Performance of Parallel Back-Propagation Algorithm on PC Cluster System
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概要
- 論文の詳細を見る
ABSTRACT Neural network has been applied for many fields. However, real-world problems need large scale neural network, and enormous calculation time is also required for the training of neural network. So we made sample large-scale problem and parallelize it on used the computer cluster. This paper deals with parallel neural network on PC cluster system. We valuated the performance of the training-set parallel model on the PC cluster system. On the classification problem, the training-set parallel model was 6 cluster elements achieve 1.79 times faster than serial model.
- 宮崎大学の論文
著者
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Yoshihara Ikuo
Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University
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Yoshihara Ikuo
Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University
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Yoshihara Ikuo
Department Of Computer And Science And Systems Engineering Miyazaki University
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Yamamori Kunihito
Department Of Computer And Science And Systems Engineering Miyazaki University
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Yamamori Kuhihito
Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University
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Tosa Yasushi
Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University
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Tosa Yasushi
Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University
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Yamamori Kuhihito
Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University
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