CTuning foundation

Notable projects

• Collective Knowledge - open-source framework to share artifacts as customizable and reusable components with unified JSON API, implement sustainable and portable research workflows and crowdsource experiments across diverse platforms provided by volunteers.
• - Reproducible Quality-Efficient Systems Tournaments to co-design efficient software/hardware stack 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.
• - universal, customizable and multi-objective autotuner.
• - python CK API to detect, install and rebuild code and data dependencies for CK workflows.
• - validation of experimental results from published papers at the computer systems conferences.
• - a public index of reproducible papers with available and reusable research components.

  History

Funding