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首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >Design of a Network of Digital Sensor Macros for Extracting Power Supply Noise Profile in SoCs
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Design of a Network of Digital Sensor Macros for Extracting Power Supply Noise Profile in SoCs

机译:用于在SoC中提取电源噪声曲线的数字传感器宏网络的设计

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Increased functional density with shrinking technology could result in escalating power supply noise (PSN)-induced failures in the field. Furthermore, the low correlation between system-level functional test and production test is making it difficult to better screen parts that would fail in the field due to PSN. To address these issues, in this paper, we present a fully digital on-chip distributed sensor network to continuously monitor the PSN profile across the chip and generate a trace for diagnosis of any noise-induced failure at silicon validation, structural test, system test, and functional operation phases of system on chips (SoCs). The sensors capture PSN at a fine granularity and store the SoC’s critical status bits. The sensor offers easy access and control with the aid of scan chains. The sensor network has been designed in the 28-nm standard cell library, and its performance is demonstrated in the physical design of OpenSPARCT1 multicore processor SoC.
机译:随着技术的不断缩小,功能密度的提高可能会导致由电源噪声(PSN)引起的现场故障升级。此外,系统级功能测试和生产测试之间的相关性很低,这使得很难更好地筛选由于PSN而在现场失败的零件。为了解决这些问题,在本文中,我们提出了一个全数字片上分布式传感器网络,以连续监控整个芯片上的PSN配置文件,并在硅验证,结构测试,系统测试中生成跟踪以诊断任何由噪声引起的故障。 ,以及系统级芯片(SoC)的功能操作阶段。传感器以细粒度捕获PSN,并存储SoC的关键状态位。借助扫描链,该传感器可轻松访问和控制。传感器网络已经在28nm标准单元库中进行了设计,其性能在OpenSPARCT1多核处理器SoC的物理设计中得到了证明。

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