Graphene-based Photonic-Electronic Multiply-Accumulate Neurons

被引：0
|
作者：
De Marinis, L. [1 ]
Kincaid, P. S. [1 ]
Contestabile, G. [1 ]
Gupta, S. [2 ]
Andriolli, N. [3 ]
机构：
[1] Scuola Superiore St Anna, Pisa, Italy
[2] Indian Inst Technol Patna, Bihta, India
[3] CNR, IEIIT, Pisa, Italy
来源：
2023 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING AND COMPUTING, PSC | 2023年
关键词：
Neuromorphic photonics; graphene; electro-absorption modulators;
D O I：
10.1109/PSC57974.2023.10297269
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：
We assess the potential of graphene optical modulators for high-speed neuromorphic computing. We numerically validate the performance in terms of analog resolution of a photonic-electronic neuron based on high-speed graphene electro-absorption modulators. The neuromorphic processor delivers up to 280 GMAC/s with a resolution spanning from 2.7 to 5.4 equivalent bits for different operating frequencies.
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页数：3
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