Design and implementation of a parallel software for hybrid neural network computation in PVM environment

Huiwei Guan, Chi-Kwong Li, T. Cheung, Songnian Yu, W. Tong
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引用次数: 5

Abstract

This paper discusses the design of a hybrid artificial neural network (ANN) system and its implementation in the Parallel Virtual Machine (PVM) environment. First, the PVM functions for supporting parallel applications and communications among multiple processes and multiple machines are investigated. Then, the design and construction of a hybrid ANN simulation software is proposed. It includes the user interface, control and SPMD computing levels. The software can be used for supporting parallel simulation of different kinds of learning algorithms and neural computing models.
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PVM环境下混合神经网络并行计算软件的设计与实现
讨论了一种混合人工神经网络(ANN)系统的设计及其在并行虚拟机(PVM)环境中的实现。首先,研究了支持并行应用和多进程、多机器间通信的PVM功能。然后,提出了混合型人工神经网络仿真软件的设计与构建。它包括用户界面、控件和SPMD计算层。该软件可用于支持各种学习算法和神经计算模型的并行仿真。
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