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Optimized Simulation Framework for Spiking Neural Networks using GPU'sMIRSU, R. , MICUT, S. , CALEANU, C. , MIRSU, D. B.
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artificial intelligence, biological neural networks, GPU computing, parallel processing, spiking neural networks
neural(15), spiking(12), networks(10), neurons(7), model(7), tiponut(4), network(4), mirsu(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02011
Web of Science Accession Number: 000305608000011
SCOPUS ID: 84865306303
This paper presents a hardware accelerated model of a spiking neural network implemented in CUDA C. It does a short description of the mathematical model for the neural network and presents the implementation on the GPU. Additionally, it presents three methods of further accelerating the model by eliminating excess kernel launch overhead time, efficiently using shared memory and overlapping computation with data transfer. Finally, the implementation is benchmarked against an existing C++ equivalent model.
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