Monday 25 September 2017
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12 days ago

Community-Driven and Knowledge-Guided Optimization of AI Applications Across the Whole SW/HW Stack


or how to adapt to a Cambrian explosion in AI / SW / HW with cKnowledge.org and open co-design competitions: * http://cKnowledge.org/ai * http://cKnowledge.org/repo * http://tinyurl.com/zlbxvmw Co-designing the whole AI/SW/HW stack in terms of speed, accuracy, energy consumption, size, costs and other metrics has become extremely complex, long and costly. With no rigorous methodology for analyzing performance and accumulating optimisation knowledge, we are simply destined to drown in the ever growing number of design choices, system features and conflicting optimisation goals. We present our novel community-driven approach to solve the above problems. Originating from natural sciences, this approach is embodied in Collective Knowledge (CK), our open-source cross-platform workflow framework and repository for automatic, collaborative and reproducible experimentation. CK helps organize, unify and share representative workloads, data sets, AI frameworks, libraries, compilers, scripts, models and

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