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A Fast Redundancy Analysis Algorithm in ATE for Repairing Faulty Memories

机译:ATE中用于故障内存修复的快速冗余分析算法

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Testing memory and repairing faults have become increasingly important for improving yield. Redundancy analysis (RA) algorithms have been developed to repair memory faults. However, many RA algorithms have low analysis speeds and occupy memory space within automatic test equipment. A fast RA algorithm using simple calculations is proposed in this letter to minimize both the test and repair time. This analysis uses the grouped addresses in the faulty bitmap. Since the fault groups are independent of each other, the time needed to find solutions can be greatly reduced using these fault groups. Also, the proposed algorithm does not need to store searching trees, thereby minimizing the required memory space. Our experiments show that the proposed RA algorithm is very efficient in terms of speed and memory requirements.
机译:测试内存和修复故障对于提高良率变得越来越重要。已经开发了冗余分析(RA)算法来修复内存故障。但是,许多RA算法分析速度较慢,并且会占用自动测试设备中的存储空间。本文提出了一种使用简单计算的快速RA算法,以最大程度地减少测试和修复时间。此分析使用故障位图中的分组地址。由于故障组彼此独立,因此使用这些故障组可以大大减少找到解决方案所需的时间。而且,提出的算法不需要存储搜索树,从而最小化了所需的存储空间。我们的实验表明,提出的RA算法在速度和内存要求方面非常有效。

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