基于微谐振器的片上光网络高性能低成本路由器

Huaxi Gu, Jiang Xu, Zheng Wang
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引用次数: 37

摘要

片上系统的性能不仅取决于其功能单元的性能,还取决于它们之间相互合作的效率。决定协作效率的是片上通信架构。为了提高通信带宽和功耗,引入了片上网络(NoC)。然而,传统的金属互连消耗大量的电力来提供大的通信带宽。光noc基于硅光互连,具有显著的带宽和功耗优势。光路由器是光网络的关键使能部件。本文提出了一种基于XY路由算法的光noc的新型光路由器结构ODOR。我们将ODOR与其他四种路由器架构进行了比较,并从功耗、光功率插入损耗和微谐振器数量三个方面进行了详细分析。结果表明,该方法具有最低的功耗和损耗,并且需要最少的微谐振器。与全连接交叉杆相比,ODOR的功耗降低40%,损耗降低40%,微谐振器减少52%。此外,ODOR有一个特殊的特性,它保证通过网络路由数据包的最大功率是一个小的常数,而与网络大小无关。在现有技术下,最大功耗为0.96fJ/bit。我们模拟了一个基于气味的6x6二维网格NoC,并展示了在不同提供的负载和数据包大小下的端到端延迟和网络吞吐量。
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ODOR: a microresonator-based high-performance low-cost router for optical networks-on-Chip
The performance of system-on-chip is determined not only by the performance of its functional units, but also by how efficiently they cooperate with one another. It is the on-chip communication architecture which determines the cooperation efficiency. Network-on-Chip (NoC) is introduced to improve communication bandwidth and power efficiency. However, traditional metallic interconnects consume significant amount of power to deliver large communication bandwidths. Optical NoCs are based on silicon optical interconnects with significant bandwidth and power advantages. Optical routers are the key enabling components of optical NoCs. This paper proposed a novel optical router architecture, ODOR, for optical NoCs based on XY routing algorithm. We compared ODOR with four other router architectures, and analyzed three aspects in details, including power consumption, optical power insertion loss, and the number of microresonators. The results show that ODOR has the lowest power consumption and losses and requires the least microresonators. ODOR has 40% less power consumption, 40% less loss, and 52% less microresonator than the full-connected crossbar. Furthermore, ODOR has a special feature which guarantees the maximum power to route a packet through a network to be a small constant number, regardless of the network size. The maximum power consumption is 0.96fJ/bit under current technology. We simulated a 6x6 2D mesh NoC based on ODOR, and showed the end-to-end delay and network throughput under different offered loads and packet sizes.
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