Energy-Efficient Multipath Ring Network for Heterogeneous Clustered Neuronal Arrays

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Energy-Efficient Multipath Ring Network for Heterogeneous Clustered Neuronal Arrays

Conference Paper (2018)

Author(s)

Andrei Ardelean (Student TU Delft)

Amir Zjajo (TU Delft - Signal Processing Systems)

Sumeet Kumar (TU Delft - Signal Processing Systems)

Rene van Leuken (TU Delft - Signal Processing Systems)

DOI related publication

https://doi.org/10.1109/BHI.2018.8333401 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:f2afdd73-3051-4a6a-be1d-4698bdcc1e07

More Info

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Publication Year

2018

Language

English

Pages (from-to)

190-193

ISBN (print)

978-1-5386-2406-7

ISBN (electronic)

978-1-5386-2405-0

Event

Downloads counter

179

Abstract

Simulating large spiking neural networks with a high level of realism in a FPGA requires efficient network architectures that satisfy both the resource and interconnect constraints, as well as the changes in traffic patterns due to learning processes. In this paper, we propose a dataflow architecture based on a multipath ring topology that offers traffic shaping capabilities, and high energy-efficiency for the neuron-to-neuron communications.