From cTuning.org
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| - | Collective Optimization Database (cDatabase or COD) provides a common global repository with data analysis plugins to share, analyze and reference useful program/architecture optimization cases. It has been developed to help users optimize programs, libraries, kernels and the whole systems (compiler optimizations/architecture configurations to improve execution time, code size, architecture size, power consumption, etc). It is intended to simplify and automate the design and optimization of programs, compilers, run-time systems and architectures based on recent statistical and machine learning techniques ({{Ref|FT2009}}, {{Ref|FMTP2008}}, {{Ref|ABCP2006}}, [http:// | + | Collective Optimization Database (cDatabase or COD) provides a common global repository with data analysis plugins to share, analyze and reference useful program/architecture optimization cases. It has been developed to help users optimize programs, libraries, kernels and the whole systems (compiler optimizations/architecture configurations to improve execution time, code size, architecture size, power consumption, etc). It is intended to simplify and automate the design and optimization of programs, compilers, run-time systems and architectures based on recent statistical and machine learning techniques ({{Ref|FT2009}}, {{Ref|FMTP2008}}, {{Ref|ABCP2006}}, [http://cTuning.org/project-milepost MILEPOST], [http://unidapt.org UNIDAPT]). We also hope that it will also be useful for adaptive parallelization and scheduling for the emerging and future heterogeneous multi-core systems including current CPU/GPU and CELL architectures ([http://fursin.net/wiki/index.php5?title=Research:Dissemination#LCWP2009 LCWP2009]). Finally, it is intended to improve the quality of academic research by avoiding costly duplicate experiments and providing replicable referable results. It can provide detailed performance analysis and comparison of different programs, datasets, compilers and architectures. It can be used to optimize programs on-the-fly when using cloud computing services. |
We currently keep information about architectures and their configurations, software environments, programs, datasets, compilers (such as GCC, Open64, ICC, PathScale and plan to add dynamic compilers such as LLVM, IBM Testerossa, etc), compiler flags for program and architecture optimizations, compiler [[CTools:ICI|ICI]] optimization passes, fine-grain program optimizations, execution time, code size, profiling statistics, program static and dynamic features (hardware counters), parallelization schemes, etc. | We currently keep information about architectures and their configurations, software environments, programs, datasets, compilers (such as GCC, Open64, ICC, PathScale and plan to add dynamic compilers such as LLVM, IBM Testerossa, etc), compiler flags for program and architecture optimizations, compiler [[CTools:ICI|ICI]] optimization passes, fine-grain program optimizations, execution time, code size, profiling statistics, program static and dynamic features (hardware counters), parallelization schemes, etc. | ||
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*'''2009.November.7''' - Submission deadline for [http://cTuning.org/workshop-smart10 SMART'10 workshop] has been extended until the 22nd of November, 2009. | *'''2009.November.7''' - Submission deadline for [http://cTuning.org/workshop-smart10 SMART'10 workshop] has been extended until the 22nd of November, 2009. | ||
| - | *'''2009.October.2''' - We successfully passed the final [http:// | + | *'''2009.October.2''' - We successfully passed the final [http://cTuning.org/project-milepost 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 [http://cTuning.org/community 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 [http://cTuning.org 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 [http://ctuning.org/workshop-smart10 SMART'10 workshop] co-located with HiPEAC'10 conference in Pisa, Italy is now available. [http://www.cs.rice.edu/~keith Prof. Keith Cooper] from Rice University kindly agreed to give a keynote talk. | *'''2009.September.25''' - New CFP for [http://ctuning.org/workshop-smart10 SMART'10 workshop] co-located with HiPEAC'10 conference in Pisa, Italy is now available. [http://www.cs.rice.edu/~keith Prof. Keith Cooper] from Rice University kindly agreed to give a keynote talk. | ||
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*'''2009.September.1''' - The documentation of [http://ctuning.org/milepost-gcc MILEPOST GCC]/[http://ctuning.org/ici GCC ICI] extensions by Yuanjie and Liang during GSOC'09 program is now available: [http://ctuning.org/wiki/index.php/CTools:ICI:Projects:GSOC09:Function_cloning_and_program_instrumentation Function cloning and program instrumentation] and [http://ctuning.org/wiki/index.php/CTools:ICI:Projects:GSOC09:Fine_grain_tuning Fine grain program tuning]. We would like to fully test and sync these developments with mainline GCC within next month or two. | *'''2009.September.1''' - The documentation of [http://ctuning.org/milepost-gcc MILEPOST GCC]/[http://ctuning.org/ici GCC ICI] extensions by Yuanjie and Liang during GSOC'09 program is now available: [http://ctuning.org/wiki/index.php/CTools:ICI:Projects:GSOC09:Function_cloning_and_program_instrumentation Function cloning and program instrumentation] and [http://ctuning.org/wiki/index.php/CTools:ICI:Projects:GSOC09:Fine_grain_tuning 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 [http://unidapt.org UNIDAPT Group] started investigating the use of [http://ctuning.org cTuning]/[http:// | + | *'''2009.August.05''' - The colleagues from the [http://unidapt.org UNIDAPT Group] started investigating the use of [http://ctuning.org cTuning]/[http://cTuning.org/project-milepost MILEPOST] technology and the [http://ctuning.org/unidapt UNIDAPT framework] to predict good optimization and parallelization schemes for hybrid heterogeneous CPU/GPU-like architectures together with [http://www.caps-entreprise.com 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 ({{Ref|FT2009}}, {{Ref|LCWP2009}}, {{Ref|Fur2009}}, {{Ref|JGVP2009}}, {{Ref1|TWFP2009}}, {{Ref|FMTP2008}}, {{Ref|LFF2007}}, {{Ref|FCOP2005}}). They plan to add new optimization cases to the [http://ctuning.org/cdatabase Collective Optimization Database] in Autumn, 2009. |
*'''2009.July.27''' - The paper "Portable Compiler Optimization Across Embedded Programs and Microarchitectures using Machine Learning" ({{Ref|DJBP2009}}) has been accepted for the [http://www.microarch.org/micro42 42nd IEEE/ACM International Symposium on Microarchitecture (MICRO)]. The research has been led by the colleagues from the University of Edinburgh - congratulations! | *'''2009.July.27''' - The paper "Portable Compiler Optimization Across Embedded Programs and Microarchitectures using Machine Learning" ({{Ref|DJBP2009}}) has been accepted for the [http://www.microarch.org/micro42 42nd IEEE/ACM International Symposium on Microarchitecture (MICRO)]. The research has been led by the colleagues from the University of Edinburgh - congratulations! | ||
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** [[CTools:CBench|Collective Benchmark/MiDataSets v1.0]] - enabling realistic program optimization research and benchmarking using multiple open-source programs/datasets.<BR><BR>We also updated [[CDatabase|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.<BR><BR>We would like to thank [[Community:People|cTuning community]] for feedback, help and support! You are welcome to join this [[Community|community effort]] to automate program optimization and compiler/architecture design. | ** [[CTools:CBench|Collective Benchmark/MiDataSets v1.0]] - enabling realistic program optimization research and benchmarking using multiple open-source programs/datasets.<BR><BR>We also updated [[CDatabase|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.<BR><BR>We would like to thank [[Community:People|cTuning community]] for feedback, help and support! You are welcome to join this [[Community|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 [http://ctuning.org Collective Tuning Initiative and tools] and [http:// | + | * '''2009.April.27''' - We gave a talk at the University of Illinois at Urbana-Champaign about [http://ctuning.org Collective Tuning Initiative and tools] and [http://cTuning.org/project-milepost MILEPOST project] ("Collective Optimization, run-time adaptation and machine learning"). Presentation is available [http://unidapt.org/presentations/presentation_fursin_uiuc2009.pdf here]. We would like to thank all the UIUC colleagues for a very interesting and useful feedback.<br> |
* '''2009.April.23''' - First version of optimization predictor based on static program features is now available [http://ctuning.org/wiki/index.php/Special:CPredict on-line]. It is an on-going project, so please be patient. Comments are welcome! | * '''2009.April.23''' - First version of optimization predictor based on static program features is now available [http://ctuning.org/wiki/index.php/Special:CPredict on-line]. It is an on-going project, so please be patient. Comments are welcome! | ||
Revision as of 17:44, 13 May 2010
 |
Collective Optimization Database |
| Sharing and reusing optimization knowledge to help tuning computing systems collectively |
|
It may not always be visible to the IT users, but developing and optimizing current and emerging computing systems using available technology is too time consuming and costly. Collective Optimization Database stores useful optimization cases from the community to help optimize available computing systems (ranging from supercomputers to embedded systems) and enable development of the emerging intelligent self-tuning adaptive computing systems based on collective optimization, run-time adaptation, statistical and machine learning techniques.  Collective Optimization Database (cDatabase or COD) provides a common global repository with data analysis plugins to share, analyze and reference useful program/architecture optimization cases. It has been developed to help users optimize programs, libraries, kernels and the whole systems (compiler optimizations/architecture configurations to improve execution time, code size, architecture size, power consumption, etc). It is intended to simplify and automate the design and optimization of programs, compilers, run-time systems and architectures based on recent statistical and machine learning techniques (FT2009, FMTP2008, ABCP2006, MILEPOST, UNIDAPT). We also hope that it will also be useful for adaptive parallelization and scheduling for the emerging and future heterogeneous multi-core systems including current CPU/GPU and CELL architectures (LCWP2009). Finally, it is intended to improve the quality of academic research by avoiding costly duplicate experiments and providing replicable referable results. It can provide detailed performance analysis and comparison of different programs, datasets, compilers and architectures. It can be used to optimize programs on-the-fly when using cloud computing services. We currently keep information about architectures and their configurations, software environments, programs, datasets, compilers (such as GCC, Open64, ICC, PathScale and plan to add dynamic compilers such as LLVM, IBM Testerossa, etc), compiler flags for program and architecture optimizations, compiler ICI optimization passes, fine-grain program optimizations, execution time, code size, profiling statistics, program static and dynamic features (hardware counters), parallelization schemes, etc. cDatabase is an evolving project driven by the community and industry demands - you are welcome to join the project, extend the database and data analysis plugins, provide feedback and add your optimization data to help the community. If you want to use database directly, you can find more info about cDatabase API and web-services in cDatabase documentation. You can also communicate with cTuning community through our mailing lists. |
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| cDatabase friends: |
       
You are welcome to register your interest at this page. |