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FPGA technology can offer significantly hi\-gher performance at much lower power consumption than is available from CPUs and GPUs in many computational problems. Unfortunately, programming for FPGA (using ha\-rdware description languages,…

Other Computer Science · Computer Science 2015-10-01 Artur Gramacki , Marek Sawerwain , Jarosław Gramacki

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

High-level synthesis (HLS) allows hardware designers to create hardware designs with high-level programming languages like C/C++/OpenCL, which greatly improves hardware design productivity. However, existing HLS flows require programmers'…

Hardware Architecture · Computer Science 2024-10-11 Haocheng Xu , Haotian Hu , Sitao Huang

Design space exploration (DSE) is critical for developing optimized hardware architectures, especially for AI workloads such as deep neural networks (DNNs) and large language models (LLMs), which require specialized acceleration. As model…

Hardware Architecture · Computer Science 2025-08-15 Arkapravo Ghosh , Abhishek Moitra , Abhiroop Bhattacharjee , Ruokai Yin , Priyadarshini Panda

High-Level Synthesis (HLS) design space exploration (DSE) seeks Pareto-optimal designs within expansive pragma configuration spaces. To accelerate HLS DSE, graph neural networks (GNNs) are commonly employed as surrogates for HLS tools to…

Hardware Architecture · Computer Science 2026-01-09 Lei Xu , Shanshan Wang , Chenglong Xiao

Dataflow architectures are growing in popularity due to their potential to mitigate the challenges posed by the memory wall inherent to the Von Neumann architecture. At the same time, high-level synthesis (HLS) has demonstrated its efficacy…

Hardware Architecture · Computer Science 2023-11-08 Hanchen Ye , Hyegang Jun , Deming Chen

High-Level Synthesis (HLS) improves IC development productivity by enabling hardware design from C-like languages. However, strict coding constraints and design-specific optimizations limit its widespread adoption. While recent efforts…

Hardware Architecture · Computer Science 2026-04-22 Runkai Li , Jia Xiong , Xiuyuan He , Jieru Zhao , Jiaqi Lv , Haowen Fang , Lei Qi , Xi Wang

High-level synthesis (HLS) is a key component for the hardware acceleration of applications, especially thanks to the diffusion of reconfigurable devices in many domains, from data centers to edge devices. HLS reduces development times by…

Cryptography and Security · Computer Science 2021-04-06 Christian Pilato , Francesco Regazzoni

At the Large Hadron Collider, the vast amount of data from experiments demands not only sophisticated algorithms but also substantial computational power for efficient processing. This paper introduces hardware acceleration as an essential…

High Energy Physics - Experiment · Physics 2025-01-15 Pelayo Leguina López , Santiago Folgueras

Implementing an application on a FPGA remains a difficult, non-intuitive task that often requires hardware design expertise in a hardware description language (HDL). High-level synthesis (HLS) raises the design abstraction from HDL to…

Software Engineering · Computer Science 2014-08-26 Janarbek Matai , Dustin Richmond , Dajung Lee , Ryan Kastner

High-level synthesis (HLS) enables designers to customize hardware designs efficiently. However, it is still challenging to foresee the correlation between power consumption and HLS-based applications at an early design stage. To overcome…

Hardware Architecture · Computer Science 2020-09-03 Zhe Lin , Jieru Zhao , Sharad Sinha , Wei Zhang

High-level synthesis (HLS) is a widely used tool in designing Field Programmable Gate Array (FPGA). HLS enables FPGA design with software programming languages by compiling the source code into an FPGA circuit. The source code includes a…

Machine Learning · Computer Science 2025-03-17 Weikai Li , Ding Wang , Zijian Ding , Atefeh Sohrabizadeh , Zongyue Qin , Jason Cong , Yizhou Sun

Recent years have witnessed the growing popularity of domain-specific accelerators (DSAs), such as Google's TPUs, for accelerating various applications such as deep learning, search, autonomous driving, etc. To facilitate DSA designs,…

Machine Learning · Computer Science 2023-06-06 Yunsheng Bai , Atefeh Sohrabizadeh , Zongyue Qin , Ziniu Hu , Yizhou Sun , Jason Cong

To efficiently support large-scale NNs, multi-level hardware, leveraging advanced integration and interconnection technologies, has emerged as a promising solution to counter the slowdown of Moore's law. However, the vast design space of…

Hardware Architecture · Computer Science 2025-03-28 Huanyu Qu , Weihao Zhang , Junfeng Lin , Songchen Ma , Hongyi Li , Luping Shi , Chengzhong Xu

High-Level Synthesis (HLS) compiles algorithmic C/C++ descriptions into hardware, with Quality of Results (QoR) -- latency and resource utilization -- critically governed by pragma configurations and code structure. Existing LLM-based HLS…

Machine Learning · Computer Science 2026-05-14 Qingyun Zou , Feng Yu , Hongshi Tan , Yao Chen , Bingsheng He , WengFai Wong

Although High-Level Synthesis (HLS) has attracted considerable interest in hardware design, it has not yet become mainstream due to two primary challenges. First, current HLS hardware design benchmarks are outdated as they do not cover…

Hardware Architecture · Computer Science 2025-04-22 Andy Wanna , Hanqiu Chen , Cong Hao

Despite the great success of High-Level Synthesis (HLS) tools, we observe several unresolved challenges: 1) the high-level abstraction of programming styles in HLS sometimes conceals optimization opportunities; 2) existing HLS tools do not…

Hardware Architecture · Computer Science 2021-12-10 Nan Wu , Yuan Xie , Cong Hao

High-level synthesis (HLS) performs well for simple memory access patterns, such as for sequential accesses that can be turned into bursts, or for memory accesses into small datasets that can be stored in scratchpads. This limits HLS to…

Hardware Architecture · Computer Science 2026-05-25 David Metz , Magnus Själander

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

Design Space Exploration (DSE) is essential to modern CPU design, yet current frameworks struggle to scale and generalize in high-dimensional architectural spaces. As the dimensionality of design spaces continues to grow, existing DSE…

Machine Learning · Computer Science 2025-08-15 Runzhen Xue , Hao Wu , Mingyu Yan , Ziheng Xiao , Guangyu Sun , Xiaochun Ye , Dongrui Fan