Fine-Grained CPU Power Management Based on Digital Frequency Divider
文献类型：期刊论文
| 作者 | Jia, Fan1,2; Zhang, Longbing2 |
| 刊名 | ELECTRONICS
 |
| 出版日期 | 2023 |
| 卷号 | 12期号:2页码:18 |
| 关键词 | power management workloads sensing critical path of memory access DVFS digital frequency divider |
| DOI | 10.3390/electronics12020407 |
| 英文摘要 | Dynamic voltage and frequency scaling (DVFS) is a widely used method to improve the energy efficiency of the CPU. Reducing the voltage and frequency during memory-intensive workloads can minimize power consumption without affecting performance, thereby improving overall energy efficiency. A finer-grained DVFS strategy leads to better energy efficiency. However, due to the limitation of voltage regulators, the implementation granularity of the current DVFS strategies is 100 mu s or more. This paper proposes that managing the CPU's power through a more fine-grained load-aware approach can improve CPU energy efficiency, even with limitations of the voltage regulators. This paper adds a more fine-grained dynamic frequency divider to the DVFS system. This mechanism can improve the processor's energy efficiency in scenarios where DVFS does not take effect. This paper also proposes a DVFS management strategy based on finer-grained sampling. In order to improve the accuracy of performance estimation, we enhanced the state-of-the-art CRIT method to complete accurate memory time estimation in a shorter interval. The power management strategy was verified on the ChampSim and McPAT simulating platforms. In the SPEC CPU 2017 benchmark, this work saves an average of 16.36% energy consumption and improves energy efficiency by 13.57%. Compared with the state-of-the-art CRIT of 9.77% and 6.79%, this work improved energy consumption and efficiency by 6.20% and 6.35%, respectively. This method brings a 2.04% performance reduction, only a 0.16% drop in performance compared to CRIT. |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDC05020100] |
| WOS研究方向 | Computer Science ; Engineering ; Physics |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000917317400001 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/20017]  |
| 专题 | 中国科学院计算技术研究所期刊论文 |
| 通讯作者 | Jia, Fan |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Microprocessor Technol Res Ctr, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Fan,Zhang, Longbing. Fine-Grained CPU Power Management Based on Digital Frequency Divider[J]. ELECTRONICS,2023,12(2):18. |
| APA | Jia, Fan,&Zhang, Longbing.(2023).Fine-Grained CPU Power Management Based on Digital Frequency Divider.ELECTRONICS,12(2),18. |
| MLA | Jia, Fan,et al."Fine-Grained CPU Power Management Based on Digital Frequency Divider".ELECTRONICS 12.2(2023):18. |
入库方式： OAI收割
来源：计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。