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CuParcone A High-Performance Evolvable Neural Network Model

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3 Author(s)
Xiaoxi Chen ; Xiamen Univ. Sci. & Technol., Xiamen, China ; Lin Gao ; de Garis, H.

An algorithm for evolving recurrent neural network via the genetic algorithm was implemented on the CUDA, resulting in a system called CuParcone (CUDA based Partially Connected Neural Evolutionary). Run on a Nvidia Tesla “GPU supercomputer, ” CuParcone achieves a performance increase of 323 times in face gender recognition compared to the comparable Parcone algorithm on a state-of-the-art, commodity single-processor server. The accuracy on this task does not decrease in moving from Parcone to CuParcone, and is comparable to the published results of other algorithms.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on  (Volume:1 )

Date of Conference:

11-12 May 2010