Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural network and its energy function is introduced. This network requires a significantly smaller number of neurons compared to its counterparts. Also presented is the performance of this neural network.
Keywords: Routing, Multicomputer systems, Recurrent neural networks, Mesh interconnection networks.
S.Samavi, , & V. Tahani and P. Khadivi, (2001). Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks. Journal of Advanced Materials in Engineering (Esteghlal), 20(2), 17-25.
MLA
S.Samavi; V. Tahani and P. Khadivi. "Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks", Journal of Advanced Materials in Engineering (Esteghlal), 20, 2, 2001, 17-25.
HARVARD
S.Samavi, , V. Tahani and P. Khadivi, (2001). 'Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks', Journal of Advanced Materials in Engineering (Esteghlal), 20(2), pp. 17-25.
VANCOUVER
S.Samavi, , V. Tahani and P. Khadivi, Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks. Journal of Advanced Materials in Engineering (Esteghlal), 2001; 20(2): 17-25.
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