IEEE - Institute of Electrical and Electronics Engineers, Inc. - Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms

Author(s): Gianvito Urgese ; Francesco Barchi ; Enrico Macii ; Andrea Acquaviva
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Online): 2168-6750
DOI: 10.1109/TETC.2016.2579605
Regular:

In this paper we present a new Partitioning and Placement methodology able to maps Spiking Neural Network on parallel neuromorphic platforms. This methodology improves scalability/reliabilView More

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