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Exploring a New Adaptive Routing Based on the Dijkstra Algorithm in Optical Networks-on-Chip

机译：基于Dijkstra算法在芯片上的Dijkstra算法探索新的自适应路由

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摘要

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.
机译：已经提出了光电混合网络以实现芯片多处理器（CMP）系统的超高带宽，较低延迟和较少的功耗。然而，光网络上使用的大量光学元件（ONOCS）产生高传输损耗，其将严重影响网络性能并增加功耗。在本文中，采用DIJKSTRA算法实现了链路最小传输损耗的自适应路由，并降低了基于网格的onoc中的链路发射机的输出功率。数值模拟结果表明，与基于维度路由算法的传统功率控制相比，基于Dijkstra算法的优化功率控制中的链路的传输损耗可以最大化。另外，与先前研究中的自适应功率控制相比，在节省光发射器的平均输出功率方面具有更大的优点，而网络尺寸展开。借助模拟软件OPNET，优化网络中的网络性能模拟显示，在传统网络方面，端到端（ete）延迟和吞吐量不会大大减少。因此，本文提出的优化功率控制可以大大降低S网络的功耗，而不会对网络性能产生很大影响。

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