Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks

25 Mar 2019Zachariah CarmichaelHamed F. LangroudiChar KhazanovJeffrey LillieJohn L. GustafsonDhireesha Kudithipudi

Deep neural networks (DNNs) have been demonstrated as effective prognostic models across various domains, e.g. natural language processing, computer vision, and genomics. However, modern-day DNNs demand high compute and memory storage for executing any reasonably complex task... (read more)

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