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FPGA programming is more complex as compared to Central Processing Units (CPUs) and Graphics Processing Units (GPUs). The coding languages to define the abstraction of Register Transfer Level (RTL) in High Level Synthesis (HLS) for FPGA…

Hardware Architecture · Computer Science 2024-10-04 Rourab Paul , Alberto Ottimo , Marco Danelutto

Innovative Electronic Design Automation (EDA) solutions are important to meet the design requirements for increasingly complex electronic devices. Verilog, a hardware description language, is widely used for the design and verification of…

Machine Learning · Computer Science 2023-06-08 Enrique Dehaerne , Bappaditya Dey , Sandip Halder , Stefan De Gendt

High-Level Synthesis enables the rapid prototyping of hardware accelerators, by combining a high-level description of the functional behavior of a kernel with a set of micro-architecture optimizations as inputs. Such optimizations can be…

Hardware Architecture · Computer Science 2025-02-11 Stéphane Pouget , Louis-Noël Pouchet , Jason Cong

The rapid development of generative technology opens up possibility for higher level of automation, and artificial intelligence (AI) embodiment in robotic systems is imminent. However, due to the blackbox nature of the generative…

Robotics · Computer Science 2024-03-22 Yihao Liu , Mehran Armand

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

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…

High-level synthesis (HLS) refers to the automatic translation of a software program written in a high-level language into a hardware design. Modern HLS tools have moved away from the traditional approach of static (compile time) scheduling…

Hardware Architecture · Computer Science 2023-08-23 Aditya Rajagopal , Diederik Adriaan Vink , Jianyi Cheng , Yann Herklotz

Implementing image processing algorithms using FPGAs or ASICs can improve energy efficiency by orders of magnitude over optimized CPU, DSP, or GPU code. These efficiency improvements are crucial for enabling new applications on mobile…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-26 James Hegarty , Omar Eldash , Amr Suleiman , Armin Alaghi

Reconfigurable computing refers to the use of processors, such as Field Programmable Gate Arrays (FPGAs), that can be modified at the hardware level to take on different processing tasks. A reconfigurable computing platform describes the…

Hardware Architecture · Computer Science 2007-05-23 Darran Nathan , Kelvin Lim Mun Kit , Kelly Choo Hon Min , Philip Wong Jit Chin , Andreas Weisensee

Register Transfer Level (RTL) design validation is a crucial stage in the hardware design process. We present a new approach to enhancing RTL design validation using available software techniques and tools. Our approach converts the source…

Software Engineering · Computer Science 2016-02-22 Yu Zhang , Wenlong Feng , Mengxing Huang

In this paper we present SADDLE, a modular framework for automated design of cluster supercomputers and data centres. In contrast with commonly used approaches that operate on logic gate level (Verilog, VHDL) or board level (such as EDA…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-07 Konstantin S. Solnushkin

Large Language Models (LLMs) are gaining popularity for hardware design automation, particularly through Register Transfer Level (RTL) code generation. In this work, we examine the current literature on RTL generation using LLMs and…

Hardware Architecture · Computer Science 2025-07-21 Paul E. Calzada , Zahin Ibnat , Tanvir Rahman , Kamal Kandula , Danyu Lu , Sujan Kumar Saha , Farimah Farahmandi , Mark Tehranipoor

Machine Learning (ML) has recently been a skyrocketing field in Computer Science. As computer hardware engineers, we are enthusiastic about hardware implementations of popular software ML architectures to optimize their performance,…

Hardware Architecture · Computer Science 2023-06-27 Shichen Qiao , Haining Qiu , Lingkai Zhao , Qikun Liu , Eric J. Hoffman

The rise of agentic AI workflows unlocks novel opportunities for computer systems design and optimization. However, for specialized domains such as program synthesis, the relative scarcity of HDL and proprietary EDA resources online…

Hardware Architecture · Computer Science 2025-09-25 Amulya Bhattaram , Janani Ramamoorthy , Ranit Gupta , Diana Marculescu , Dimitrios Stamoulis

The development of user-friendly embedded prototyping systems like Arduino has made creating interactive devices more accessible. However, debugging these systems is challenging due to the intertwined nature of software and hardware issues.…

Human-Computer Interaction · Computer Science 2026-03-05 Andrea Bianchi , Zhi Lin Yap , Punn Lertjaturaphat , Austin Z. Henley , Kongpyung Justin Moon , Yoonji Kim

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

FPGAs provide highly parallel and customizable hardware solutions but are traditionally programmed using low-level Hardware Description Languages (HDLs) like VHDL and Verilog. These languages have a low level of abstraction and require…

Hardware Architecture · Computer Science 2025-04-11 Hendrik Folmer

With the unprecedented advancements in Large Language Models (LLMs), their application domains have expanded to include code generation tasks across various programming languages. While significant progress has been made in enhancing LLMs…

Software Engineering · Computer Science 2024-06-10 Prashanth Vijayaraghavan , Luyao Shi , Stefano Ambrogio , Charles Mackin , Apoorva Nitsure , David Beymer , Ehsan Degan

Microfluidic devices have emerged as powerful tools in various laboratory applications, but the complexity of their design limits accessibility for many practitioners. While progress has been made in microfluidic design automation (MFDA), a…

Artificial Intelligence · Computer Science 2026-02-25 Jasper Davidson , Skylar Stockham , Allen Boston , Ashton Snelgrove , Valerio Tenace , Pierre-Emmanuel Gaillardon