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Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip
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 influe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824910/ https://www.ncbi.nlm.nih.gov/pubmed/33466564 http://dx.doi.org/10.3390/mi12010054 |
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author | Zheng, Yan-Li Song, Ting-Ting Chai, Jun-Xiong Yang, Xiao-Ping Yu, Meng-Meng Zhu, Yun-Chao Liu, Yong Xie, Yi-Yuan |
author_facet | Zheng, Yan-Li Song, Ting-Ting Chai, Jun-Xiong Yang, Xiao-Ping Yu, Meng-Meng Zhu, Yun-Chao Liu, Yong Xie, Yi-Yuan |
author_sort | Zheng, Yan-Li |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7824910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78249102021-01-24 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 Micromachines (Basel) Article 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. MDPI 2021-01-05 /pmc/articles/PMC7824910/ /pubmed/33466564 http://dx.doi.org/10.3390/mi12010054 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zheng, Yan-Li Song, Ting-Ting Chai, Jun-Xiong Yang, Xiao-Ping Yu, Meng-Meng Zhu, Yun-Chao Liu, Yong Xie, Yi-Yuan Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title | Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title_full | Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title_fullStr | Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title_full_unstemmed | Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title_short | Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip |
title_sort | exploring a new adaptive routing based on the dijkstra algorithm in optical networks-on-chip |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824910/ https://www.ncbi.nlm.nih.gov/pubmed/33466564 http://dx.doi.org/10.3390/mi12010054 |
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