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IC test software system for mapping logical functional test data of logic integrated circuits to physical representation

机译:用于将逻辑集成电路的逻辑功能测试数据映射到物理表示的IC测试软件系统

摘要

The present invention relates to a method and apparatus for translating functional test data of a digital logic chip that passes through a simulation model that generally identifies one or more defective nets of a chip to determine the previous ability to determine and display X, It is generally used. The defective nets are processed for the previous type of database to obtain X, Y coordinate data for these nets, which allows them to be the logged data as physical traces on the chip layout. According to an exemplary embodiment, the mapping is performed by taking an output from the functional tester and translating it 126 from a list of failed scan chains 124 to a list of suspicious netlist nodes 129. Then, the X and Y coordinates of the suspicious netlist nodes are identified and stored in the database, which allows the failure analysis and yield increase engineers to explain the failure to give the starting point and the "inline" And provides a starting point for an immediate understanding of the These nodes may then be mutually mapped from the circuit design on the layout of the chip for each of the multiple photomask layers in the design. The detailed failure data is collected and stored at the wafer level as part of a more comprehensive program at the packaged phase, based on what is needed. Therefore, in contrast to obtaining a relatively small amount of low-quality data in a very difficult way, a large amount of high-quality data is obtained in an overall, automated manner.
机译:用于翻译数字逻辑芯片的功能测试数据的方法和设备技术领域本发明涉及一种用于翻译数字逻辑芯片的功能测试数据的方法和设备,该数字逻辑芯片通过仿真模型,该仿真模型通常识别芯片的一个或多个缺陷网以确定先前确定和显示X的能力。用过的。对先前类型的数据库处理有缺陷的网络,以获得这些网络的X,Y坐标数据,从而使它们可以作为记录的数据作为芯片布局上的物理迹线。根据示例性实施例,通过从功能测试器获取输出并将其从故障扫描链124的列表126转换成可疑网表节点列表129来执行映射。然后,可疑网表的X和Y坐标。节点被识别并存储在数据库中,这使得故障分析和良率提高工程师能够解释故障并给出起点和“内联”,并为立即了解节点提供起点。这些节点随后可以相互映射对于设计中的多个光掩模层中的每一个,从电路设计上的芯片布局来看。在包装阶段,根据需要,将详细的故障数据收集起来并存储在晶圆级别,作为更全面程序的一部分。因此,与以非常困难的方式获得相对少量的低质量数据相反,以整体,自动化的方式获得了大量的高质量数据。

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