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:传统空冷和混合水冷服务器对数据中心冷却能耗的比较研究

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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:为确保为高性能计算(HPC)工作负载优化计算密度而构建和运行的高性能数据中心受到为服务器提供足够散热的要求的限制。使用空气冷却来冷却高功率大功率服务器的传统方法给数据中心带来了很大的冷却和功率负担。当在密集的数据中心环境中安装每个耗能30到40 kW的电力密集的密集机架时,数据中心的气流优化受到高能耗的约束。本文使用模拟模型(TileFlow)记录的工作证明了HPC数据中心中与标准风冷方法相关的挑战。与传统的空气冷却相比,模拟了传统的空气冷却的替代冷却方法。这些模型包括使用热交换器辅助的机架冷却解决方案和常规冷却水的模型,以及为机架模拟的直接节点冷却模型。这三种不同的数据中心模型是在不同的工作负荷下进行仿真的,并针对典型的和最高的机架入口温度提供了所得数据。对于每个冷却解决方案,将根据所选冷却解决方案的估计PUE确定服务器能耗的估计值。

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