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Join the international consortium to develop a common experimental framework for collaborative and reproducible experimentation including benchmarking, optimization and software/hardware co-design.

Collective Knowledge framework (CK) is a decentralized, small, cross-platform and open-source Python framework developed in collaboration with academic and industrial partners to quickly implement, organize and exchange artifacts and research workflows as portable, customizable and reusable components with a simple JSON API and JSON meta-information. CK is intended to accelerate open research by helping the community to quickly reproduce shared results while reusing, customizing and extending shared workflows to run them on diverse platforms with different models, data sets, libraries, compilers and tools. See further details including CK introduction, resources, minimal installation, getting started guides and tutorials at the CK GitHub development website!

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