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Visualization of Affect-Relations of Message Races for Debugging MPI Programs

机译:用于调试MPI程序的消息比赛的情感关系的可视化

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Detecting unaffected races is important for debugging MPI parallel programs, because unaffected races can cause the occurrence of affected races which do not need to be debugged. However, the previous techniques can not dis- cern unaffected races from affected races so that program- mers will be easily overwhelmed by the vast information of race detection. In this paper, we present a new visualiza- tion which lets programmers know which race is affected or not. For this, our technique checks whether any message racing toward a race is affected or not based on happen- before relation, and also checks which process influences a race during an execution. After the execution, it visualizes the affect-relations of the detected races. Therefore, our vi- sualization helps for programmers to effectively distinguish unaffected races from affected races, and to debug MPI par- allel programs.
机译:检测不受影响的赛族对于调试MPI并行程序很重要,因为未受影响的赛族可能导致受影响的比赛发生,这不需要调试。然而,以前的技术不能从受影响的比赛中挖掘不受影响的比赛,以便通过竞争检测的广泛信息很容易地淹没。在本文中,我们提出了一种新的可视化,让程序员知道哪种种族受到影响。为此,我们的技术检查是否存在对比赛的任何消息都受到影响或不基于发生在关系之前的影响,并且还在执行期间检查哪个过程影响比赛。执行后,它可视化检测到的比赛的影响关系。因此,我们的舞蹈化有助于程序员,以有效地区分从受影响的比赛中的不受影响的比赛,并调试MPI解析程序。

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