Cross-Layer Intelligent System-Based Adaptive Power Conditioning for Robust and Reliable Mixed-Signal Multi-Core SoCs

该项目旨在研究自适应电源调节在避免故障和提高混合信号多核片上系统（SoC）可靠性方面的有效性，同时保持电源效率。该调查旨在利用日益集成的非侵入式传感器来监控各种操作参数，并利用具有成本效益的调谐旋钮来通过在线电源条件调整来校准电路性能。该项目旨在开发一个跨层智能系统，该系统将根据传感器提供的反馈不断调整整个配电网络的流量。最终，该项目的目标是证明自适应功率调节的整体方法可以（i）确保操作鲁棒性，同时最大限度地降低功耗，以及（ii）提高可靠性并延长集成电路的预期寿命。这项工作的智力贡献将是在开发一个实用的，但理论上扎根和分析支持的智能系统，用于捕获电路性能，传感器读数和校准旋钮位置之间的相关性，并利用它们来提高鲁棒性和可靠性。拟议的研究是由教育和宣传活动的补充，展示了主要研究者（PIS）的承诺，作为研究人员，教育工作者和积极的社区成员的综合作用。研究所将开发和提供一个新的研究生课程，这些研究所在让包括妇女和其他代表性不足的群体在内的各级学生参与其研究活动方面有着良好的记录。预计将有几次机会参与跨学科研究，包括电气工程，计算机科学和应用数学以及与工业合作伙伴的实习。

This project seeks to investigate the effectiveness of adaptive power conditioning in averting failures and enhancing reliability of mixed-signal multi-core Systems-on-Chips (SoCs), while retaining power efficiency. The investigation aims to leverage the increasing integration of non-intrusive sensors for monitoring various operational parameters and cost-effective tuning knobs for calibrating circuit performance through online power condition adjustment. The project aims to develop a cross-layer intelligent system, which will continuously adjust the flow of the entire power distribution network based on the feedback provided by the sensors. Ultimately, the aspiration of this project is to demonstrate that a holistic approach to adaptive power conditioning can (i) ensure operational robustness while minimizing power consumption, and (ii) enhance reliability and prolong life expectancy of integrated circuits. The intellectual contribution of this work will be in the development of a practical, yet theoretically rooted and analytically supported intelligent system for capturing correlations between circuit performance, sensor readings, and calibration knob positions, and utilizing them to improve robustness and reliability. The proposed research is complemented by educational and outreach activities demonstrating the principle investigators' (PIs') commitment to an integrated role as researchers, educators, and active community members. A new graduate-level course will be developed and offered by the PIs, who have proven track records of involving the students of various levels in their research activities, including women and other under-represented groups. Several opportunities for participation in interdisciplinary research spanning Electrical Engineering, Computer Science, and Applied Mathematics as well as internships with industrial partners are expected.