Silicon Photonic Neural Network Accelerators: Opportunities and Challenges

Mahdi Nikdast; Sudeep Pasricha; Krishnendu Chakrabarty

doi:10.1364/CLEO_AT.2023.AM2Q.2

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper AM2Q.2
•https://doi.org/10.1364/CLEO_AT.2023.AM2Q.2

Silicon Photonic Neural Network Accelerators: Opportunities and Challenges

Mahdi Nikdast, Sudeep Pasricha, and Krishnendu Chakrabarty

CLEO: Applications and Technology 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

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A&T Topical Review on Silicon Photonics for Optical I/O, Artificial Intelligence, and High Performance Computing II (AM2Q)

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M. Nikdast, S. Pasricha, and K. Chakrabarty, "Silicon Photonic Neural Network Accelerators: Opportunities and Challenges," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper AM2Q.2.

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Abstract

Silicon photonic neural network accelerators (SPNNAs) offer chip-scale and light-speed computation and communication to boost AI inferencing and training performance. In this invited paper, we discuss some of the benefits and challenges of implementing SPNNAs.

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