Title :
Efficiency research of batch and single pattern MLP parallel training algorithms
Author :
Turchenko, Volodymyr ; Grandinetti, Lucio
Author_Institution :
Dept. of Electron., Inf. & Syst., Univ. of Calabria, Rende, Italy
Abstract :
The development of parallel algorithms for batch and single pattern back propagation training of a multilayer perceptron and the research of their efficiency on a general-purpose parallel computer are presented in this paper. The multilayer perceptron model and the sequential batch and single pattern training algorithms are theoretically described. An algorithmic description of the parallel versions of the batch and single pattern training methods are specified. The efficiencies of the developed parallel algorithms are investigated by progressively increasing the dimension of the parallelized problem on a general-purpose parallel computer NEC TX-7.
Keywords :
backpropagation; multilayer perceptrons; parallel algorithms; back propagation training; batch MLP parallel training algorithm; general-purpose parallel computer; multilayer perceptron model; single pattern MLP parallel training algorithm; Computational modeling; Computer networks; Concurrent computing; Grid computing; Hardware; High performance computing; Multilayer perceptrons; Neural networks; Neurons; Parallel algorithms; Parallel batch pattern training; multilayer perceptron; parallel single pattern training; parallelization efficiency;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342990
