Efficient noise injection for exposing hidden data races-Reference-Cited by-同舟云学术

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Efficient noise injection for exposing hidden data races

Published:2019-10-22 Issue:1 Volume:76 Page:292-323
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Yu Misun^ORCID,Ma Yu-Seung,Bae Doo-Hwan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-019-03031-0.pdf

Reference59 articles.

1. Avros R, Dudka V, Křena B, Letko Z, Pluháčková H, Ur S, Vojnar T, Volkovich Z (2017) Boosted decision trees for behaviour mining of concurrent programmes. Concurr Comput: Pract Exp 29(21):1–21

2. Ball T, Burckhardt S, Coons KE, Musuvathi M, Qadeer S (2010) Preemption sealing for efficient concurrency testing. In: Proceedings of the 16th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, pp 420–434

3. Biswas S, Cao M, Zhang M, Bond MD, Wood BP (2017) Lightweight data race detection for production runs. In: Proceedings of the 26th International Conference on Compiler Construction, pp 11–21

4. Blackburn et al (2006) The DaCapo benchmarks: Java benchmarking development and analysis. In: Proceedings of the 21st Annual ACM SIGPLAN Conference on Object-oriented Programming Systems, Languages, and Applications, pp 169–190

5. Bond et al (2010) Pacer: proportional detection of data races. In: Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation, pp 255–268

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient and Accurate Mixed Dynamic Data Race Detection Method;2021 4th International Conference on Artificial Intelligence and Pattern Recognition;2021-09-24

2. Correction to: Efficient noise injection for exposing hidden data races;The Journal of Supercomputing;2020-01-02

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