Design of high performance energy efficient CMOS voltage level shifter for mixed signal circuits applications

Kumar, Chaudhry Indra; Chaudhary, Abhishek; Upadhyaya, Shreyansh

doi:10.1016/j.vlsi.2023.102133

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2024

DOI: 10.1016/j.vlsi.2023.102133

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Design of high performance energy efficient CMOS voltage level shifter for mixed signal circuits applications

Chaudhry Indra Kumar,

Abhishek Chaudhary,

Shreyansh Upadhyaya

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2024

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Design of Energy-Efficient CMOS Circuits for AI Applications

Karaosmanoğlu

2024

HCI

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The design of energy-efficient CMOS circuits has become a critical area of research, driven by the escalating demand for artificial intelligence (AI) applications that require immense computational power. This study investigates advanced techniques for optimizing CMOS (Complementary Metal-Oxide-Semiconductor) circuit architectures to enhance energy efficiency without compromising performance. Key areas of focus include reducing dynamic and static power consumption through innovative transistor-level designs, clock-gating strategies, and the integration of advanced materials. Additionally, the research explores the potential of hybrid architectures combining CMOS with emerging technologies like memristors and neuromorphic circuits. By addressing power constraints in AI hardware, the study aims to contribute to the development of scalable, sustainable computing systems for machine learning, neural networks, and edge AI devices. The findings have broad implications for the future of AI hardware, offering solutions that balance computational demands with energy sustainability.

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Design of Energy-Efficient CMOS Circuits for AI Applications

Karaosmanoğlu

2024

HCI

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Design of high performance energy efficient CMOS voltage level shifter for mixed signal circuits applications

Cited by 1 publication

References 6 publications

Design of Energy-Efficient CMOS Circuits for AI Applications

Design of Energy-Efficient CMOS Circuits for AI Applications

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