论文标题
OpenMP多线程系统中性能异常的心跳诊断
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
论文作者
论文摘要
本文介绍了有关OpenMP多线程应用程序性能异常的新型心跳诊断。首先，我们为OpenMP多线程应用程序设计注入心跳API。然后，我们利用心跳序列提取以前观察到的异常的特征。最后，我们采用了基于树的算法，即HSA，以识别诊断异常所需的功能。为了评估我们的框架，使用NAS并行NPB基准，EPCC OpenMP Micro-Benchmark Suite和Jacobi基准测试我们提出的方法的性能。
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.
