REDO-random excitation and deterministic observation-first commercial experiment

M. Grimaila, Sooryong Lee, Jennifer Dworak, K. Butler, Bret A. Stewart, H. Balachandran, B. Houchins, Vineet Mathur, Jaehong Park, Li-C. Wang, M. R. Mercer
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引用次数: 126

Abstract

For many years, non-target detection experiments have been simulated by using AND/OR bridges or gross delay faults as surrogates. For example, the defective part level can be estimated based upon surrogate detection when test patterns target stuck-at faults in the circuit. For the first time, test pattern generation techniques that attempt to maximize non-target defect detection have been used to test a real, 100% scanned, commercial chip consisting of 75 K logic gates. In this experiment, the defective part level for REDO-based patterns was 1,288 parts per million lower than that achieved by DC stuck-at based patterns generated using today's state of the art tools and techniques.
随机激励与确定性观测先行商业实验
多年来,非目标检测实验都是用AND/OR桥或总延迟故障作为替代。例如,当测试模式针对电路中的卡在故障时,可以基于替代检测来估计缺陷部件的水平。第一次,试图最大化非目标缺陷检测的测试模式生成技术已经被用于测试一个真实的、100%扫描的、由75 K逻辑门组成的商业芯片。在这个实验中,基于redo的模式的缺陷部件水平比使用当今最先进的工具和技术生成的基于DC卡滞的模式所达到的低1288 ppm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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