We present a silicon photonic filter-based a nalog e ngine f or computing dot products in convolutional neural networks. It shows a greater energy efficiency compared to electronic solutions with a limited bit resolution degradation of input signals.
Silicon photonic filter-based dot product engine for convolutional neural networks
N Andriolli
2021
Abstract
We present a silicon photonic filter-based a nalog e ngine f or computing dot products in convolutional neural networks. It shows a greater energy efficiency compared to electronic solutions with a limited bit resolution degradation of input signals.File in questo prodotto:
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