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Related papers: Bottom-Up Generation of Verilog Designs for Testin…

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The paper addresses advancements in Generative Artificial Intelligence (GenAI) and digital chip design, highlighting the integration of Large Language Models (LLMs) in automating hardware description and design. LLMs, known for generating…

Hardware Architecture · Computer Science 2024-12-16 Aditya Patra , Saroj Rout , Arun Ravindran

Limitations in Large Language Model (LLM) capabilities for hardware design tasks, such as generating functional Verilog codes, have motivated various fine-tuning optimizations utilizing curated hardware datasets from open-source…

Artificial Intelligence · Computer Science 2025-07-02 Sam Bush , Matthew DeLorenzo , Phat Tieu , Jeyavijayan Rajendran

The integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) and hardware security is rapidly reshaping the semiconductor industry. While LLMs offer unprecedented capabilities in generating Register Transfer Level…

Cryptography and Security · Computer Science 2026-05-21 Johann Knechtel , Ozgur Sinanoglu , Ramesh Karri

Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention.…

Hardware Architecture · Computer Science 2024-07-12 Kaiyan Chang , Zhirong Chen , Yunhao Zhou , Wenlong Zhu , kun wang , Haobo Xu , Cangyuan Li , Mengdi Wang , Shengwen Liang , Huawei Li , Yinhe Han , Ying Wang

Large Language Models (LLMs) have demonstrated remarkable potential in debugging for various programming languages. However, the application of LLMs to Verilog debugging remains insufficiently explored. Here, we present VeriDebug, an…

Software Engineering · Computer Science 2025-04-29 Ning Wang , Bingkun Yao , Jie Zhou , Yuchen Hu , Xi Wang , Nan Guan , Zhe Jiang

Veryl, a hardware description language based on SystemVerilog, offers optimized syntax tailored for logic design, ensuring synthesizability and simplifying common constructs. It prioritizes interoperability with SystemVerilog, allowing for…

Hardware Architecture · Computer Science 2024-11-21 Naoya Hatta , Taichi Ishitani , Ryota Shioya

The use of Large Language Models (LLMs) in hardware design has taken off in recent years, principally through its incorporation in tools that increase chip designer productivity. There has been considerable discussion about the use of LLMs…

Hardware Architecture · Computer Science 2025-05-20 Nicolas Dupuis , Ravi Nair , Shyam Ramji , Sean McClintock , Nishant Chauhan , Priyanka Nagpal , Bart Blaner , Ken Valk , Leon Stok , Ruchir Puri

Modern chip design is complex, and there is a crucial need for early-stage prediction of key design-quality metrics like timing and routing congestion directly from Verilog code (a commonly used programming language for hardware design). It…

Due to the growing complexity of modern Integrated Circuits (ICs), automating hardware design can prevent a significant amount of human error from the engineering process and result in less errors. Verilog is a popular hardware description…

Artificial Intelligence · Computer Science 2025-03-06 Chia-Tung Ho , Haoxing Ren , Brucek Khailany

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

The application of large-language models (LLMs) to digital hardware code generation is an emerging field, with most LLMs primarily trained on natural language and software code. Hardware code like Verilog constitutes a small portion of…

Hardware Architecture · Computer Science 2025-02-05 Nathaniel Pinckney , Christopher Batten , Mingjie Liu , Haoxing Ren , Brucek Khailany

With the rapid advancement of semiconductor technology, Electronic Design Automation (EDA) has become an increasingly knowledge-intensive and document-driven engineering domain. Although large language models (LLMs) have shown strong…

Machine Learning · Computer Science 2026-05-01 Lei Li , Xingwen Yu , Jianguo Ni , Junxuan Zhu , Jieqiong Zhang , Jian Zhao , Zhi Liu

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

Large Language Models (LLMs) have demonstrated promising capabilities in generating Verilog code from module specifications. To improve the quality of such generated Verilog codes, previous methods require either time-consuming manual…

Hardware Architecture · Computer Science 2025-02-04 Zhuorui Zhao , Ruidi Qiu , Ing-Chao Lin , Grace Li Zhang , Bing Li , Ulf Schlichtmann

Automated unit test generators, particularly search-based software testing tools like EvoSuite, are capable of generating tests with high coverage. Although these generators alleviate the burden of writing unit tests, they often pose…

Software Engineering · Computer Science 2024-08-22 Amirhossein Deljouyi , Roham Koohestani , Maliheh Izadi , Andy Zaidman

Large language models (LLMs) have shown promising capabilities in hardware description language (HDL) generation. However, existing approaches often rely on free-form natural language descriptions that are often ambiguous, redundant, and…

Machine Learning · Computer Science 2026-03-04 Lei Huang , Rui Zhang , Jiaming Guo , Yang Zhang , Di Huang , Shuyao Cheng , Pengwei Jin , Chongxiao Li , Zidong Du , Xing Hu , Yunji Chen , Qi Guo

Large language models (LLMs) have shown strong performance in Verilog generation from natural language description. However, ensuring the functional correctness of the generated code remains a significant challenge. This paper introduces a…

Hardware Architecture · Computer Science 2025-04-23 Ning Wang , Bingkun Yao , Jie Zhou , Yuchen Hu , Xi Wang , Nan Guan , Zhe Jiang

Timely detection of hardware vulnerabilities during the early design stage is critical for reducing remediation costs. Existing early detection techniques often require specialized security expertise, limiting their usability. Recent…

Cryptography and Security · Computer Science 2025-08-22 Xiang Long , Yingjie Xia , Xiyuan Chen , Li Kuang

Recently, there has been a surging interest in using large language models (LLMs) for Verilog code generation. However, the existing approaches are limited in terms of the quality of the generated Verilog code. To address such limitations,…

Machine Learning · Computer Science 2024-10-08 Bardia Nadimi , Hao Zheng

In recent years, there has been an exponential growth in the size and complexity of System-on-Chip designs targeting different specialized applications. The cost of an undetected bug in these systems is much higher than in traditional…

Hardware Architecture · Computer Science 2024-01-19 Giuseppe Stracquadanio , Sourav Medya , Stefano Quer , Debjit Pal