D2D-GPT: Leveraging Incremental Learning GPT for Seamless Design Rule Conversion Across EDA Tools

Chao Wang, Yunxiang Zhang, Wangzilu Lu, Jiajie Huang, Qing Zhang, Minghui Yin, Yuhang Zhang, Zhiqiang Li*, Yongfu Li*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper investigates the use of fine-tuned ChatGPT, in Electronic Design Automation (EDA) for Design Rule Checking (DRC). As integrated circuits grow in complexity, so do the design rules, exacerbated by the diversity of EDA tools with unique DRC specifications. We introduce D2D-GPT, a unified tool leveraging ChatGPT's language capabilities to translate DRC specifications across different EDA platforms. This research focuses on optimizing input datasets - native DRC rules - to improve ChatGPT's translation accuracy and efficiency. Our objective is to streamline the EDA workflow, bridge gaps between various tools, and pave the way for more cohesive design processes in the semiconductor industry.

Original languageEnglish
Title of host publicationAPCCAS and PrimeAsia 2024 - 2024 IEEE 20th Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Number of pages5
ISBN (Electronic)9798350378771
DOIs
StatePublished - 2024
Externally publishedYes
Event20th IEEE Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, APCCAS and PrimeAsia 2024 - Taipei, Taiwan, Province of China
Duration: 7 Nov 20249 Nov 2024

Publication series

NameAPCCAS and PrimeAsia 2024 - 2024 IEEE 20th Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, Proceeding

Conference

Conference20th IEEE Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, APCCAS and PrimeAsia 2024
Country/TerritoryTaiwan, Province of China
CityTaipei
Period7/11/249/11/24

Keywords

  • ChatGPT
  • Design Rule Checking
  • Electronic Design Automation
  • Machine Learning
  • Semiconductor Industry

Fingerprint

Dive into the research topics of 'D2D-GPT: Leveraging Incremental Learning GPT for Seamless Design Rule Conversion Across EDA Tools'. Together they form a unique fingerprint.

Cite this