ACCELERATORS

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A comprehensive survey on graph neural network accelerators
《Frontiers of Computer Science》2025年第2期11-29,共19页Jingyu LIU Shi CHEN Li SHEN 
supported by the National Natural Science Foundation of China(Grant Nos.62032001 and 61972407).
Deep learning has gained superior accuracy on Euclidean structure data in neural networks.As a result,nonEuclidean structure data,such as graph data,has more sophisticated structural information,which can be applied i...
关键词：graph neural network ACCELERATORS graph convolutional networks design space exploration deep learning domain-specific architecture 
Mitigating methodology of hardware non-ideal characteristics for non-volatile memory based neural networks
《Science China(Information Sciences)》2025年第2期303-317,共15页Lixia HAN Peng HUANG Yijiao WANG Zheng ZHOU Haozhang YANG Yiyang CHEN Xiaoyan LIU Jinfeng KANG 
supported in part by National Key R&D Program of China(Grant No.2023YFB4402405);National Natural Science Foundation of China(Grant Nos.92064001,62101018);Joint Funds of the National Natural Science Foundation of China(Grant No.U20A20204);111 Project(Grant No.B18001)。
Non-volatile memory-based computing-in-memory(nvCIM)paradigm has been extensively studied to boost the energy efficiency of neural network accelerators in edge applications.However,the degradation of inference accurac...
关键词：computing in memory neural network accelerators non-volatile memory hardware non-ideal characteristics software-hardware co-design 
Research on High-Precision Stochastic Computing VLSI Structures for Deep Neural Network Accelerators
《ZTE Communications》2024年第4期9-17,共9页WU Jingguo ZHU Jingwei XIONG Xiankui YAO Haidong WANG Chengchen CHEN Yun 
Deep neural networks(DNN)are widely used in image recognition,image classification,and other fields.However,as the model size increases,the DNN hardware accelerators face the challenge of higher area overhead and ener...
关键词：stochastic computing hardware accelerator deep neural network 
Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators
《Big Data Mining and Analytics》2024年第4期1301-1320,共20页Xuelei Li Zhichao Wang Yi Pan Jintao Meng Shengzhong Feng Yanjie Wei 
supported by the Key Research and Development Project of Guangdong Province(No.2021B0101310002);the National Key Research and Development Program of China(No.2021YFF1200104);the Strategic Priority CAS Project(No.XDB38050100);the National Natural Science Foundation of China(No.62272449);the Shenzhen Basic Research Fund(Nos.RCYX20200714114734194,JCYJ20210324102007021,and KQTD20200820113106007);the Open Fund of Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)(No.GML-KF-22-13);the Shenzhen Key Laboratory of Intelligent Bioinformatics(No.ZDSYS20220422103800001).
Spiking Neural Network(SNN)simulation is very important for studying brain function and validating the hypotheses for neuroscience,and it can also be used in artificial intelligence.Recently,GPU-based simulators have ...
关键词：Spiking Neural Network(SNN)simulation Sunway accelerator random access Message Passing Interface(MPI)communication real-time simulation 
FPGA Accelerators for Computing Interatomic Potential-Based Molecular Dynamics Simulation for Gold Nanoparticles:Exploring Different Communication Protocols
《Computers, Materials & Continua》2024年第9期3803-3818,共16页Ankitkumar Patel Srivathsan Vasudevan Satya Bulusu 
Molecular Dynamics(MD)simulation for computing Interatomic Potential(IAP)is a very important High-Performance Computing(HPC)application.MD simulation on particles of experimental relevance takes huge computation time,...
关键词：Ethernet hardware accelerator heterogeneous computing interatomic potential(IAP) MDsimulation peripheral component interconnect express(PCIe) UART 
Graph Accelerators—A Case for Sparse Data Processing
《Journal of Computer Science & Technology》2024年第2期243-244,共2页陈文光 
Graph is a powerful sparse data structure that intuitively represents entities and their relationships.Classic graph traversal algorithms such as Breadth-First Search(BFS),Single-Source Shortest Path(SSSP),PageRank,an...
关键词：intuitive DESIRED LIMITATIONS 
Towards efficient generative AI and beyond-AI computing:New trends on ISSCC 2024 machine learning accelerators
《Journal of Semiconductors》2024年第4期12-15,共4页Bohan Yang Jia Chen Fengbin Tu 
This research was supported in part by ACCESS-AI Chip Center for Emerging Smart Systems,sponsored by InnoHK funding,Hong Kong SAR,and HKUST-HKUST(GZ)20 for 20 Cross-campus Collaborative Research Scheme C031.
Compared to the last decade when the convolution neu-ral network(CNN)dominated the research field,machine learn-ing(ML)algorithms have reached a pivotal moment called the generative artificial intelligence(AI)era.With...
关键词：ISSCC BEYOND AI 
Dielectric Laser Accelerators Driven by Ultrashort, Ultraintense Long-Wave Infrared Lasers
《Ultrafast Science》2024年第1期17-34,共18页Xuehan Mei Rongwei Zha Yiming Pan Shaoyi Wang Bin Sun Cheng Lei Changjun Ke Zongqing Zhao Du Wang 
supported by the National Key R&D Program(2020YFF0400700);the National Natural Science Foundation of China(12374295,and 62075200,and61975205);the Fundamental Research Funds for the Central Universities(2042023kf0113 and 2042022gf0004);the Hubei Provincial Technical Innovation Project(2021BEC011);Independent Scientific Research(JCKYS2021212011).
Particle acceleration driven by intense lasers has long been a frontier of research in the field of laser engineering physics due to its extremely high acceleration gradient.Recently,dielectric laser accelerators(DLAs...
关键词：INTENSE ACCELERATION ULTRASHORT 
Fault locating for traveling-wave accelerators based on transmission line theory
《Nuclear Science and Techniques》2023年第8期24-34,共11页Tong-Ning Hu Hai-Meng Wang Yi-Feng Zeng Hong-Jie Xu Li Chen Guang-Yao Feng Yuan-Ji Pei 
supported by the National Natural Science Foundation of China(No.11905074).
Radio-frequency(RF)breakdown analysis and location are critical for successful development of high-gradient traveling-wave(TW)accelerators,especially those expected to generate high-intensity,high-power beams.Compared...
关键词：Traveling-wave structure RF breakdown Fault locating Transmission line 
PRAP-PIM:A weight pattern reusing aware pruning method for ReRAM-based PIM DNN accelerators
《High-Confidence Computing》2023年第2期50-59,共10页Zhaoyan Shen Jinhao Wu Xikun Jiang Yuhao Zhang Lei Ju Zhiping Jia 
partially supported by the National Natural Science Foundation of China(92064008);the CCF-Huawei Huyanglin Project CCF-HuaweiST2021002;the Open Project Program of Wuhan National Laboratory for Optoelectronics(2022WNLOKF018);the Shandong Provincial Natural Science Foundation(ZR2022LZH010).
Resistive Random-Access Memory(ReRAM)based Processing-in-Memory(PIM)frameworks are proposed to accelerate the working process of DNN models by eliminating the data movement between the computing and memory units.To fu...
关键词：Resistive Random-Access Memory Processing-in-Memory Deep neural network Model compression 
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