粘结前TSV缺陷的诊断测试

Bei Zhang, V. Agrawal
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引用次数: 12

摘要

通过硅孔(TSV)的键合前测试和缺陷识别对于保证三维堆叠器件的成品率至关重要。基于最近发表的一种键前TSV探测技术,本文提出了一种ILP(整数线性规划)模型来生成键前TSV测试的近最优会话集。我们的模型生成的会话在TSV网络中识别有缺陷的TSV,具有与其他可用的启发式方法相同的能力,但始终减少了测试时间。结果表明,在一个11-TSV网络中,ILP模型可以将键前TSV测试时间减少38.2%,以精确定位最多两个故障TSV。减少预粘接TSV测试时间有助于降低3D堆叠器件的制造成本。该ILP模型具有较低的复杂性,使用商业求解器进行示例演示只需不到40秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic Tests for Pre-bond TSV Defects
Pre-bond testing and defect identification of through silicon via (TSV) is extremely important for yield assurance of 3D stacked devices. Based on a recently published pre-bond TSV probing technique, this paper proposes an ILP (integer linear programming) model to generate near-optimal set of sessions for pre-bond TSV test. The sessions generated by our model identify defective TSVs in a TSV network with the same capability as that of other available heuristic methods, but with consistently reduced test time. The ILP model is shown to reduce the pre-bond TSV test time by 38.2% for pinpointing up to two faulty TSVs in an 11-TSV network. Reducing prebond TSV test time helps reduce the manufacturing cost of 3D stacked devices. This ILP model has low complexity and an example demonstration using a commercial solver takes less than 40 seconds.
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