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Active reliability monitor: Defect level extrinsic reliability monitoring on 22nm POWER8 and zSeries processors

机译:主动可靠性监测:22nm Power8和ZSer​​ies处理器上的缺陷级别外部可靠性监控

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Monitoring extrinsic reliability performance in a given technology is often performed in a passive manner. Semiconductor devices (die) are sampled out of production environment, subjected to a series of electrical and mechanical stresses, and finally tested extensively to determine if stressing produced additional fails. This strategy is prone to missing issues which are localized to a lots or wafers and is not likely to identify potential field reliability problems early enough to remove samples prior to shipment to the customer. We have created a system which continuously scans memory array repairs (correctable errors) across multiple test steps including Burn In and Voltage Screen, applies a pattern classification algorithm, and enables reliability information to be collected for every die. We will show that monitoring extrinsic defects at Wafer Final Test and through Burn In on every die for every product in a technology is crucial to a robust technology reliability strategy. Additionally we demonstrate a low cost high efficiency system, the Active Reliability Monitor, which accomplishes that goal using 22nm POWER8 and zSeries processor data. The system is shown to provide similar quality data to traditional reliability screening methods while also allowing for automated real time reaction to reliability indicators, specific-defect-type monitoring, and robust monitoring across products in the technology. The tool has enabled the identification of new screen procedures used for the containment of several problematic lots and rapid evaluation of the reliability degradation for any suspect reliability vintages.
机译:监测给定技术中的外部可靠性性能通常以被动方式执行。半导体器件(模具)被抽出除生产环境中,经过一系列电气和机械应力,最后在广泛测试以确定压力是否产生额外的失败。该策略易于缺少丢失的问题,该问题是批量或晶片本地化,并且不太可能在提前识别潜在的现场可靠性问题,以便在向客户发货前删除样品。我们已经创建了一个系统,该系统在包括刻录物步骤的多个测试步骤中连续扫描内存阵列维修(可纠正错误),应用模式分类算法,并且可以为每个模具收集可靠性信息。我们将表明,在技术中,每种产品的每个模具都会对晶圆最终测试的监测外在缺陷是对强大的技术可靠性策略至关重要。此外,我们展示了一种低成本的高效系统,有效可靠性监视器,它使用22nm Power8和ZSer​​ies处理器数据实现该目标。该系统被示出为传统的可靠性筛选方法提供类似的质量数据,同时还允许对技术中产品的可靠性指示符,特定缺陷型监测和鲁棒监控自动实时反应。该工具已启用用于容纳若干问题批次的新屏幕程序,以及对任何可疑可靠性葡萄酒的可靠性退化的快速评估。

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