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Large language models (LLMs) have shown promise in register-transfer level (RTL) design automation, but direct RTL generation remains difficult to validate, optimize, and integrate with compiler-based hardware design flows. Hardware…

Hardware Architecture · Computer Science 2026-05-19 Shuo Yin , Yihe Wang , Lancheng Zou , Xufeng Yao , Tinghuan Chen , Chen Bai , Zhengrong Wang , Tsung-Yi Ho , Bei Yu

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

Register Transfer Level (RTL) design validation is a crucial stage in the hardware design process. We present a new approach to enhancing RTL design validation using available software techniques and tools. Our approach converts the source…

Software Engineering · Computer Science 2016-02-22 Yu Zhang , Wenlong Feng , Mengxing Huang

The modern trend in High-Performance Computing (HPC) involves the use of accelerators such as Graphics Processing Units (GPUs) alongside Central Processing Units (CPUs) to speed up numerical operations in various applications. Leading…

Mathematical Software · Computer Science 2025-07-25 Giulio Malenza , Giovanni Stabile , Filippo Spiga , Robert Birke , Marco Aldinucci

CMS has developed a fast detector simulation package, which serves as a fast and reliable alternative to the detailed GEANT4-based (full) simulation, and enables efficient simulation of large numbers of standard model and new physics…

Instrumentation and Detectors · Physics 2019-08-13 Sezen Sekmen

Recently the hardware emulation technique has emerged as a promising approach to accelerating hardware verification/debugging process. To fully evaluate the powerfulness of the emulation approach and demonstrate its potential impact, we…

Hardware Architecture · Computer Science 2016-02-10 Kai Cong , Li Lei , Zhenkun Yang , Fei Xie

Training of convolutional neural networks (CNNs)on embedded platforms to support on-device learning is earning vital importance in recent days. Designing flexible training hard-ware is much more challenging than inference hardware, due to…

Machine Learning · Computer Science 2019-08-20 Shreyas Kolala Venkataramanaiah , Yufei Ma , Shihui Yin , Eriko Nurvithadhi , Aravind Dasu , Yu Cao , Jae-sun Seo

The rapid growth of deep learning has driven exponential increases in model parameters and computational demands. NVIDIA GPUs and their CUDA-based software ecosystem provide robust support for parallel computing, significantly alleviating…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-08 Jiaqi Lv , Xufeng He , Yanchen Liu , Xu Dai , Aocheng Shen , Yinghao Li , Jiachen Hao , Jianrong Ding , Yang Hu , Shouyi Yin

High-level hardware generators have significantly increased the productivity of design engineers. They use software engineering constructs to reduce the repetition required to express complex designs and enable more composability. However,…

Hardware Architecture · Computer Science 2022-03-14 Keyi Zhang , Zain Asgar , Mark Horowitz

As intelligent computing devices increasingly integrate into human life, ensuring the functional safety of the corresponding electronic chips becomes more critical. A key metric for functional safety is achieving a sufficient fault…

Hardware Architecture · Computer Science 2025-04-24 Jiaping Tang , Jianan Mu , Silin Liu , Zizhen Liu , Feng Gu , Xinyu Zhang , Leyan Wang , Shenwen Liang , Jing Ye , Huawei Li , Xiaowei Li

The rapid advancement of AI workloads and domain-specific architectures has led to increasingly diverse processor microarchitectures, whose design exploration requires fast and accurate performance validation. However, traditional workflows…

Hardware Architecture · Computer Science 2026-05-22 Chengzhen Meng , Xiuzhuang Chen , Bingcai Sui , Zhenyu Zhao , Tun Li , Hongjun Dai

Large language models (LLMs) exhibit memory-intensive behavior during decoding, making it a key bottleneck in LLM inference. To accelerate decoding execution, hybrid-bonding-based 3D-DRAM has been adopted in LLM accelerators. While this…

Hardware Architecture · Computer Science 2026-04-10 Cong Li , Chenhao Xue , Yi Ren , Xiping Dong , Yu Cheng , Yinbo Hu , Fujun Bai , Yixin Guo , Xiping Jiang , Qiang Wu , Zhi Yang , Zhe Cheng , Yuan Xie , Guangyu Sun

The current manufacturing technology allows the integration of a complex multiprocessor system on one piece of silicon (MPSoC for Multiprocessor System-on- Chip). One way to manage the growing complexity of these systems is to increase the…

Hardware Architecture · Computer Science 2014-08-06 Abdelhakim Alali , Ismail Assayad , Mohamed Sadik

Parallel programming is emerging fast and intensive applications need more resources, so there is a huge demand for on-chip multiprocessors. Accessing L1 caches beside the cores are the fastest after registers but the size of private caches…

Performance · Computer Science 2016-09-27 Diman Zad Tootaghaj , Farshid Farhat

As DNNs are widely adopted in various application domains while demanding increasingly higher compute and memory requirements, designing efficient and performant NPUs (Neural Processing Units) is becoming more important. However, existing…

Hardware Architecture · Computer Science 2024-06-13 Hyungkyu Ham , Wonhyuk Yang , Yunseon Shin , Okkyun Woo , Guseul Heo , Sangyeop Lee , Jongse Park , Gwangsun Kim

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

Mastering computational architectures is essential for developing fast and power-efficient programs. Our advanced simulator empowers both IT students and professionals to grasp the fundamentals of superscalar RISC-V processors, HW/SW…

Hardware Architecture · Computer Science 2024-11-13 Jiri Jaros , Michal Majer , Jakub Horky , Jan Vavra

This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and corresponding singular vectors. We have re-implemented the…

Mathematical Software · Computer Science 2024-05-30 Xu Feng , Wenjian Yu , Yuyang Xie

Modern System-on-Chip (SoC) designs are becoming more and more complex due to the technology upscaling. SoC designs often operate on multiple asynchronous clock domains, further adding to the complexity of the overall design. To make the…

Hardware Architecture · Computer Science 2024-06-12 Aman Kumar , Muhammad Ul Haque Khan , Bijitendra Mittra

The DC-coupled Resistive Silicon Detectors (DCRSD) are the evolution of the AC-coupled RSD (RSD) design, both based on the Low-Gain Avalanche Diode (LGAD) technology. The DC-RSD design concept intends to address a few known issues present…