Design and testing of silicon photonic 4F system for convolutional neural networks

Nicola Peserico; Jiawei Meng; Hangbo Yang; Xiaoxuan Ma; Shurui Li; Hamed Dalir; Puneet Gupta; Chee Wei Wong; Volker J. Sorger

doi:10.1117/12.2650228

17 March 2023 Design and testing of silicon photonic 4F system for convolutional neural networks

Nicola Peserico, Jiawei Meng, Hangbo Yang, Xiaoxuan Ma, Shurui Li, Hamed Dalir, Puneet Gupta, Chee Wei Wong, Volker J. Sorger

Author Affiliations +

Proceedings Volume 12424, Integrated Optics: Devices, Materials, and Technologies XXVII; 124240L (2023) https://doi.org/10.1117/12.2650228
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Convolution Neural Networks have raised as the key technology for most of the novel applications that appear in the last years. Convolution, the main operation that CNN has to perform, has a high computational cost, raising power consumption and latency, especially for large matrices. Optics and photonics can perform the same operation at virtual O(1) cost and speed-of-light latency, thanks to the properties of Fourier optics. In this paper, we will show the implementation of the main components and the modeling for non-idealities that might occur.

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Nicola Peserico, Jiawei Meng, Hangbo Yang, Xiaoxuan Ma, Shurui Li, Hamed Dalir, Puneet Gupta, Chee Wei Wong, and Volker J. Sorger "Design and testing of silicon photonic 4F system for convolutional neural networks", Proc. SPIE 12424, Integrated Optics: Devices, Materials, and Technologies XXVII, 124240L (17 March 2023); https://doi.org/10.1117/12.2650228

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