DSENT -连接新兴光子学与电子学的工具,用于光电片上网络建模

Chen Sun, C. Chen, George Kurian, Lan Wei, Jason E. Miller, A. Agarwal, L. Peh, V. Stojanović
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引用次数: 523

摘要

随着需要大量带宽的多核芯片的兴起,集成光子链路作为传统电互连的一种有前途的替代方案被研究。虽然已经提出了许多光电noc,但到目前为止,对光子体系结构的评估不得不使用许多简化方法,这反映出需要一种建模工具来准确地捕捉新兴技术及其对整个网络的影响的权衡。在本文中,我们提出了DSENT,一种用于快速设计空间探索的电气和光电网络的NoC建模工具。我们解释了我们的建模框架,并执行了一个能量驱动的案例研究,重点是电气技术缩放,光子参数和热调谐。我们的研究结果显示了不同技术场景的含义,特别是由于光子网络的非数据依赖性,需要降低激光和热调谐功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DSENT - A Tool Connecting Emerging Photonics with Electronics for Opto-Electronic Networks-on-Chip Modeling
With the rise of many-core chips that require substantial bandwidth from the network on chip (NoC), integrated photonic links have been investigated as a promising alternative to traditional electrical interconnects. While numerous opto-electronic NoCs have been proposed, evaluations of photonic architectures have thus-far had to use a number of simplifications, reflecting the need for a modeling tool that accurately captures the tradeoffs for the emerging technology and its impacts on the overall network. In this paper, we present DSENT, a NoC modeling tool for rapid design space exploration of electrical and opto-electrical networks. We explain our modeling framework and perform an energy-driven case study, focusing on electrical technology scaling, photonic parameters, and thermal tuning. Our results show the implications of different technology scenarios and, in particular, the need to reduce laser and thermal tuning power in a photonic network due to their non-data-dependent nature.
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