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Title: A Novel GPU-Enabled Simulator for Large Scale Spiking Neural Networks, Journal of Telecommunications and Information Technology, 2016, nr 2

Creator:

Szynkiewicz, Paweł

Date:

2016, nr 2

Resource Type:

artykuł

Description:

e understanding of the structural and dynamic complexity of neural networks is greatly facilitated by computer simulations. An ongoing challenge for simulating realistic models is, however, computational speed. In this paper a framework for modeling and parallel simulation of biological-inspired large scale spiking neural networks on high-performance graphics processors is described. This tool is implemented in the OpenCL programming technology. It enables simulation study with three models: Integrate-andfire, Hodgkin-Huxley and Izhikevich neuron model. The results of extensive simulations are provided to illustrate the operation and performance of the presented software framework. The particular attention is focused on the computational speed-up factor.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1916

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

parallel simulation GPU computing OpenCL programming technology spiking neural networks

Object collections:

Last modified:

Oct 19, 2016

In our library since:

Oct 19, 2016

Number of object content hits:

199

All available object's versions:

https://bc.itl.waw.pl/publication/2190

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Edition name Date
Szynkiewicz, Paweł, 2016, nr 2, A Novel GPU-Enabled Simulator for Large Scale Spiking Neural Networks, Journal of Telecommunications and Information Technology, 2016, nr 2 Oct 19, 2016

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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biblioteka@il-pib.pl

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