Physical design oriented DRAM Neighborhood Pattern Sensitive Fault testing

Yiorgos Sfikas, Y. Tsiatouhas
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引用次数: 5

Abstract

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.
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面向DRAM邻域模式敏感故障测试的物理设计
虽然邻域模式敏感故障(NPSF)模型被认为是一种高质量的内存阵列故障模型,但与其他故障模型相比,它带来的测试应用时间成本过高,限制了其在内存测试中的广泛应用。在这项工作中,我们利用折叠DRAM存储阵列的物理设计(布局)来引入一种用于NPSF测试的新邻域类型和相关的测试和定位算法。该算法极大地减少了测试应用时间(相对于众所周知的Type-1邻域,大约减少了58%),旨在使NPSF模型成为一个具有成本吸引力的选择。此外,我们引入了邻域词线敏感故障模型和相应的测试算法来覆盖这些故障以及npsf,根据不同的假设,相对于Type-1邻域,测试应用时间成本从33%降低到41%。
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