Hey AI, Generate Me a Hardware Code! Agentic AI-based Hardware Design & Verification
Deepak Narayan Gadde, Keerthan Kopparam Radhakrishna, Vaisakh Naduvodi Viswambharan, Aman Kumar, Djones Lettnin, Wolfgang Kunz, Sebastian Simon

TL;DR
This paper introduces an agentic AI approach for hardware design and verification, leveraging Large Language Models and human-in-the-loop collaboration to improve efficiency, coverage, and adaptability in complex IC development.
Contribution
It proposes a novel AI-based methodology for hardware verification that combines autonomous AI agents with human oversight, enabling end-to-end design and faster, more comprehensive verification.
Findings
Achieved over 95% verification coverage on five open-source designs.
Reduced verification time compared to traditional methods.
Demonstrated superior adaptability and configurability of the AI system.
Abstract
Modern Integrated Circuits (ICs) are becoming increasingly complex, and so is their development process. Hardware design verification entails a methodical and disciplined approach to the planning, development, execution, and sign-off of functionally correct hardware designs. This tedious process requires significant effort and time to ensure a bug-free tape-out. The field of Natural Language Processing has undergone a significant transformation with the advent of Large Language Models (LLMs). These powerful models, often referred to as Generative AI (GenAI), have revolutionized how machines understand and generate human language, enabling unprecedented advancements in a wide array of applications, including hardware design verification. This paper presents an agentic AI-based approach to hardware design verification, which empowers AI agents, in collaboration with Humain-in-the-Loop…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
