当前位置:
X-MOL 学术
›
IEEE J. Solid-State Circuits
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A 65-nm Proactive Power Management Technique With Real-Time Machine Learning Engine for Droop Prediction and Mitigation on Microprocessors
IEEE Journal of Solid-State Circuits ( IF 4.6 ) Pub Date : 2024-11-05 , DOI: 10.1109/jssc.2024.3479273 Xi Chen, Jiaxiang Feng, Aly Shoukry, Xin Zhang, Raveesh Magod, Nachiket Desai, Jie Gu
中文翻译:
一种 65 纳米主动电源管理技术,带有实时机器学习引擎,用于微处理器上的压降预测和缓解
更新日期:2024-11-05
IEEE Journal of Solid-State Circuits ( IF 4.6 ) Pub Date : 2024-11-05 , DOI: 10.1109/jssc.2024.3479273 Xi Chen, Jiaxiang Feng, Aly Shoukry, Xin Zhang, Raveesh Magod, Nachiket Desai, Jie Gu
中文翻译:
一种 65 纳米主动电源管理技术,带有实时机器学习引擎,用于微处理器上的压降预测和缓解