用遗传算法优化基于核的三维集成电路测试时间

Tanusree Kaibartta, C. Giri, H. Rahaman, D. K. Das
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引用次数: 2

摘要

片上系统(SOC)使用嵌入式内核,需要称为测试访问机制(TAM)的测试访问架构来访问内核以进行测试。该方法可用于基于硅通孔(tsv)的三维堆叠集成电路的测试。3D堆叠集成电路(sic)的测试在半导体工业中变得越来越重要。在本文中,我们解决了使用tsv技术实现的3D堆叠集成电路的测试架构优化问题,并提出了在tsv数量和可用TAM宽度限制下最小化3D堆叠集成电路键合后测试时间的遗传算法。给定可用于测试片上系统的TAM宽度,我们的算法将该宽度划分为不同的组,并将这些组的核心放置在3D设计的不同层中,目的是优化总测试时间。实验结果验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing test time for core-based 3-D integrated circuits by genetic algorithm
System-on-a-chip (SOC) uses embedded cores that require a test access architecture called Test Access Mechanism (TAM) to access the cores for the purpose of testing. This approach can be used for testing of three dimensional stacked integrated circuits (SICs) based on through-silicon vias (TSVs). Testing of 3D stacked ICs (SICs) is becoming increasingly important in the semiconductor industry. In this paper, we address the problem of test architecture optimization for 3D stacked ICs implemented using TSVs technology and present genetic algorithm for minimizing the post bond test time for 3D SICs under the constraints on the number of TSVs and the available TAM width. Given a TAM width available to test a system-on-a-chip, our algorithm partitions this width into different groups and places the cores of these groups in different layers in 3D design with the goal to optimize the total test time. The experimental results establish the effectiveness of our algorithm.
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