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检索条件"机构=High Performance Computing and Big Data Laboratory"
267 条 记 录,以下是1-10 订阅
排序:
A high ORDER SCHEME FOR FRACTIONAL DIFFERENTIAL EQUATIONS WITH THE CAPUTO-HADAMARD DERIVATIVE
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Journal of Computational Mathematics 2025年 第3期43卷 615-640页
作者: Xingyang Ye Junying Cao Chuanju Xu School of Science Jimei UniversityXiamen 361021China School of Data Science and Information Engineering Guizhou Minzu UniversityGuiyang 550025China School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High Performance Scientific Computing Xiamen UniversityXiamen 361005China
In this paper,we consider numerical solutions of the fractional diffusion equation with theαorder time fractional derivative defined in the Caputo-Hadamard sense.A high order time-stepping scheme is constructed,analy... 详细信息
来源: 评论
Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads
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Energy and AI 2025年 20卷
作者: Massidda, Luca Marrocu, Marino CRS4 Center for Advanced Studies Research and Development in Sardinia Italy National Research Center in High Performance Computing Big Data and Quantum Computing Italy
Demand-side flexibility is crucial to balancing supply and demand, as renewable energy sources are increasingly integrated into the energy mix, and heating and transport systems are becoming more and more electrified.... 详细信息
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Efficient simulation of discrete galaxy populations and associated radiation fields during the first billion years
arXiv
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arXiv 2025年
作者: Davies, James E. Mesinger, Andrei Murray, Steven Scuola Normale Superiore di Pisa Piazza dei Cavallieri 7 Pisa56126 Italy Centro Nazionale"High Performance Computing Big Data and Quantum Computing" Italy
Understanding the epochs of cosmic dawn and reionisation requires us to leverage multi-wavelength and multi-tracer observations, with each dataset providing a complimentary piece of the puzzle. To interpret such data,... 详细信息
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Detecting galaxy – 21-cm cross-correlation during reionization
arXiv
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arXiv 2025年
作者: Gagnon-Hartman, Samuel Davies, James Mesinger, Andrei Scuola Normale Superiore di Pisa Piazza dei Cavallieri 7 Pisa56126 Italy Centro Nazionale "High Performance Computing Big Data and Quantum Computing" Italy
The cosmic 21-cm signal promises to revolutionize studies of the Epoch of Reionization (EoR). Radio interferometers are aiming for a preliminary, low signal-to-noise (S/N) detection of the 21-cm power spectrum. Cross-... 详细信息
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IMPRESS: an importance-informed multi-tier prefix KV storage system for large language model inference  25
IMPRESS: an importance-informed multi-tier prefix KV storage...
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Proceedings of the 23rd USENIX Conference on File and Storage Technologies
作者: Weijian Chen Shuibing He Haoyang Qu Ruidong Zhang Siling Yang Ping Chen Yi Zheng Baoxing Huai Gang Chen The State Key Laboratory of Blockchain and Data Security Zhejiang University and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security and Zhejiang Key Laboratory of Big Data Intelligent Computing The State Key Laboratory of Blockchain and Data Security Zhejiang University Huawei Cloud
Modern advanced large language model (LLM) applications often prepend long contexts before user queries to improve model output quality. These contexts frequently repeat, either partially or fully, across multiple que...
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Robust and digital hyper-polarization protocol of nuclear spins via magic sequential sequence
arXiv
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arXiv 2025年
作者: Li, Haiyang Liao, Hao Wang, Ping Faculty of Arts and Sciences Beijing Normal University Zhuhai519087 China National Engineering Laboratory on Big Data System Computing Technology Guangdong Province Engineering Center of China-made High Performance Data Computing System College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China
Hyper-polarization of nuclear spins is crucial for advancing nuclear magnetic resonance (NMR) and quantum information technologies, as nuclear spins typically exhibit extremely low polarization at room temperature due... 详细信息
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LeapGNN: accelerating distributed GNN training leveraging feature-centric model migration  25
LeapGNN: accelerating distributed GNN training leveraging fe...
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Proceedings of the 23rd USENIX Conference on File and Storage Technologies
作者: Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang The State Key Laboratory of Blockchain and Data Security Zhejiang University and Zhejiang Lab and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security and Zhejiang Key Laboratory of Big Data Intelligent Computing Washington State University Vancouver
Distributed training of graph neural networks (GNNs) has become a crucial technique for processing large graphs. Prevalent GNN frameworks are model-centric, necessitating the transfer of massive graph vertex features ...
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Federated Domain Generalization for Fault Diagnosis: Cross-Client Style Integration and Dual Alignment Representation
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IEEE Internet of Things Journal 2025年
作者: Wang, Yu Zhang, Guowei Kong, Xianguang Du, Jingli Ma, Hongbo Yunnan Agricultural University College of Big Data Kunming650500 China Xidian University College of Mechanical and Electrical Engineering Xian710071 China State Key Laboratory of Electromechanical Integrated Manufacturing of High-performance Electronic Equipments China
Federated learning (FL) enables the collaborative training of intelligent diagnostic models across multiple clients while preserving data privacy. However, the complex and dynamic working conditions often cause federa... 详细信息
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GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators
GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerato...
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IEEE Symposium on high-performance Computer Architecture
作者: Siling Yang Shuibing He Wenjiong Wang Yanlong Yin Tong Wu Weijian Chen Xuechen Zhang Xian-He Sun Dan Feng The State Key Laboratory of Blockchain and Data Security Zhejiang University Zhejiang Lab Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security Zhejiang Key Laboratory of Big Data Intelligent Computing Washington State University Vancouver Illinois Institute of Technology Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics
Graph convolutional networks (GCNs) are popular for a variety of graph learning tasks. ReRAM-based processing-in-memory (PIM) accelerators are promising to expedite GCN training owing to their in-situ computing capabi... 详细信息
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A Method for Constructing Research data Provenance in high-performance computing Systems  19
A Method for Constructing Research Data Provenance in High-P...
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19th IEEE International Conference on e-Science, e-Science 2023
作者: Namiki, Yuta Hosomi, Takeo Tanushi, Hideyuki Yamashita, Akihiro Date, Susumu Osaka University Jt. Res. Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis Cybermedia Center Osaka Japan Nec Corporation Tokyo Japan
Research must be reproducible to be verifiable. Provenance, which describes how data was produced, is one of the metadata that can improve reproducibility. In this paper, we propose a method to construct the provenanc...
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