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https://dx.doi.org/10.4230/dar...
Article . 2023
License: CC BY
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Determinacy Race Detector for Promises (Artifact)

Authors: Jin, Feiyang; Yu, Lechen;

Determinacy Race Detector for Promises (Artifact)

Abstract

Much of the past work on dynamic data-race and determinacy-race detection algorithms for task parallelism has focused on structured parallelism with fork-join constructs and, more recently, with future constructs. This paper addresses the problem of dynamic detection of data-races and determinacy-races in task-parallel programs with promises, which are more general than fork-join constructs and futures. We have introduced a dynamic data race detector, DRDP, to help examine task-parallelism programs with promises. DRDP is designed for the HCLIB parallel programming model and capable of pinpointing data races in a HCLIB program. In this artifact, we provide the race detector implementation and all benchmarks to help reproduce the reported results in the paper.

DARTS, Vol. 9, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023), pages 24:1-24:2

Country
Germany
Keywords

Software and its engineering → Software testing and debugging, Determinism, Software and its engineering → Software verification and validation, Software and its engineering → Software notations and tools, Race detection, Determinacy-race, Software and its engineering → Software creation and management, Software and its engineering → Software defect analysis, Promise, Software and its engineering → Concurrent programming languages, 004, Software and its engineering → General programming languages, ddc: ddc: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!
0
Average
Average
Average
Green