CTuning foundation


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 at machine learning and systems conferences and journals.
WWW Official Site

Notable projects

  • Collective Mind - a with a collection of portable, extensible and ready-to-use automation recipes with a human-friendly interface to help the community compose, benchmark and optimize complex AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware.
  • Collective Knowledge - an open-source framework to organize software projects as a database of reusable components with common automation actions and extensible meta descriptions based on FAIR principles, implement portable research workflows, and crowdsource experiments across diverse platforms provided by volunteers.
  • - Reproducible Quality-Efficient Systems Tournaments to co-design efficient software/hardware stacks for deep learning algorithms in terms of speed, accuracy and costs across diverse platforms, environments, libraries, models and data sets
  • MILEPOST GCC - open-source technology to build machine learning based self-optimizing compilers.
  • - validation of experimental results from published papers at the computer systems and machine learning conferences.
  • - a public index of reproducible papers with portable workflows and reusable research components.

History

Grigori Fursin developed 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
and ARM to develop the Collective Knowledge Framework
and prepare for ACM and IEEE conferences.
In 2020, cTuning Foundation joined MLCommons as a founding member to accelerate innovation in ML.
In 2023, cTuning Foundation joined the new initiative by the 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.

Funding

Current funding comes from the European Union research and development funding programme, Microsoft, and other organizations.