LLMs: A Driving Force in Next Generation Digital Design Automation
Innovations in generative artificial intelligence (GenAI), particularly large language models (LLMs), are poised to revolutionize silicon design automation. This paper explores the transformative potential of LLMs in automating and enhancing various tasks within the silicon design process. It reviews the current applications of LLMs and their potential to automate silicon design tasks, proposing applications, providing a qualitative analysis of the readiness of the technology to support these applications and setting directions for future research.
Authors
- Aram Markosyan (ORCID: https://orcid.org/0000-0002-3213-8333)
- Gabriel Synnaeve (ORCID: https://orcid.org/0000-0003-1715-3356)
- Chris Cummins (ORCID: https://orcid.org/0000-0002-9382-4302)
- Warren A. Hunt (ORCID: https://orcid.org/0009-0004-1444-2544)
- Édith Beigné (ORCID: https://orcid.org/0000-0001-6350-1054)
- Matheus T. Moreira (ORCID: https://orcid.org/0000-0001-5030-9215)
Institutions
- Meta (United States) (US)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/dac63849.2025.11132759
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00