利用并行测试结构加速14nm器件学习和良率斜坡,作为新的在线参数测试策略的一部分

Garry Moore, J. Liao, Scott McDade, B. Verzi
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引用次数: 8

摘要

本文将着眼于并行与串行内联参数测试的技术和业务优势,改变测试策略的次要影响,量化新测试策略的投资回报,以及推动测试极限的下一步。本课程将探讨成本、进度、宏观设计和质量等主题,以了解测试策略的权衡和协同作用。与串行测试相比,并行测试的例子和度量将被检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerating 14nm device learning and yield ramp using parallel test structures as part of a new inline parametric test strategy
This paper will look at both technical and business advantages of parallel vs. serial inline parametric testing, secondary effects of changing test strategies, quantifying return on investment of newer test strategies, and next steps in pushing the envelope of test. Topics such as cost, schedule, macro design and quality will be explored to understand tradeoffs and synergies of test strategies. Examples and metrics of parallel compared to serial testing will be examined.
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