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CANCELLED: Approximate Circuit Design Using Information Theory

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Efficient hardware implementation is crucial for high-performance applications. For inherent error-resilient applications, it is possible to decrease the computing accuracy to achieve higher efficiency in area, performance, and energy. In recent years, a slew of automatic approximation techniques has been proposed; however, most of them require full knowledge of an exact circuit description. In this talk, we explore a method that uses Information Theory to synthesize efficient circuits of any arbitrary Boolean function, given only samples drawn from the function’s truth table.

This talk is part of the CAS Talks series.

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