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RevivePath:Resilient Network-on-Chip Design Through Data Path Salvaging of Router

Journal of computer Science & technology 2013年第6期28卷 1045-1053页

作者：韩银和刘成路航李文博张磊李晓维 CCF IEEE ACM State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences University of Chinese Academy of Sciences

Network-on-Chip （NoC） with excellent scalability and high bandwidth has been considered to be the most promising communication architecture for complex integration systems. However, NoC reliability is getting continuously challenging for the shrinking semiconductor feature size and increasing integration density. Moreover, a single node failure in NoC might destroy the network connectivity and corrupt the entire system. Introducing redundancies is an efficient method to construct a resilient communication path. However, prior work based on redundancies, either results in limited reliability with coarse grain protection or involves even larger hardware overhead with fine grain. In this paper, we notice that data path such as links, buffers and crossbars in NoC can be divided into multiple identical parallel slices, which can be utilized as inherent redundancy to enhance reliability. As long as there is one fault-free slice left available, the proposed salvaging scheme named as RevivePath, can be employed to make the overall data path still functional. Furthermore, RevivePath uses the direct redundancy to protect the control path such as switch arbiter, routing computation, to provide a full fault-tolerant scheme to the whole router. Experimental results show that it achieves quite high reliability with graceful performance degradation even under high fault rate.

关键词： Network-on-Chip fault-tolerant on-chip router

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An introduction to CPU and DSP design in China

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Science China(Information Sciences) 2016年第1期59卷 58-65页

作者： Weiwu HU Yifu ZHANG Jie FU State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Loongson Technology Corporation Limited School of Computer and Control Engineering University of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences

In recent years, China has witnessed considerable achievements in the production of domesticallydesigned CPUs and DSPs. Owing to fifteen years of hard work that began in 2001, significant progress has been made in Chinese domestic CPUs and DSPs, primarily represented by Loongson and Shen Wei *** parts of the CPU design techniques are comparable to the world’s most advanced designs. A special issue published in Scientia Sinica I nf ormationis in April 2015, is dedicated to exhibiting the technical advancements in Chinese domestically-designed CPUs and DSPs. The content in this issue describes the design and optimization of high performance processors and the key technologies in processor development; these include high-performance micro-architecture design, many-core and multi-core design, radiation hardening design, highperformance physical design, complex chip verification, and binary translation technology. We hope that the articles we collected will promote understanding of CPU/DSP progress in China. Moreover, we believe that the future of Chinese domestic CPU/DSP processors is quite promising.

关键词： Chinese domestic CPUs and DSPs Loongson CPU Shen Wei CPU YHFT DSP BWDSP

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Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models

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IEEE Transactions on Vehicular technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

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The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields

arXiv

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arXiv 2025年

作者： Luo, Ziyuan Rocha, Anderson Shi, Boxin Guo, Qing Li, Haoliang Wan, Renjie Department of Computer Science Hong Kong Baptist University Hong Kong Institute of Computing University of Campinas Brazil State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing100871 China A*STAR Singapore Department of Electrical Engineering City University of Hong Kong Hong Kong

Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content representation. With the proliferation of NeRF-based creations, the need for copyright protection has emerged as a critical issue. Although some approaches have been proposed to embed digital watermarks into NeRF, they often neglect essential model-level considerations and incur substantial time overheads, resulting in reduced imperceptibility and robustness, along with user inconvenience. In this paper, we extend the previous criteria for image watermarking to the model level and propose NeRF Signature, a novel watermarking method for NeRF. We employ a Codebook-aided Signature Embedding (CSE) that does not alter the model structure, thereby maintaining imperceptibility and enhancing robustness at the model level. Furthermore, after optimization, any desired signatures can be embedded through the CSE, and no fine-tuning is required when NeRF owners want to use new binary signatures. Then, we introduce a joint pose-patch encryption watermarking strategy to hide signatures into patches rendered from a specific viewpoint for higher robustness. In addition, we explore a Complexity-Aware key Selection (CAKS) scheme to embed signatures in high visual complexity patches to enhance imperceptibility. The experimental results demonstrate that our method outperforms other baseline methods in terms of imperceptibility and robustness. The source code is available at: https://***/luo-ziyuan/NeRF_Signature. Copyright © 2025, The Authors. All rights reserved.

关键词： Image watermarking

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New Methodologies for Parallel architecture

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Journal of computer Science & technology 2011年第4期26卷 578-587页

作者：范东睿李晓维李国杰 Key Laboratory of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Moore＇s law continues to grant computer architects ever more transistors in the foreseeable future, and parallelism is the key to continued performance scaling in modern microprocessors. In this paper, the achievements in our research project, which is supported by the National Basic Research 973 Program of China, on parallel architecture, are systematically presented. The innovative approaches and techniques to solve the significant problems in parallel architecture design are smnmarized, including architecture level optimization, compiler and language-supported technologies, reliability, power-performance efficient design, test and verification challenges, and platform building. Two prototype chips, a multi-heavy-core Godson-3 and a many-light-core Godson-T, are described to demonstrate the highly scalable and reconfigurable parallel architecture designs. We also present some of our achievements appearing in ISCA, MICRO, ISSCC, HPCA, PLDI, PACT, IJCAI, Hot Chips, DATE, IEEE Trans. VLSI, IEEE Micro, IEEE Trans. computers, etc.

关键词： architecture multi-core many-core parallelism

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Deterministic Circular Self Test Path

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Tsinghua Science and technology 2007年第S1期12卷 20-25页

作者：文科胡瑜李晓维 Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences

Circular self test path (CSTP) is an attractive technique for testing digital integrated circuits(IC) in the nanometer era, because it can easily provide at-speed test with small test data volume and short test application time. However, CSTP cannot reliably attain high fault coverage because of difficulty of testing random-pattern-resistant faults. This paper presents a deterministic CSTP (DCSTP) structure that consists of a DCSTP chain and jumping logic, to attain high fault coverage with low area overhead. Experimental re- sults on ISCAS’89 benchmarks show that 100% fault coverage can be obtained with low area overhead and CPU time, especially for large circuits.

关键词： very large scale integration (VLSI) test built-in-self-test (BIST) circular self test path deterministic

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UAV-Aided Covert Federated Learning Networks

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IEEE Network 2025年

作者： Wang, Chao Guo, Shaoyong Xiong, Zehui Xing, Chengwen Zhao, Nan Niyato, Dusit Karagiannidis, George Dalian University of Technology School of Information and Communication Engineering Dalian116024 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Singapore University of Technology and Design Information Systems Technology and Design Pillar 487372 Singapore Beijing Institute of Technology School of Information and Electronics Beijing100081 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Greece

With the increasing emphasis on data privacy, federated learning (FL) networks show great potential through distributed training without directly sharing the raw data. However, the coverage of FL terrestrial servers is usually limited. Therefore, we propose leveraging the unmanned aerial vehicle (UAV) as a mobile flying server to further improve the wireless coverage and training efficiency of FL. Nevertheless, frequent exchanges of model parameters in UAV-assisted FL can result in serious security risks. In order to achieve this, we propose a covert FL scheme assisted by the UAV, which can protect the transmission key features of local models from being detected by wardens. Furthermore, we discuss the FL network and covert communications, as well as the exceptional features of UAV-assisted covert FL. Finally, we present two case studies, one of which focuses on minimising the network latency, while the other concentrates on reducing the energy consumption of covert FL. The simulation results demonstrate the efficacy of the proposed schemes in addressing future challenges. © 1986-2012 IEEE.

关键词： Data privacy

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A dynamic platform for global pullorum disease and fowl typhoid

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Animal Diseases 2025年第1期5卷 113-123页

作者： Xiamei Kang Canghong Jin Pengkun Gu Song Wang Zhengjie Gao Chenyi Dai Xiao Zhou Abubakar Siddique Haiyang Zhou Linlin Huang Yan Li Min Yue Department of Veterinary Medicine Zhejiang University College of Animal SciencesHangzhou 310058China School of Computer and Computing Science Hangzhou City UniversityHangzhou 310015China Hainan Institute of Zhejiang University Sanya 572000China School of Life Science Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou 310003China Ningbo Academy of Agricultural Sciences Ningbo 315040China NewFit(Hangzhou)Information Technology Co. LtdHangzhou 310000China

Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gal-linarum,*** prevalence of these diseases varies across regions and is affected by different risk fac-tors that remain insufficiently *** fill this knowledge gap,we have compiled a global dataset for its prevalence,drawing upon a collection of literature from the last seven decades obtained from bilingual ***,a more interactive and dynamic platform is still needed for both academics and policymakers to improve biosecurity measures,limit disease transmission,and prevent future outbreaks at the global and local ***,we developed an advanced visualization platform to depict the prevalence of Salmonella Pullorum and Gallinarum,espe-cially in China,which is categorized by geographical region and temporal *** platform offers a user-friendly,efficient,and visually engaging tool to explore the prevalence of pullorum disease and fowl typhoid between 1945 and 2021 in different ***,this platform allows users to understand the influence of various fac-tors,such as breed,farm mode,economic usage and even the sex of the primary host,chickens,on the prevalence of this *** further provided a detailed overview of individual province within *** particular,by selecting two different provinces on the interface,users can quickly visualize and grasp the disparities in disease prevalence between the chosen *** interactive toolkit enables a dynamic exploration of the patterns and factors con-tributing to the prevalence of Salmonella Pullorum and *** interactive platform is freely available open source at http://139.9.85.208/.

关键词： Pullorum disease Fowl typhoid Interactive platform Prevalence prediction

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A survey of neural network accelerators

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Frontiers of computer Science 2017年第5期11卷 746-761页

作者： Zhen LI Yuqing WANG Tian ZHI Tianshi CHEN State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer Science and Technology University of Science and Technology of China Hefei 230026 China

Machine-learning techniques have recently been proved to be successful in various domains, especially in emerging commercial applications. As a set of machine- learning techniques, artificial neural networks （ANNs）, requiring considerable amount of computation and memory, are one of the most popular algorithms and have been applied in a broad range of applications such as speech recognition, face identification, natural language processing, ect. Conventionally, as a straightforward way, conventional CPUs and GPUs are energy-inefficient due to their excessive effort for flexibility. According to the aforementioned situation, in recent years, many researchers have proposed a number of neural network accelerators to achieve high performance and low power consumption. Thus, the main purpose of this literature is to briefly review recent related works, as well as the DianNao-family accelerators. In summary, this review can serve as a reference for hardware researchers in the area of neural networks.

关键词： neural networks accelerators FPGAs ASICs,DianNao series

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Green challenges to system software in data centers

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中国计算机科学前沿 2011年第3期5卷 353-368页

作者： Yuzhong SUN Yiqiang ZHAO Ying SONG Yajun YANG Haifeng FANG Hongyong ZANG Yaqiong LI Yunwei GAO Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China

With the increasing demand and the wide application of high performance commodity multi-core processors,both the quantity and scale of data centers grow dramatically and they bring heavy energy *** and engineers have applied much effort to reducing hardware energy consumption,but software is the true consumer of power and another key in making better use of *** software is critical to better energy utilization,because it is not only the manager of hardware but also the bridge and platform between applications and *** this paper,we summarize some trends that can affect the efficiency of data ***,we investigate the causes of software *** on these studies,major technical challenges and corresponding possible solutions to attain green system software in programmability,scalability,efficiency and software architecture are ***,some of our research progress on trusted energy efficient system software is briefly introduced.

关键词： green software multi-core data center power efficient system software

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