The cTuning Foundation is a global non-profit organization developing a common methodology and open-source tools to support sustainable, collaborative and reproducible research in Computer science and organize and automate artifact evaluation and reproducibility inititiaves at machine learning and systems conferences and journals.
4-776: Grigori Fursin developed cTuning.org at the end of the Milepost project in 2009 to continue his research on machine learning based program and architecture optimization as a community effort. In 2014, cTuning Foundation was registered in France as a non-profit research and development organization. It received funding from the EU TETRACOM project and ARM to develop the Collective Knowledge Framework and prepare reproducible research methodology for ACM and IEEE conferences. In 2020, cTuning Foundation joined MLCommons as
8-797: A founding member to accelerate innovation in ML. In 2023, cTuning Foundation joined the new initiative by the Autonomous Vehicle Computing Consortium and MLCommons to develop an automotive industry standard machine learning benchmark suite. Since 2024, cTuning Foundation supports the MLCommons Croissant Metadata Format to help standardize ML Datasets. Current funding comes from the European Union research and development funding programme , Microsoft , and other organizations. This organization-related article
12-529: Is a stub . You can help Misplaced Pages by expanding it . Grigori Fursin Grigori Fursin is a British computer scientist, president of the non-profit CTuning foundation , founding member of MLCommons , and co-chair of the MLCommons Task Force on Automation and Reproducibility. His research group created open-source machine learning based self-optimizing compiler, MILEPOST GCC , considered to be
16-503: The first in the world. At the end of the MILEPOST project he established cTuning foundation to crowdsource program optimisation and machine learning across diverse devices provided by volunteers. His foundation also developed Collective Knowledge Framework and Collective Mind workflow automation framework to support open research . Since 2015 Fursin leads Artifact Evaluation at several ACM and IEEE computer systems conferences. He
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