VHDLSuite Benchmarks LLMs for VHDL Hardware Design

Yijun Shen, Minghao Shao, Yichen Zhao, Zhuoyan Yu, Boyuan Chen, Yik-Cheung Tam, Muhammad Shafique· June 15, 2026 View original

Summary

VHDLSuite is a new benchmark infrastructure designed to evaluate large language models' capabilities in generating VHDL code, addressing a gap in current LLM hardware description language assessment. It includes automated benchmark synthesis, executable validation, and multi-model diagnostic analysis, along with a dataset of over 200 VHDL problems.

While large language models (LLMs) have shown promise in generating Register Transfer Level (RTL) code, particularly for Verilog, their performance with other hardware description languages (HDLs) like VHDL has been less explored. VHDL's stricter semantic rules introduce unique evaluation challenges, limiting a full understanding of LLM generalization across different HDL structures. To bridge this gap, researchers introduce VHDLSuite, a comprehensive, benchmark-centered infrastructure for scalable VHDL generation evaluation. This suite features an automated data pipeline that converts existing Verilog designs and testbenches into executable VHDL benchmark instances. These instances undergo rigorous validation using VUnit/GHDL to ensure they are compilable, runnable, and consistently checkable within the VHDL environment. VHDLSuite also includes VHDLBench, a new benchmark comprising over 200 VHDL problems of varying complexity, each with complete and validated testbenches. Extensive evaluations of cutting-edge LLMs using VHDLSuite have uncovered specific challenges in LLM-aided VHDL generation. These findings provide critical insights for future research and development in multi-language hardware design automation, with the entire pipeline, benchmark, and evaluation framework slated for open-source release.

Why it matters

This work is crucial for hardware engineers and AI developers looking to expand LLM utility beyond Verilog, enabling more robust and versatile AI-driven hardware design automation across different industry-standard languages.

How to implement this in your domain

  1. 1Utilize VHDLSuite to benchmark and select LLMs for VHDL code generation in hardware design projects.
  2. 2Integrate the VHDLSuite data pipeline to convert existing Verilog assets into VHDL for LLM training.
  3. 3Apply VHDLBench problems to fine-tune LLMs for specific VHDL design tasks.
  4. 4Develop internal evaluation frameworks based on VHDLSuite's methodology for continuous LLM performance monitoring.
  5. 5Contribute to the open-source VHDLSuite project to enhance its capabilities and expand the benchmark.

Who benefits

SemiconductorElectronics ManufacturingDefenseAerospaceIndustrial Automation

Key takeaways

  • VHDLSuite provides a much-needed benchmark for evaluating LLMs in VHDL code generation.
  • It includes a data pipeline for converting Verilog to VHDL and a benchmark of over 200 problems.
  • The framework enables automated validation and multi-model diagnostic analysis.
  • Findings highlight specific challenges for LLMs in VHDL, guiding future development.

Original post by Yijun Shen, Minghao Shao, Yichen Zhao, Zhuoyan Yu, Boyuan Chen, Yik-Cheung Tam, Muhammad Shafique

"arXiv:2606.13735v1 Announce Type: cross Abstract: Large Language Models (LLM) have shown impressive capabilities in Register Transfer Level (RTL) code generation, particularly for Verilog. However, evaluating their performance with other Hardware Description Languages (HDL), espe…"

View on X

Originally posted by Yijun Shen, Minghao Shao, Yichen Zhao, Zhuoyan Yu, Boyuan Chen, Yik-Cheung Tam, Muhammad Shafique on X · view source

Want to go deeper?

Turn these trends into skills with Learnijoy's hands-on AI & tech courses.

Explore courses