Improving Scalability in Thermally Resilient Hybrid Photonic-Electronic NoCs

Keyvan Ramezanpour, Xingye Liu, P. Ampadu
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Abstract

Hybrid photonic-electronic networks-on-chip (HPENoCs) harness the strengths of both photonic and electronic links to meet the stringent demands of bandwidth, power, and latency of many-core systems. Microring resonators (MRRs), fundamental components in on-chip photonic networks, are highly sensitive to thermal variations, which may lead to erroneous optical transmission. Previously, we proposed a thermal-aware fault-tolerant routing technique (TAFT) to address this problem. In this paper, we examine and evaluate the scalability of TAFT as the NoC size grows. Organizing the NoC into different size clusters is a crucial part of TAFT scalability. Given the same number of cores, different cluster sizes can have up to 45% latency difference. The latency, throughput and power consumption are all dependent on cluster size, under similar traffic patterns. Simulation results also show that as the traffic pattern degrades, revising cluster size can yield up to 56% latency improvement.
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提高热弹性混合光电子noc的可扩展性
混合光电子片上网络(HPENoCs)利用光子和电子链路的优势来满足多核系统对带宽、功率和延迟的严格要求。微环谐振器(MRRs)是片上光子网络的基本组成部分,对热变化非常敏感,可能导致错误的光传输。之前,我们提出了一种热感知容错路由技术(TAFT)来解决这个问题。在本文中,我们研究和评估了随着NoC规模的增长,TAFT的可扩展性。将NoC组织到不同大小的集群中是TAFT可伸缩性的关键部分。在核数相同的情况下,不同集群大小的延迟差异最高可达45%。在类似的流量模式下,延迟、吞吐量和功耗都取决于集群大小。仿真结果还表明,随着流量模式的退化,修改集群大小可以产生高达56%的延迟改进。
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On Error Injection for NoC Platforms: A UVM-based Practical Case Study Thermal/Traffic Mutual-Coupling Co-simulation Platform for 3D Network-on-Chip (NoC) Designs An Efficient Self-Routing and Non-Blocking Interconnection Network on Chip Improving Scalability in Thermally Resilient Hybrid Photonic-Electronic NoCs Performance Evaluation of Mesh-based 3D NoCs
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