Digital Electronic and Analog Photonic Acceleration for Point Cloud Classifiers

James Garofolo, Taichu Shi, Thomas Ferreira de Lima, Paul Prucnal, Ben Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171296
DOIs
StatePublished - 2023
Externally publishedYes
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: Oct 9 2023Oct 12 2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period10/9/2310/12/23

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • General Computer Science
  • Instrumentation

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