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Helgrind+: An efficient dynamic race detector

Authors: Jannesari, A.; Bao, K.; Pankratius, V.; Tichy, W. T.;

Helgrind+: An efficient dynamic race detector

Abstract

Finding synchronization defects is difficult due to non-deterministic orderings of parallel threads. Current tools for detecting synchronization defects tend to miss many data races or produce an overwhelming number of false alarms. In this paper, we describe Helgrind+, a dynamic race detection tool that incorporates correct handling of condition variables and a combination of the lockset algorithm and happens-before relation. We compare our techniques with Intel Thread Checker and the original Helgrind tool on two substantial benchmark suites. Helgrind+ reduces the number of both false negatives (missed races) and false positives. The additional accuracy incurs almost no performance overhead.

Keywords

ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
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