A Loop Filtering Technique for Reducing Time Overhead of Dynamic Data Race Detection

Park, Se Won; Ha, Ok-Kyoon; Jun, Yong-Kee

doi:10.1109/dta.2015.18

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Filtering Techniques For Dynamic Data Race Detection1

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2016

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“…The filtering techniques exclude unnecessary monitoring of memory operations, such as read only operations and local variables, to reduce the dramatic overheads of the dynamic analysis and to insert minimal monitoring cods. In prior works, we presented two filtering techniques, Redundant Event Filtering (REF) [2] and Loop Region Filtering (LRF) [7] that can be applied to the implicit threading model such as OpenMP.…”

Section: Filtering Techniques For Dynamic Data Race Detectionmentioning

confidence: 99%

Empirical Comparison of Filtering Techniques for On-the-fly Data Race Detection in OpenMP Programs

Ha¹,

Heo²

2016

Advanced Science and Technology Letters

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It is a well-known that data races in implicit threading applications, such as OpenMP programs, are the most notorious class of concurrency bugs, because they may lead to unpredictable results of the program. The main drawback of on-the-fly data race detection techniques is the heavy additional overheads for analyzing every memory operations and thread operations, such as load, store, fork, and join. It is important to reduce the additional overheads for debugging the concurrency bug. This paper presents an empirical comparison of two filtering techniques which are applied to parallel programs with OpenMP directives for dynamic data race detection.

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Section: Filtering Techniques For Dynamic Data Race Detectionmentioning

confidence: 99%