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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

Achieving timing closure and design-specific optimizations in FPGA-targeted High-Level Synthesis (HLS) remains a significant challenge due to the complex interaction between architectural constraints, resource utilization, and the absence…

Cryptography and Security · Computer Science 2025-07-25 Nowfel Mashnoor , Mohammad Akyash , Hadi Kamali , Kimia Azar

A critical stage in the evolving landscape of VLSI design is the design phase that is transformed into register-transfer level (RTL), which specifies system functionality through hardware description languages like Verilog. Generally,…

Artificial Intelligence · Computer Science 2025-02-25 Anindita Chattopadhyay , Vijay Kumar Sutrakar

There have been several recent works proposed to utilize model-based optimization methods to improve the productivity of using high-level synthesis (HLS) to design domain-specific architectures. They would replace the time-consuming…

Hardware Architecture · Computer Science 2024-08-27 Zijian Ding , Atefeh Sohrabizadeh , Weikai Li , Zongyue Qin , Yizhou Sun , Jason Cong

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

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

Recent advances in code generation have illuminated the potential of employing large language models (LLMs) for general-purpose programming languages such as Python and C++, opening new opportunities for automating software development and…

Machine Learning · Computer Science 2025-03-06 Jiahao Gai , Hao Mark Chen , Zhican Wang , Hongyu Zhou , Wanru Zhao , Nicholas Lane , Hongxiang Fan

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

High Level Synthesis (HLS) tools, like the Intel FPGA SDK for OpenCL, improve design productivity and enable efficient design space exploration guided by simple program directives (pragmas), but may sometimes miss important optimizations…

Hardware Architecture · Computer Science 2022-01-12 Adel Ejjeh , Vikram Adve , Rob Rutenbar

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

High-level synthesis (HLS) enhances digital hardware design productivity through a high abstraction level. Even if the HLS abstraction prevents fine-grained manual register-transfer level (RTL) optimizations, it also enables automatable…

Hardware Architecture · Computer Science 2024-01-01 Giovanni Brignone , Mihai T. Lazarescu , Luciano Lavagno

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

Electronic Design Automation (EDA) is essential for IC design and has recently benefited from AI-based techniques to improve efficiency. Logic synthesis, a key EDA stage, transforms high-level hardware descriptions into optimized netlists.…

Machine Learning · Computer Science 2024-11-04 Faezeh Faez , Raika Karimi , Yingxue Zhang , Xing Li , Lei Chen , Mingxuan Yuan , Mahdi Biparva

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

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

During early optimization passes, compilers must make predictions for machine-dependent characteristics such as execution unit utilization, number of register spills, latency, throughput etc. to generate better code. Often a hand-written…

Machine Learning · Computer Science 2023-02-23 Dibyendu Das , Sandya Mannarswamy

Is there a way for a designer to evaluate the performance of a given hood frame geometry without spending significant time on simulation setup? This paper seeks to address this challenge by developing a multimodal machine-learning (MMML)…

Machine Learning · Computer Science 2025-09-16 Abhishek Indupally , Satchit Ramnath

As circuit designs become more intricate, obtaining accurate performance estimation in early stages, for effective design space exploration, becomes more time-consuming. Traditional logic optimization approaches often rely on proxy metrics…

Hardware Architecture · Computer Science 2024-12-04 Wenjing Jiang , Jin Yan , Sachin S. Sapatnekar

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

The stagnation of EDA technologies roots from insufficient knowledge reuse. In practice, very similar simulation or optimization results may need to be repeatedly constructed from scratch. This motivates my research on introducing more…

Machine Learning · Computer Science 2022-06-08 Zhiyao Xie