ANP - Advanced Nanophotonics Platform
  • S. Sun (US) George Washington University

WE3.4 - SILICON PHOTONIC ENABLED RESIDUE NUMBER SYSTEM ADDER AND MULTIPLIER

Presentation Type
Contributed Submission
Authors
  • J. Peng (US) George Washington University
  • S. Sun (US) George Washington University
  • V. Narayana (US) Intel
  • T. El-Ghazawi (US) George Washington University
  • V. Sorger (US) The George Washington University
Date
08/21/2019
Time
01:00 PM - 03:00 PM
Room
Emerald E
Duration
15 Minutes
Lecture Time
02:30 PM - 02:45 PM

Abstract

Abstract

Here we show a nanophotonic RNS arithmetic implementation by spatially shifting the input waveguides relative to a crossbar routers’ outputs, where the moduli are represented by the number of waveguides. This highly parallelizable in-the-network kernel processes information at 10’s of ps suitable for real-time computing.

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