Test Infrastructure Development and Test Scheduling of 3D-Stacked ICs under Resource and Power Constraints

R. Karmakar, Aditya Agarwal, S. Chattopadhyay
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引用次数: 1

Abstract

This paper presents a test infrastructure development and test scheduling strategy for 3D-SICs under resource (test pins and TSVs) and power constraints. Depending upon the various scheduling restrictions, two test scheduling strategies have been proposed with an objective to minimize the overall test time (TT) of the stack. A step-by-step approach deals with the individual dies separately and develops power-restricted test schedules for each die and finally decides test concurrency between the dies satisfying the resources and power limits of the stack. Particle Swarm Optimization (PSO) based meta search technique has been used to select the resource allocation and power distribution to 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 the SIC. Another integrated approach uses PSO to generate power-constrained test schedule of the entire SIC in a single optimization step. Integrated approach produces better results than the step-by-step approach because of its higher flexibility with lesser restrictions. User may select any of the scheduling strategies depending upon the scheduling criteria.
资源和功耗约束下3d堆叠集成电路的测试基础设施开发与测试调度
本文提出了一种在资源(测试引脚和tsv)和功率限制下的3d - sic测试基础设施开发和测试调度策略。根据不同的调度限制,提出了两种测试调度策略,目的是最小化堆栈的总测试时间(TT)。一步一步的方法分别处理单个模具,并为每个模具制定功耗限制的测试计划,最终确定满足堆栈资源和功耗限制的模具之间的测试并发性。采用基于粒子群优化(PSO)的元搜索技术来选择单个模具的资源分配和功率分配以及内部测试计划。在优化的两个阶段中加入PSO,可以显著减少SIC的总体测试时间。另一种集成方法使用粒子群算法在单个优化步骤中生成整个SIC的功耗约束测试计划。集成方法比分步方法产生更好的结果,因为它具有更高的灵活性和更少的限制。用户可以根据调度标准选择任何调度策略。
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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