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Optimizing test time for core-based 3-D integrated circuits by genetic algorithm

机译:遗传算法优化基于核的三维集成电路的测试时间

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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.
机译:系统上芯片(SOC)使用嵌入式核心,该核心需要一个名为Test Access机制(TAM)的测试访问架构以访问核心以进行测试目的。该方法可用于基于硅通孔(TSV)的三维堆叠集成电路(SICS)的测试。 3D堆叠ICS(SICS)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TSVS技术实现的3D堆叠IC的测试架构优化问题,并提出了遗传算法,以最大限度地减少三维SICS在TSV的约束下的3D SICS后键测试时间和可用的TAM宽度。鉴于TAM宽度可用于测试系统上芯片,我们的算法将此宽度分区为不同的组,并将这些组的核心放在3D设计中的不同层中,目标是优化总测试时间。实验结果确定了我们算法的有效性。

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