Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution

S Liu, W Fang, Y Lu, Q Zhang… - 2024 IEEE LLM Aided …, 2024 - ieeexplore.ieee.org
The automatic generation of RTL code (eg, Verilog) using natural language instructions and
large language models (LLMs) has attracted significant research interest recently. However …

RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model

YD Tsai, M Liu, H Ren - Proceedings of the 61st ACM/IEEE Design …, 2024 - dl.acm.org
This paper presents RTLFixer, a novel framework enabling automatic syntax errors fixing for
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …

Llm for soc security: A paradigm shift

D Saha, S Tarek, K Yahyaei, SK Saha, J Zhou… - IEEE …, 2024 - ieeexplore.ieee.org
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …

Verilogeval: Evaluating large language models for verilog code generation

M Liu, N Pinckney, B Khailany… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
The increasing popularity of large language models (LLMs) has paved the way for their
application in diverse domains. This paper proposes a benchmarking framework tailored …

Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms

Z Yan, W Fang, M Li, M Li, S Liu, Z Xie… - arXiv preprint arXiv …, 2024 - arxiv.org
Assertion-based verification (ABV) is a critical method to ensure logic designs comply with
their architectural specifications. ABV requires assertions, which are generally converted …

Llms and the future of chip design: Unveiling security risks and building trust

Z Wang, L Alrahis, L Mankali, J Knechtel… - 2024 IEEE Computer …, 2024 - ieeexplore.ieee.org
Chip design is about to be revolutionized by the integration of large language, multimodal,
and circuit models (collectively LxMs). While exploring this exciting frontier with tremendous …

Data is all you need: Finetuning llms for chip design via an automated design-data augmentation framework

K Chang, K Wang, N Yang, Y Wang, D Jin… - Proceedings of the 61st …, 2024 - dl.acm.org
Recent advances in large language models have demonstrated their potential for automated
generation of hardware description language (HDL) code from high-level prompts …

[HTML][HTML] The potential of llms in hardware design

S Alsaqer, S Alajmi, I Ahmad, M Alfailakawi - Journal of Engineering …, 2024 - Elsevier
The unprecedented success of Large Language Models (LLMs) like ChatGPT across
diverse domains such as natural language understanding and coding has paved the way for …

Mg-verilog: Multi-grained dataset towards enhanced llm-assisted verilog generation

Y Zhang, Z Yu, Y Fu, C Wan… - 2024 IEEE LLM Aided …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have recently shown promise in streamlining hardware
design processes by encapsulating vast amounts of domain-specific data. In addition, they …

Llm4eda: Emerging progress in large language models for electronic design automation

R Zhong, X Du, S Kai, Z Tang, S Xu, HL Zhen… - arXiv preprint arXiv …, 2023 - arxiv.org
Driven by Moore's Law, the complexity and scale of modern chip design are increasing
rapidly. Electronic Design Automation (EDA) has been widely applied to address the …