On the reconfiguration of memory arrays containing clustered faults

D. Blough
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引用次数: 24

Abstract

Reconfiguration of memory arrays using spare rows and spare columns, a useful technique for yield enhancement of memories, is considered under a compound probabilistic model that shows clustering of faults. It is shown that the total number of faulty cells that can be tolerated when clustering occurs is larger than when faults are independent. It is shown that an optimal solution to the reconfiguration problem can be found in polynomial time for a special case of the clustering model. Efficient approximation algorithms are given for the situation in which faults appear in clusters only and the situation in which faults occur both in clusters and singly. It is shown through simulation that the computation time required by this algorithm to repair large arrays containing a significant number of clustered faults is small.<>
包含集群故障的内存阵列重构研究
在故障聚类的复合概率模型下,利用备用行和备用列重构存储器阵列是提高存储器成品率的一种有效方法。结果表明,当集群发生时,可容忍的故障细胞总数大于故障独立时的故障细胞总数。结果表明,对于聚类模型的一种特殊情况,重构问题的最优解可以在多项式时间内找到。给出了故障只出现在聚类中的情况和故障同时出现在聚类和单独出现的情况下的有效逼近算法。仿真结果表明,对于包含大量集群故障的大型阵列,该算法修复所需的计算时间较小。
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