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Methodologies and tool set for IDDQ verification, debugging and failure diagnosis

机译:用于I DDQ 验证,调试和故障诊断的方法和工具集

摘要

Quiescent supply current (IDDQ) verification, prediction, and debugging of low power semiconductor devices are enhanced by IDDQ defect diagnosis. If all IDDQ patterns fail verification, per module analysis is performed to sort out potential module design issues or cell constraint issues. For issues of missing constraints, and cell design or implementation issues leading to extra leakage that could be avoided by adding constraints, there are usually IDDQ patterns that correlate with expectations, and patterns that do not, due to the random nature of unconstrained scan cell values as determined by the pattern generation tool. Differentiating good and bad IDDQ patterns can identify root causes of IDDQ issues and additional constraints to fix the bad IDDQ vectors. These verification procedures are achieving IDDQ test success and short time to market, as well as significantly faster time to volume and improved yields because of having a higher quality and better-controlled IDDQ test.
机译:I DDQ 缺陷诊断可增强低功率半导体器件的静态电源电流(I DDQ )验证,预测和调试。如果所有I DDQ 模式均未通过验证,则将按模块进行分析以找出潜在的模块设计问题或单元约束问题。对于缺少约束的问题,以及通过添加约束可以避免的导致额外泄漏的单元设计或实现问题,通常存在与期望相关的I DDQ 模式,而与期望不相关的模式模式生成工具确定的不受约束的扫描单元值的随机性质。区分良好的和不良的I DDQ 模式可以确定I DDQ 问题的根本原因,并可以确定修复不良的I DDQ 向量的其他约束。这些验证程序可实现I DDQ 测试的成功和较短的上市时间,并且由于具有更高的质量和更好的I DDQ 控制程度,因此可显着加快批量生产时间并提高产量。子>测试。

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