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This paper explains how to develop Verilog hardware description language (HDL) optimized flow graph compiled simulators. It is claimed that the methods and algorithms described here can be applied in the development of flow graph compilers…

Programming Languages · Computer Science 2018-01-16 Steven Meyer

In this work, we introduce a platform for register-transfer level (RTL) architecture design space exploration. The platform is an open-source, parameterized, synthesizable set of RTL modules for designing RISC-V based single and multi-core…

Hardware Architecture · Computer Science 2019-08-28 Sahan Bandara , Alan Ehret , Donato Kava , Michel A. Kinsy

Recently, the use of large language models (LLMs) for software code generation, e.g., C/C++ and Python, has proven a great success. However, LLMs still suffer from low syntactic and functional correctness when it comes to the generation of…

Hardware Architecture · Computer Science 2024-07-29 Mingzhe Gao , Jieru Zhao , Zhe Lin , Wenchao Ding , Xiaofeng Hou , Yu Feng , Chao Li , Minyi Guo

This project focuses on making a RISC-V CPU Core using the Logisim software. RISC-V is significant because it will allow smaller device manufacturers to build hardware without paying royalties and allow developers and researchers to design…

Hardware Architecture · Computer Science 2023-12-05 Siddesh D. Patil , Premraj V. Jadhav , Siddharth Sankhe

In vulnerability assessments, software component-based CVE attribution is a common method to identify possibly vulnerable systems at scale. However, such version-centric approaches yield high false-positive rates for binary distributed…

Cryptography and Security · Computer Science 2022-09-13 René Helmke , Johannes vom Dorp

Large Language Models (LLMs) have made tremendous strides in code generation, but existing research fails to account for the dynamic nature of software development, marked by frequent library updates. This gap significantly limits LLMs'…

Software Engineering · Computer Science 2024-10-17 Tongtong Wu , Weigang Wu , Xingyu Wang , Kang Xu , Suyu Ma , Bo Jiang , Ping Yang , Zhenchang Xing , Yuan-Fang Li , Gholamreza Haffari

Virtualization is a key technology used in a wide range of applications, from cloud computing to embedded systems. Over the last few years, mainstream computer architectures were extended with hardware virtualization support, giving rise to…

Hardware Architecture · Computer Science 2023-08-07 Bruno Sá , Luca Valente , José Martins , Davide Rossi , Luca Benini , Sandro Pinto

Many RISC-V (RV) platforms and SoCs have been announced in recent years targeting the HPC sector, but only a few of them are commercially available and engineered to fit the HPC requirements. The Monte Cimone project targeted assessing…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-03 Emanuele Venieri , Simone Manoni , Gabriele Ceccolini , Giacomo Madella , Federico Ficarelli , Daniele Gregori , Daniele Cesarini , Luca Benini , Andrea Bartolini

Scalable Vector Graphics (SVG) are an essential format for technical illustration and digital design, offering precise resolution independence and flexible semantic editability. In practice, however, original vector source files are…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qijia He , Xunmei Liu , Hammaad Memon , Ziang Li , Zixian Ma , Jaemin Cho , Jason Ren , Daniel S Weld , Ranjay Krishna

Semiconductor companies have increasingly adopted a methodology that starts with a system-level design specification in C/C++/SystemC. This model is extensively simulated to ensure correct functionality and performance. Later, a Register…

Software Engineering · Computer Science 2016-09-02 Rajdeep Mukherjee , Saurabh Joshi , Andreas Griesmayer , Daniel Kroening , Tom Melham

Embedded systems are pervasively used in many fields nowadays. In mixed-criticality environments (automotive, industry 4.0, drones, etc.) they need to run real-time applications with certain time and safety constraints alongside a rich…

Cryptography and Security · Computer Science 2021-11-05 Flavia Caforio , Pierpaolo Iannicelli , Michele Paolino , Daniel Raho

Large language models (LLMs) have improved Verilog generation from natural-language specifications, but most pipelines still treat generation as isolated sampling followed by functional checking. This is insufficient for practical RTL…

Computation and Language · Computer Science 2026-05-27 Zehua Pei , Hui-Ling Zhen , Yu Zhang , Sinno Jialin Pan , Mingxuan Yuan , Bei Yu

Rust is a programming language that combines memory safety and low-level control, providing C-like performance while guaranteeing the absence of undefined behaviors by default. Rust's growing popularity has prompted research on safe and…

Programming Languages · Computer Science 2024-05-28 Aidan Z. H. Yang , Yoshiki Takashima , Brandon Paulsen , Josiah Dodds , Daniel Kroening

Progress in hardware model checking depends critically on high-quality benchmarks. However, the community faces a significant benchmark gap: existing suites are limited in number, often distributed only in representations such as BTOR2…

Hardware Architecture · Computer Science 2026-02-27 Guangyu Hu , Xiaofeng Zhou , Wei Zhang , Hongce Zhang

Recent advancements in large language models (LLMs) suggest great promises in code and proof generations. However, scaling automated formal verification to real-world projects requires resolving cross-module dependencies and global…

Software Engineering · Computer Science 2025-10-01 Si Cheng Zhong , Xujie Si

Detecting vulnerabilities in source code remains critical yet challenging, as conventional static analysis tools construct inaccurate program representations, while existing LLM-based approaches often miss essential vulnerability context…

Software Engineering · Computer Science 2026-04-14 Yiheng Cao , Yihao Chen , Xin Hu , Bihuan Chen , Jiayi Deng , Zhuotong Zhou , Susheng Wu , Yiheng Huang , Xueying Du , Xingman Chen , Miaohua Li , Xin Peng

This article describes the ARM Scalable Vector Extension (SVE). Several goals guided the design of the architecture. First was the need to extend the vector processing capability associated with the ARM AArch64 execution state to better…

Despite substantial advances in scaling test-time compute, an ongoing debate in the community is how it should be scaled up to enable continued and efficient improvements with scaling. There are largely two approaches: first, distilling…

Machine Learning · Computer Science 2025-02-19 Amrith Setlur , Nived Rajaraman , Sergey Levine , Aviral Kumar

Recent advancements in code generation have shown remarkable success across software domains, yet hardware description languages (HDLs) such as Verilog remain underexplored due to their concurrency semantics, syntactic rigidity, and…

Machine Learning · Computer Science 2025-08-27 Fu Teng , Miao Pan , Xuhong Zhang , Zhezhi He , Yiyao Yang , Xinyi Chai , Mengnan Qi , Liqiang Lu , Jianwei Yin

It has always been difficult to balance the accuracy and performance of ISSs. RTL simulators or systems such as gem5 are used to execute programs in a cycle-accurate manner but are often prohibitively slow. In contrast, functional…

Hardware Architecture · Computer Science 2020-05-26 Xuan Guo , Robert Mullins
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