A TeraMAC Neuromorphic Photonic Processor

Mitchell A. Nahmias, Hsuan Tung Peng, Thomas Ferreira De Lima, Chaoran Huang, Alexander N. Tait, Bhavin J. Shastri, Paul Richard Prucnal

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

4 Scopus citations

Abstract

We show that an integrated laser neuron can exhibit extraordinary low latency (<1ns) and speed (∼1 × 1012 MACs/s per device) compared to state-of-the-art processors in digital electronics. We experimentally demonstrate positive (excitatory) and negative (inhibitory) inputs with 8× wavelength channels, and efficiency (<1pJ/MAC) during closed-loop operation.

Original languageEnglish (US)
Title of host publication31st Annual Conference of the IEEE Photonics Society, IPC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538653586
DOIs
StatePublished - Nov 6 2018
Event31st Annual Conference of the IEEE Photonics Society, IPC 2018 - Reston, United States
Duration: Sep 30 2018Oct 4 2018

Other

Other31st Annual Conference of the IEEE Photonics Society, IPC 2018
CountryUnited States
CityReston
Period9/30/1810/4/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Nahmias, M. A., Peng, H. T., De Lima, T. F., Huang, C., Tait, A. N., Shastri, B. J., & Prucnal, P. R. (2018). A TeraMAC Neuromorphic Photonic Processor. In 31st Annual Conference of the IEEE Photonics Society, IPC 2018 [8527089] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPCon.2018.8527089