Using parallel GPU architecture for simulation of planar I/F networks

Authors:
Jan-Phillip Tiesel;Anthony S. Maida
Affiliations:
Center for Advanced Computer Studies, University of Louisiana at Lafayette;Center for Advanced Computer Studies, University of Louisiana at Lafayette
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 4
Cited 0

Real-Time Rendering

Real-Time Rendering
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Computer Organization and Design: The Hardware/Software Interface
Spiking neurons on GPUs

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Simple model of spiking neurons

IEEE Transactions on Neural Networks

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Abstract

Our work describes the simulation of a planar network of spiking IfF neurons on graphics processing hardware. The described approach adds to the fast-growing field of general-purpose computation on GPUs (GPGPU). We provide an in-depth explanation of the steps involved in implementing the network using programmable shading hardware. We replicated simulation results by Hopfield et al. [1] and Maida et al. [2] and give qualitative and quantitative measures of our implementation.