The 2016 Workshop on Approximate Computing Across the Stack

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活动简介

WAX is a workshop on approximate computing, a research direction that asks how computer systems can be made better—faster, more efficient, and less complex—by relaxing the requirement that they be exactly correct. Approximation arises from sources as diverse as sensors, machine learning algorithms, and big data applications. Approximate systems raise questions from across the system stack, from circuits to applications. WAX is a venue for discussion, debate, and brainstorming on all of these topics.

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Topics for WAX include: Hardware support for approximate computing Programming languages and compiler support for approximate computing Tools for writing, debugging, and testing approximate programs Modeling and understanding approximate computing opportunities and systems Applications amenable to approximation and domain-specific strategies Formal reasoning about programs with approximations Retrospectives on past approximate-computing work, including both reflections on your own past projects and reproduction of others’ results Position papers on approximate computing, potential, how it could fail, what we need to succeed, etc.