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arXiv · 2011.01419

Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems

Weidong Wang·Wangda Luo
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Abstract

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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Weidong Wang, Wangda Luo. 2020-11-03. Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems. https://arxiv.org/abs/2011.01419

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