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Logic characterization vehicle design reflection via layout rewiring

机译:通过布局布线逻辑反映车辆设计

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Continued scaling of semiconductor fabrication processes has made achieving yield targets increasingly difficult. The design and fabrication of various types of test vehicles is one approach for enabling fast yield learning. Recent work introduced the Carnegie Mellon logic characterization vehicle (CM-LCV). The CM-LCV design methodology uses regularity and existing testability theory to produce logic-based designs that are both highly testable and diagnosable. For the CM-LCV to be effective for yield learning, it must reflect the design characteristics of actual product layouts. Previous work enables incorporation of a standard-cell distribution derived from product designs into an LCV while simultaneously ensuring optimal testability. In this work, a new method is proposed for constructing a CM-LCV that reflects the design characteristics of a product through rewiring either the entire layout or some portion thereof. Four different approaches for rewiring are examined, and the results of each approach are evaluated using a variety of metrics. Experiment results reveal that a product layout can be easily rewired to construct an LCV with reasonable wirelength with reasonable CPU time. Rewiring has many advantages including the transformation of an actual product front-end to a logic-based test chip that has significant transparency to failure. Consequently, this means that front-end masks from an actual product can be re-used to create an effective LCV that is both more reflective and inexpensive to fabricate.
机译:半导体制造工艺的持续规模化使得实现成品率目标越来越困难。各种类型的测试工具的设计和制造是实现快速良率学习的一种方法。最近的工作介绍了卡内基梅隆逻辑表征工具(CM-LCV)。 CM-LCV设计方法论使用规律性和现有的可测性理论来生成可高度测试和诊断的基于逻辑的设计。为了使CM-LCV有效地进行产量学习,它必须反映实际产品布局的设计特征。先前的工作可以将源自产品设计的标准单元分布合并到LCV中,同时确保最佳的可测试性。在这项工作中,提出了一种通过重新布线整个布局或部分布局来构造反映产品设计特征的CM-LCV的新方法。研究了四种不同的重新布线方法,并使用各种指标评估了每种方法的结果。实验结果表明,可以轻松地重新布线产品布局,以构建具有合理线长和合理CPU时间的LCV。重新布线具有许多优势,包括将实际产品的前端转换为对故障具有显着透明性的基于逻辑的测试芯片。因此,这意味着可以重复使用实际产品的前端掩膜来创建有效的LCV,该LCV不仅反射性强而且制造成本低廉。

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