Measurement Point Selection Algorithms for Testing Power TSVs

K. Hachiya
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Abstract

The author proposed a method to detect the open defect of power TSV in 3D-IC by measuring the resistance between power pads directly below the TSVs (Through Silicon Vias). The method seeks the measurement point with the maximum diagnostic performance by time-consuming exhaustive search (ES). This paper proposes applying hill climbing (HC) or exhaustive neighborhood search (ENS) to accelerate the search. The experiment shows that HC achieves about 11 times speedup and ENS achieves ten times speedup over ES with negligible diagnostic performance degradation. Additional speedup is achieved by reusing diagnostic performance calculated for the other pair of measurement points with the same TSV arrangement around them and the same distance between them.
测试功率tsv的测点选择算法
作者提出了一种检测3D-IC中电源TSV开路缺陷的方法,即通过测量TSV正下方的电源衬垫之间的电阻(Through Silicon Vias)。该方法通过耗时的穷举搜索(ES)寻找具有最大诊断性能的测量点。本文提出采用爬坡(HC)或穷举邻域搜索(ENS)来加快搜索速度。实验表明,HC比ES加速约11倍,ENS加速约10倍,诊断性能下降可以忽略不计。另外的加速是通过重用为其他对测量点计算的诊断性能来实现的,这些测量点周围有相同的TSV排列,并且它们之间的距离相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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