An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Applied Sciences

Roger Dangel¹  Folkert Horst¹  Bert J. Offrein¹  Elger A. Vlieg¹  Lucas Talandier² 

[1] IBM Research—Zurich, 8803 Rüschlikon, Switzerland;IFISC, 07122 Palma de Mallorca, Spain;

关键词: optical computing;    in-memory computing;    optical neural networks;    integrated photonics;    holographic memory;   

DOI  :  10.3390/app12094226

来源: DOAJ

【 摘 要 】

AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size. We present a photonic photorefractive crossbar array for neural network training and inference on local analog memory. We discuss the concept and present results based on the first prototype hardware.

【 授权许可】

Unknown