Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 12, 17 November 2023


Open Access | Article

Integrated circuit design based on CMOS technology principle and its application in GPU

Jiahao Chen * 1
1 Anhui Polytechnic University

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 12, 141-146
Published 17 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Jiahao Chen. Integrated circuit design based on CMOS technology principle and its application in GPU. TNS (2023) Vol. 12: 141-146. DOI: 10.54254/2753-8818/12/20230454.

Abstract

In today's society, the application of integrated circuit technology can be seen everywhere, especially in the past two decades. This paper mainly studies the principle and design of CMOS devices in IC technology and discusses the research and analysis of the acceleration algorithm of IC design. This paper adopts the research method of literature review and analysis to summarize the existing research results. This paper first introduces the development background of integrated circuit technology and the importance of CMOS technology. Subsequently, the concept and interconnection principle of CMOS device, and the combined circuit design and sequential logic circuit design principle of dynamic and static CMOS are explained in detail. Then, the application principle of CMOS technology in GPU is analyzed, and its specific application in GPU acceleration algorithm is analyzed. Finally, the application of CMOS technology in integrated circuits and its application and acceleration effect are summarized.

Keywords

CMOS technology, combined circuit design, GPU

References

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2. Zhang Jie, Sun Bin, Cui Ruixue, etc. Design method and design skills of combinatorial logic circuit [J]. Journal of North China Institute of Aerospace Technology, 2014,24 (04): 23-26.

3. Po-Han Wang, Chia-Lin Yang, Yen-Ming Chen, and Yu-Jung Cheng. 2011. Power gatin-g strategies on GPUs. ACM Trans. Archit. Code Optim. 8, 3, Article 13 (October 2011), 25 pages. https://doi.org/10.1145/2019608.2019612

4. Nvidia.CUDA4,1, [M]. California: Nvidia, 2011:5-8.

5. AccelerEyes. JACKET1.7 GettingStartedGuide [M. Atlanta: AccelevEyes, 2011: 8-12.

6. Wang Heng, building from a hillhouse. A MATLAB calculation and simulation study ba-sed on the GPU [J]. Journal of Guizhou University (Natural Science Edition), 2012,29(06):95-98+112. DOI: 10.15958/j.cnki.gdxbzrb. 2012.06.013.

7. Chen Qian. Research on the parallel algorithm for digital image processing based on GP-U [D]. Graduate School of Chinese Academy of Sciences (Xi'an Institute of Optics and Fine Mechanics), 2014.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
ISBN (Print)
978-1-83558-135-3
ISBN (Online)
978-1-83558-136-0
Published Date
17 November 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/12/20230454
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated