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CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks
Published 11 Dec 2021 in cs.ET and cs.LG | (2112.06098v1)
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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