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On-die droop detector for analog sensing of power supply noise

机译:片上跌落检测器,用于模拟检测电源噪声

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Understanding the supply fluctuations of various frequency harmonics is essential to maximizing microprocessor performance. Conventional methods used for analog validation of the power delivery system fall short in one or more of the following areas. 1) Measurement accuracy in both frequency and time domains, especially for very high-frequency noise caused by large di/dt events. The multigigahertz power supply noise attenuates very quickly away from the die. Conventional approaches of measuring the noise at the pins of the package or at the die using capacitive probes are not accurate for multigigahertz clocks. For this reason, the observability of high-frequency on-die noise has been very tricky. 2) Implementation (e.g., delivery) of analog references to multiple areas across a "noisy" die, compactness/modularity of the measurement units, restraining assumptions inherent in the measurement circuit such as periodicity of the supply noise event. 3) Automation to enable a timely volume of measurements. The efficiency of the measurements is key to correlating a particular speed path to poser supply noise. To address these issues, this paper presents an on-die droop detector (ODDD), a scalable IC solution implemented and validated on a 90-nm process, for analog sensing of differential high-bandwidth supply noise.
机译:了解各种频率谐波的电源波动对于最大化微处理器性能至关重要。用于电力输送系统的模拟验证的常规方法在以下一个或多个领域中不足。 1)在频域和时域的测量精度,尤其是对于由大di / dt事件引起的极高频噪声。数千兆赫兹的电源噪声会从芯片上迅速衰减。使用电容式探头测量封装引脚或裸片上的噪声的常规方法对于数GHz时钟而言并不准确。因此,高频管芯噪声的可观察性非常棘手。 2)在“嘈杂的”芯片上对多个区域的模拟参考的实现(例如交付),测量单元的紧凑性/模块化,约束测量电路中固有的假设,例如电源噪声事件的周期性。 3)自动化以实现及时的测量。测量效率是将特定的速度路径与装具供应噪声相关联的关键。为了解决这些问题,本文提出了一种片上跌落检测器(ODDD),这是一种可扩展的IC解决方案,该解决方案是在90nm工艺上实现并验证的,用于模拟感测差分高带宽电源噪声。

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