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A STATISTICAL METHODOLOGY FOR MODELING AND ANALYSIS OF PATH DELAY FAULTS IN VLSI CIRCUITS

机译:VLSI电路中路径延迟故障建模与分析的统计方法

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Due to the rapid development of semiconductor technology, the complexity of VLSI circuits has dramatically increased. Testing such circuits is becoming a severe problem. With the increased densities of integrated circuits, several different types of faults can occur. Faults in digital circuits which result from random defects can introduce DC (stuck-at) faults as well as AC (delay) faults. Previous work in statistical modeling and analysis for delay fault testing generally assumes that at most a single delay fault can occur along any given path in the circuit under test (Shelly, J. H. and Trayon, D. R., Statistical techniques of timing verification. In Proc. 20th Design Automation Conf., 1983, pp. 396—402; Tendokar, N. N., Analysis of timing failures due to random AC defects in VLSI circuits. In Proc. 22nd Design Automation Conf., 1985, pp. 709-714; Park, E. S., Mercer, M. R. and Williams, T. W., A statistical model for delay fault testing. IEEE Design and Test of Computers, 1989, February, 45-55). In this paper we investigate the statistical effect of multiple delay faults along any path in a circuit under test, and predict the path delay fault probabilities as well as the maximum number of path delay faults for both combinational and sequential benchmark circuits. We begin with the development of a statistical model for path delay faults in VLSI circuits (Hamad, M. and Landis, D., A statistical model for path delay faults in VLSI circuits. In Proc. IEEE South East Conf., April 1996, pp. 388-392) which takes into account multiple delay faults along any signal path. We define and compute the path delay fault probabilities for all paths in a circuit; the single fault assumption is only a special case of our path delay fault model. Furthermore, we demonstrate how our statistical model is used to predict such important information as the maximum number of path delay faults in a circuit. Finally, we show that when multiple faults are considered during circuit analysis, the path delay fault probability, pp, and not the delay defect probability, p, should be used in the evaluation of system parameters such as statistical delay fault coverage, yield, and AC quality level.
机译:由于半导体技术的飞速发展,VLSI电路的复杂性急剧增加。测试这样的电路正成为一个严重的问题。随着集成电路密度的增加,可能会发生几种不同类型的故障。由随机缺陷引起的数字电路故障会引入DC(卡死)故障和AC(延迟)故障。关于延迟故障测试的统计建模和分析的先前工作通常假设被测电路中的任何给定路径上最多可能出现单个延迟故障(Shelly,JH和Trayon,DR,时序验证的统计技术。Proc。20th Design Automation Conf。,1983年,第396-402页; NN,Tendokar,NN,VLSI电路中由于随机AC缺陷引起的时序故障分析,Proc。22nd Design Automation Conf。,1985年,第709-714页; Park,ES ,Mercer,MR和Williams,TW,延迟故障测试的统计模型(IEEE设计与计算机测试,1989年2月,45-55)。在本文中,我们研究了被测电路中任意路径上多个延迟故障的统计影响,并预测了组合基准和顺序基准电路的路径延迟故障概率以及最大路径延迟故障数。我们首先开发VLSI电路中路径延迟故障的统计模型(Hamad,M.和Landis,D.,VLSI电路中路径延迟故障的统计模型。在Proc。IEEE South East Conf。,1996年4月, pp。388-392),其中考虑了沿任何信号路径的多次延迟故障。我们定义并计算电路中所有路径的路径延迟故障概率;单个故障假设只是我们的路径延迟故障模型的特例。此外,我们演示了如何使用统计模型来预测重要信息,例如电路中最大路径延迟故障数。最后,我们表明,在电路分析过程中考虑多个故障时,应使用路径延迟故障概率pp而不是延迟缺陷概率p来评估系统参数,例如统计延迟故障覆盖率,良率和故障率。 AC质量等级。

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