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Large language models (LLMs) are playing an increasingly large role in domains such as code generation, including hardware code generation, where Verilog is the key language. However, the amount of publicly available Verilog code pales in…

Hardware Architecture · Computer Science 2025-07-10 Charles Hong , Brendan Roberts , Huijae An , Alex Um , Advay Ratan , Yakun Sophia Shao

Large Language Models (LLMs) have demonstrated potential in assisting with Register Transfer Level (RTL) design tasks. Nevertheless, there remains to be a significant gap in benchmarks that accurately reflect the complexity of real-world…

Machine Learning · Computer Science 2024-05-28 Ahmed Allam , Mohamed Shalan

The automatic generation of RTL code (e.g., Verilog) using natural language instructions and large language models (LLMs) has attracted significant research interest recently. However, most existing approaches heavily rely on commercial…

Programming Languages · Computer Science 2025-08-07 Shang Liu , Wenji Fang , Yao Lu , Qijun Zhang , Hongce Zhang , Zhiyao Xie

The ever-growing popularity of large language models (LLMs) has resulted in their increasing adoption for hardware design and verification. Prior research has attempted to assess the capability of LLMs to automate digital hardware design by…

Hardware Architecture · Computer Science 2024-08-07 Sneha Swaroopa , Rijoy Mukherjee , Anushka Debnath , Rajat Subhra Chakraborty

With Large Language Models (LLMs) recently demonstrating impressive proficiency in code generation, it is promising to extend their abilities to Hardware Description Language (HDL). However, LLMs tend to generate single HDL code blocks…

Machine Learning · Computer Science 2025-10-10 Jinwei Tang , Jiayin Qin , Kiran Thorat , Chen Zhu-Tian , Yu Cao , Yang , Zhao , Caiwen Ding

Verifying hardware designs in embedded systems is crucial but often labor-intensive and time-consuming. While existing solutions have improved automation, they frequently rely on unrealistic assumptions. To address these challenges, we…

Hardware Architecture · Computer Science 2024-11-26 Yuchen Hu , Junhao Ye , Ke Xu , Jialin Sun , Shiyue Zhang , Xinyao Jiao , Dingrong Pan , Jie Zhou , Ning Wang , Weiwei Shan , Xinwei Fang , Xi Wang , Nan Guan , Zhe Jiang

Inspired by the recent success of large language models (LLMs) like ChatGPT, researchers start to explore the adoption of LLMs for agile hardware design, such as generating design RTL based on natural-language instructions. However, in…

Machine Learning · Computer Science 2023-11-14 Yao Lu , Shang Liu , Qijun Zhang , Zhiyao Xie

In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role. However, due to the complex syntax of HDLs and the limited availability of online resources, debugging HDL codes remains a difficult and time-intensive…

Hardware Architecture · Computer Science 2024-03-19 Xufeng Yao , Haoyang Li , Tsz Ho Chan , Wenyi Xiao , Mingxuan Yuan , Yu Huang , Lei Chen , Bei Yu

Large Language Models (LLMs) are computational models capable of performing complex natural language processing tasks. Leveraging these capabilities, LLMs hold the potential to transform the entire hardware design stack, with predictions…

Artificial Intelligence · Computer Science 2024-09-19 Mubashir ul Islam , Humza Sami , Pierre-Emmanuel Gaillardon , Valerio Tenace

Large language models (LLMs) have catalyzed an upsurge in automatic code generation, garnering significant attention for register transfer level (RTL) code generation. Despite the potential of RTL code generation with natural language, it…

Hardware Architecture · Computer Science 2024-08-14 Chenwei Xiong , Cheng Liu , Huawei Li , Xiaowei Li

While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs' performance in real industrial workflows. To address this…

Artificial Intelligence · Computer Science 2026-02-03 Zhongkai Yu , Chenyang Zhou , Yichen Lin , Hejia Zhang , Haotian Ye , Junxia Cui , Zaifeng Pan , Jishen Zhao , Yufei Ding

Test generation has been a critical and labor-intensive process in hardware design verification. Recently, the emergence of Large Language Model (LLM) with their advanced understanding and inference capabilities, has introduced a novel…

Software Engineering · Computer Science 2025-01-03 Ruiyang Ma , Yuxin Yang , Ziqian Liu , Jiaxi Zhang , Min Li , Junhua Huang , Guojie Luo

Recent advancements in code generation have shown remarkable success across software domains, yet hardware description languages (HDLs) such as Verilog remain underexplored due to their concurrency semantics, syntactic rigidity, and…

Machine Learning · Computer Science 2025-08-27 Fu Teng , Miao Pan , Xuhong Zhang , Zhezhi He , Yiyao Yang , Xinyi Chai , Mengnan Qi , Liqiang Lu , Jianwei Yin

The development of architecture specifications is an initial and fundamental stage of the integrated circuit (IC) design process. Traditionally, architecture specifications are crafted by experienced chip architects, a process that is not…

Hardware Architecture · Computer Science 2024-01-25 Mengming Li , Wenji Fang , Qijun Zhang , Zhiyao Xie

Large Language Models (LLMs) are gaining prominence in various fields, thanks to their ability to generate high- quality content from human instructions. This paper delves into the field of chip design using LLMs, specifically in Power-…

Hardware Architecture · Computer Science 2025-10-21 Kiran Thorat , Jiahui Zhao , Yaotian Liu , Amit Hasan , Hongwu Peng , Xi Xie , Bin Lei , Caiwen Ding

Recent advances in large language models (LLMs) have enabled near-human performance on software coding benchmarks, but their effectiveness in RTL code generation remains limited due to the scarcity of high-quality training data. While prior…

Hardware Architecture · Computer Science 2025-07-17 Chenhui Deng , Yun-Da Tsai , Guan-Ting Liu , Zhongzhi Yu , Haoxing Ren

Large Language Models (LLMs) have been applied to various hardware design tasks, including Verilog code generation, EDA tool scripting, and RTL bug fixing. Despite this extensive exploration, LLMs are yet to be used for the task of…

Hardware Architecture · Computer Science 2025-01-28 Manar Abdelatty , Jingxiao Ma , Sherief Reda

The generation of Register-Transfer Level (RTL) code is a crucial yet labor-intensive step in digital hardware design, traditionally requiring engineers to manually translate complex specifications into thousands of lines of synthesizable…

Machine Learning · Computer Science 2026-02-03 Hanqi Lyu , Di Huang , Yaoyu Zhu , Kangcheng Liu , Bohan Dou , Chongxiao Li , Pengwei Jin , Shuyao Cheng , Rui Zhang , Zidong Du , Qi Guo , Xing Hu , Yunji Chen

Portability of hardware designs between Programmable Logic Devices (PLD) can be accomplished through the use of device-agnostic hardware description languages (HDL) such as Verilog or VHDL. Hardware designers can use HDLs to migrate…

Hardware Architecture · Computer Science 2021-11-11 Nicholas V. Giamblanco , Andrew Schmidt

Large Language Models (LLMs) have demonstrated remarkable potential in hardware front-end design using hardware description languages (HDLs). However, their inherent tendency toward hallucination often introduces functional errors into the…

Artificial Intelligence · Computer Science 2025-11-21 Kangwei Xu , Grace Li Zhang , Ulf Schlichtmann , Bing Li