Fault Classification of the Error Detection Logic in the Blade Resilient Template
Fault Classification of the Error Detection Logic in the Blade Resilient Template
复制标题
刀片弹性模板错误检测逻辑的故障分类
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Alexandre M. Amory
中科院分区：
文献类型：
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作者：
F. Kuentzer;Alexandre M. Amory
弹性架构是一种很有前途的解决方案，可以消除由于工艺、电压和温度变化而增加的最坏情况时序裕度，提高系统性能，同时降低能耗。由于没有全局时钟，异步电路还可以提高能效和性能。最近提出的电路模板，称为刀片，利用异步和弹性技术的优势。然而，Blade在测试方面仍然存在挑战，这阻碍了其实际应用。本文采用单固定故障模型和传播延迟故障模型，对Blade的错误检测逻辑（EDL）模块的故障行为进行了评估。我们提出了一个故障分类的基础上观察到的影响，在整个电路操作，而在故障的存在。这种分类显示了假设三种不同的可测试性场景所获得的故障覆盖率，并且还显示了单个故障可以完全禁用EDL，从而禁用其恢复能力。所提出的分类可以在未来使用，以改善弹性架构的可测试性设计。
Resilient architectures emerged as a promising solution to remove worst-case timing margins added due to process, voltage and temperature variation, improving system performance while reducing energy consumption. Asynchronous circuits can also improve energy efficiency and performance due to the absence of a global clock. A recently proposed circuit template, called Blade, leverages the advantages of both asynchronous and resilient techniques. However, Blade still presents challenges in terms of testing, which hinder its practical application. This paper evaluates the fault behavior of the Error Detection Logic (EDL) block of Blade with single stuck-at or propagation delay fault models. We propose a fault classification based on the effects observed in the overall circuit operation while in the presence of a fault. This classification shows the obtained fault coverage assuming three different testability scenarios and it also shows that a single fault can entirely disable an EDL, disabling its resilience. The proposed classification can be used in the future to improve the design for testability of resilient architectures.