Comparative study and prediction modeling of photonic ring Network on Chip architectures

Sara Karimi, Jelena Trajkovic
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引用次数: 1

Abstract

Multicore systems are becoming state-of-the-art and therefore need fast and energy efficient interconnects to take full advantage of the computational capabilities. Integration of silicon photonics with traditional electrical interconnect in Network on Chip (NoC) proposes a promising solution for overcoming the scalability issues of electrical interconnect. In this paper, we implement the simulation model for two Optical NoC architectures and compare their performance. We also derive and evaluate a prediction modeling technique for the design space exploration of ONoCs. Our proposed model accurately predicts packet latency, static and dynamic energy consumption of the network. This work specifically addresses the challenge of accurately estimating performance metrics without having to incur high costs of exhaustive simulations. Our case study shows that by using only 10% of the entire design space, our proposed technique builds a prediction model that achieved average error rates as low as 5.44%, 2.67% and 3.24% for network packet latency, static and dynamic energy consumption respectively in six different benchmarks from Splash-2 benchmark suite.
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基于芯片架构的光子环网络的比较研究与预测建模
多核系统正在成为最先进的技术,因此需要快速和节能的互连,以充分利用计算能力。在片上网络(NoC)中,硅光子学与传统电互连的集成为克服电互连的可扩展性问题提供了一种很有前途的解决方案。在本文中,我们实现了两种光学NoC架构的仿真模型,并比较了它们的性能。我们还推导并评估了一种用于onoc设计空间探索的预测建模技术。我们提出的模型准确地预测了网络的数据包延迟、静态和动态能量消耗。这项工作特别解决了准确估计性能指标的挑战,而不必承担详尽模拟的高成本。我们的案例研究表明,仅使用整个设计空间的10%,我们提出的技术建立了一个预测模型,在来自Splash-2基准测试套件的六个不同基准测试中,网络数据包延迟、静态和动态能耗的平均错误率分别达到5.44%、2.67%和3.24%。
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