ML-Assisted VminBinning with Multiple Guard Bands for Low Power Consumption

Author:

Lin Wei-Chen1,Chen Chun1,Hsieh Chao-Ho1,Li James Chien-Mo1,Fang Eric Jia-Wei2,Hsueh Sung S.-Y.2

Affiliation:

1. Graduate Institute of Electronics Engineering National Taiwan University,Taipei,Taiwan,106

2. MediaTek Inc.,Hsinchu,Taiwan,300

Publisher

IEEE

Reference16 articles.

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2. 35.1 An Octa-Core 2.8/2GHz Dual-Gear Sensor-Assisted High-Speed and Power-Efficient CPU in 7nm FinFET 5G Smartphone SoC

3. Modeling power consumption for dvfs policies;rossi;2015 IEEE International Symposium on Circuits and Systems (ISCAS),0

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Domain-Specific Machine Learning Based Minimum Operating Voltage Prediction Using On-Chip Monitor Data;2023 IEEE International Test Conference (ITC);2023-10-07

2. Vmin Prediction Using Nondestructive Stress Test;2023 IEEE 41st VLSI Test Symposium (VTS);2023-04-24

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