ReFOCUS: Reusing Light for Efficient Fourier Optics-Based Photonic Neural Network Accelerator-Reference-Cited by-同舟云学术

ReFOCUS: Reusing Light for Efficient Fourier Optics-Based Photonic Neural Network Accelerator

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:56th Annual IEEE/ACM International Symposium on Microarchitecture
language:
Short-container-title:

Author:

Li Shurui¹^ORCID,Yang Hangbo¹^ORCID,Wong Chee Wei²^ORCID,Sorger Volker J.³^ORCID,Gupta Puneet¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, UCLA, United States

2. Department of Electrical and Computer Engineering, UCLA, USA

3. Florida Semiconductor Institute, University of Florida, USA and Department of Electrical and Computer Engineering, University of Florida, USA

Funder

Office of Naval Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3623798

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3. 2023. NVIDIA H100 Tensor Core GPU. https://www.nvidia.com/en-us/data-center/h100 2023. NVIDIA H100 Tensor Core GPU. https://www.nvidia.com/en-us/data-center/h100

4. M Zahirul Alam , Israel De Leon , and Robert W Boyd . 2016. Large optical nonlinearity of indium tin oxide in its epsilon-near-zero region. Science 352, 6287 ( 2016 ), 795–797. M Zahirul Alam, Israel De Leon, and Robert W Boyd. 2016. Large optical nonlinearity of indium tin oxide in its epsilon-near-zero region. Science 352, 6287 (2016), 795–797.

5. Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

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