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Benchmarking the effects of operating system interference on extreme-scale parallel machines

机译：评估操作系统干扰对超大型并行计算机的影响

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摘要

We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the noise on several contemporary platforms and find that, even with a general-purpose operating system, noise can be limited if certain precautions are taken. We then inject artificially generated noise into a massively parallel system and measure its influence on the performance of collective operations. Our experiments indicate that on extreme-scale platforms, the performance is correlated with the largest interruption to the application, even if the probability of such an interruption on a single process is extremely small. We demonstrate that synchronizing the noise can significantly reduce its negative influence.
机译：我们研究了操作系统噪声，我们将其确定为并行应用程序中缺乏同步性的主要原因之一。通过使用微基准测试，我们测量了几种现代平台上的噪声，发现即使采用通用操作系统，如果采取某些预防措施，噪声也可能受到限制。然后，我们将人为产生的噪声注入大规模并行系统中，并测量其对集体操作性能的影响。我们的实验表明，在极端规模的平台上，即使在单个进程中发生这种中断的可能性非常小，性能也与应用程序的最大中断相关。我们证明，同步噪声可以大大减少其负面影响。

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  • 来源
    《Cluster Computing》 |2008年第1期|3-16|共14页
  • 作者

    Pete Beckman; Kamil Iskra; Kazutomo Yoshii; Susan Coghlan; Aroon Nataraj;

  • 作者单位

    Mathematics and Computer Science Division Argonne National Laboratory 9700 South Cass Avenue Argonne IL 60439 USA;

    Mathematics and Computer Science Division Argonne National Laboratory 9700 South Cass Avenue Argonne IL 60439 USA;

    Mathematics and Computer Science Division Argonne National Laboratory 9700 South Cass Avenue Argonne IL 60439 USA;

    Mathematics and Computer Science Division Argonne National Laboratory 9700 South Cass Avenue Argonne IL 60439 USA;

    Department of Computer and Information Science University of Oregon Eugene OR 97403 USA;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Microbenchmark; Noise; Petascale; Synchronicity;

    机译：微基准;噪声;皮尺度;同步性;

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