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Verification presents a major bottleneck in Integrated Circuit (IC) development, consuming nearly 70% of the total development effort. While the Universal Verification Methodology (UVM) is widely used in industry to improve verification…

Hardware Architecture · Computer Science 2026-04-08 Junhao Ye , Yuchen Hu , Ke Xu , Dingrong Pan , Qichun Chen , Jie Zhou , Shuai Zhao , Xinwei Fang , Xi Wang , Nan Guan , Zhe Jiang

Verification presents a major bottleneck in Integrated Circuit (IC) development, consuming nearly 70% of total effort. While the Universal Verification Methodology (UVM) improves reuse through structured verification environments,…

Hardware Architecture · Computer Science 2026-05-08 Junhao Ye , Dingrong Pan , Hanyuan Liu , Yuchen Hu , Jie Zhou , Ke Xu , Xinwei Fang , Xi Wang , Nan Guan , Zhe Jiang

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

Recently, the use of large language models (LLMs) for Verilog code generation has attracted great research interest to enable hardware design automation. However, previous works have shown a gap between the ability of LLMs and the practical…

Programming Languages · Computer Science 2025-01-10 Yiyao Yang , Fu Teng , Pengju Liu , Mengnan Qi , Chenyang Lv , Ji Li , Xuhong Zhang , Zhezhi He

In digital circuit design, testbenches constitute the cornerstone of simulation-based hardware verification. Traditional methodologies for testbench generation during simulation-based hardware verification still remain partially manual,…

Software Engineering · Computer Science 2024-08-21 Ruidi Qiu , Grace Li Zhang , Rolf Drechsler , Ulf Schlichtmann , Bing Li

With the unprecedented advancements in Large Language Models (LLMs), their application domains have expanded to include code generation tasks across various programming languages. While significant progress has been made in enhancing LLMs…

Software Engineering · Computer Science 2024-06-10 Prashanth Vijayaraghavan , Luyao Shi , Stefano Ambrogio , Charles Mackin , Apoorva Nitsure , David Beymer , Ehsan Degan

Hardware design verification (DV) is a process that checks the functional equivalence of a hardware design against its specifications, improving hardware reliability and robustness. A key task in the DV process is the test stimuli…

Machine Learning · Computer Science 2025-03-26 Zixi Zhang , Balint Szekely , Pedro Gimenes , Greg Chadwick , Hugo McNally , Jianyi Cheng , Robert Mullins , Yiren Zhao

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

High-level synthesis (HLS) transforms an algorithmic description of hardware from a higher abstraction (e.g., C/C++) into a register-transfer level (RTL) design, offering reduced development time and greater flexibility in design space…

Hardware Architecture · Computer Science 2026-04-27 Xiaofeng Zhou , Linfeng Du , Guangyu Hu , Sharad Sinha , Hongce Zhang , Wei Zhang

Functional simulation is an essential step in digital hardware design. Recently, there has been a growing interest in leveraging Large Language Models (LLMs) for hardware testbench generation tasks. However, the inherent instability…

Software Engineering · Computer Science 2024-11-14 Ruidi Qiu , Grace Li Zhang , Rolf Drechsler , Ulf Schlichtmann , Bing Li

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

Recent advances in large language models (LLMs) have demonstrated strong performance in generating code for general-purpose programming languages. However, their potential for hardware description languages (HDLs), such as SystemVerilog,…

Hardware Architecture · Computer Science 2025-07-16 Arnav Sheth , Ivaxi Sheth , Mario Fritz

Recent advances in large language models have improved code generation, but their use in hardware description languages is still limited. Moreover, training data and testbenches for these models are often scarce. This paper presents a…

Hardware Architecture · Computer Science 2026-04-20 Mu-Chi Chen , Po-Hsuan Huang , Yu-Hung Kao , Yen-Fu Liu , Yu-Kai Hung , Cheng Liang , Shao-Chun Ho , Chia-Heng Tu , Shih-Hao Hung

Automated unit test generation is critical for software quality but traditional structure-driven methods often lack the semantic understanding required to produce realistic inputs and oracles. Large language models (LLMs) address this…

Software Engineering · Computer Science 2026-01-01 Bei Chu , Yang Feng , Kui Liu , Zhaoqiang Guo , Yichi Zhang , Hange Shi , Zifan Nan , Baowen Xu

The usage of Large Language Models (LLMs) for software and test development has continued to increase since LLMs were first introduced, but only recently have the expectations of LLMs become more realistic. Verifying the correctness of code…

Software Engineering · Computer Science 2025-08-20 Zachariah Sollenberger , Rahul Patel , Saieda Ali Zada , Sunita Chandrasekaran

Automating hardware design could obviate a significant amount of human error from the engineering process and lead to fewer errors. Verilog is a popular hardware description language to model and design digital systems, thus generating…

Programming Languages · Computer Science 2022-12-22 Shailja Thakur , Baleegh Ahmad , Zhenxing Fan , Hammond Pearce , Benjamin Tan , Ramesh Karri , Brendan Dolan-Gavitt , Siddharth Garg

Recent advances in code generation have illuminated the potential of employing large language models (LLMs) for general-purpose programming languages such as Python and C++, opening new opportunities for automating software development and…

Machine Learning · Computer Science 2025-03-06 Jiahao Gai , Hao Mark Chen , Zhican Wang , Hongyu Zhou , Wanru Zhao , Nicholas Lane , Hongxiang Fan

Visualization is central to scientific discovery, yet authoring tools remain split between information and scientific visualization, and expertise in one rarely transfers to the other. Large Language Model (LLM) based systems promise to…

Human-Computer Interaction · Computer Science 2026-04-14 Alexandra Irger , Ella Hugie , Minghao Guo , Simon Warchol , Kenneth Moreland , David Pugmire , Wojciech Matusik , Hanspeter Pfister

The automatic generation of Verilog code using Large Language Models (LLMs) has garnered significant interest in hardware design automation. However, existing benchmarks for evaluating LLMs in Verilog generation fall short in replicating…

Machine Learning · Computer Science 2025-07-23 Pengwei Jin , Di Huang , Chongxiao Li , Shuyao Cheng , Yang Zhao , Xinyao Zheng , Jiaguo Zhu , Shuyi Xing , Bohan Dou , Rui Zhang , Zidong Du , Qi Guo , Xing Hu

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 specifically for evaluating LLM performance in the context of…

Machine Learning · Computer Science 2023-12-12 Mingjie Liu , Nathaniel Pinckney , Brucek Khailany , Haoxing Ren
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