Therma: Thermal-aware Run-time Thread Migration for Nanophotonic Interconnects

Majed Valad Beigi, G. Memik
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引用次数: 8

Abstract

In this paper, we introduce Therma, a thermal-aware run-time thread migration mechanism for managing temperature fluctuations in nanophotonic networks. Nanophotonics is one of the most promising communication substrate candidates for next-generation high-performance systems. However, their underlying components are sensitive to temperature fluctuations. These fluctuations arise mostly because of the temperature changes on the cores, which are adjacent to nanophotonic components. Therma minimizes thermal fluctuations on these temperature sensitive components by moving threads across cores. Evaluation results reveal that when each core is executing a single thread, Therma achieves a 15.4% and 6.1% reduction in the photonic power consumption compared to the baseline and an interconnectoblivious thread migration scheme, respectively. It also reduces photonic power consumption by up to 20.7% compared to the alternatives when running multiple threads per core on the system.
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热:纳米光子互连的热感知运行时线程迁移
在本文中,我们介绍了Therma,一个热感知运行时线程迁移机制,用于管理纳米光子网络中的温度波动。纳米光子学是下一代高性能系统中最有前途的通信衬底之一。然而,它们的底层成分对温度波动很敏感。这些波动主要是由于核心上的温度变化引起的,核心与纳米光子元件相邻。Therma通过在核心上移动线程来最大限度地减少这些温度敏感组件上的热波动。评估结果显示,当每个核心执行单个线程时,与基线和互连的线程迁移方案相比,Therma分别实现了15.4%和6.1%的光子功耗降低。与在系统上每核运行多个线程相比,它还减少了高达20.7%的光子功耗。
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