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We are developing a common experimental platform for computer systems research (Collective Knowledge) and use it to collaboratively co-design and optimize the whole SW/HW stack of deep learning and AI in terms of speed, accuracy, energy, size and cost across realistic inputs and diverse hardware from IoT to Exascale 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.

Grigori Fursin

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