使用介电冷却剂的高性能服务器机箱单相浸没冷却系统的评估

Shuai Shao, Tianyi Gao, Huawei Yang, Jie Zhao, Jiajun Zhang
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引用次数: 2

摘要

随着微电子封装的进步,处理器单元的功率密度随着时间的推移稳步增加。配备高性能计算(HPC)的数据中心服务器通常使用多个中央处理单元(cpu)和图形处理单元(gpu),从而导致功率密度增加,每u超过1kw。许多数据中心组织正在评估单相浸入式技术作为一种潜在的节能和资源节约冷却选择。本文研究了在2.7kW/U的功率水平下,采用5u高度的浸没冷却槽进行浸没冷却。模拟GPU服务器产生的热量被传递到二次回路冷却剂,然后通过换热器与一次回路设施冷却剂交换。一次回路控制冷水机供回水温度和流量。模拟的GPU服务器机箱旨在提供相当于高功率密度服务器的热功率。8个模拟电源加热器,每个单元都有一个GPU芯片组的大小,在与4U服务器机箱上的真实IT设备相当的位置组装。GPU模拟机箱的功率最高可支持2700 W。通过综合测试,对该浸入式冷却系统的评价进行了三项调查。首先,确定评估4种烃类介质冷却剂热性能的关键决策因素,包括功率参数分析、瞬态分析、功率循环测试和流体温度剖面。二是制定浸没系统热性能的优化策略。第三个是验证1U散热器在浸入式冷却解决方案中支持每个GPU超过300w的高密度处理器单元的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Single Phase Immersion Cooling System for High Performance Server Chassis Using Dielectric Coolants
Along with advancements in microelectronics packaging, the power density of processor units has steadily increased over time. Data center servers equipped for high performance computing (HPC) often use multiple central processing units (CPUs) and graphical processing units (GPUs), thereby resulting in an increased power density, exceeding 1 kW per U. Many data center organizations are evaluating single phase immersion technology as a potential energy and resource saving cooling option. In this work immersion cooling was studied at a power level of 2.7kW/U with a 5U-height immersion cooling tank. Heat generated by a simulated GPU server was transferred to the secondary loop coolant, and then exchanged with the primary loop facility coolant through the heat exchanger. The chiller supply and return temperature and flow rate was controlled for the primary loop. The simulated GPU server chassis was designed to provide thermal power equivalent to a high power density server. Eight simulated power heaters, of which each unit was the size of a GPU chipset, was assembled in the comparable location to a real IT equipment on a 4U server chassis. Power for the GPU simulated chassis was able to support up to 2700 W maximum. Three investigations for this immersion cooling system evaluation were performed through comprehensive testing. The first is to identify the key decision making factor(s) for evaluating the thermal performance of 4 hydrocarbon-based dielectric coolants, including power parametric analysis, transient analysis, power cycling test, and fluid temperature profiling. The second is to develop an optimization strategy for the immersion system thermal performance. The third is to verify the capability of an 1U heat sink to support high density processor units over 300 W per GPU in an immersion cooling solution.
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