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检索条件"任意字段=International Symposium on Parallel and Distributed Computing"
11234 条 记 录,以下是521-530 订阅
排序:
Real-Time Routing in Traffic Simulations: A distributed Event Processing Approach
Real-Time Routing in Traffic Simulations: A Distributed Even...
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international symposium on parallel and distributed computing
作者: Paul Heinrich Janek Laudan Kai Nagel Transport Systems Planning and Transport Telematics Technical University of Berlin Germany
This paper explores the integration of distributed event processing in the context of real-time routing within a parallel transportation simulation framework for the Multi-Agent Transport Simulation (MATSim). A novel ... 详细信息
来源: 评论
distributed-Memory Sparse Kernels for Machine Learning  36
Distributed-Memory Sparse Kernels for Machine Learning
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Bharadwaj, Vivek Buluc, Aydin Demmel, James Univ Calif Berkeley EECS Dept Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Computat Res Div Berkeley CA USA
Sampled Dense Times Dense Matrix Multiplication (SDDMM) and Sparse Times Dense Matrix Multiplication (SpMM) appear in diverse settings, such as collaborative filtering, document clustering, and graph embedding. Freque... 详细信息
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Lifting and Dropping VMs to Dynamically Transition Between Time- and Space-sharing for Large-Scale HPC Systems  22
Lifting and Dropping VMs to Dynamically Transition Between T...
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31st international symposium on High-Performance parallel and distributed computing (HPDC)
作者: Gordon, Nicholas Lange, John R. Univ Pittsburgh Pittsburgh PA 15260 USA Oak Ridge Natl Lab Oak Ridge TN USA
As HPC environments increasingly integrate with edge based systems, system architectures will need to handle a broader class of workloads and scheduling requirements. One result of this shift will be the need to simul... 详细信息
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Efficient Real-time Earliest Deadline First based scheduling for Apache Spark  20
Efficient Real-time Earliest Deadline First based scheduling...
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20th international symposium on parallel and distributed computing (ISPDC)
作者: Neciu, Laurentiu-Florin Pop, Florin Apostol, Elena-Simona Truica, Ciprian-Octavian Univ Politehn Bucuresti Bucharest Romania Natl Inst Res & Dev Informat ICI Bucharest Bucharest Romania
Apache Spark is a distributed computing framework for fast in-memory data analysis, Machine Learning jobs, and SQL queries that employs Resilient distributed Dataset for distributing data and Directed Acyclic Graph fo... 详细信息
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Keynote: Future Workloads Drive the Need for High Performant and Adaptive computing Hardware
Keynote: Future Workloads Drive the Need for High Performant...
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international symposium on parallel and distributed Processing (IPDPS)
Keynote.
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The Adaptive Fault-tolerant Routing Based on an Improved Local Security Information Model of the Exchanged Hypercube  21
The Adaptive Fault-tolerant Routing Based on an Improved Loc...
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21st IEEE international symposium on parallel and distributed Processing with Applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023
作者: Zhang, Yazhi Luo, Chuanwen Wang, Guijuan Zhang, Li Lv, Mengjie Yu, Jiguo Qilu University of Technology School of Computer Science and Technology Jinan China Beijing Forestry University School of Information Science and Technology Beijing China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China Nanjing University of Posts and Telecommunications College of Computer Nanjing China Qilu University of Technology Shandong Academy of Sciences Big Data Research Institute Jinan China
With the increasing amount of computation in high-performance computing, the scale of interconnection networks is becoming larger and larger. It is inevitable that processors or links in the network become faulty. The... 详细信息
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parallel and distributed Task-Based Kirchhoff Seismic Pre-Stack Depth Migration Application  20
Parallel and Distributed Task-Based Kirchhoff Seismic Pre-St...
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20th international symposium on parallel and distributed computing (ISPDC)
作者: Gurhem, Jerome Calandra, Henri Petiton, Serge G. Univ Lille UMR 9189 CRIStAL CNRS Lille France CNRS USR 3441 Maison Simulat Saclay France Total SA Pau France
Since the middle of the 1990s, message passing libraries are the most used technology to implement parallel and distributed scientific applications. However, they may not be a solution efficient enough on exascale mac... 详细信息
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A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting
A Cholesky QR type algorithm for computing tall-skinny QR fa...
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international symposium on parallel and distributed Processing (IPDPS)
作者: Takeshi Fukaya Yuji Nakatsukasa Yusaku Yamamoto Hokkaido University Sapporo Hokkaido Japan University of Oxford Oxford UK The University of Electro-Communications Chofu Tokyo Japan
We consider computing the QR factorization with column pivoting (QRCP) for a tall and skinny matrix, which has important applications including low-rank approximation and rank determination. Motivated by recent progre... 详细信息
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Proceedings - 2020 IEEE 34th international parallel and distributed Processing symposium, IPDPS 2020
Proceedings - 2020 IEEE 34th International Parallel and Dist...
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34th IEEE international parallel and distributed Processing symposium, IPDPS 2020
The proceedings contain 110 papers. The topics discussed include: SSDKeeper: self-adapting channel allocation to improve the performance of SSD devices;a study of graph analytics for massive datasets on distributed mu...
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Towards End-to-End Compression in Lustre
Towards End-to-End Compression in Lustre
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international symposium on parallel and distributed computing
作者: Anna Fuchs Jannek Squar Michael Kuhn Universität Hamburg Hamburg Germany Otto von Guericke University of Magdeburg Magdeburg Germany
Scientific applications generate massive amounts of data, posing storage limitations and network traffic challenges. While scientists struggle with the usage of application-side compression and parallel I/O, we design... 详细信息
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