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A Three Step Blind Approach for Improving HPC Systems' Energy Performance

机译:改善HPC系统能源绩效的三步盲法

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摘要

Nowadays, there is no doubt that energy consumption has become a limiting factor in the design and operation of high performance computing (HPC) systems. This is evidenced by the rise of efforts both from the academia and the industry to reduce the energy consumption of those systems. Unlike hardware solutions, software initiatives targeting HPC systems' energy consumption reduction despite their effectiveness are often limited for reasons including: (ⅰ) the program specific nature of the solution proposed; (ⅱ) the need of deep understanding of applications at hand; (ⅲ) proposed solutions are often difficult to use by novices and/or are designed for single task environments.This paper propose a three step blind system-wide, application independent, fine-grain, and easy to use (user, friendly) methodology for improving energy performance of HPC systems. The methodology typically breaks into phase detection, phase characterization, and phase identification and system reconfiguration. And it is blind in the sense that it does not require any knowledge from users. It relies upon reconfigurable capabilities offered by the majority of HPC subsystems - including the processor, storage, memory, and communication subsystems - to reduce the overall energy consumption of the system (excluding network equipments) at runtime. We also present an implementation of our methodology through which we demonstrate its effectiveness via static analyses and experiments using benchmarks representative of HPC workloads.
机译:如今,毫无疑问,能耗已成为高性能计算(HPC)系统设计和运行中的限制因素。学术界和工业界为减少这些系统的能耗而作出的努力正在增加,这证明了这一点。与硬件解决方案不同的是,尽管针对HPC系统降低了能耗,但针对其降低能耗的软件计划通常由于以下原因而受到限制:(ⅰ)建议的解决方案的程序特定性质; (ⅱ)需要深入了解手头的应用; (ⅲ)提出的解决方案通常对于新手来说很难使用和/或设计用于单任务环境。本文提出了一种三步盲的系统级,独立于应用程序,粒度细且易于使用(用户友好)的方法用于提高HPC系统的能源性能。该方法通常分为相位检测,相位表征,相位识别和系统重新配置。它在某种意义上是盲目的,因为它不需要用户提供任何知识。它依靠大多数HPC子系统(包括处理器,存储,内存和通信子系统)提供的可重新配置功能,以减少运行时系统(不包括网络设备)的总体能耗。我们还介绍了我们方法的一种实现方式,通过该方法,我们可以使用代表HPC工作负载的基准通过静态分析和实验来证明其有效性。

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  • 会议地点 Vienna(AT)
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    INRIA, LIP Laboratory (UMR CNRS, ENS, INRIA, UCB), Ecole Normale Superieure de Lyon, Universite de Lyon, Lyon, France,IRIT (UMR CNRS), University of Toulouse, 118 Route de Narbonne, 31062 Toulouse CEDEX 9, France;

    INRIA, LIP Laboratory (UMR CNRS, ENS, INRIA, UCB), Ecole Normale Superieure de Lyon, Universite de Lyon, Lyon, France;

    IRIT (UMR CNRS), University of Toulouse, 118 Route de Narbonne, 31062 Toulouse CEDEX 9, France;

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