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High-throughput imaging workflows, such as Parallel Rapid Imaging with Spectroscopic Mapping (PRISM), generate data at rates that exceed conventional real-time processing capabilities. We present a scalable FPGA-based preprocessing pipeline…

Hardware Architecture · Computer Science 2025-11-26 Weichien Liao

In recent years the use of FPGAs to accelerate scientific applications has grown, with numerous applications demonstrating the benefit of FPGAs for high performance workloads. However, whilst High Level Synthesis (HLS) has significantly…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-28 Gabriel Rodriguez-Canal , Nick Brown , Tim Dykes , Jessica R. Jones , Utz-Uwe Haus

We consider bandwidth matrix selection for kernel density estimators (KDEs) of density level sets in $\mathbb{R}^d$, $d \ge 2$. We also consider estimation of highest density regions, which differs from estimating level sets in that one…

Methodology · Statistics 2018-10-26 Charles R. Doss , Guangwei Weng

High-Level Synthesis (HLS) aspires to raise the level of abstraction in hardware design without sacrificing hardware efficiency. It has so far been successfully employed in signal and video processing but has found only limited use in other…

Other Computer Science · Computer Science 2014-08-25 Kimon Karras , Michaela Blott , Kees Vissers

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

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

FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and development cost of algorithm design. However,…

Hardware Architecture · Computer Science 2022-02-28 Jing Wang , Jinyang Guo , Chao Li

Spatial computing architectures promise a major stride in performance and energy efficiency over the traditional load/store devices currently employed in large scale computing systems. The adoption of high-level synthesis (HLS) from…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-24 Johannes de Fine Licht , Maciej Besta , Simon Meierhans , Torsten Hoefler

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

High-level synthesis (HLS) is a powerful tool for developing efficient hardware accelerators that rely on specialized memory systems to achieve sufficient on-chip data reuse and off-chip bandwidth utilization. However, even with HLS,…

Programming Languages · Computer Science 2026-01-26 Izumi Tanaka , Ken Sakayori , Shinya Takamaeda-Yamazaki , Naoki Kobayashi

In recent years, hardware accelerators based on field-programmable gate arrays (FPGAs) have been widely adopted, thanks to FPGAs' extraordinary flexibility. However, with the high flexibility comes the difficulty in design and optimization.…

Hardware Architecture · Computer Science 2022-07-19 Mang Yu , Sitao Huang , Deming Chen

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

With the current increase in the data produced by the Large Hadron Collider (LHC) at CERN, it becomes important to process this data in a corresponding manner. To begin with, to efficiently select events that contain relevant information…

Hardware Architecture · Computer Science 2022-12-09 Natalia Cherezova , Dmitri Mihhailov , Sergei Devadze , Artur Jutman

High-Level Synthesis (HLS) has transformed the development of complex Hardware IPs (HWIP) by offering abstraction and configurability through languages like SystemC/C++, particularly for Field Programmable Gate Array (FPGA) accelerators in…

Cryptography and Security · Computer Science 2024-05-31 Mukta Debnath , Animesh Basak Chowdhury , Debasri Saha , Susmita Sur-Kolay

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

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

Profiling is important for performance optimization by providing real-time observations and measurements of important parameters of hardware execution. Existing profiling tools for High-Level Synthesis (HLS) IPs running on FPGAs are far…

Hardware Architecture · Computer Science 2025-04-02 Rui Shi , Seda Ogrenci

High-level synthesis (HLS) notably speeds up the hardware design process by avoiding RTL programming. However, the turnaround time of HLS increases significantly when post-route quality of results (QoR) are considered during optimization.…

Hardware Architecture · Computer Science 2024-01-18 Mingzhe Gao , Jieru Zhao , Zhe Lin , Minyi Guo

Obtaining highly accurate depth from stereo images in real time has many applications across computer vision and robotics, but in some contexts, upper bounds on power consumption constrain the feasible hardware to embedded platforms such as…

Computer Vision and Pattern Recognition · Computer Science 2019-07-19 Oscar Rahnama , Tommaso Cavallari , Stuart Golodetz , Alessio Tonioni , Thomas Joy , Luigi Di Stefano , Simon Walker , Philip H. S. Torr

In this work we evaluate the potential of FPGAs for accelerating HPC workloads as a more power-efficient alternative to GPUs. Using High-Level Synthesis and a large set of optimization techniques, we show that FPGAs can achieve better…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-17 Hamid Reza Zohouri