RegionTrack

Author:

Ma Xiaoxue1ORCID,Wu Shangru1,Pobee Ernest1,Mei Xiupei1,Zhang Hao1,Jiang Bo2,Chan Wing-Kwong1

Affiliation:

1. City University of Hong Kong

2. Beihang University

Abstract

Atomicity is a correctness criterion to reason about isolated code regions in a multithreaded program when they are executed concurrently. However, dynamic instances of these code regions, called transactions , may fail to behave atomically, resulting in transactional atomicity violations. Existing dynamic online atomicity checkers incur either false positives or false negatives in detecting transactions experiencing transactional atomicity violations. This article proposes <monospace>RegionTrack</monospace>. <monospace>RegionTrack</monospace> tracks cross-thread dependences at the event, dynamic subregion, and transaction levels. It maintains both dynamic subregions within selected transactions and transactional happens-before relations through its novel timestamp propagation approach. We prove that <monospace>RegionTrack</monospace> is sound and complete in detecting both transactional atomicity violations and non-serializable traces. To the best of our knowledge, it is the first online technique that precisely captures the transitively closed set of happens-before relations over all conflicting events with respect to every running transaction for the above two kinds of issues. We have evaluated <monospace>RegionTrack</monospace> on 19 subjects of the DaCapo and the Java Grande Forum benchmarks. The empirical results confirm that <monospace>RegionTrack</monospace> precisely detected all those transactions which experienced transactional atomicity violations and identified all non-serializable traces. The overall results also show that <monospace>RegionTrack</monospace> incurred 1.10x and 1.08x lower memory and runtime overheads than <monospace>Velodrome</monospace> and 2.10x and 1.21x lower than <monospace>Aerodrome</monospace>, respectively. Moreover, it incurred 2.89x lower memory overhead than <monospace>DoubleChecker</monospace>. On average, <monospace>Velodrome</monospace> detected about 55% fewer violations than <monospace>RegionTrack</monospace>, which in turn reported about 3%–70% fewer violations than <monospace>DoubleChecker</monospace>.

Funder

the CityU MF_EXT

NSFC of China

the GRF of HKSAR Research Grants Council

the HKSAR ITF

the CityU SRG

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference58 articles.

1. RegionTrack. https://github.com/LittleSnow321/RegionTrack-v. RegionTrack. https://github.com/LittleSnow321/RegionTrack-v.

2. The Jikes Research Virtual Machine project: Building an open-source research community

3. A practical evaluation of spectrum-based fault localization

4. Jikes RVM 3.1.3. http://www.jikesrvm.org/. Jikes RVM 3.1.3. http://www.jikesrvm.org/.

Cited by 7 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3