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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
1-10

Advances of optimization algorithm via neural network computing for EDA

Zhao Chenhui1,2
He Shan1,2
Liu Xianming1,2
Guo Donghui1,2
1. School of Electronic Science & Engineering, Xiamen University, Xiamen Fujian 361005, China
2. IC Design R&D Engineering Center of Fujian Province, Xiamen Fujian 361005, China
DOI: 10.19734/j.issn.1001-3695.2024.05.0171

Abstract

In response to the increasing complexity of chip design, EDA tools and methods are also evolving. However, EDA needs to be coordinated to achieve optimal power, performance, and area, and it does not always guarantee an optimal solution. The application of EDA tools in the circuit design stage, including logic synthesis, layout and verification, belongs to the nonlinear programming solution process with multiple objectives and constraints. To better address the uncertainties of the solution and the problems such as the easy to appear local extreme values, optimization algorithms based on neural network had been integrated into the design process of EDA tools. This paper first gave a brief overview of the optimization problem, multi-objective optimization calculation and optimization algorithm based on neural network in EDA, and then sorted out the optimization solution methods of optimization algorithm based on neural network in different design stages such as logic synthesis, layout and verification, and expounded on the challenges and opportunities faced by the current research institute. It hoped to provide reference for automated integrated circuit design and related research.

Foundation Support

国家自然科学基金重点项目(61836010)
福建省科技创新平台项目(2023-P-008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0171
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Survey
Pages: 1-10
Serial Number: 1001-3695(2025)01-001-0001-10

Publish History

[2025-01-05] Printed Article

Cite This Article

赵晨晖, 贺珊, 刘先明, 等. 基于神经网络的优化算法在EDA中应用研究进展 [J]. 计算机应用研究, 2025, 42 (1): 1-10. (Zhao Chenhui, He Shan, Liu Xianming, et al. Advances of optimization algorithm via neural network computing for EDA [J]. Application Research of Computers, 2025, 42 (1): 1-10. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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