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A Field Analysis of System-level Effects of Soft Errors Occurring in Microprocessors used in Information Systems

机译:信息系统中使用的微处理器中发生的软误差的系统级效应的现场分析

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Soft errors due to alpha and cosmic particles are a growing reliability threat to information systems. In this work, a methodology is developed to analyze the effects of single event upsets (SEU) and obtain FIT rates for commercial microprocessors in live information systems. Our methodology is based on data collected from error logs and error traces of the information systems present globally in the field. We also compare the system effects of errors that are suspected to be due to SEUs as compared with non-SEU errors. Soft errors are further localized within specific microprocessor resources with the assistance of the machine check architecture. The analyzed field data represents a world-wide population of microprocessors installed in the field. In total, several thousands systems and thirty-six months of field data were analyzed. The methodology used in carrying out this field analysis is discussed in detail and results are presented.
机译:α和宇宙粒子引起的软误差是对信息系统的不断增长的可靠性威胁。在这项工作中,开发了一种方法来分析单个事件UPSET(SEU)的影响,并获得实况信息系统中的商业微处理器的拟合速率。我们的方法基于从全局中存在的信息系统的错误日志和错误迹线收集的数据。与非SEU错误相比,我们还比较怀疑被怀疑的错误的系统效果。在机器检查架构的帮助下,软错误在特定的微处理器资源内进一步本地化。分析的现场数据代表了安装在该领域的全球微处理器群体。共分析了几千个系统和三十六个月的现场数据。实施该现场分析的方法详细讨论并介绍了结果。

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