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Optimization of an on-chip active cooling system based on thin-film thermoelectric coolers

机译:基于薄膜热电冷却器的片上主动冷却系统的优化

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In this paper, we explore the design and optimization of an on-chip active cooling system based on thin-film thermoelectric coolers (TEC). We start our investigation by establishing the compact thermal model for the chip package with integrated thin-film TEC devices. We observe that deploying an excessive number of TEC devices and/or providing the TEC devices with an improper supply current might adversely result in the overheating of the chip, rendering the cooling system ineffective. A large amount of supply current could even cause the thermal runaway of the system. Motivated by this observation, we formulate the deployment of the integrated TEC devices and their supply current setting as a system-level design problem. We propose a greedy algorithm to determine the deployment of TEC devices and a convex programming based scheme for setting the supply current levels. Leveraging the theory of inverse-positive matrix, we provide an optimality condition for the current setting algorithm. We have tested our algorithms on various benchmarks. We observe that our algorithms are able to determine the proper deployment and supply current level of the TEC devices which reduces the temperatures of the hot spots by as much as 7.5°C compared to the cases without integrated TEC devices.
机译:在本文中,我们探索了基于薄膜热电冷却器(TEC)的片上有源冷却系统的设计和优化。我们通过建立集成了薄膜TEC器件的芯片封装的紧凑热模型来开始我们的研究。我们观察到,部署过多的TEC设备和/或为TEC设备提供不合适的电源电流可能会不利地导致芯片过热,从而导致冷却系统失效。大量的电源电流甚至可能导致系统的热失控。基于这种观察,我们将集成TEC设备的部署及其电源电流设置公式化为系统级设计问题。我们提出了一种贪婪算法来确定TEC设备的部署,并提出了一种基于凸编程的方案来设置电源电流水平。利用逆正矩阵的理论,我们为电流设置算法提供了最优条件。我们已经在各种基准上测试了我们的算法。我们观察到,我们的算法能够确定TEC设备的正确部署和供电水平,与没有集成TEC设备的情况相比,该温度可将热点温度降低多达7.5°C。 。

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