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Network coding (NC) is a novel coding technology that can be seen as a generalization of classic point-to-point coding. As with classic coding, both information theoretical and algebraic views bring different and complementary insights of…

Networking and Internet Architecture · Computer Science 2018-03-13 Tan Do-Duy , M. A. Vazquez-Castro

Custom hardware accelerators for Deep Neural Networks are increasingly popular: in fact, the flexibility and performance offered by FPGAs are well-suited to the computational effort and low latency constraints required by many image…

Hardware Architecture · Computer Science 2021-03-25 Serena Curzel , Nicolò Ghielmetti , Michele Fiorito , Fabrizio Ferrandi

Agile hardware development requires fast and accurate circuit quality evaluation from early design stages. Existing work of high-level synthesis (HLS) performance prediction usually needs extensive feature engineering after the synthesis…

Machine Learning · Computer Science 2022-09-16 Nan Wu , Hang Yang , Yuan Xie , Pan Li , Cong Hao

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

High-Level Synthesis (HLS) enables rapid prototyping of complex hardware designs by translating C or C++ code to low-level RTL code. However, the testing and evaluation of HLS designs still typically rely on slow RTL-level simulators that…

Performance · Computer Science 2024-04-18 Rishov Sarkar , Rachel Paul , Cong Hao

High-Level Synthesis (HLS) frameworks allow to easily specify a large number of variants of the same hardware design by only acting on optimization directives. Nonetheless, the hardware synthesis of implementations for all possible…

Hardware Architecture · Computer Science 2021-01-05 Lorenzo Ferretti , Jihye Kwon , Giovanni Ansaloni , Giuseppe Di Guglielmo , Luca Carloni , Laura Pozzi

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

Special-purpose hardware accelerators are increasingly pivotal for sustaining performance improvements in emerging applications, especially as the benefits of technology scaling continue to diminish. However, designers currently lack…

Programming Languages · Computer Science 2024-04-09 Hongzheng Chen , Niansong Zhang , Shaojie Xiang , Zhichen Zeng , Mengjia Dai , Zhiru Zhang

Hardware design faces a fundamental challenge: raising abstraction to improve productivity while maintaining control over low-level details like cycle accuracy. Traditional RTL design in languages like SystemVerilog composes modules through…

Programming Languages · Computer Science 2025-11-20 Youwei Xiao , Zizhang Luo , Weijie Peng , Yuyang Zou , Yun Liang

The emergence of High-Level Synthesis (HLS) tools shifted the paradigm of hardware design by making the process of mapping high-level programming languages to hardware design such as C to VHDL/Verilog feasible. HLS tools offer a plethora of…

There are a plethora of applications that demand high throughput and low latency algorithms leveraging machine learning methods. This need for real time processing can be seen in industries ranging from developing neural network based…

Machine Learning · Computer Science 2020-04-14 Yash Akhauri

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

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

Compiling high-level programs to target high-speed packet-processing pipelines is a challenging combinatorial optimization problem. The compiler must configure the pipeline's resources to match the high-level semantics of the program, while…

Networking and Internet Architecture · Computer Science 2022-11-22 Xiangyu Gao , Divya Raghunathan , Ruijie Fang , Tao Wang , Xiaotong Zhu , Anirudh Sivaraman , Srinivas Narayana , Aarti Gupta

With the advent of modern multi-chiplet FPGA architectures, vendors have begun integrating hardened NoC to address the scalability, resource usage, and frequency disadvantages of soft NoCs. However, as this work shows, effectively…

Hardware Architecture · Computer Science 2025-03-17 Sihao Liu , Jake Ke , Tony Nowatzki , Jason Cong

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) 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

It is well known that many complex systems, both in technology and nature, exhibit hierarchical modularity: smaller modules, each of them providing a certain function, are used within larger modules that perform more complex functions. What…

Neural and Evolutionary Computing · Computer Science 2018-08-07 Payam Siyari , Bistra Dilkina , Constantine Dovrolis

Hardware accelerators are key to the efficiency and performance of system-on-chip (SoC) architectures. With high-level synthesis (HLS), designers can easily obtain several performance-cost trade-off implementations for each component of a…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-24 Luca Piccolboni , Paolo Mantovani , Giuseppe Di Guglielmo , Luca P. Carloni

The design of Microprocessors Computer Architectures remains as a fundamental course in Computer Science and Computer Engineering. The technology and organization inside microprocessors have changed quite fast in the last twenty years. That…