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Supercomputers Keeping People Warm in the Winter

机译:超级计算机让人们在冬天温暖

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We present the design and evaluation of the heat recovery system for KTH's Lindgren, Stockholm's fastest supercomputer, a Cray XE6. Lindgren came into service in 2010 and has since been primarily used for complex numeric simulations of fluid mechanics and computational chemistry and biology. The heat exchange system collects the wasted heat from Lindgren's 36,384 CPU cores and transfers it via the standard district heating and cooling system to a neighboring building which houses the Chemistry laboratories. We analyze the impact of Lindgren's heat recycle system as a function of outside temperature and we estimate the system's carbon emission savings. Since the original installation of Lindgren in 2010, it has become common practice to use water cooling systems for supercomputers, as water is a better heat transfer medium than air. We discuss the relevant design lessons from Lindgren as they relate to practical and sustainable waste heat recovery designs for today’s platforms. Finally, we estimate that the recovered heat from Lindgren reduced the carbon emissions by nearly 50 tons over the 2012-13 winter, the sample period of our analysis.
机译:我们展示了Kth Lindgren的热回收系统的设计和评估,斯德哥尔摩最快的超级计算机,Cray XE6。 LINDGREN于2010年投入使用,此后主要用于流体力学和计算化学和生物学的复杂数值模拟。热交换系统从Lindgren的36,384 CPU核心收集浪费的热量,并通过标准地区供热和冷却系统将其转移到邻近建筑物,该建筑物容纳化学实验室。我们分析了LINDGREN热回收系统的影响,作为外部温度的函数,我们估计系统的碳排放量。自2010年LINDGREN的原始安装以来,它已成为使用超级计算机的水冷系统的常见做法,因为水是比空气更好的传热介质。我们讨论了Lindgren的相关设计课程,因为它们与当今平台的实用和可持续的废热回收设计有关。最后,我们估计,在2012-13冬季,Lindgren的回收热量将近50吨降低了近50吨,我们分析的样本期。

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