arXiv Open Access 2020

Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems

Weidong Wang Wangda Luo

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Abstrak

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.

Topik & Kata Kunci

cs.DC

Penulis (2)

Weidong Wang

Wangda Luo

Format Sitasi

APA MLA BibTeX

Wang, W., Luo, W. (2020). Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems. https://arxiv.org/abs/2011.01419

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓