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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

High Level Synthesis (HLS) tools offer rapid hardware design from C code, but their compatibility is limited by code constructs. This paper investigates Large Language Models (LLMs) for refactoring C code into HLS-compatible formats. We…

Hardware Architecture · Computer Science 2025-04-15 Luca Collini , Siddharth Garg , Ramesh Karri

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

High-Level Synthesis (HLS) tools offer rapid hardware design from C code, but their compatibility is limited by code constructs. This paper investigates Large Language Models (LLMs) for automatically refactoring C code into HLS-compatible…

Hardware Architecture · Computer Science 2025-05-20 Luca Collini , Siddharth Garg , Ramesh Karri

High-level synthesis (HLS) allows hardware designers to create hardware designs with high-level programming languages like C/C++/OpenCL, which greatly improves hardware design productivity. However, existing HLS flows require programmers'…

Hardware Architecture · Computer Science 2024-10-11 Haocheng Xu , Haotian Hu , Sitao Huang

Hardware generation languages (HGLs) increase hardware design productivity by creating parameterized modules and test benches. Unfortunately, existing tools are not widely adopted due to several demerits, including limited support for…

Hardware Architecture · Computer Science 2023-09-12 Jintao Sun , Zeke Wang , Tao Lu , Wenzhi Chen

The design and optimization of hardware have traditionally been resource-intensive, demanding considerable expertise and dependence on established design automation tools. This paper discusses the possibility of exploiting large language…

Hardware Architecture · Computer Science 2024-01-18 Selim Sandal , Ismail Akturk

Random number generation is a key technology that is useful in a variety of ways. Random numbers are often used to generate keys for data encryption. Random numbers generated at a sufficiently long length can encrypt sensitive data and make…

Hardware Architecture · Computer Science 2022-09-12 Jacob Hammond

High-Level Synthesis (HLS) is emerging as a mainstream design methodology, allowing software designers to enjoy the benefits of a hardware implementation. Significant work has led to effective compilers that produce high-quality hardware…

Software Engineering · Computer Science 2015-08-28 Jeffrey Goeders , Steven J. E. Wilton

Hardware synthesis is a general term used to refer to the processes involved in automatically generating a hardware design from its specification. High-level synthesis (HLS) could be defined as the translation from a behavioral description…

Other Computer Science · Computer Science 2019-05-07 Issam Damaj

In today's rapidly evolving field of electronic design automation (EDA), the complexity of hardware designs is increasing, necessitating more sophisticated automation solutions. High-level synthesis (HLS), as a pivotal solution, automates…

Programming Languages · Computer Science 2025-08-06 M Zafir Sadik Khan , Nowfel Mashnoor , Mohammad Akyash , Kimia Azar , Hadi Kamali

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

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

High-level synthesis (HLS) tools have brought FPGA development into the mainstream, by allowing programmers to design architectures using familiar languages such as C, C++, and OpenCL. While the move to these languages has brought…

Hardware Architecture · Computer Science 2019-10-11 Johannes de Fine Licht , Torsten Hoefler

Program synthesis strives to generate a computer program as a solution to a given problem specification, expressed with input-output examples or natural language descriptions. The prevalence of large language models advances the…

Machine Learning · Computer Science 2023-03-01 Erik Nijkamp , Bo Pang , Hiroaki Hayashi , Lifu Tu , Huan Wang , Yingbo Zhou , Silvio Savarese , Caiming Xiong

Heuristic design upholds modern electronic design automation (EDA) tools, yet crafting effective placement, routing, and scheduling strategies entails substantial expertise. We study how large language models (LLMs) can systematically…

Hardware Architecture · Computer Science 2026-04-30 Shiva Ahir , Alex Doboli

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

Conditional graphic layout generation, which automatically maps user constraints to high-quality layouts, has attracted widespread attention today. Although recent works have achieved promising performance, the lack of versatility and data…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Jiawei Lin , Jiaqi Guo , Shizhao Sun , Zijiang James Yang , Jian-Guang Lou , Dongmei Zhang

High-level hardware generators have significantly increased the productivity of design engineers. They use software engineering constructs to reduce the repetition required to express complex designs and enable more composability. However,…

Hardware Architecture · Computer Science 2022-03-14 Keyi Zhang , Zain Asgar , Mark Horowitz

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
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