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Test-Length and TAM Optimization for Wafer-Level Reduced Pin-Count Testing of Core-Based SoCs

机译:基于内核的SoC的晶圆级减少引脚数测试的测试长度和TAM优化

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Wafer-level testing (wafer sort) is used in the semiconductor industry to reduce packaging and test cost. However, a large number of wafer-probe contacts lead to higher yield loss. Therefore, it is desirable that the number of chip pins contacted by tester channels during wafer sort be kept small to reduce the yield loss resulting from improper contacts. Since test time and the number of contacted chip pins are major practical constraints for wafer sort, not all scan-based digital tests can be applied to the die under test. We propose an optimization framework based on mathematical programming (integer linear programming, nonlinear programming, and geometric programming) and fast heuristic methods. This framework addresses test-access mechanism (TAM) optimization and test-length selection for wafer-level testing of core-based digital system-on-chips (SoCs). The objective here is to design a TAM architecture and determine test lengths for the embedded cores such that the overall SoC defect-screening probability at wafer sort is maximized. Defect probabilities for the embedded cores, obtained using statistical yield modeling, are incorporated in the optimization framework. Simulation results are presented for five of the ITC'02 SoC Test benchmarks.
机译:晶圆级测试(晶圆分类)用于半导体行业,以降低封装和测试成本。但是,大量的晶圆探针接触导致更高的良率损失。因此,希望保持晶片分类期间测试器通道所接触的芯片销的数量保持较小,以减少由于不适当的接触而导致的成品率损失。由于测试时间和接触的芯片引脚数量是晶圆分类的主要实际限制,因此并非所有基于扫描的数字测试都可以应用于被测芯片。我们提出了一种基于数学编程(整数线性编程,非线性编程和几何编程)和快速启发式方法的优化框架。该框架解决了测试访问机制(TAM)优化和测试长度选择,用于基于内核的数字片上系统(SoC)的晶圆级测试。此处的目的是设计TAM架构并确定嵌入式内核的测试长度,以使晶圆分类时的总体SoC缺陷筛查概率最大化。使用统计良率建模获得的嵌入式核心的缺陷概率已合并到优化框架中。给出了针对ITC'02 SoC测试基准的五个基准的仿真结果。

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