Imperial College London
Professor Wayne Luk

ProfessorWayneLuk

Faculty of Engineering, Department of Computing

Professor of Computer Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8313w.luk Website

 
 
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Location

 

434Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Cheung:2012:10.1007/978-3-642-33269-2_15,
author = {Cheung, K and Schultz, SR and Luk, W},
doi = {10.1007/978-3-642-33269-2_15},
pages = {113--120},
title = {A large-scale spiking neural network accelerator for FPGA systems},
url = {http://dx.doi.org/10.1007/978-3-642-33269-2_15},
year = {2012}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Spiking neural networks (SNN) aim to mimic membrane potential dynamics of biological neurons. They have been used widely in neuromorphic applications and neuroscience modeling studies. We design a parallel SNN accelerator for producing large-scale cortical simulation targeting an off-the-shelf Field-Programmable Gate Array (FPGA)-based system. The accelerator parallelizes synaptic processing with run time proportional to the firing rate of the network. Using only one FPGA, this accelerator is estimated to support simulation of 64K neurons 2.5 times real-time, and achieves a spike delivery rate which is at least 1.4 times faster than a recent GPU accelerator with a benchmark toroidal network. © 2012 Springer-Verlag.
AU  - Cheung,K
AU  - Schultz,SR
AU  - Luk,W
DO  - 10.1007/978-3-642-33269-2_15
EP  - 120
PY  - 2012///
SN  - 0302-9743
SP  - 113
TI  - A large-scale spiking neural network accelerator for FPGA systems
UR  - http://dx.doi.org/10.1007/978-3-642-33269-2_15
ER  -
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