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Research on the performance of grid computing for distributed neural networks


Bo Yang, Ya-dong Wang, Xiao-hong Su


Vol. 6  No. 4  pp. 179-187


In this paper we report the first evaluation of cooperation computing for neural networks in distributed environment. Several performance-relevant factors are considered, including architecture of computing service, workflow and cooperation strategy. Evidence on basic processes and performance of such strategies of cooperation computing are reviewed. We also present a theoretical analysis of distributed-training strategies of neural networks for structure-distributed and data-distributed. The evaluation concludes by briefly considering selected open questions and emerging directions in construction of grid computing for distributed neural networks.


Artificial neural network, Grid computing, Cooperation strategy, Training algorithm, Performance evaluation