Machine Learning Empowered EDA Backend Design: Technological Breakthroughs and Future Prospects

YANG Cheng-cheng

Computer & Telecommunication ›› 2025, Vol. 1 ›› Issue (4) : 1-6.

YANG Cheng-cheng

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Abstract

In the digital age, chips, as the core of information technology, have become a key indicator of a country's technological strength. Electronic Design Automation (EDA) tools play a crucial role in chip design. However, there is a significant gap between China and international advanced levels in the development of EDA tools, especially in the field of digital chip backend design. This paper reviews the current applications of machine learning in EDA backend design, exploring technological breakthroughs in optimizing layout and routing, power noise verification, and library characterization. It also discusses future development trends. Empowered by machine learning, it is expected that China's EDA tool development capabilities will be enhanced, promoting the independent and high-quality development of the chip industry.

Key words

machine learning / EDA backend design / layout and routing / power noise verification / library characterization

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YANG Cheng-cheng. Machine Learning Empowered EDA Backend Design: Technological Breakthroughs and Future Prospects[J]. Computer & Telecommunication. 2025, 1(4): 1-6

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