Presentation + Paper
11 March 2024 Energy-efficient integrated photonics for next-generation computing
Bassem Tossoun, Di Liang, Xian Xiao, Aashu Jha, George Giamougiannis, Stanley Cheung, Yanir London, Yuan Yuan, Yiwei Peng, Antoine Descos, Thomas Van Vaerenbergh, Geza Kurczveil, Marco Fiorentino, Raymond G. Beausoleil
Author Affiliations +
Proceedings Volume 12892, Optical Interconnects XXIV; 128920F (2024) https://doi.org/10.1117/12.3008172
Event: SPIE OPTO, 2024, San Francisco, California, United States
Abstract
Integrated photonic computing promises revolutionary strides in processing power, energy efficiency, and speed, propelling us into an era of unprecedented computational capabilities. By harnessing the innate properties of light, such as high-speed propagation, inherent parallel processing capabilities, and the ability to carry vast amounts of information, photonic computing transcends the limitations of traditional electronic architectures. Furthermore, silicon photonic neural networks hold promise to transform artificial intelligence by enabling faster training and inference with significantly reduced power consumption. This potential leap in efficiency could revolutionize data centers, high-performance computing, and edge computing, minimizing environmental impact while expanding the boundaries of computational possibilities. The latest research on our silicon photonic platform for next-generation optical compute accelerators will be presented and discussed.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Bassem Tossoun, Di Liang, Xian Xiao, Aashu Jha, George Giamougiannis, Stanley Cheung, Yanir London, Yuan Yuan, Yiwei Peng, Antoine Descos, Thomas Van Vaerenbergh, Geza Kurczveil, Marco Fiorentino, and Raymond G. Beausoleil "Energy-efficient integrated photonics for next-generation computing", Proc. SPIE 12892, Optical Interconnects XXIV, 128920F (11 March 2024); https://doi.org/10.1117/12.3008172
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KEYWORDS
Content addressable memory

Optical computing

Artificial neural networks

Microrings

Silicon photonics

Wavelength division multiplexing

Education and training

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