Parallel Neural Network Training with OpenCL (CROSBI ID 587501)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Krpan, Nenad ; Jakobović, Domagoj
engleski
Parallel Neural Network Training with OpenCL
This paper describes the parallelization of neural network training algorithms on heterogeneous architectures with graphical processing units (GPU). The algorithms used for training are particle swarm optimization and backpropagation. Parallel versions of both methods are presented and speedup results are given as compared to the sequential version. The efficiency of parallel training is investigated in regards to various neural network and training parameters.
neural network ; OpenCL
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Podaci o prilogu
1234-1238.
2012.
objavljeno
Podaci o matičnoj publikaciji
2012 Proceedings of the 35th International Convention MIPRO
Opatija: Institute of Electrical and Electronics Engineers (IEEE)
978-953-233-069-4
Podaci o skupu
MIPRO 2012
predavanje
21.05.2012-25.05.2012
Opatija, Hrvatska