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Fault injection experiment results in space borne parallel application programs

机译:故障注入实验结果在星载并行应用程序中

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Development of the REE Commercial-Off-The-Shelf (COTS) based space-borne supercomputer requires a detailed knowledge of system behavior in the presence of Single Event Upset (SEU) induced faults. When combined with a hardware radiation fault model and mission environment data in a medium grained system model, experimentally obtained fault behavior data can be used to: predict system reliability, availability and performance; determine optimal fault detection methods and boundaries; and define high ROI fault tolerance strategies. The REE project has developed a fault injection suite of tools and a methodology for experimentally determining system behavior statistics in the presence of application level SEU induced transient faults. Initial characterization of science data application code for an autonomous Mars Rover geology application indicates that this code is relatively insensitive to SEUs and thus can be made highly immune to application level faults with relatively low overhead strategies.
机译:基于REE商业现货(COTS)的太空超级计算机的开发需要在出现单事件翻转(SEU)诱发的故障的情况下对系统行为的详细了解。与中等粒度系统模型中的硬件辐射故障模型和任务环境数据结合使用时,通过实验获得的故障行为数据可用于:预测系统可靠性,可用性和性能;确定最佳的故障检测方法和界限;并定义高ROI容错策略。 REE项目开发了故障注入工具套件和方法,用于在存在应用级SEU引起的瞬态故障的情况下通过实验确定系统行为统计信息。自主的Mars Rover地质应用程序的科学数据应用程序代码的初始特征表明,该代码对SEU相对不敏感,因此可以使用较低的开销策略使其对应用程序级故障具有高度的免疫力。

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