A generic reconfigurable neural network architecture implemented as a network on chip

被引:19
|
作者
Theocharides, T [1 ]
Link, G [1 ]
Vijaykrishnan, N [1 ]
Irwin, MJ [1 ]
Srikantam, V [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
关键词
D O I
10.1109/SOCC.2004.1362404
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Neural networks are widely used in pattern recognition, security applications and data manipulation. We propose a novel hardware architecture for a generic neural network, using Network on Chip (NoC) interconnect. The proposed architecture allows for expandability, mapping of more than one logical unit onto a single physical unit, and dynamic reconfiguration based on application-specific demands. Simulation results show that this architecture has significant performance benefits over existing architectures.
引用
收藏
页码:191 / 194
页数:4
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