Estimating the Impact of External Interference on Application Performance

Estimating the Impact of External Interference on Application Performance
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估计外部干扰对应用程序性能的影响

DOI:
10.1007/978-3-319-96983-1_4
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Wolf F.
Wolf F.
中科院分区:
--
文献类型:
--
作者:
Shah A;Müller M;Wolf F.

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HPC集群上应用程序的挂钟执行时间通常受到运行到运行的变化的影响,这通常是由并发运行的作业的外部干扰造成的。由于从受影响作业的角度来看,这种干扰是不规则的,因此性能分析人员不认为它是应用程序执行的固有部分,这就是为什么他们希望在测量执行时间时将其排除在外。但是,如果在作业运行期间至少有一个干扰事件发生的可能性足够高,那么仅仅重复运行几次并选择最快的运行并不能保证测量不受外部影响。在本文中,我们提出了一种新的方法来估计零星和高影响干扰对批量同步MPI应用的影响。基于几个实际基准的评估表明,基于单次运行就可以估计干扰的影响。
The wall-clock execution time of applications on HPC clusters is commonly subject to run-to-run variation, often caused by external interference from concurrently running jobs. Because of the irregularity of this interference from the perspective of the affected job, performance analysts do not consider it an intrinsic part of application execution, which is why they wish to factor it out when measuring execution time. However, if chances are high enough that at least one interference event strikes while the job is running, merely repeating runs several times and picking the fastest run does not guarantee a measurement free of external influence. In this paper, we present a novel approach to estimate the impact of sporadic and high-impact interference on bulk-synchronous MPI applications. An evaluation with several realistic benchmarks shows that the impact of interference can be estimated already based on a single run.
DOI: 10.1145/2503210.2503247
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