Parallel backpropagation learning algorithms on CRAY Y-MP8/864 supercomputer

Shih-Lin Hung, H. Adeli*

*此作品的通信作者

研究成果: Article同行評審

110 引文 斯高帕斯(Scopus)

摘要

Parallel backpropagation neural networks learning algorithms have been developed employing the vectorization and microtasking capabilities of vector MIMD machines. They have been implemented in C on CRAY Y-MP/864 supercomputer under UNICOS operating system. The algorithms have been applied to two different domains: engineering design and image recognition, and their performance has been investigated. A maximum speedup of about 6.7 is achieved using eight processors for a large network with 5950 links due to microtasking only. When vectorization is combined with microtasking, a maximum speedup of about 33 is realized using eight processors.

原文English
頁(從 - 到)287-302
頁數16
期刊Neurocomputing
5
發行號6
DOIs
出版狀態Published - 1 1月 1993

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