Open AccessLow-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform
Author(s) -
Craig M. Vineyard,
Ryan Dellana,
James B. Aimone,
William Severa
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1761866
Subject(s) - neuromorphic engineering , computer science , computer architecture , deep learning , inference , convolutional neural network , network topology , artificial intelligence , throughput , perceptron , massively parallel , spiking neural network , artificial neural network , software , routing (electronic design automation) , embedded system , parallel computing , computer network , telecommunications , wireless , programming language
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