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Using Implications to Choose Tests Through Suspect Fault Identification

机译:通过可疑故障识别使用暗示来选择测试

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摘要

As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection techniques, including logic implication-based checker hardware, are capable of detecting at least some of these errors as they occur. However, recovery may be expensive, and the underlying problem may lead to multiple failures of a core over time. In this article, we will investigate the diagnostic capability of logic implications to identify possible failure locations when an error is detected online. We will then utilize this information to select a highly efficient test set that can be used to effectively test the identified suspect locations in both the failing core and in other identical cores in the system.
机译:随着电路继续按比例缩小到较小的特征尺寸,预计磨损和潜在缺陷会在现场引起越来越多的错误。在线错误检测技术(包括基于逻辑蕴涵的检查器硬件)能够检测出其中至少一些错误。但是,恢复可能会很昂贵,并且随着时间的流逝,潜在的问题可能会导致核心多次故障。在本文中,我们将研究逻辑含义的诊断能力,以在在线检测到错误时识别出可能的故障位置。然后,我们将利用此信息来选择高效的测试集,该测试集可用于有效测试系统中出现故障的核心和其他相同核心中的已识别可疑位置。

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