A March-based fault location algorithm for static random access memories

V. Vardanian, Y. Zorian
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引用次数: 16

Abstract

A March-based fault location algorithm is proposed for the repair of word-oriented static RAMs. A March CL algorithm of complexity 12N, N is the number of memory words, is defined for fault detection and partial diagnosis. A 3N or 4N March-like algorithm is used for location of the aggressor words of inter-word state, idempotent, inversion, write-disturb coupling faults (CF). Then another March-like algorithm of complexity 9(1+logB), B is the number of bits in the word, is applied to locate the aggressor bit in the aggressor word. Finally, a March algorithm of complexity 6(1+logB)N is used to detect and locate intra-word stuck-at, transition faults, as well as CFs. The proposed algorithm has higher fault location ability and lower time complexity than other known algorithms developed for fault location in SRAMs.
基于march的静态随机存储器故障定位算法
针对面向字的静态ram故障修复,提出了一种基于march的故障定位算法。定义了一种复杂度为12N (N为存储字数)的March CL算法,用于故障检测和部分诊断。针对字间状态、幂等、反转、写干扰耦合错误(CF)的干扰词,采用3N或4N类三月算法进行定位。然后,使用复杂度为9(1+logB)的另一种类似march的算法(B为单词中的位数)来定位单词中的侵略位。最后,使用复杂度为6(1+logB)N的March算法检测和定位词内卡滞、转换故障以及cf。该算法具有较高的故障定位能力和较低的时间复杂度。
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