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Convex-Based Thermal Management for 3D MPSoCs Using DVFS and Variable-Flow Liquid Cooling

机译:使用DVFS和可变流量液体冷却的3D MPSoC基于凸面的热管理

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In this work, we propose a novel online thermal management approach based on model predictive control for 3D multi-processors system on chip (MPSoCs) using microfluidic cooling. The controller uses dynamic voltage and frequency scaling (DVFS) for the computational cores and adjusts the liquid flow rate to meet the desired performance requirements and to minimize the overall MPSoC energy consumption (MPSoC power consumption+cooling power consumption). Our experimental results illustrate that our policy satisfies performance requirements and maintains the temperature below the specified threshold, while reducing cooling energy by up to 50% compared with traditional state-of-the-art liquid cooling techniques. The proposed policy also keeps the thermal profile up to 18℃ lower compared with state of the art 3D thermal management using variable-flow liquid cooling.
机译:在这项工作中,我们提出了一种基于模型预测控制的新型在线热管理方法,该方法用于使用微流体冷却的3D多处理器片上系统(MPSoC)。控制器将动态电压和频率缩放(DVFS)用于计算内核,并调整液体流速以满足所需的性能要求,并最大程度地降低MPSoC的总体能耗(MPSoC功耗+冷却功耗)。我们的实验结果表明,与传统的最新液态冷却技术相比,我们的策略可以满足性能要求并将温度保持在指定的阈值以下,同时最多可将冷却能量降低50%。与使用可变流量液体冷却的最新3D热管理技术相比,所提出的策略还可以使热性能降低18摄氏度。

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