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| | + | '''''NEWS: In 2015, we converted cBench to [http://github.com/ctuning/ck/wiki Collective Knowledge Format] and moved it to GITHUB: [http://github.com/ctuning/ctuning-programs benchmarks], [http://github.com/ctuning/ctuning-datasets-min data sets]!''''' |
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| | {{CTitle|http://ctuning.org/wiki/images/logo_cbench.gif|Collective Benchmark|Enabling realistic benchmarking and optimization}} | | {{CTitle|http://ctuning.org/wiki/images/logo_cbench.gif|Collective Benchmark|Enabling realistic benchmarking and optimization}} |
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| | {{CMenu:CTools|}} | | {{CMenu:CTools|}} |
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| | Collective Benchmark (cBench) is a collection of open-source sequential programs (working to add parallel applications) with multiple datasets (former MiDataSets) assembled by the community to enable realistic benchmarking and research on program and architecture optimization. The source code of individual programs is simplified to ease portability. All the benchmarks now include scripts to be used with [[CTools:CCC|Continuous Collective Compilation Framework]] to perform automatic optimizations (iterative compilation) using GCC, LLVM, GCC4CIL, Open64, PathScale, Intel and other compilers and a wide range of architectures. This collection of programs can later be used to create specialized benchmarks. | | Collective Benchmark (cBench) is a collection of open-source sequential programs (working to add parallel applications) with multiple datasets (former MiDataSets) assembled by the community to enable realistic benchmarking and research on program and architecture optimization. The source code of individual programs is simplified to ease portability. All the benchmarks now include scripts to be used with [[CTools:CCC|Continuous Collective Compilation Framework]] to perform automatic optimizations (iterative compilation) using GCC, LLVM, GCC4CIL, Open64, PathScale, Intel and other compilers and a wide range of architectures. This collection of programs can later be used to create specialized benchmarks. |
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| | **[[CTools:CBench:Format|Benchmark format]] | | **[[CTools:CBench:Format|Benchmark format]] |
| | **[[CTools:CBench:Analysis|Individual program or dataset analysis]] | | **[[CTools:CBench:Analysis|Individual program or dataset analysis]] |
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| - | * '''[[CTools:CBench:Feedback|User suggestions and feedback]]'''
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| | * '''[[CTools:CBench:Projects|Projects to extend cBench (development plan and suggestions)]]''' - ''> 5 projects'' | | * '''[[CTools:CBench:Projects|Projects to extend cBench (development plan and suggestions)]]''' - ''> 5 projects'' |
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| | <div align="center">http://ctuning.org/wiki/images/figure_datasets.jpg</div> | | <div align="center">http://ctuning.org/wiki/images/figure_datasets.jpg</div> |
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| - | *'''2009.October.2''' - We successfully passed the final [http://www.milepost.eu 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 ;) !..
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| - | *'''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.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!
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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.
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| - | *'''2009.August.05''' - The colleagues from the [http://unidapt.org UNIDAPT Group] started investigating the use of [http://ctuning.org cTuning]/[http://www.milepost.eu 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.
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| - | *'''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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| - | *'''2009.July.22''' - cTuning-related CFP: [http://ctuning.org/workshop-smart10 SMART'10] and [http://ctuning.org/workshop-grow10 GROW'10] workshops will be co-located with [http://www.hipeac.net/conference 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.
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| - | *'''2009.July.15''' - New optimization cases to improve execution time, code size and compilation time are now available in [http://ctuning.org/cdatabase Collective Optimization Database] for [http://ctuning.org/cbench cBench], [http://www.eembc.org EEMBC], [http://www.spec.org SPEC] and other applications with multiple datasets using [http://ctuning.org/milepost-gcc MILEPOST GCC 4.4.0] and 2 architectures ([http://www.intel.com Intel] and [http://www.amd.com AMD]) from [http://www.grid5000.fr GRID5000] (infrastructure for large scale parallel and distributed computing research).
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| - | *'''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 ({{Ref|Fur2009}}).
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| - | *'''2009.June.29''' - Stable MILEPOST GCC 4.4.0 has been [[CTools:MilepostGCC|released]]. Follow further community developments at [http://ctuning.org/ici cTuning GCC ICI page] and [http://groups.google.com/group/ctuning-discussions cTuning development mailing list].<BR>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.
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| - | *'''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 [http://unidapt.org/index.php/Dissemination#Fur2009 here].
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| - | *'''2009.June.10''' - Extended version of the "Collective Optimization" paper ({{Ref|FT2009|}}) describing collective tuning concept has been accepted for ACM Transactions on Architecture and Code Optimization (TACO).
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| - | * '''2009.June.01''' - After nearly 1 year of developments we released/updated all our open-source collaborative [[CTools|R&D tools]]:
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| - | ** fully redesigned and documented [[CTools:ICI|Interactive Compilation Interface]] v2.0 for GCC 4.4.0 synchronized with the official plugin GCC branch - transforming compilers into plugin-enabled research toolsets
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| - | ** [[cTools:MilepostGCC|MILEPOST GCC 4.4.0]] pre-release version at SVN - automating program optimization and compiler optimization heuristic tuning using machine learning
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| - | ** [[CTools:CCC|Continuous Collective Compilation Framework v2.0]] - enabling automatic collaborative program optimization based on statistical and machine learning techniques
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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.
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| - | * '''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://www.milepost.eu 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>
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| - | * '''2009.April.21''' - [http://socghop.appspot.com/org/home/google/gsoc2009/gcc 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|join cTuning community]] and follow or participate in the developments using our dedicated [[Community|mailing lists]].
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| - | * '''2009.March.07''' - cBench v1.0 (MiDataSets v1.4) is in the final verification stage before the release.
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| - | * '''2009.March.02''' - [http://code.google.com/soc/ Google Summer of Code'2009] will be accepting development applications soon - you are welcome to check [[CTools:CBench:Projects|cBench extension projects]] and [[CTools:CBench:Feedback|cBench feedback/suggestion]] pages if you would like to help us to extend our collaborative tools within this program!<br><br>{{Link2}}
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| | ---- | | ---- |
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| | ''cBench is an open collaborative community-driven project. You are welcome to [[Join|join]] us and participate in discussions, developments or provide feedback and suggestions to extend cBench or add new benchmarks/datasets.'' | | ''cBench is an open collaborative community-driven project. You are welcome to [[Join|join]] us and participate in discussions, developments or provide feedback and suggestions to extend cBench or add new benchmarks/datasets.'' |
Collective Benchmark (cBench) is a collection of open-source sequential programs (working to add parallel applications) with multiple datasets (former MiDataSets) assembled by the community to enable realistic benchmarking and research on program and architecture optimization. The source code of individual programs is simplified to ease portability. All the benchmarks now include scripts to be used with Continuous Collective Compilation Framework to perform automatic optimizations (iterative compilation) using GCC, LLVM, GCC4CIL, Open64, PathScale, Intel and other compilers and a wide range of architectures. This collection of programs can later be used to create specialized benchmarks.
cBench is an evolving project driven by the community demands - you are welcome to join the project, extend or add benchmarks and datasets and provide performance analysis, leave feedback and add your optimization data to the Collective Optimization Database to help the community optimize their programs. You can also communicate with cTuning community through our mailing lists.
