面向缺陷的细胞感知ATPG和工业细胞库与设计的故障仿真

F. Hapke, Rene Krenz-Baath, Andreas Glowatz, J. Schlöffel, H. Hashempour, S. Eichenberger, C. Hora, Dan Adolfsson
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引用次数: 75

摘要

对于更复杂的集成电路,工业界正面临越来越严格的质量要求。为了满足这些质量要求,我们需要改进缺陷覆盖率。本文提出了一种新的方法来显著增加由ATPG工具生成的测试模式的缺陷覆盖率。在ATPG过程中使用的故障模型得到了增强,可以直接针对基于布局的胞内故障。与之前的技术(如gate -穷举、N-Detect或Embedded-Multi-Detect)相比,这些技术对于现实世界的设计来说过于复杂,或者仅仅提高了检测细胞内缺陷的概率,新方法针对细胞内缺陷的实际根本原因。新提出的cell - aware -方法论已经在1671个库单元和10个实际工业设计中对90nm和65nm技术进行了评估,其中包含多达5000万个故障。实验结果表明,对于50mm2的设计,缺陷覆盖率平均增加1.2%,逃逸率降低420ppm。
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Defect-oriented cell-aware ATPG and fault simulation for industrial cell libraries and designs
Industry is facing increasingly tougher quality requirements for more complex ICs. To meet these quality requirements we need to improve the defect coverage. This paper presents a new methodology to significantly increase the defect coverage of the test patterns generated by ATPG tools. The fault model used during the ATPG is enhanced to directly target layout-based intra-cell faults. In contrast to previous techniques, such as Gate-Exhaustive, N-Detect, or Embedded-Multi-Detect, which either are too complex for real-world designs or merely improve the probability of detecting intra-cell defects, the new approach targets the actual root causes of intra-cell defects. The newly proposed Cell-Aware-methodology has been evaluated for 90nm and 65nm technologies on 1671 library cells and on 10 real industrial designs with up to 50 million faults. The experimental results show an average increase of 1.2% in defect coverage and a reduction of 420ppm in escape rate for a 50mm2 design.
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