Systematic Analysis of Crosstalk Noise in Folded-Torus-Based Optical Networks-on-Chip

Author(s):  
Mahdi Nikdast ◽  
Jiang Xu ◽  
Xiaowen Wu ◽  
Wei Zhang ◽  
Yaoyao Ye ◽  
...  
2016 ◽  
Vol 34 (15) ◽  
pp. 3550-3562 ◽  
Author(s):  
Yiyuan Xie ◽  
Tingting Song ◽  
Zhendong Zhang ◽  
Chao He ◽  
Jiachao Li ◽  
...  

2013 ◽  
Vol 21 (10) ◽  
pp. 1823-1836 ◽  
Author(s):  
Yiyuan Xie ◽  
Mahdi Nikdast ◽  
Jiang Xu ◽  
Xiaowen Wu ◽  
Wei Zhang ◽  
...  

2019 ◽  
Vol 13 (2) ◽  
pp. 85-93
Author(s):  
Jingping Zhang ◽  
Yiyuan Xie ◽  
Shujian Wang ◽  
Yichen Ye ◽  
Yuzhu Liu ◽  
...  

2015 ◽  
Vol 23 (11) ◽  
pp. 2552-2565 ◽  
Author(s):  
Mahdi Nikdast ◽  
Jiang Xu ◽  
Luan Huu Kinh Duong ◽  
Xiaowen Wu ◽  
Xuan Wang ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yan-Li Zheng ◽  
Ting-Ting Song ◽  
Jun-Xiong Chai ◽  
Xiao-Ping Yang ◽  
Meng-Meng Yu ◽  
...  

The photoelectric hybrid network has been proposed to achieve the ultrahigh bandwidth, lower delay, and less power consumption for chip multiprocessor (CMP) systems. However, a large number of optical elements used in optical networks-on-chip (ONoCs) generate high transmission loss which will influence network performance severely and increase power consumption. In this paper, the Dijkstra algorithm is adopted to realize adaptive routing with minimum transmission loss of link and reduce the output power of the link transmitter in mesh-based ONoCs. The numerical simulation results demonstrate that the transmission loss of a link in optimized power control based on the Dijkstra algorithm could be maximally reduced compared with traditional power control based on the dimensional routing algorithm. Additionally, it has a greater advantage in saving the average output power of optical transmitter compared to the adaptive power control in previous studies, while the network size expands. With the aid of simulation software OPNET, the network performance simulations in an optimized network revealed that the end-to-end (ETE) latency and throughput are not vastly reduced in regard to a traditional network. Hence, the optimized power control proposed in this paper can greatly reduce the power consumption of s network without having a big impact on network performance.


2021 ◽  
Author(s):  
Zhidan Zheng ◽  
Mengchu Li ◽  
Tsun-Ming Tseng ◽  
Ulf Schlichtmann

Sign in / Sign up

Export Citation Format

Share Document