TY - GEN
T1 - Digital Electronic and Analog Photonic Acceleration for Point Cloud Classifiers
AU - Garofolo, James
AU - Shi, Taichu
AU - de Lima, Thomas Ferreira
AU - Prucnal, Paul
AU - Wu, Ben
N1 - Publisher Copyright:
© Optica Publishing Group 2023, © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - We propose a method for training photonic neuromorphic accelerators using only software, and demonstrate its potential in autonomous driving. The method is modular and drop-in compatible with existing PyTorch training pipelines.
AB - We propose a method for training photonic neuromorphic accelerators using only software, and demonstrate its potential in autonomous driving. The method is modular and drop-in compatible with existing PyTorch training pipelines.
UR - http://www.scopus.com/inward/record.url?scp=85191147163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191147163&partnerID=8YFLogxK
U2 - 10.1364/FIO.2023.JM7A.129
DO - 10.1364/FIO.2023.JM7A.129
M3 - Conference contribution
AN - SCOPUS:85191147163
T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
BT - Frontiers in Optics
PB - Optical Society of America
T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Y2 - 9 October 2023 through 12 October 2023
ER -