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Physical Design Oriented DRAM Neighborhood Pattern Sensitive Fault Testing

机译:物理设计导向DRAM邻域图案敏感故障测试

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Although the Neighborhood Pattern Sensitive Fault (NPSF) model is recognized as a high quality fault model for memory arrays, the excessive test application time cost associated with it, compared to other fault models, restricts its wide adoption for memory testing. In this work we exploit the physical design (layout) of folded DRAM memory arrays to introduce a new neighborhood type for NPSF testing and a pertinent test and locate algorithm. This algorithm reduces drastically the test application time (about 58% with respect to the well known Type-1 neighborhood) aiming to make the NPSF model also a cost attractive choice. In addition, we introduce the Neighborhood Word-Line Sensitive Fault model and the corresponding test algorithm to cover those faults along with NPSFs, achieving test application time cost reduction from 33% to 41%, depending on various assumptions, with respect to the Type-1 neighborhood.
机译:尽管邻域模式敏感故障(NPSF)模型被识别为存储器阵列的高质量故障模型,但与其他故障模型相比,与其相关的过度测试应用时间成本限制了其广泛采用内存测试。在这项工作中,我们利用折叠DRAM存储器阵列的物理设计(布局),为NPSF测试和相关测试和定位算法引入新的邻域类型。该算法急剧上减少了测试应用时间(关于众所周知的1型邻域约58%),其旨在使NPSF模型成为成本吸引力的选择。此外,我们介绍了邻域字线敏感的故障模型和相应的测试算法,以涵盖这些故障以及NPSFS,根据各种假设,实现从33%到41%的测试施用时间成本降低,具体取决于类型 - 1邻居。

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