A Review of CMOS Dynamic Power Consumption Optimization and Design Methods

Yiran Chen

doi:10.47297/taposatWSP2633-456913.20250605

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A Review of CMOS Dynamic Power Consumption Optimization and Design Methods

6卷第5期

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A Review of CMOS Dynamic Power Consumption Optimization and Design Methods
A Review of CMOS Dynamic Power Consumption Optimization and Design Methods
School of Integrated Circuits, Shandong University, Jinan, Shandong, 250101, China
2025年6卷第5期页码：59-62
纸质出版日期：2025-05-19
DOI：10.47297/taposatWSP2633-456913.20250605
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(2025). A Review of CMOS Dynamic Power Consumption Optimization and Design Methods. 科技理论与实践（英文版）, 6(5), 59-62.

Chen Yiran.A Review of CMOS Dynamic Power Consumption Optimization and Design Methods[J].Theory and Practice of Science and Technology,2025,06(05):59-62.
(2025). A Review of CMOS Dynamic Power Consumption Optimization and Design Methods. 科技理论与实践（英文版）, 6(5), 59-62. DOI： 10.47297/taposatWSP2633-456913.20250605.

Chen Yiran.A Review of CMOS Dynamic Power Consumption Optimization and Design Methods[J].Theory and Practice of Science and Technology,2025,06(05):59-62. DOI： 10.47297/taposatWSP2633-456913.20250605.

摘要

Abstract

As integrated circuit processes enter the sub-nanometer era

dynamic power optimization becomes a core challenge for improving chip energy efficiency. This paper systematically examines the generation mechanism of dynamic power consumption and multi-level optimization strategies

and highlights the importance of cross-level collaborative design in breaking through the bottleneck of traditional single-level optimization. The research shows that through collaborative innovation in circuit design

system architecture and new device structure

power consumption can be significantly reduced and energy efficiency improved. The new device technology can effectively alleviate leakage problems by enhancing gate control capabilities

but its process complexity and parasitic effects still need further exploration. Future research needs to integrate material innovation

dynamic and static power management

and intelligent optimization algorithms to meet the demands of high-performance computing and the Internet of Things for low-power design.

关键词

Keywords

references

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