EngineeringComputer Science

F. Akopyan, J. Sawada, A. Cassidy, Rodrigo Alvarez-Icaza, J. Arthur, P. Merolla, Nabil Imam, Yutaka Y. Nakamura, Pallab Datta, Gi-Joon Nam, B. Taba, Michael P. Beakes, B. Brezzo, J. B. Kuang, R. Manohar, W. Risk, Bryan L. Jackson, D. Modha

2015.8.28IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

DOI: 10.1109/tcad.2015.2474396

tlooto Summary

This work developed TrueNorth, a 65 mW real-time neurosynaptic processor that implements a non-von Neumann, low-power, highly-parallel, scalable, and defect-tolerant architecture, and successfully demonstrated the use of TrueNorth-based systems in multiple applications, including visual object recognition.

Abstract

Abstract is not available.

Citation format

AKOPYAN, F., et al. Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2015, 34: 1537–1557.