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

机译:在资源和功率约束下测试3D堆叠IC的测试基础架构开发和测试计划

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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.
机译:本文介绍了在资源(测试引脚和TSV)和功率约束下针对3D-SIC的测试基础架构开发和测试调度策略。取决于各种调度限制,已经提出了两种测试调度策略,其目的是使堆栈的总测试时间(TT)最小化。分步方法分别处理各个管芯,并为每个管芯制定功率受限的测试计划,最后确定满足堆叠资源和功率限制的管芯之间的测试并发性。基于粒子群优化(PSO)的元搜索技术已被用于选择资源分配和功率分配给单个晶粒,以及它们的内部测试计划。将PSO纳入优化的两个阶段可显着减少SIC的总体测试时间。另一种集成方法是使用PSO在单个优化步骤中生成整个SIC的功率受限测试计划。集成方法比逐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。

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