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cs.DC2019★ 64 cited
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks
Zachariah Carmichael, Hamed F. Langroudi, Char Khazanov +3
Deep neural networks (DNNs) have been demonstrated as effective prognostic models across various domains, e.g. natural language processing, computer vision, and genomics. However,…
cs.DC2019
Deep Positron: A Deep Neural Network Using the Posit Number System
Zachariah Carmichael, Hamed F. Langroudi, Char Khazanov +3
The recent surge of interest in Deep Neural Networks (DNNs) has led to increasingly complex networks that tax computational and memory resources. Many DNNs presently use 16-bit or…