逆向工程
云计算
工作流程
计算机科学
示意图
节点(物理)
过程(计算)
分布式计算
人工智能
软件工程
数据科学
数据库
操作系统
工程类
电子工程
结构工程
作者
Chris Pawlowicz,Bruno Trindade,Michael Green
出处
期刊:Proceedings
日期:2021-10-28
卷期号:84215: 163-171
被引量:4
标识
DOI:10.31399/asm.cp.istfa2021p0163
摘要
Abstract Modern reverse engineering (RE) workflows involve a growing number of challenges as process nodes drop below 5 nm. As more circuitry is packed into smaller areas, larger quantities of raw data must be collected and processed to help reconstruct the underlying schematics of the circuit under test. This paper examines the role of cloud computing in reverse engineering, explaining how it improves throughput by orders of magnitude for 2D image registration and how it facilitates high-quality image segmentation with the help of machine learning.
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