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Our educational initiatives

We have initiated new collaborative, systematic and reproducible research methodology and open publication model where experimental results (data, tools, models) are continuously shared and validated by the community. We have prepared several post-graduate computer systems' courses and regularly give guest lectures based on our open-source auto-tuning, crowd-tuning, machine learning and run-time adaptation technology combined with our public repository of optimization knowledge.

You can find more info about these educational activities organized by Dr. Grigori Fursin here.

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Grigori Fursin started cTuning project in 2006 to share artifacts and predictive models with the community,
opened cTuning.org in 2008, and established non-profit cTuning foundation in 2014 to support Collective Knowledge initiative.