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I develop a novel methodology and open-source technology to collaboratively optimize deep learning powered by CK across the whole SW/HW stack including DNN engines, libraries, models and data sets across diverse devices from IoT to supercomputers!
Dear Visitor,

Here you can find notes and links about my long-term vision and activities to enable truly open, collaborative and reproducible research, and to develop performance- and cost- efficient self-tuning computing systems via knowledge sharing, statistical analysis, predictive analytics, crowd-benchmarking, bio-inspired techniques, machine learning based autotuning and run-time adaptation.

You can also learn about some of my hobbies (traveling, sport, photography, IT) and social activities.

Enjoy,
Grigori Fursin


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