高性能计算作业的功耗行为揭示了什么?:揭秘、量化和预测电力消耗特性

Tirthak Patel, Adam Wagenhäuser, C. Eibel, Timo Hönig, T. Zeiser, Devesh Tiwari
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引用次数: 18

摘要

当我们接近百亿亿次计算时,大规模HPC系统变得越来越受功率限制,要求它们以节能的方式运行HPC工作负载。实现这一目标的第一步是更好地理解、分析和量化高性能计算作业的功耗特征。然而,人们对运行在生产HPC系统上的HPC作业的功耗特征缺乏了解。需要这样的特性来指导下一代功耗感知资源管理的设计。据我们所知,我们是第一个将两个中等规模生产HPC集群的HPC作业和用户的功耗特征的数据和分析开源的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics
As we approach exascale computing, large-scale HPC systems are becoming increasingly power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The first step toward achieving this goal is to better understand, analyze, and quantify the power consumption characteristics of HPC jobs. However, there is a lack of understanding of the power consumption characteristics of HPC jobs which run on production HPC systems. Such characterization is required to guide the design of the next generation of power-aware resource management. To the best of our knowledge, we are the first study to open-source the data and analysis of power-consumption characteristics of HPC jobs and users from two medium-scale production HPC clusters.
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