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A Methodology to Calculate a Program's Robustness against Transient Faults

机译:计算程序对瞬态故障的鲁棒性的方法

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Computer chips implementation technologies are evolving to obtain more performance. The side effect of such a scenario is that processors are less robust than ever against transient faults. As on-chip solutions are expensive or tend to degrade processor performance, the efforts to deal with these transient faults in higher levels are increasing. Software based fault tolerance approaches against transient faults often use fault injection experiments to evaluate the behavior of applications with and without their fault detection or fault tolerance proposals. Those fault injection experiments consumes lots of CPU time by running or simulating the application being evaluated as many times as necessary to obtain a reasonable valid statistical approximation. This paper proposes the concept of a program's robustness against transient faults and presents a methodology for exhaustively calculate this robustness based on program's execution trace over an architecture and on information about the used architecture. The presented approach, besides calculating a precise robustness, accomplishes its work faster than using fault injection experiments with ±2% of confidence interval.
机译:计算机芯片实现技术正在不断发展,以获得更多性能。这种场景的副作用是处理器比瞬态断层抗坏的更稳健。由于片上解决方案昂贵或倾向于降低处理器性能,因此在更高级别中处理这些瞬态故障的努力正在增加。基于软件对瞬态故障的容错方法通常使用故障注入实验来评估应用程序的行为,而无需其故障检测或容错提案。这些故障注射实验通过在必要时运行或模拟评估的应用程序来消耗大量的CPU时间,以获得合理的有效统计近似。本文提出了程序对瞬态故障的鲁棒性的概念,并提出了一种根据架构上的程序的执行跟踪来彻底计算这种稳健性的方法,以及关于二手体系结构的信息。除了计算精确的鲁棒性之外,呈现的方法比使用零用间隔的±2%的故障注射实验更快地完成工作。

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