From cTuning.org
m |
|||
Line 14: | Line 14: | ||
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]. | ||
+ | |||
<div align="center" style="background-color:#FF7F7F">After long thinking and discussions with cTuning community, we may expect to get a new version of cTuning in Fall, 2011. Please, stay tuned ;) !.. <BR>Thank you for your interest and collaboration, [http://fursin.net/research Grigori Fursin]</div> | <div align="center" style="background-color:#FF7F7F">After long thinking and discussions with cTuning community, we may expect to get a new version of cTuning in Fall, 2011. Please, stay tuned ;) !.. <BR>Thank you for your interest and collaboration, [http://fursin.net/research Grigori Fursin]</div> | ||
+ | |||
<div align="center">http://ctuning.org/wiki/images/img-milepost-gcc-structure.gif</div> | <div align="center">http://ctuning.org/wiki/images/img-milepost-gcc-structure.gif</div> |
Revision as of 13:53, 3 January 2011
![]() |
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).Some more scientific aspects/details on Collective Optimization can be found in the following ACM TACO'10 publication. 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.
After long thinking and discussions with cTuning community, we may expect to get a new version of cTuning in Fall, 2011. Please, stay tuned ;) !..
Thank you for your interest and collaboration, Grigori Fursin
![]()
|
|