Presentation
17 March 2023 Photonic-chip Fourier convolution processor
Author Affiliations +
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
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Advertisement
Advertisement
KEYWORDS
Convolution

Image filtering

Electrooptic modulators

Image classification

Image processing

Machine learning

Modulation

Back to Top