DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing

Naser Ezzati-Jivan, Quentin Fournier, M. Dagenais, A. Hamou-Lhadj
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引用次数: 5

Abstract

This paper addresses the challenge of understanding the waiting dependencies between the threads and hardware resources required to complete a task. The objective is to improve software performance by detecting the underlying bottlenecks caused by system-level blocking dependencies. In this paper, we use a system level tracing approach to extract a Waiting Dependency Graph that shows the breakdown of a task execution among all the interleaving threads and resources. The method allows developers and system administrators to quickly discover how the total execution time is divided among its interacting threads and resources. Ultimately, the method helps detecting bottlenecks and highlighting their possible causes. Our experiments show the effectiveness of the proposed approach in several industry-level use cases. Three performance anomalies are analysed and explained using the proposed approach. Evaluating the method efficiency reveals that the imposed overhead never exceeds 10.1%, therefore making it suitable for in-production environments.
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使用等待依赖图和软件跟踪来定位多核应用程序中的性能瓶颈
本文解决了理解完成任务所需的线程和硬件资源之间的等待依赖关系的挑战。目标是通过检测由系统级阻塞依赖关系引起的底层瓶颈来提高软件性能。在本文中,我们使用系统级跟踪方法来提取等待依赖图,该图显示了任务执行在所有交叉线程和资源之间的分解。该方法允许开发人员和系统管理员快速发现如何在交互线程和资源之间分配总执行时间。最终,该方法有助于检测瓶颈并突出显示其可能的原因。我们的实验证明了所提出的方法在几个行业级用例中的有效性。使用该方法分析和解释了三种性能异常。评估该方法的效率表明,强加的开销从未超过10.1%,因此使其适合于生产环境。
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