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Related papers: Generate Compilers from Hardware Models!

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FPGAs have found their way into data centers as accelerator cards, making reconfigurable computing more accessible for high-performance applications. At the same time, new high-level synthesis compilers like Xilinx Vitis and runtime…

Hardware Architecture · Computer Science 2021-12-16 Puya Amiri , Arsène Pérard-Gayot , Richard Membarth , Philipp Slusallek , Roland Leißa , Sebastian Hack

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…

High-Level Synthesis (HLS) enables hardware design from C/C++ kernels but requires extensive transformations, such as restructuring code, inserting pragmas, adapting data types, and repairing non-synthesizable constructs, to achieve…

Hardware Architecture · Computer Science 2025-12-05 Qingyun Zou , Nuo Chen , Yao Chen , Bingsheng He , WengFei Wong

Co-developing scientific algorithms and hardware accelerators requires domain-specific knowledge and large engineering resources. This leads to a slow development pace and high project complexity, which creates a barrier to entry that is…

Software Engineering · Computer Science 2025-03-13 Benedict Short , Ian McInerney , John Wickerson

With the rapidly increasing complexity of modern chips, hardware engineers are required to invest more effort in tasks such as circuit design, verification, and physical implementation. These workflows often involve continuous…

Systems and Control · Electrical Eng. & Systems 2024-10-25 Kangwei Xu , Ruidi Qiu , Zhuorui Zhao , Grace Li Zhang , Ulf Schlichtmann , Bing Li

In the past few years, Large Language Models (LLMs) have exploded in usefulness and popularity for code generation tasks. However, LLMs still struggle with accuracy and are unsuitable for high-risk applications without additional oversight…

Software Engineering · Computer Science 2024-10-29 William Murphy , Nikolaus Holzer , Feitong Qiao , Leyi Cui , Raven Rothkopf , Nathan Koenig , Mark Santolucito

A deep-learning inference accelerator is synthesized from a C-language software program parallelized with Pthreads. The software implementation uses the well-known producer/consumer model with parallel threads interconnected by FIFO queues.…

Machine Learning · Computer Science 2018-07-30 Jin Hee Kim , Brett Grady , Ruolong Lian , John Brothers , Jason H. Anderson

Large Language Models (LLMs) have shown tremendous promise in automated software engineering. In this paper, we investigate the opportunities of LLMs for automatic regression test generation for programs that take highly structured,…

Software Engineering · Computer Science 2025-01-22 Jing Liu , Seongmin Lee , Eleonora Losiouk , Marcel Böhme

Hardware decompilation reverses logic synthesis, converting a gate-level digital electronic design, or netlist, back up to hardware description language (HDL) code. Existing techniques decompile data-oriented features in netlists, like…

Hardware Architecture · Computer Science 2024-09-06 Varun Rao , Zachary D. Sisco

C/C++/OpenCL-based high-level synthesis (HLS) becomes more and more popular for field-programmable gate array (FPGA) accelerators in many application domains in recent years, thanks to its competitive quality of results (QoR) and short…

Hardware Architecture · Computer Science 2021-05-07 Yuze Chi , Licheng Guo , Jason Lau , Young-kyu Choi , Jie Wang , Jason Cong

A compiler processes the code written in a high level language and produces machine executable code. The compiler writers often face the challenge of keeping the compilation times reasonable. That is because aggressive optimization passes…

Programming Languages · Computer Science 2019-05-30 Sanket Tavarageri

Requirements elicitation is an important phase of any software project: the errors in requirements are more expensive to fix than the errors introduced at later stages of software life cycle. Nevertheless, many projects do not devote…

Software Engineering · Computer Science 2021-05-18 Maria Naumcheva

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

PCIe-connected FPGAs are gaining popularity as an accelerator technology in data centers. However, it is challenging to jointly develop and debug host software and FPGA hardware. Changes to the hardware design require a time-consuming FPGA…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-28 Shenghsun Cho , Mrunal Patel , Basavaraj Kaladagi , Han Chen , Tapti Palit , Michael Ferdman , Peter Milder

Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizing designs for performance requirements, generating…

Computational Engineering, Finance, and Science · Computer Science 2024-09-06 Hongrui Chen , Aditya Joglekar , Zack Rubinstein , Bradley Schmerl , Gary Fedder , Jan de Nijs , David Garlan , Stephen Smith , Levent Burak Kara

We present a High-Level Python-based Hardware Description Language (HDPython), It uses Python as its source language and converts it to standard VHDL. Compared to other approaches of building converters from a high-level programming…

Programming Languages · Computer Science 2023-01-30 R. Peschke , K. Nishimura , G. Varner

To take full advantage of a specific hardware target, performance engineers need to gain control on compilers in order to leverage their domain knowledge about the program and hardware. Yet, modern compilers are poorly controlled, usually…

Programming Languages · Computer Science 2024-09-10 Martin Paul Lücke , Oleksandr Zinenko , William S. Moses , Michel Steuwer , Albert Cohen

Large Language Models (LLM) show strong abilities in code generation, but their skill in creating efficient parallel programs is less studied. This paper explores how LLMs generate task-based parallel code from three kinds of input prompts:…

Programming Languages · Computer Science 2026-02-27 Linus Bantel , Moritz Strack , Alexander Strack , Dirk Pflüger

In Compiler Design courses, students learn how a program written in high level programming language and designed for humans understanding is systematically converted into low level assembly language understood by machines, through different…

Programming Languages · Computer Science 2022-04-14 Eduardo Adam Navas-López

High-Level Synthesis (HLS) compiles C/C++ into RTL, but exploring pragma-driven optimization choices remains expensive because each design point requires time-consuming synthesis. We propose \textbf{\DiffHLS}, a differential learning…

Machine Learning · Computer Science 2026-04-13 Zedong Peng , Zeju Li , Qiang Xu , Jieru Zhao