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.

[1] 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.

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.

[13] 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.

[14] Since 2024, cTuning Foundation supports the MLCommons Croissant Metadata Format to help standardize ML Datasets.