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Modern Hardware Description Languages (HDLs) such as SystemVerilog or VHDL are, due to their sheer complexity, insufficient to transport designs through modern circuit design flows. Instead, each design automation tool lowers HDLs to its…

Programming Languages · Computer Science 2020-04-08 Fabian Schuiki , Andreas Kurth , Tobias Grosser , Luca Benini

Large Language Models (LLMs) have recently achieved strong performance in software code generation. However, applying them to hardware description languages (HDLs), such as Verilog, remains challenging because high-quality training data are…

Hardware Architecture · Computer Science 2026-04-21 Yan Tan , Tong Liu , Xiangchen Meng , Yangdi Lyu

Large Language Models (LLMs) have demonstrated capabilities for producing code in Hardware Description Languages (HDLs). However, most of the focus remains on their abilities to write functional code, not test code. The hardware design…

Hardware Architecture · Computer Science 2024-12-03 Jason Blocklove , Siddharth Garg , Ramesh Karri , Hammond Pearce

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

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

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 great potential in automating the generation of Verilog hardware description language code for hardware design. This automation is critical to reducing human effort in the complex and…

Hardware Architecture · Computer Science 2025-08-20 Ping Guo , Yiting Wang , Wanghao Ye , Yexiao He , Ziyao Wang , Xiaopeng Dai , Ang Li , Qingfu Zhang

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

Recent advancements in large language models (LLMs) have shown significant potential for automating hardware description language (HDL) code generation from high-level natural language instructions. While fine-tuning has improved LLMs'…

Hardware Architecture · Computer Science 2025-02-27 Yi Liu , Changran Xu , Yunhao Zhou , Zeju Li , Qiang Xu

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

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

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

Large Language Models (LLMs) have recently shown promise in streamlining hardware design processes by encapsulating vast amounts of domain-specific data. In addition, they allow users to interact with the design processes through natural…

Machine Learning · Computer Science 2024-07-04 Yongan Zhang , Zhongzhi Yu , Yonggan Fu , Cheng Wan , Yingyan Celine Lin

The increasing complexity and demand for faster, energy-efficient hardware designs necessitate innovative High-Level Synthesis (HLS) methodologies. This paper explores the potential of Large Language Models (LLMs) to streamline or replace…

Hardware Architecture · Computer Science 2024-08-21 Yuchao Liao , Tosiron Adegbija , Roman Lysecky

Code generation has emerged as a critical research area at the intersection of Software Engineering (SE) and Artificial Intelligence (AI), attracting significant attention from both academia and industry. Within this broader landscape,…

Generating synthesizable Verilog for large, hierarchical hardware designs remains a significant challenge for large language models (LLMs), which struggle to replicate the structured reasoning that human experts employ when translating…

Hardware Architecture · Computer Science 2026-04-21 Sazzadul Islam , Tasnim Tabassum , Hao Zheng

Modern hardware design starts with specifications provided in natural language. These are then translated by hardware engineers into appropriate Hardware Description Languages (HDLs) such as Verilog before synthesizing circuit elements.…

Machine Learning · Computer Science 2023-11-15 Jason Blocklove , Siddharth Garg , Ramesh Karri , Hammond Pearce

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

The design flow of processors, particularly in hardware description languages (HDL) like Verilog and Chisel, is complex and costly. While recent advances in large language models (LLMs) have significantly improved coding tasks in software…

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
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