Conquering Noise With Hardware Counters on HPC Systems

M. Ritter, Ahmad Tarraf, Alexander Geiß, Nour Daoud, B. Mohr, F. Wolf
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Abstract

With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior of an application and thus determine performance bottlenecks at early stages. Unfortunately, modeling this trend is a challenging task in the presence of noise, as the measurements can become irreproducible and misleading, thus resulting in strong deviations from the actual behavior. While noise impacts the application runtime, it has little to no effect on some hardware counters like floating-point operations. However, selecting the appropriate counters for performance modeling demands some investigation. In this paper, we perform a noise analysis on various hardware counters. Using our noise generator, we add additional noise on top of the system noise to inspect the counters' variability. We perform the analysis on five systems with three applications in the presence of various noise patterns and categorize the counters across the systems according to their noise resilience.
用HPC系统上的硬件计数器征服噪声
随着系统性能和复杂性的增加,检查应用程序的伸缩行为并在早期阶段确定性能瓶颈变得越来越重要。不幸的是,在存在噪声的情况下,对这种趋势进行建模是一项具有挑战性的任务,因为测量结果可能变得不可复制且具有误导性,从而导致与实际行为的强烈偏差。虽然噪音会影响应用程序运行时,但它对一些硬件计数器(如浮点操作)几乎没有影响。然而,为性能建模选择适当的计数器需要进行一些调查。在本文中,我们对各种硬件计数器进行了噪声分析。使用我们的噪声发生器,我们在系统噪声之上添加额外的噪声来检查计数器的可变性。我们在存在各种噪声模式的情况下对具有三种应用的五个系统进行了分析,并根据它们的噪声弹性对系统中的计数器进行了分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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