光子学
卷积(计算机科学)
核(代数)
卷积神经网络
计算机科学
MNIST数据库
激光器
人工智能
波长
人工神经网络
光学
材料科学
光电子学
物理
数学
组合数学
作者
Yuxin Ma,Kaifei Tang,Jun Lü,Zhenxing Sun,Yao Lu,Yujiang Wang,zhenzhen Xu,Mi Li,Xin Wang,Rulei Xiao,Xin Yu,Jiahui Liu,Xiang Ji,Wei Jiang,Yuechun Shi,Xiangfei Chen
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2024-04-04
卷期号:49 (10): 2629-2629
被引量:1
摘要
We propose and experimentally demonstrate a compact and efficient photonic convolution accelerator based on a hybrid integrated multi-wavelength DFB laser array by photonic wire bonding. The photonic convolution accelerator operates at 60.12 GOPS for one 3 × 3 kernel with a convolution window vertical sliding stride of 1 and generates 500 images of real-time image classification. Furthermore, real-time image classification on the MNIST database of handwritten digits with a prediction accuracy of 93.86% is achieved. This work provides a novel, to the best of our knowledge, compact hybrid integration platform to realize the optical convolutional neural networks.
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