基于门固有故障(GIF)模型的非、标准和随机访问扫描(RAS) RTL ATPG流

Tobias Strauch
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引用次数: 0

摘要

在生产测试中使用功能测试模式的想法在过去几年中得到了越来越多的关注。我们认为,门固有故障(GIF)模型可以为这一领域增加实质性的价值。GIF模型允许合成独立的RTL ATPG在门级上实现100%的故障卡滞覆盖率。本文提出了一种基于GIF模型的RTL ATPG流。内存使用峰值可以调整。然后将在RTL上生成的测试集应用于3个基本不同的测试结构。本文演示了使用多周期捕获测试集的好处,该测试集可以使用GIF模型在RTL上有效地生成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An RTL ATPG Flow Using the Gate Inherent Fault (GIF) Model Applied on Non-, Standard- and Random-Access-Scan (RAS)
The idea to use functional test pattern for production tests has been gaining more and more attention throughout the last years. We argue, that the gate inherent fault (GIF) model can add substantial value to this field. The GIF model allows synthesis independent RTL ATPG which achieves 100% stuck-at fault coverage on gate level. This paper proposes an RTL ATPG flow based on the GIF model. The peak memory usage can be adjusted. The test sets generated on RTL are then applied on 3 essential different test structures. The paper demonstrates the benefits of using multi-cycle-capture test sets which can efficiently be generated on RTL using the GIF model.
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