AI Article Synopsis

  • The photoelectric hybrid network aims to enhance chip multiprocessor (CMP) systems by providing ultra-high bandwidth, lower delays, and reduced power consumption.
  • The Dijkstra algorithm is utilized to minimize transmission loss and decrease the output power of link transmitters in mesh-based optical networks-on-chip (ONoCs), leading to better performance.
  • Simulation results show that this optimized power control significantly reduces power consumption while maintaining similar network performance compared to traditional methods, even as the network size increases.

Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824910PMC
http://dx.doi.org/10.3390/mi12010054DOI Listing

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