隐性延迟缺陷的逻辑故障诊断

S. Holst, M. Kampmann, Alexander Sprenger, Jan Dennis Reimer, S. Hellebrand, H. Wunderlich, Xiaoqing Weng
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引用次数: 0

摘要

隐藏延迟缺陷(hdd)是在标称捕获时间通过所有高速测试的小延迟缺陷。它们是潜在缺陷的重要指标,这些缺陷会导致早期失效和老化问题,尤其是在自主和医疗应用中。筛选hdd的一种有效方法是使用快于速度测试(FAST)来观察敏化非关键路径的输出,这些路径预计在标称捕获时间之前稳定。为了提高当前和未来设计的可靠性,使用逻辑诊断了解hdd的数量是很重要的。我们提出了第一个逻辑故障诊断技术,该技术能够通过分析FAST产生的故障日志来识别hdd。即使使用积极的FAST测试,hdd也只产生很少的失败测试响应位。为了克服这一严峻的挑战,我们提出了新的回溯和响应匹配方法,即使在非常有限的故障数据量下也能产生高诊断成功率。我们的HDD诊断方法的性能和可扩展性通过大型基准电路的故障注入活动进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logic Fault Diagnosis of Hidden Delay Defects
Hidden delay defects (HDDs) are small delay defects that pass all at-speed tests at nominal capture time. They are an important indicator of latent defects that lead to early-life failures and aging problems that are serious especially in autonomous and medical applications. An effective way to screen out HDDs is to use Faster-than-At-Speed Testing (FAST) to observe outputs of sensitized non-critical paths which are expected to be stable earlier than nominal capture time.To improve the reliability of current and future designs, it is important to learn about the population of HDDs using logic diagnosis. We present the very first logic fault diagnosis technique that is able to identify HDDs by analyzing fail logs produced by FAST.Even with aggressive FAST testing, HDDs generate only very few failing test response bits. To overcome this severe challenge, we propose new backtracing and response matching methods that yield high diagnostic success rates even with very limited amount of failure data. The performance and scalability of our HDD diagnosis method is validated using fault injection campaigns with large benchmark circuits.
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