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ICES
2010
Springer

An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations

8 years 3 months ago
An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an efficient, robust computing platform. However the use of the NoC as an interconnection fabric for large scale SNN (i.e. beyond a million neurons) demands a good trade-off between scalability, throughput, neuron/synapse ratio and power consumption. In this paper an adaptive NoC router architecture is proposed as a way to minimise network delay across varied traffic loads. The novelty of the proposed adaptive NoC router is twofold; firstly, its adaptive scheduler combines the fairness policy of a round-robin arbiter and a first-come first-served priority scheme to improve SNN spike packet throughput; secondly, its adaptive routing scheme (verified using simulated SNN traffic) allows the selection of different NoC router output ports to avoid traffic congestion. The paper presents the performance and synthesis res...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICES
Authors Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Fearghal Morgan
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