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Predicting robustness against transient faults of MPI based programs

机译:预测针对MPI程序的瞬时故障的鲁棒性

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The evaluation of a program's behaviour in the presence of transient faults is often a very time consuming work. In order to achieve significant data, thousands of executions are required and each execution will have the significant overhead of the fault injection environment. A previously published methodology reduced significantly the time needed to evaluate the robustness of a program execution by exhaustively analysing its execution trace instead of using fault injection. In this paper we present a further improvement in the evaluation time of parallel programs robustness against transient faults by combining this methodology with PAS2P - a method that strives to describe an application based on its message-passing activity. This combination allowed us to predict the robustness of larger parallel programs, reducing in some cases by more than 20 times the time needed to calculate the robustness while obtaining a robustness prediction error of less than 4%.
机译:在存在瞬时故障的情况下,对程序行为的评估通常是非常耗时的工作。为了获得大量数据,需要执行数千次,并且每次执行都将带来故障注入环境的大量开销。先前发布的方法通过详尽地分析程序的执行轨迹而不是使用故障注入,大大减少了评估程序执行的鲁棒性所需的时间。在本文中,我们通过将这种方法与PAS2P结合起来,提出了一种针对瞬态故障的并行程序鲁棒性评估时间的进一步改进,PAS2P是一种基于消息传递活动力图描述应用程序的方法。这种组合使我们能够预测大型并行程序的鲁棒性,在某些情况下,将计算鲁棒性所需的时间减少了20倍以上,同时获得了小于4%的鲁棒性预测误差。

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