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Effective logic self repair based on extracted logic clusters

机译:基于提取逻辑集群的有效逻辑自修复

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Due to predictions and first experiences with large-scale integrated systems based on nano-size features, fault tolerance and eventually even self repair have become important technologies for the implementation of long-time dependable systems. While memory self test and self-repair is state-of-the-art in system design, logic in-system repair seems to be a much more challenging problem, due to the irregular structure of logic. The paper describes a concept of logic self repair, which gains effectiveness by extracting regular sub-circuits from arbitrary logic net lists.
机译:由于预测和基于纳米尺寸特征的大规模集成系统的首次经验,容错和最终即使是自我修复已经成为实现长期可靠系统的重要技术。 虽然内存自检和自我修复是在系统设计中最先进的,但由于逻辑的不规则结构,逻辑系统修复似乎是一个更具挑战性问题。 本文描述了逻辑自修复的概念,通过从任意逻辑网列表中提取常规子电路来获得有效性。

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