Title
Adaptive routing strategies for large scale spiking neural network hardware implementations
Abstract
This paper presents an adaptive Network-on-Chip (NoC) router, which forms part of an embedded mixed signal Spiking Neural Network (SNN) architecture called EMBRACE (Emulating Biologically-inspiRed ArChitectures in hardware). The novel adaptive NoC router provides the inter-neuron connectivity for EMBRACE, maintaining router communication and avoiding dropped router packets by adapting to router traffic congestion. The router also adapts to NoC traffic congestion or broken NoC connections (faults) by reconfiguring the routing topology to select an alternative route. Performance, power and area analysis of the proposed adaptive router using Synopsys Design Compiler (for TSMC 90nm CMOS technology) indicates a router throughput of 3.2Gbps on each of 5 available router channels, low router power consumption (1.716mW) and small router area (0.056mm2). Router adaptive behaviour in the presence of applied real-time traffic congestion has been demonstrated on a Virtex II Pro Xilinx FPGA for a 4×2 router array. Results indicate the feasibility of using the proposed adaptive NoC router within a scalable EMBRACE hardware SNN architecture.
Year
DOI
Venue
2011
10.1007/978-3-642-21735-7_10
ICANN (1)
Keywords
Field
DocType
router throughput,router array,available router channel,router communication,low router power consumption,router packet,small router area,proposed adaptive router,neural network hardware implementation,adaptive routing strategy,router adaptive behaviour,proposed adaptive noc router,large scale,spiking neural networks,adaptive routing,fault tolerant,network on chip,spiking neural network
Computer science,Field-programmable gate array,Network on a chip,Computer network,Core router,Default gateway,Virtex,Router,Metrics,One-armed router
Conference
Volume
ISSN
Citations 
6791
0302-9743
4
PageRank 
References 
Authors
0.44
7
6
Name
Order
Citations
PageRank
Snaider Carrillo1956.38
Jim Harkin232536.82
Liam Mcdaid327030.48
Sandeep Pande4885.92
Seamus Cawley51108.10
Fearghal Morgan633634.11