首页> 外文会议>ASME International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic MicroSystems >A COMPUTATIONAL STUDY TO COMPARE THE DATA CENTER COOLING ENERGY SPENT USING TRADITIONAL AIR COOLED AND HYBRID WATER COOLED SERVERS
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A COMPUTATIONAL STUDY TO COMPARE THE DATA CENTER COOLING ENERGY SPENT USING TRADITIONAL AIR COOLED AND HYBRID WATER COOLED SERVERS

机译:使用传统风冷和混合水冷式服务器比较数据中心冷却能量的计算研究

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High performance datacenters that are being built and operated to ensure optimized compute density for high performance computing (HPC) workloads are constrained by the requirement to provide adequate cooling for the servers. Traditional methods of cooling dense high power servers using air cooling imposes a large cooling and power burden on datacenters. Airflow optimization of the datacenter is a constraint subject to a high energy penalty when dense power hungry racks each capable of consuming 30 to 40 kW are populated in a dense datacenter environment. The work documented using a simulation model (TileFlow) in this paper demonstrates the challenges associated with a standard air cooled approach in a HPC datacenter. Alternate cooling approaches to traditional air cooling are simulated as a comparison to traditional air cooling. These include models using a heat exchanger assisted rack cooling solution with conventional chilled water and, a direct to node cooling model simulated for the racks. These three distinct data center models are simulated at varying workloads and the resulting data is presented for typical and maximal inlet temperatures to the racks. For each cooling solution an estimate of the energy spend for the servers is determined based on the estimated PUEs of the cooling solutions chosen.
机译:正在构建和操作的高性能数据中心,以确保高性能计算(HPC)工作负载的优化计算密度受到服务器提供足够冷却的限制。使用空气冷却冷却密集的高功率服务器的传统方法施加了大量的冷却和电源负担。当能够在密集的数据中心环境中填充了每个能够消耗30到40千瓦的密集功率饥饿的机架时,数据中心的气流优化是一个受到高能量惩罚的约束。本文中使用仿真模型(Tileflow)记录的工作展示了与HPC数据中心中的标准空气冷却方法相关的挑战。传统空气冷却的交替冷却方法被模拟为与传统空气冷却的比较。这些包括使用具有常规冷却水的热交换器辅助机架冷却液的模型,并直接向机架模拟节点冷却模型。这三个不同的数据中心模型在不同的工作负载下模拟,并将所得数据呈现给机架的典型和最大入口温度。对于每个冷却解决方案,基于所选择的冷却溶液的估计的PU来确定用于服务器的能量支出的估计。

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