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.
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.