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With the ever-growing popularity of Graph Neural Networks (GNNs), efficient GNN inference is gaining tremendous attention. Field-Programming Gate Arrays (FPGAs) are a promising execution platform due to their fine-grained parallelism,…

Machine Learning · Computer Science 2023-09-29 Chenfeng Zhao , Zehao Dong , Yixin Chen , Xuan Zhang , Roger D. Chamberlain

High-level synthesis (HLS) has freed the computer architects from developing their designs in a very low-level language and needing to exactly specify how the data should be transferred in register-level. With the help of HLS, the hardware…

Hardware Architecture · Computer Science 2021-11-23 Atefeh Sohrabizadeh , Yunsheng Bai , Yizhou Sun , Jason Cong

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

High-level synthesis (HLS) tools have provided significant productivity enhancements to the design flow of digital systems in recent years, resulting in highly-optimized circuits, in terms of area and latency. Given the evolution of…

Cryptography and Security · Computer Science 2023-12-14 Amalia Artemis Koufopoulou , Athanasios Papadimitriou , Aggelos Pikrakis , Mihalis Psarakis , David Hely

Logic synthesis is a crucial phase in the circuit design process, responsible for transforming hardware description language (HDL) designs into optimized netlists. However, traditional logic synthesis methods are computationally intensive,…

In this work, we present a new approach to high level synthesis (HLS), where high level functions are first mapped to an architectural template, before hardware synthesis is performed. As FPGA platforms are especially suitable for…

Hardware Architecture · Computer Science 2016-06-22 Shaoyi Cheng , John Wawrzynek

The increasing demand of dedicated accelerators to improve energy efficiency and performance has highlighted FPGAs as a promising option to deliver both. However, programming FPGAs in hardware description languages requires long time and…

Hardware Architecture · Computer Science 2020-03-31 Maria A. Dávila-Guzmán , Rubén Gran Tejero , María Villarroya-Gaudó , Darío Suárez Gracia

Graph neural networks (GNNs) have recently exploded in popularity thanks to their broad applicability to ubiquitous graph-related problems such as quantum chemistry, drug discovery, and high energy physics. However, meeting demand for novel…

Machine Learning · Computer Science 2022-01-24 Stefan Abi-Karam , Yuqi He , Rishov Sarkar , Lakshmi Sathidevi , Zihang Qiao , Cong Hao

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

FPGAs are increasingly adopted in datacenter environments for their reconfigurability and energy efficiency. High-Level Synthesis (HLS) tools have eased FPGA programming by raising the abstraction level from RTL to untimed C/C++, yet…

Machine Learning · Computer Science 2025-05-01 Neha Prakriya , Zijian Ding , Yizhou Sun , Jason Cong

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

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

High-level synthesis (HLS) transforms an algorithmic description of hardware from a higher abstraction (e.g., C/C++) into a register-transfer level (RTL) design, offering reduced development time and greater flexibility in design space…

Hardware Architecture · Computer Science 2026-04-27 Xiaofeng Zhou , Linfeng Du , Guangyu Hu , Sharad Sinha , Hongce Zhang , Wei Zhang

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

The design of efficient hardware accelerators for high-throughput data-processing applications, e.g., deep neural networks, is a challenging task in computer architecture design. In this regard, High-Level Synthesis (HLS) emerges as a…

Hardware Architecture · Computer Science 2021-11-30 Lorenzo Ferretti , Andrea Cini , Georgios Zacharopoulos , Cesare Alippi , Laura Pozzi

High-level synthesis (HLS) is a design flow that leverages modern language features and flexibility, such as complex data structures, inheritance, templates, etc., to prototype hardware designs rapidly. However, exploring various design…

Hardware Architecture · Computer Science 2024-03-19 Md Rubel Ahmed , Toshiaki Koike-Akino , Kieran Parsons , Ye Wang

In recent years, domain-specific accelerators (DSAs) have gained popularity for applications such as deep learning and autonomous driving. To facilitate DSA designs, programmers use high-level synthesis (HLS) to compile a high-level…

Machine Learning · Computer Science 2024-07-19 Zongyue Qin , Yunsheng Bai , Atefeh Sohrabizadeh , Zijian Ding , Ziniu Hu , Yizhou Sun , Jason Cong

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

High-Level Synthesis (HLS) Design Space Exploration (DSE) is essential for generating hardware designs that balance performance, power, and area (PPA). To optimize this process, existing works often employs message-passing neural networks…

Machine Learning · Computer Science 2025-10-16 Lei Xu , Shanshan Wang , Emmanuel Casseau , Chenglong Xiao

High-Level Synthesis (HLS) is emerging as a mainstream design methodology, allowing software designers to enjoy the benefits of a hardware implementation. Significant work has led to effective compilers that produce high-quality hardware…

Software Engineering · Computer Science 2015-08-28 Jeffrey Goeders , Steven J. E. Wilton
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