Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Zhongzhi Yu, Mingjie Liu, Michael Zimmer, Yingyan Celine Lin, Yong Liu, Haoxing Ren
2025-06-24
Summary
This paper talks about Spec2RTL-Agent, a new system that uses multiple AI agents working together to automatically create hardware code called RTL directly from complex hardware specifications without needing a lot of human help.
What's the problem?
The problem is that writing RTL code for hardware is hard and time-consuming because real hardware specifications are complicated and messy, and existing AI methods either only handle simple cases or require lots of human input.
What's the solution?
The researchers designed Spec2RTL-Agent to mimic how human engineers work by breaking down the specifications into clear steps, generating code gradually from simple ideas to detailed C++ code, and checking and fixing mistakes along the way to ensure the code is correct and reliable.
Why it matters?
This matters because it can greatly reduce the time and effort needed to design hardware, making the process faster and more efficient while still producing high-quality, correct hardware code that companies can use to build devices.
Abstract
Spec2RTL-Agent, a multi-agent system, automates RTL code generation from complex specifications by improving correctness and reducing human intervention.