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    郑龙, 廖小飞, 吴松, 金海. 一种用于多线程程序性能分析的重放系统[J]. 计算机研究与发展, 2015, 52(1): 45-55. DOI: 10.7544/issn1000-1239.2015.20140105
    引用本文: 郑龙, 廖小飞, 吴松, 金海. 一种用于多线程程序性能分析的重放系统[J]. 计算机研究与发展, 2015, 52(1): 45-55. DOI: 10.7544/issn1000-1239.2015.20140105
    Zheng Long, Liao Xiaofei, Wu Song, Jin Hai. A Replay System for Performance Analysis of Multi-Threaded Programs[J]. Journal of Computer Research and Development, 2015, 52(1): 45-55. DOI: 10.7544/issn1000-1239.2015.20140105
    Citation: Zheng Long, Liao Xiaofei, Wu Song, Jin Hai. A Replay System for Performance Analysis of Multi-Threaded Programs[J]. Journal of Computer Research and Development, 2015, 52(1): 45-55. DOI: 10.7544/issn1000-1239.2015.20140105

    一种用于多线程程序性能分析的重放系统

    A Replay System for Performance Analysis of Multi-Threaded Programs

    • 摘要: 近年来,多线程程序中性能bug问题越来越突出.传统用于检测并发错误的记录/重放系统存在重放开销和执行时间不精确等问题,因此不适于对性能bug的研究.针对上述问题,提出了一种可用于多线程程序性能分析的重放系统——PerfPlay.首先,分析了用于程序性能分析时必要的程序信息;其次,基于程序执行轨迹,探讨了不同的重放策略,并提出了基于程序调度的重放策略,以保证重放系统的性能保真度;最后,基于提出的性能重放系统,进一步研究了经典的“线程间不必要锁竞争”所造成的性能问题.通过与传统的重放策略作比较,PerfPlay保证了重放系统的性能保证度.并经过案例研究,发现并进一步验证了若干真实的多线程程序性能问题.

       

      Abstract: In recent years, it is a hotspot for program analysis to detect performance bugs in multi-threaded applications. However, traditional record/replay systems focusing on concurrent anomalies have many limitations to tackle the issues of performance bugs, such as replay overhead and imprecision of replay-based execution time. To cope with the problems above, this paper proposes an improved replay system PerfPlay which can be used for the performance analysis of multi-threaded programs. To be specific, we first collect and analyze the requisite information for the program performance. Secondly, the different replay strategies are discussed and then we present a novel schedule-driven strategy to ensure the performance fidelity of replay system. Finally, we study the classical performance problem of “inter-thread unnecessary lock contention” under the framework of PerfPlay. Compared with the traditional replay strategies, our experimental results demonstrate the performance fidelity of PerfPlay. Through the case study, we find a few performance bugs in real-world and further verify the effectiveness of PerfPlay.

       

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