CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks

Sanmitra Banerjee; Mahdi Nikdast; Sudeep Pasricha; Krishnendu Chakrabarty

doi:10.1364/OFC.2022.M2G.3

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper M2G.3
•https://doi.org/10.1364/OFC.2022.M2G.3

CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks

Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, and Krishnendu Chakrabarty

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

From the session
Programmable and Intelligent Photonic Information Processors (M2G)

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S. Banerjee, M. Nikdast, S. Pasricha, and K. Chakrabarty, "CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper M2G.3.

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Abstract

We propose a novel hardware-aware magnitude pruning technique for coherent photonic neural networks. The proposed technique can prune 99.45% of network parameters and reduce the static power consumption by 98.23% with a negligible accuracy loss.

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