OpenMP多线程系统性能异常的心跳诊断
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
摘要：
针对OpenMP多线程应用程序的性能异常，提出了一种新的心跳诊断方法。首先，我们为OpenMP多线程应用程序设计注入的心跳API。然后，我们利用心跳序列来提取先前观察到的异常的特征。最后，我们采用一个基于树的算法，即HSA，以确定诊断异常所需的功能。为了评估我们的框架，NAS并行NPB基准测试，EPCC OpenMP微基准测试套件，和Jacobi基准测试我们提出的方法的性能。
英文摘要：
This paper presents a novel heartbeat diagnosis regarding performance anomaly for OpenMP multi-threaded applications. First, we design injected heartbeat APIs for OpenMP multi-threaded applications. Then, we leverage the heartbeat sequences to extract features of previously-observed anomalies. Finally, we adopt a tree-based algorithm, namely HSA, to identify the features that are required to diagnose anomalies. To evaluate our framework, the NAS Parallel NPB benchmark, EPCC OpenMP micro-benchmark suite, and Jacobi benchmark are used to test the performance of our approach proposed.
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