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This paper discusses the feasibility of using Large Language Models LLM for code generation with a particular application in designing an RISC. The paper also reviews the associated steps such as parsing, tokenization, encoding, attention…

Machine Learning · Computer Science 2024-01-22 Shadeeb Hossain , Aayush Gohil , Yizhou Wang

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

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

Modern Integrated Circuits (ICs) are becoming increasingly complex, and so is their development process. Hardware design verification entails a methodical and disciplined approach to the planning, development, execution, and sign-off of…

The automated generation of hardware register-transfer level (RTL) code with large language models (LLMs) shows promise, yet current solutions struggle to produce syntactically and functionally correct code for complex digital designs. This…

Software Engineering · Computer Science 2026-01-21 Nowfel Mashnoor , Mohammad Akyash , Hadi Kamali , Kimia Azar

Automatic test data generation (ATG) is a major topic in software engineering. In this paper, we seek to bridge the gap between the coverage criteria supported by symbolic ATG tools and the most advanced coverage criteria found in the…

Software Engineering · Computer Science 2013-08-20 Sébastien Bardin , Nikolai Kosmatov , François Cheynier

In the rapidly evolving field of Electronic Design Automation (EDA), the deployment of Large Language Models (LLMs) for Register-Transfer Level (RTL) design has emerged as a promising direction. However, silicon-grade correctness remains…

Hardware Architecture · Computer Science 2026-01-28 Jiale Liu , Taiyu Zhou , Tianqi Jiang

The rise of automated code generation tools, such as large language models (LLMs), has introduced new challenges in ensuring the correctness and efficiency of scientific software, particularly in complex kernels, where numerical stability,…

Programming Languages · Computer Science 2025-01-17 Naifeng Zhang , Sanil Rao , Mike Franusich , Franz Franchetti

RTL implementations frequently lack up-to-date or consistent specifications, making comprehension, maintenance, and verification costly and error-prone. While prior work has explored generating specifications from RTL using large language…

Hardware Architecture · Computer Science 2026-03-04 Fu-Chieh Chang , Yu-Hsin Yang , Hung-Ming Huang , Yun-Chia Hsu , Yin-Yu Lin , Ming-Fang Tsai , Chun-Chih Yang , Pei-Yuan Wu

Software testing is the process of determining the precision, quality, completeness and security of the software systems. An important step in testing software is the generation of test cases, whose quality plays a vital role in determining…

Software Engineering · Computer Science 2015-09-29 Jai Manral

Automating unit test generation remains a significant challenge, particularly for complex methods in real-world projects. While Large Language Models (LLMs) have made strides in code generation, they struggle to achieve high branch coverage…

Software Engineering · Computer Science 2025-09-01 Sijia Gu , Noor Nashid , Ali Mesbah

Large Language Models (LLMs) have shown promising progress for generating Register Transfer Level (RTL) hardware designs, largely because they can rapidly propose alternative architectural realizations. However, single-shot LLM generation…

Hardware Architecture · Computer Science 2026-04-20 Shiva Ahir , Prajna Bhat , Alex Doboli

Developing safety-critical automotive software presents significant challenges due to increasing system complexity and strict regulatory demands. This paper proposes a novel framework integrating Generative Artificial Intelligence (GenAI)…

Software Engineering · Computer Science 2025-06-05 Sven Kirchner , Alois C. Knoll

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

The integration of large language models (LLMs) into electronic design automation (EDA) has significantly advanced the field, offering transformative benefits, particularly in register transfer level (RTL) code generation and understanding.…

Hardware Architecture · Computer Science 2025-06-23 Yi Liu , Hongji Zhang , Yunhao Zhou , Zhengyuan Shi , Changran Xu , Qiang Xu

A critical stage in the evolving landscape of VLSI design is the design phase that is transformed into register-transfer level (RTL), which specifies system functionality through hardware description languages like Verilog. Generally,…

Artificial Intelligence · Computer Science 2025-02-25 Anindita Chattopadhyay , Vijay Kumar Sutrakar

Various logic-locking schemes have been proposed to protect hardware from intellectual property piracy and malicious design modifications. Since traditional locking techniques are applied on the gate-level netlist after logic synthesis,…

Cryptography and Security · Computer Science 2022-04-08 Dominik Sisejkovic , Luca Collini , Benjamin Tan , Christian Pilato , Ramesh Karri , Rainer Leupers

Unit level test has been widely recognized as an important approach to improve the software quality, as it can expose bugs earlier during the development phase. However, manual unit level test development is often tedious and insufficient.…

Software Engineering · Computer Science 2022-06-02 Ning Luo , Linlin Zhang

The increasing design complexity of System-on-Chips (SoCs) has led to significant verification challenges, particularly in meeting coverage targets within a timely manner. At present, coverage closure is heavily dependent on constrained…

Artificial Intelligence · Computer Science 2025-12-09 Deepak Narayan Gadde , Thomas Nalapat , Aman Kumar , Djones Lettnin , Wolfgang Kunz , Sebastian Simon

Testing is one of the most indispensable tasks in software engineering. The role of testing in software development has grown significantly because testing is able to reveal defects in the code in an early stage of development. Many unit…

Software Engineering · Computer Science 2010-12-07 Norbert Pataki