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Conferences > CLEO_AT > 2018 > ATh3Q > ATh3Q.2

Energy-Efficient and High-Throughput Nanophotonic Neuromorphic Computing

Mohammadamin Nazirzadeh, Mohammadsadegh Shamsabardeh, and S. J. Ben Yoo

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Abstract

High-efficient bio-inspired nanophotonic neuromorphic computing is discussed. Using reconfigurable photonic interconnects combined by optical 2D and 3D integrated circuits, more than 500× improvement in energy consumption is predicted compared to the state-of-the-art implementations of SNNs.

© 2018 The Author(s)

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