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arXiv · 2404.19139

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection

Jaidev Shastri·Xiaoguang Wang·Basavesh Ammanaghatta Shivakumar·Freek Verbeek·Binoy Ravindran
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Abstract

Data race, a category of insidious software concurrency bugs, is often challenging and resource-intensive to detect and debug. Existing dynamic race detection tools incur significant execution time and memory overhead while exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A memory tag extension (MTE) based dynamic data race detection framework, emphasizing low compute and memory requirements while maintaining high accuracy and precision. HMTRace supports race detection in userspace OpenMP- and Pthread-based multi-threaded C applications. HMTRace showcases a combined f1-score of 0.86 while incurring a mean execution time overhead of 4.01% and peak memory (RSS) overhead of 54.31%. HMTRace also does not report false positives, asserting all reported races.

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Jaidev Shastri, Xiaoguang Wang, Basavesh Ammanaghatta Shivakumar, Freek Verbeek, Binoy Ravindran. 2024-04-29. HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection. https://arxiv.org/abs/2404.19139

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