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We now use cTuning announce group and cTuning twitter for our news archive.

2010.January.1 - We wish you all a very happy and prosperous New Year with lots of exciting achievements maybe even related to cTuning technology ;) !

2009.November.11 - Small CCC analysis plugins update available at SVN to speedup queries when dealing with large amount of optimization data in cDatabases (gigabytes of data).

2009.November.7 - Submission deadline for SMART'10 workshop has been extended until the 22nd of November, 2009.

2009.October.2 - We successfully passed the final MILEPOST review and the project is officially over. We would like to thank all the partners from the University of Edinburgh, IBM Haifa, CAPS and ARC for a great collaborative work during last 3 years and cTuning community for a very interesting feedback and extensions! We released all the tools from the project and hope to continue extending them within community-driven cTuning.org. This infrastructure should open up many interesting research opportunities for performance auto-tuning based on statistical and machine learning techniques so we hope to see many more interesting extensions to the MILEPOST/cTuning technology soon ;) !..

2009.September.25 - New CFP for SMART'10 workshop co-located with HiPEAC'10 conference in Pisa, Italy is now available. Prof. Keith Cooper from Rice University kindly agreed to give a keynote talk.

2009.September.22 - Congratulations to Dr.Christophe Dubach who has won a presitigious BCS/CPHC Distinguished Dissertation Award for his thesis "Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space" supervised by Prof. Michael O'Boyle. This topic is related to cTuning technology!

2009.September.1 - The documentation of MILEPOST GCC/GCC ICI extensions by Yuanjie and Liang during GSOC'09 program is now available: Function cloning and program instrumentation and Fine grain program tuning. We would like to fully test and sync these developments with mainline GCC within next month or two.

2009.August.05 - The colleagues from the UNIDAPT Group started investigating the use of cTuning/MILEPOST technology and the UNIDAPT framework to predict good optimization and parallelization schemes for hybrid heterogeneous CPU/GPU-like architectures together with CAPS Entreprise based on run-time adaptation and profiling, empirical iterative compilation, statistical analysis, machine learning, program and dataset features and run-time decision trees (FT2010, FT2009, LCWP2009, Fur2009, JGVP2009, TWFP2009, FMTP2008, LFF2007, FCOP2005). They plan to add new optimization cases to the Collective Optimization Database in Autumn, 2009.

2009.July.27 - The paper "Portable Compiler Optimization Across Embedded Programs and Microarchitectures using Machine Learning" (DJBP2009) has been accepted for the 42nd IEEE/ACM International Symposium on Microarchitecture (MICRO). The research has been led by the colleagues from the University of Edinburgh - congratulations!

2009.July.22 - cTuning-related CFP: SMART'10 and GROW'10 workshops will be co-located with HiPEAC'10 conference in Pisa, Italy at the end of January, 2009. You are warmly invited to submit your novel research results and developments to our workshops! At the websites of these workshops you can find all information about topics, PC, deadlines and submission procedures.

2009.July.15 - New optimization cases to improve execution time, code size and compilation time are now available in Collective Optimization Database for cBench, EEMBC, SPEC and other applications with multiple datasets using MILEPOST GCC 4.4.0 and 2 architectures (Intel and AMD) from GRID5000 (infrastructure for large scale parallel and distributed computing research).

2009.July.08 - The preprint of a paper "Collective Tuning Initiative: automating and accelerating development and optimization of computing systems" describing cTuning infrastructure is now available online (Fur2009).

2009.June.29 - Stable MILEPOST GCC 4.4.0 has been released. Follow further community developments at cTuning GCC ICI page and cTuning development mailing list.
Next, we plan to use MILEPOST/cTuning technology to enable realistic adaptive parallelization, data partitioning and scheduling for heterogeneous multi-core systems using statistical and machine learning techniques.

2009.June.26 - The pdf of the paper that describes Collective Tuning Infrastructure and cTuning concept (presented at the GCC Summit'09) will be available in a few weeks here.

2009.June.17 - We participated in discussions to include plugin system similar to ICI to mainline GCC for a long time and finally GCC 4.5 will feature a low-level plugin system. We are now synchronizing high-level ICI/MILEPOST with the mainline to be able to reuse all our available plugins. We also develop several new plugins within Google Summer of Code'2009 to enable XML representation of the compilation flow, fine-grain program optimizations and instrumentation, automatic tuning of optimization heuristic based on machine learning, and function-level run-time adaptation. Comparison of GCC low-level and high-level ICI plugins is available here. The ICI development and discussions mailing list is available here.

2009.June.10 - Extended version of the "Collective Optimization" paper (FT2009) describing collective tuning concept has been accepted for ACM Transactions on Architecture and Code Optimization (TACO).

2009.June.03-10 - We gave several talks/demos/tutorials about cTuning at the HiPEAC Computing week (Infineon, Munich, Germany) and GCC Summit (Montreal, Canada).

2009.June.01 - After nearly 1 year of developments we released/updated all our open-source collaborative R&D tools:
- fully redesigned and documented Interactive Compilation Interface v2.0 for GCC 4.4.0 synchronized with the official plugin GCC branch - transforming compilers into plugin-enabled research toolsets
- MILEPOST GCC 4.4.0 pre-release version at SVN - automating program optimization and compiler optimization heuristic tuning using machine learning
- Continuous Collective Compilation Framework v2.0 - enabling automatic collaborative program optimization based on statistical and machine learning techniques
- Collective Benchmark/MiDataSets v1.0 - enabling realistic program optimization research and benchmarking using multiple open-source programs/datasets.
  
  We also updated Collective Optimization Database with various optimization cases for Intel and AMD processors and comparison of different compilers including GCC, LLVM, Open64, Intel, etc - enabling sharing and reuse of optimization knowledge.
  
  We would like to thank cTuning community for feedback, help and support! You are welcome to join this community effort to automate program optimization and compiler/architecture design.

2009.April.27 - We gave a talk at the University of Illinois at Urbana-Champaign about Collective Tuning Initiative and tools and MILEPOST project ("Collective Optimization, run-time adaptation and machine learning"). Presentation is available here. We would like to thank all the UIUC colleagues for a very interesting and useful feedback.

2009.April.23 - Preview version of the optimization predictor based on static program features and machine learning (to improve program execution time, code size, etc) is now available on-line. It is an on-going project, so please be patient. Comments are welcome!

2009.April.21:

Several projects to enable automatic fine-grain program optimization and run-time adaptation in GCC using iterative compilation and machine learning (based on our cTuning/UNIDAPT/ICI/MILEPOST technology) have been accepted by the Google Summer of Code. You are welcome to join cTuning community and follow or participate in the developments using our dedicated mailing lists.

2009.Mar.27:

Dear friends! After long redevelopments I finally re-opened this website for pre-review. It is still in the testing stage - you are welcome to leave your positive or negative feedback. You can subscribe for cTuning mailing lists. I would like to thank everyone who contributed to this project so far and hope that you will join our effort!
Yours, Grigori Fursin.

2009.Mar.02:

Google Summer of Code'2009 will be accepting development applications soon - you are welcome to look at our cTools and cDatabase extension projects and feedback/suggestion pages if you would like to help us to extend our collaborative tools within this program!

2009.Feb.10:

The new Interactive Compilation Interface has been fully documented and ported to the GCC 4.4. It is now in the final stage of testing and synchronization with the GCC plugin branch. The official ICI website will be fully updated shortly after official GCC 4.4 release - follow our announcements.

2009.February:

We moved UNIDAPT website to Mediawiki

2008.November:

Prepared the first version of the cTuning Website and cDatabase.
Finishing and documenting Continuous Collective Compilation Framework.
Extending and moving ICI to the GCC 4.4.

2008.March-July:

Finished developing the first version of the MILEPOST GCC, Collective Compilation Framework and Collective Optimization Database.
Prepared the prototype of the cTuning website for the MILEPOST project
Collected data from about 4,000,000 experiments by MILEPOST partners and prepare machine learning to predict good program optimizations to reduce execution time and code size or tune default GCC optimization heuristic on a number of platforms.
Presented MILEPOST GCC at the GCC Summit'08.

2005-2007:

Prepared multiple datasets (MiDataSets) to enable realistic program and architecture optimizations, run-time adaptation and performance evaluation.
Added performance counters support to the Continuous Collective Compilation Framework to predict good optimizations based on run-time program features.
Added support for architectural design space exploration in the Continious Collective Compilation Framework.
Started MILEPOST project.

2004:

Grigori Fursin initiated discussions about developing practical continuous collective optimization and run-time adaptation techniques as well as developing self-tuning machine learning enabled research compiler based on his PhD research results with his colleagues from INRIA (France) and the University of Edinburgh (UK).
Started developing Interactive Compilation Interface to enable collaborative research using production compilers (based on Open64/PathScale compilers and later GCC).
Started developing UNIDAPT framework - a new hybrid static/dynamic approach to create self-tuning binaries based on static code multiversioning and run-time hardware counters monitoring routines to improve performance, power, fault-tolerance, etc. (and to enable run-time adaptation for statically compiled programs on heterogeneous multi-core architectures).
Started discussing statistical and machine learning techniques with colleagues from the University of Edinburgh to enable optimization knowledge reuse for program optimizations.