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并行程序错误调试技术研究综述

戴卓方^1,2,3, 张为华^1,2,3

(1.复旦大学软件学院, 上海 201203;2.上海市数据科学重点实验室, 上海 201203;3.复旦大学并行处理研究所, 上海 201203)

Survey and Analysis of Debugging Concurrecy Bug

DAI Zhuo-Fang^1,2,3, ZHANG Wei-Hua^1,2,3

(1.Software School, Fudan University, Shanghai 201203, China;2.Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China;3.Parallel Processing Institute, Fudan University, Shanghai 201203, China)

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本文已被：浏览 1843次下载 5509次
Received:March 04, 2014 Revised:March 31, 2014

中文摘要: 随着多核设备的普及，主流软件系统的构建模式已经由单线程串行转为多线程的并行方式. 然而，由于并行程序的不确定性，使得调试并行程序错误要比串行程序的错误困难很多. 因此，如何高效地调试并行程序错误成为了亟待解决的问题. 对并行错误调试技术做了全面的研究与分析. 在此基础上，进一步讨论了不同调试技术的优劣，也对并行调试技术可能的发展方向进行展望.

中文关键词: 多核设备并行程序调试技术错误检测测试调度

Abstract:The popularity of multiple-core devices has made parallel programming a necessity to harness the abundant hardware resources. However, due to the non-determinism of parallel software, writing robust parallel software is notoriously hard. Therefore, how to debug concurrency bugs efficiently has become an issue that needs to be urgently deal with. In this paper, we have surveyed the parallel debugging technologies systematically. Further, based on the survey, we have made classifications and comparisons. At last, we have presented the prospects of the possible development direction of concurrency bug debugging approaches.

keywords: multicore parallel software concurrency bug debugging bug detection test schedule

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基金项目:国家自然科学基金（6137081）；国家高技术研究发展计划（863）（2012AA010901）

引用文本：
戴卓方,张为华.并行程序错误调试技术研究综述.计算机系统应用,2014,23(10):1-10
DAI Zhuo-Fang,ZHANG Wei-Hua.Survey and Analysis of Debugging Concurrecy Bug.COMPUTER SYSTEMS APPLICATIONS,2014,23(10):1-10

Author Name	Affiliation
DAI Zhuo-Fang	Software School, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China Parallel Processing Institute, Fudan University, Shanghai 201203, China
ZHANG Wei-Hua	Software School, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China Parallel Processing Institute, Fudan University, Shanghai 201203, China

Author Name	Affiliation
DAI Zhuo-Fang	Software School, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China Parallel Processing Institute, Fudan University, Shanghai 201203, China
ZHANG Wei-Hua	Software School, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China Parallel Processing Institute, Fudan University, Shanghai 201203, China