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Measuring the Distribution of Metastable Upsets over Time

机译:测量随着时间的推移测量亚稳悬起的分布

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As modern ASICs comprise an increasing number of independently clocked subsystems that need to interact, the accurate reliability assessment of synchronizers becomes crucial. Traditionally the reliability of a synchronizer is characterized by the mean time between upsets (MTBU), and the relevant flip-flop parameters are specified in a way to support MTBU calculation. In this paper we claim that actually a deeper insight into the distribution of upsets over time is needed in order to make a reasonable prediction in the range of the high reliability values that are generally targeted. We present a measurement concept that appropriately extends state-of-the-art approaches so as to allow for an experimental assessment of the upset distribution over time. In this way the distribution function can be studied, and in particular the probability of upsets with low temporal distance -- which is the relevant one for high reliability -- can be identified. We implement our concept on three different FPGA platforms and present the selected results. The distribution function we obtain indicates that the assumption of a uniform or standard normal distribution, which one might be tempted to imply for lack of better information, is definitely not generally useful.
机译:随着现代ASIC的越来越多的独立时钟子系统,需要交互,同步器的准确可靠性评估变得至关重要。传统上,同步器的可靠性在于upsets(MTBU)之间的平均时间,并且以支持MTBU计算的方式指定相关的触发器参数。在本文中,我们声称,需要更深入地了解扰乱随时间的分布,以便在通常靶向的高可靠性值的范围内进行合理的预测。我们介绍了一种测量概念,其适当地扩展最先进的方法,以便允许随着时间的推移进行镦粗分布的实验评估。以这种方式,可以研究分布函数,特别是具有低时间距离的扰动的概率 - 这是可以识别高可靠性的相关概率。我们在三个不同的FPGA平台上实施我们的概念,并呈现所选结果。我们获得的分布功能表明,假设均匀或标准正态分布,其中一个人可能被诱惑暗示缺乏更好的信息,绝对不是有用的。

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