@inproceedings{b8421244daac47359db13a3f33721ada,
title = "Matrix Multiplication Unit Scalability Investigation for InP SOA-based Photonic Deep Neural Network",
abstract = "We investigate the scalability of a SOA-based photonic DNN with WDM inputs. For a 3-layer DNN, a quasi-linear dependence between the prediction accuracy and errors/layer is found for a NRMSE <0.09. Optimized passive losses can enable synaptic function at half of the power consumption.",
keywords = "Artificial neural networks, Image classification, Photonic integrated circuits, Semiconductor optical amplifiers, Simulation",
author = "B. Shi and N. Calabretta and R. Stabile",
year = "2020",
month = jul,
doi = "10.1109/SUM48678.2020.9161056",
language = "English",
series = "2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 - Proceedings",
address = "United States",
note = "2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 ; Conference date: 13-07-2020 Through 15-07-2020",
}