Neural Network Routing Implementation using CUDA Technology

被引：0

作者：

Zoican, Sorin ^{[1
]}

Zoican, Roxana ^{[1
]}

Galatchi, Dan ^{[1
]}

机构：

[1] Telecommun & Informat Technol Politeh Univ Buchar, Fac Elect, Splaiul Independentei 313, Bucharest 060042, Romania

来源：

2017 13TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES, SYSTEMS AND SERVICES IN TELECOMMUNICATIONS (TELSIKS) | 2017年

关键词：

neural network router; graphics processing unit; hybrid processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an implementation of an algorithm for finding the routes based on neural network using the Computer Unified Device Architecture (CUDA) that exploits the parallel processing nature of neural networks. The purpose of this paper is to investigate the possibility of an efficient implementation of such algorithm and evaluate its performance (processing time to determine the route). The implementation is not affected by the network topology so it may be used in dynamic networks. The resources required are the usual ones in a personal computer equipped with CUDA graphics card. Comparing with a standard implementation using a personal computer, the obtained performance is about hundred times better using CUDA.

引用

页码：275 / 278

页数：4

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