The Role of Cloud Computing in a Modern Reverse Engineering Workflow at the 5nm Node and Beyond

C. Pawlowicz, Bruno Trindade, Michael Green
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引用次数: 2

Abstract

A modern reverse engineering (RE) workflow contains many challenges, especially as process nodes drop below the 5nm node. With increased complexity, more circuitry is packed into a smaller area, requiring large quantities of raw data collected and subsequently processed to help reconstruct the original schematics. By leveraging inexpensive cloud computing, orders of magnitude improvement in throughput were achieved for 2D image registration and high quality image segmentation was achieved using machine learning.
云计算在5nm及以上节点的现代逆向工程工作流中的作用
现代逆向工程(RE)工作流包含许多挑战,特别是当工艺节点低于5nm节点时。随着复杂性的增加,更多的电路被装入更小的区域,需要收集大量的原始数据并随后进行处理,以帮助重建原始原理图。通过利用廉价的云计算,实现了二维图像配准吞吐量的数量级提高,并使用机器学习实现了高质量的图像分割。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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