Multi-Transition Fault Model (MTFM) ATPG patterns towards achieving 0 DPPB on automotive designs

J. Corso, Saidapet Ramesh, K. Abishek, Ley Teng Tan, Chik Hooi Lew
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引用次数: 2

Abstract

After a continued analysis of more than a year to reduce DPPB on NXP automotive designs, it was observed that some subtle at-speed defects were not getting screened out using combination of traditional Stuck-At, Transition-Delay and Small-Delay-Defect based ATPG patterns. Traditional delay fault models for automatic test pattern generation target a single transition that propagates to the output(s) of a gate. Single Transition-Delay model finds the stimulus that can sensitize a transition on a port that, in presence of a delay defect, will result in the capture of incorrect state. Failure Analysis data confirmed that multiple transitions on inputs changed the timing of the outputs in a different way than a single transition, in the presence of subtle defect mechanisms in certain library cells. Multiple Input Switching (MIS) is a known STA modeling problem that can affect the timing of a gate under various conditions of load, slew, and temporal distance of signals at the inputs. In this paper, we present a new ATPG fault model that complements the traditional transition delay models and, a method to identify the stimuli required to expose these kinds of defects. The new patterns were first validated on the tester, resulting in proof of concept of new methodology. Later, at-speed Multi-Transition Fault Model (MTFM) ATPG patterns were released for multiple NXP AUTO designs and high-volume yield data from more than 9 million units confirmed unique fallout of at least 0.5ppm from the new MTFM topoff patterns. Also, MTFM based input stimuli comparison was done on limited set of library cells between MTFM and traditional Cell-Aware 2 Time-Frame UDFM based patterns. It was confirmed that only MTFM patterns produced the required multi-transitions through the inputs of the targeted cell instances in multiple designs.
针对汽车设计实现零DPPB的多过渡故障模型(MTFM) ATPG模式
经过一年多的持续分析,以减少恩智浦汽车设计的DPPB,我们观察到,使用传统的基于卡滞,过渡延迟和小延迟缺陷的ATPG模式的组合,一些微妙的高速缺陷并没有被筛选出来。用于自动测试模式生成的传统延迟故障模型以传播到门的输出的单个转换为目标。单过渡-延迟模型寻找能够敏感端口上的过渡的刺激,在存在延迟缺陷的情况下,将导致捕获不正确的状态。故障分析数据证实,在某些库单元中存在微妙的缺陷机制的情况下,输入上的多个转换以不同于单个转换的方式改变了输出的时间。多输入开关(MIS)是一个已知的STA建模问题,它会在负载、摆幅和输入信号的时间距离等各种条件下影响门的时序。在本文中,我们提出了一种新的ATPG故障模型,补充了传统的转换延迟模型,并提出了一种识别暴露这些缺陷所需的刺激的方法。新模式首先在测试人员上进行验证,从而证明了新方法的概念。随后,高速多过渡故障模型(MTFM) ATPG模式被发布到多个NXP AUTO设计中,来自900多万台单位的高产量数据证实,新的MTFM顶层模式的独特沉降至少为0.5ppm。此外,基于MTFM的输入刺激比较了MTFM和传统的基于Cell-Aware 2 Time-Frame UDFM模式在有限的库单元之间的差异。结果证实,在多个设计中,只有MTFM模式通过目标单元实例的输入产生所需的多转换。
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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