Contacts

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Main contacts:

• Grigori Fursin (Grigori.Fursin@cTuning.org or grigori@dividiti.com)
• Anton Lokhmotov (anton@dividiti.com)

We are developing an open-source technology to let the interdisciplinary community collaboratively solve complex computer engineering problems. We hope that our open-source Collective Knowledge framework will eventually enable truly open, collaborative, rigorous and reproducible computer systems' research and experimentation similar to physics, open-source software movement and Wikipedia.

We have many on-going long-term academic and industrial projects. If you are interested to join our effort, share your public workloads and tools for collaborative optimization and machine learning, get our help to optimize your software and hardware, sponsor our non-profit activities, provide feedback and comments, please feel free to contact us!

Also, do not hesitate to ask questions or participate in discussions via our open mailing lists:

• collective-knowledge Google group to discuss Collective Knowledge technology including open research, artifact sharing and experiment crowdsourcing;
• ctuning-discussions Google group to discuss how to enable faster, smaller, more power efficient and reliable self-tuning computer systems's (from mobile and IoT devices to data centers and Exascale super computers].

We are sometimes available via IRC channel #ctuning at freenode.net. To join our channel, please click here (you may just need to ping us in advance). We occasionally demonstrate there how to use CK (for example, to convert your ad-hoc research objects to reusable components with unified JSON API, to demo program/hardware autotuning, to crowdsource autotuning across mobile devices, to show how to use machine learning to build adaptive, self-tuning applications, etc.) or answer questions.

Thank you for your interest and looking forward to hearing from you!