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检索条件"机构=Computational Engineering Applications Supercomputer Systems Department Science Systems Division"
37 条 记 录,以下是1-10 订阅
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Matrix Factorization for Inferring Associations and Missing Links
arXiv
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arXiv 2025年
作者: Barron, Ryan Eren, Maksim E. Truong, Duc P. Matuszek, Cynthia Wendelberger, James Dorn, Mary F. Alexandrov, Boian Theoretical Division Los Alamos National Laboratory United States Information Systems and Modeling Los Alamos National Laboratory United States Department of Computer Science and Electrical Engineering University of Maryland Baltimore County United States Computer Computational and Statistical Sciences Los Alamos National Laboratory United States
Missing link prediction is a method for network analysis, with applications in recommender systems, biology, social sciences, cybersecurity, information retrieval, and Artificial Intelligence (AI) reasoning in Knowled... 详细信息
来源: 评论
Implementing a 3D multigrid algorithm on Fujitsu's vector parallel supercomputer  1
Implementing a 3D multigrid algorithm on Fujitsu's vector pa...
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1st Aizu International Symposium on Parallel Algorithms/Architecture Synthesis, AISPAS 1995
作者: Wang, I. Lung, H. Katsumata, Y. Ishigai, T. Scientific and Engineering Applications Fujitsu Systenis Business of America Inc. Santa ClaraCA95054 United States Computational Engineering Applications Supercomputer Systems Department Science Systems Division Fujitsu Limited Chiba261 Japan
Multigrid algorithms are well adopted by many engineering applications programs on the traditional sequential computers due to their good convergence behavior. In order to convert those existing resources to the field... 详细信息
来源: 评论
Artificial intelligence for modelling infectious disease epidemics
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Nature 2025年 第8051期638卷 623-635页
作者: Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in e...
来源: 评论
Implementing a 3D multigrid algorithm on Fujitsu's vector parallel supercomputer
Implementing a 3D multigrid algorithm on Fujitsu's vector pa...
收藏 引用
Aizu International Symposium on Parallel Algorithms/Architecture Synthesis
作者: J. Wang H. Lung Y. Katsumata T. Ishigai Scientific and Engineering Applications Fujitsu Systenis Business of America Inc. Santa Clara CA USA Computational Engineering Applications Supercomputer Systems Department Science Systems Division Fujitsu Laboratories Limited Chiba Japan
Multigrid algorithms are well adopted by many engineering applications programs on the traditional sequential computers due to their good convergence behavior. In order to convert those existing resources to the field... 详细信息
来源: 评论
Modern deep learning in bioinformatics
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Journal of Molecular Cell Biology 2020年 第11期12卷 823-827页
作者: Haoyang Li Shuye Tian Yu Li Qiming Fang Renbo Tan Yijie Pan Chao Huang Ying Xu Xin Gao Cancer Systems Biology Center The China-Japan Union HospitalJilin UniversityChangchun 130033China MOE Key Laboratory of Symbolic Computation and Knowledge Engineering College of Computer Science and TechnologyJilin UniversityChangchun 130012China Department of Biology Southern University of Science and TechnologyShenzhen 518055China Computational Bioscience Research Center(CBRC) Computer Electrical and Mathematical Sciences and Engineering(CEMSE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou 310018China Ningbo Institute of Information Technology Application Chinese Academy of SciencesNingbo 315040China Computational Systems Biology Lab Department of Biochemistry and Molecular Biology and Institute of BioinformaticsUniversity of GeorgiaAthensGA 30602USA
Deep learning(DL)has shown explosive growth in its application to bioinformatics and has demonstrated thrillingly promising power to mine the complex relationship hidden in large-scale biological and biomedical data.A... 详细信息
来源: 评论
Weighted dynamic time warping for time series classification
Weighted dynamic time warping for time series classification
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作者: Jeong, Young-Seon Jeong, Myong K. Omitaomu, Olufemi A. Department of Industrial and Systems Engineering Rutgers University 640 Bartholomew Road Piscataway NJ 08854 United States Rutgers Center for Operations Research Rutgers University Piscataway NJ United States Department of Industrial and Systems Engineering KAIST Daejon Korea Republic of Geographic Information Science and Technology Group Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN United States
Dynamic time warping (DTW), which finds the minimum path by providing non-linear alignments between two time series, has been widely used as a distance measure for time series classification and clustering. However, D... 详细信息
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Generating the Local Oscillator “Locally” in Continuous-Variable Quantum Key Distribution Based on Coherent Detection
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Physical Review X 2015年 第4期5卷 041009-041009页
作者: Bing Qi Pavel Lougovski Raphael Pooser Warren Grice Miljko Bobrek Quantum Information Science Group Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831-6418 USA Department of Physics and Astronomy The University of Tennessee Knoxville Tennessee 37996-1200 USA RF Communications and Intelligent Systems Group Electrical and Electronics Systems Research Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831-6006 USA
Continuous-variable quantum key distribution (CV-QKD) protocols based on coherent detection have been studied extensively in both theory and experiment. In all the existing implementations of CV-QKD, both the quantum ... 详细信息
来源: 评论
Guest Editorial: Special issue on computational methods and artificial intelligence applications in low-carbon energy systems
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IET Renewable Power Generation 2024年 第3期18卷 303-305页
作者: Wang, Yishen Zhou, Fei Guerrero, Josep M. Baker, Kyri Chen, Yize Wang, Hao Xu, Bolun Xu, Qianwen Zhu, Hong Agwan, Utkarsha State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing China Department of Energy Technology Aalborg University Aalborg Denmark Department of Civil Environmental and Architectural Engineering University of Colorado-Boulder BoulderCO United States Guangzhou China Department of Data Science and AI Monash University ClaytonVIC Australia Department of Earth and Environmental Engineering Columbia University New YorkNY United States Electric Power and Energy Systems Division KTH Royal Institute of Technology Stockholm Sweden State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Department of Electrical Engineering and Computer Sciences University of California - Berkeley BerkeleyCA United States
来源: 评论
Graph Pyramid Autoformer for Long- Term Traffic Forecasting  22
Graph Pyramid Autoformer for Long- Term Traffic Forecasting
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22nd IEEE International Conference on Machine Learning and applications, ICMLA 2023
作者: Zhong, Weiheng Mallick, Tanwi MacFarlane, Jane Meidani, Hadi Balaprakash, Prasanna University of Illinois at Urbana-Champaign Department of Civil Environmental Engineering ChampaignIL United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL United States Sustainable Energy Systems Group Lawrence Berkeley National Laboratory BerkeleyCA United States Computing and Computational Sciences Directorate Oak Ridge National Laboratory Oak RidgeTN United States
Accurate traffic forecasting is vital to an intelligent transportation system. Although many deep learning models have achieved state-of-art performance for short-term traffic forecasting of up to 1 hour, long-term tr... 详细信息
来源: 评论
A Communication-Efficient Decentralized Newton's Method with Provably Faster Convergence
arXiv
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arXiv 2022年
作者: Liu, Huikang Zhang, Jiaojiao So, Anthony Man-Cho Ling, Qing The Research Institute for Interdisciplinary Sciences School of Information Management and Engineering Shanghai University of Finance and Economics China The Division of Decision and Control Systems School of Electrical Engineering and Computer Science Kth Royal Institute of Technology Sweden The Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong The School of Computer Science and Engineering Guangdong Province Key Laboratory of Computational Science Sun Yat-Sen University China The Pazhou Lab China
In this paper, we consider a strongly convex finite-sum minimization problem over a decentralized network and propose a communication-efficient decentralized Newton's method for solving it. The main challenges in ... 详细信息
来源: 评论