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.
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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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