Testing of 3D-stacked ICs with hard- and soft-dies - a Particle Swarm Optimization based approach

R. Karmakar, Aditya Agarwal, S. Chattopadhyay
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引用次数: 4

Abstract

This paper presents a test architecture optimization and test scheduling strategy for TSV based 3D-Stacked ICs (SICs). A test scheduling heuristic, that can fit in both session-based and session-less test environments, has been used to select the test concurrency between the dies of the stack. The proposed method minimizes the overall test time of the stack, without violating the system level resource and TSV limits. Particle Swarm Optimization (PSO) based meta search technique has been used to select the resource allocation of individual dies and also their internal test schedules. Incorporation of PSO in two stages of optimization produces a notable reduction in the overall test time of SIC. Experimental results show that upto 51% reduction in test time can be achieved using our strategy, over the existing techniques.
基于粒子群优化的硬、软模3d堆叠集成电路测试
提出了一种基于TSV的3d堆叠集成电路测试体系结构优化和测试调度策略。采用了一种测试调度启发式方法,该方法既适用于基于会话的测试环境,也适用于无会话的测试环境。该方法在不违反系统级资源和TSV限制的情况下,最大限度地减少了堆栈的总体测试时间。基于粒子群优化(PSO)的元搜索技术用于选择单个模具的资源分配和内部测试计划。在优化的两个阶段中加入粒子群算法可以显著减少SIC的整体测试时间。实验结果表明,与现有技术相比,使用我们的策略可以减少多达51%的测试时间。
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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