Performance evaluation of a routing algorithm based on Hopfield Neural Network for network-on-chip

2015 ◽  
Vol 102 (12) ◽  
pp. 1963-1977 ◽  
Author(s):  
Jamal Esmaelpoor ◽  
Abdollah Ghafouri
2021 ◽  
Vol 1871 (1) ◽  
pp. 012117
Author(s):  
Lu Liu ◽  
Yanfei Yang ◽  
Qianqian Lei ◽  
Huhu Wang ◽  
Song Lixun

2011 ◽  
Vol 474-476 ◽  
pp. 413-416
Author(s):  
Jia Jia ◽  
Duan Zhou ◽  
Jian Xian Zhang

In this paper, we propose a novel adaptive routing algorithm to solve the communication congestion problem for Network-on-Chip (NoC). The strategy competing for output ports in both X and Y directions is employed to utilize the output ports of the router sufficiently, and to reduce the transmission latency and improve the throughput. Experimental results show that the proposed algorithm is very effective in relieving the communication congestion, and a reduction in average latency by 45.7% and an improvement in throughput by 44.4% are achieved compared with the deterministic XY routing algorithm and the simple XY adaptive routing algorithm.


2014 ◽  
Vol 981 ◽  
pp. 431-434
Author(s):  
Zhan Peng Jiang ◽  
Rui Xu ◽  
Chang Chun Dong ◽  
Lin Hai Cui

Network on Chip(NoC),a new proposed solution to solve global communication problem in complex System on Chip (SoC) design,has absorbed more and more researchers to do research in this area. Due to some distinct characteristics, NoC is different from both traditional off-chip network and traditional on-chip bus,and is facing with the huge design challenge. NoC router design is one of the most important issues in NoC system. The paper present a high-performance, low-latency two-stage pipelined router architecture suitable for NoC designs and providing a solution to irregular 2Dmesh topology for NoC. The key features of the proposed Mix Router are its suitability for 2Dmesh NoC topology and its capability of suorting both full-adaptive routing and deterministic routing algorithm.


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