Run-Time Power Management System by On-Die Power Sensor with Silicon Machine Learning-Based Calibration in a 3nm Octa-Core CPU

📋 论文概要

本文提出了一种运行时功率管理系统，使用片上功率传感器和基于硅片机器学习的校准技术，在3nm八核CPU上实现高效功率管理，以提升智能手机游戏性能与续航。

💡 主要创新点

• 片上功率传感器实现实时功率监测，支持动态功率分配。
• 基于硅片机器学习的校准技术，提高功率传感器的准确性和鲁棒性。
• 运行时功率管理系统优化多核任务调度，在功耗预算内提升帧率和续航。

🏷 关键词

📄 原文摘要

Yuju Cho1, Rex Che-Yuan Liu1, Ericbill Wang1, You-Ming Tsao1, Hugh Mair2, Shih-Arn Hwang1 MediaTek, Hsinchu, Taiwan MediaTek, Austin, TX 1 2 For flagship smartphones, the gaming experience has become one of essential demands, requiring high frame rate per second (fps), display quality and durability. These demands drive the evolution of the CPU to enhance performance and computing efficiency. The CPU offers multiple cores to support various computing tasks in an energy-efficient manner, relying on the scheduler [1] to allocate tasks to each core based on available power budgets. Power budgets are calculated at intervals of each computing thread. As games run at higher fps, the intervals of power budgeting become shorter. The average interval of power budgeting in two top-gaming applications is shown in Fig. 8.2.1. With fps rising to 90, the average interval is shortened to less than 50µs. Meanwhile, the CPU clock speeds increase

👥 作者与机构

Chien-Yu Lu1, Bo-Jr Huang1, Min-Chieh Chen1, Alfred Tsai1, Eric Jia-Wei Fang1,