PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator

Author:

Li Shurui1,Yang Hangbo1,Wong Chee Wei1,Sorger Volker J.2,Gupta Puneet1

Affiliation:

1. University of California,Los Angeles

2. The George Washington University

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PCM Enabled Low-Power Photonic Accelerator for Inference and Training on Edge Devices;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

2. Enhancing and up-scaling of integrated photonic 4F convolution neural networks;Smart Photonic and Optoelectronic Integrated Circuits 2024;2024-03-08

3. Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

4. ReFOCUS: Reusing Light for Efficient Fourier Optics-Based Photonic Neural Network Accelerator;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

5. PhotoFourier: silicon photonics joint transfer correlator for convolution neural network;Optics and Photonics for Information Processing XVII;2023-10-04

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