超大规模集成电路故障分析的信号和图像处理技术

A. Boscaro, S. Jacquir, K. Sanchez, P. Perdu, S. Binczak
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引用次数: 1

摘要

对于超大规模集成电路,内部电气测量是解决设计调试问题和执行故障分析的关键步骤。由于有多个金属层,芯片的有源区域只能从芯片的背面进入。光学非接触式技术通过硅衬底操作的能力以及所需的少量样品制备广泛地促进了它们作为缺陷定位工作流程中不可避免的工具。通过静态和动态光子发射分析和光电探测,可以检测到定时问题或异常消耗。发射点的识别是这一过程中必不可少的一步。由于尺度变换,采集区域内的发射节点越来越多,发射强度变化较大,难以恢复到信噪比好的信号。在本文中,报告了自动化技术在这些复杂区域中定位点并恢复具有良好信噪比的电信号。我们将强调挑战并定义这些技术的应用程序边界。这些技术为探测应用提供了一些视角,并允许FA社区使用信号处理方法而不是昂贵的设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal and image processing techniques for VLSI failure analysis
For VLSI, internal electrical measurements are key steps to solve design debug issues and to perform failure analysis. Due to multiple metal layers, active areas of the chip are only accessible from the backside of the die. The ability of optical contactless techniques to operate through the silicon substrate and the few sample preparation required have widely contributed to promote them as unavoidable tools of the defect localization workflow. Timing issue or unusual consumption can be detected by static and dynamic photon emission analysis and Electro Optical Probing. The identification of the emission spots is an essential step of the process. Due to scaling, more and more emission nodes are located within the acquisition area so that large variations of emission intensity can exist and it is difficult to recover a signal with a good Signal to Noise Ratio (SNR). In this paper, automated techniques are reported to locate spots in these complex areas and to recover electrical waveforms with a good SNR. We will underline the challenge and define applications boundaries of these techniques. These techniques gives some perspectives for probing applications and allows FA community to use signal processing methods instead of expensive devices.
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