Photonic-chip Fourier convolution processor

Nicola Peserico; Behrouz Movahhed Nouri; Hamed Dalir; Volker J. Sorger

doi:10.1117/12.2647183

17 March 2023 Photonic-chip Fourier convolution processor

Nicola Peserico, Behrouz Movahhed Nouri, Hamed Dalir, Volker J. Sorger

Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380F (2023) https://doi.org/10.1117/12.2647183
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Here we introduce a Fourier-Theorem based convolution processors in silicon photonics. The systems leverages an algorithmic homomorphism that utilizes the Fourier transformation provided by a lens along with high-speed optoelectronic signal modulation and read-out. We demonstrate convolution filtering for image processing, convolutional neural network classification tasks. An on-chip lens performs the convolution operation, whereas electro-optic modulators perform the weighting in the Fourier domain at high-speed, followed by detection at a detector array after a 2nd Fourier lens, all on a PIC. Using this accelerator, we demonstrate image filtering and machine learning inference tasks. Given the high SWAP, these accelerators are useful for network-edge AI for the coming Industry-4.0 era.

Conference Presentation

Citation Download Citation

Nicola Peserico, Behrouz Movahhed Nouri, Hamed Dalir, and Volker J. Sorger "Photonic-chip Fourier convolution processor", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380F (17 March 2023); https://doi.org/10.1117/12.2647183

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