Energy-Efficient and High-Throughput Nanophotonic Neuromorphic Computing

被引：0

作者：

Nazirzadeh, Mohammadamin ^{[1
]}

Shamsabardeh, Mohammadsadegh ^{[1
]}

Ben Yoo, S. J. ^{[1
]}

机构：

[1] Univ Calif Davis, Dept Elect & Comp Engn, One Shields Ave, Davis, CA 95616 USA

来源：

2018 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2018年

关键词：

COMMUNICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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

引用

页数：2

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