* '''2010.March.01''' - CGO'10 program is available [http://www.cgo.org/cgo2010/program.html on-line].
 
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*'''2010.February.22''' - MILEPOST 1.5 GCC 4.4.0 pre-release is now [http://groups.google.com/group/ctuning-discussions/browse_thread/thread/953f063d9eaab744 available].
 
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*'''2010.February.18''' - We are in the process of updating this website as well as MILEPOST GCC, CCC framework, web-services.).
 
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<BR>
 
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:::::: ''[http://groups.google.com/group/ctuning-announce News archive]''
 
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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.





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MILEPOST GCC

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

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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 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...
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