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Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip.
Zheng, Yan-Li; Song, Ting-Ting; Chai, Jun-Xiong; Yang, Xiao-Ping; Yu, Meng-Meng; Zhu, Yun-Chao; Liu, Yong; Xie, Yi-Yuan.
Afiliação
  • Zheng YL; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Song TT; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Chai JX; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Yang XP; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Yu MM; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Zhu YC; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
  • Liu Y; School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Xie YY; School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Micromachines (Basel) ; 12(1)2021 Jan 05.
Article em En | MEDLINE | ID: mdl-33466564
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China