AI-DRIVEN RTL GENERATION WITH ADAPTIVE ERROR CLASSIFICATION AND FUNCTIONAL VERIFICATION
Keywords:
Register Transfer Level (RTL), Verilog HDL, Large Language Models (LLMs), Automated RTL Generation, Adaptive Error Classification, Functional Verification, FPGA, ASIC, Hardware Design Automation, Artificial Intelligence (AI), and Electronic Design Automation (EDA).Abstract
With the complexity of today's digital systems, the demand for advanced Electronic Design Automation (EDA) tools that can accelerate the design of hardware and ensure its functionality has increased. In traditional Register Transfer Level (RTL) design, engineers have to write design specifications in Verilog Hardware Description Language (HDL), a process that is tedious and prone to errors, and requires extensive verification and debugging. This project proposes an innovative approach to creating Verilog HDL automatically by using a Large Language Model (LLM) and an adaptive error categorization and verification process, called IntelliRTL. The proposed system automatically generates synthesizable Verilog HDL code when accepting natural language (NL) design specifications. Unlike standard RTL generation system, IntelliRTL has an Adaptive Error Classification Module that categorizes the code generation error into logical, syntax and compilation error before functional verification. The system keeps unnecessary debugging cycles and increases the effectiveness of the verification process by giving specific feedback depending on the problem category found to enhance output HDL. The RTL is automatically tested for functionality and simulated with tools before FPGA implementation. Iterative feedback greatly improves code dependability, speeds up development, and raises the likelihood of producing accurate hardware designs with little assistance from humans. The proposed framework includes support for rapid prototyping, FPGA/ASIC development, digital system education, and automated design with the help of AI. With its intelligent code generation, adaptive error analysis and automated verification, IntelliRTL provides an effective, scalable, and reliable solution for next-generation RTL design workflows. This improves the quality of hardware design, reduces complexity, and increases the productivity of hardware design in modern semiconductor technology.
