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检索条件"任意字段=International Symposium on Databases in Parallel and Distributed Systems"
9684 条 记 录,以下是111-120 订阅
Programming Open distributed systems in Maude  24
Programming Open Distributed Systems in Maude
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26th international Conference on Principles and Practice of Declarative Programming (PPDP)
作者: Duran, Francisco Eker, Steven Escobar, Santiago Marti-Oliet, Narciso Meseguer, Jose Rubio, Ruben Talcott, Carolyn Univ Malaga Malaga Spain SRI Int Menlo Pk CA USA Univ Politecn Valencia Valencia Spain Univ Complutense Madrid Madrid Spain Univ Illinois Champaign IL USA
Maude is a high-performance logical framework based on rewriting logic and supporting formal specification, verification and declarative programming of concurrent systems. Since most concurrent open systems are made u... 详细信息
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25th international Workshop on Job Scheduling Strategies for parallel Processing, JSSPP 2022, held in conjunction with the 36th IEEE international parallel and distributed Processing symposium, IPDPS 2022
25th International Workshop on Job Scheduling Strategies for...
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25th international Workshop on Job Scheduling Strategies for parallel Processing, JSSPP 2022, held in conjunction with the 36th IEEE international parallel and distributed Processing symposium, IPDPS 2022
The proceedings contain 12 papers. The special focus in this conference is on Job Scheduling Strategies for parallel Processing. The topics include: Optimization of Execution Parameters of Moldable Ultrasoun...
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Falcon: A Timestamp-based Protocol to Maximize the Cache Efficiency in the distributed Shared Memory  36
Falcon: A Timestamp-based Protocol to Maximize the Cache Eff...
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Zhang, Jin Yu, Xiangyao Qi, Zhengwei Guan, Haibing Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Wisconsin Madison WI USA
distributed shared memory (DSM) systems can handle data-intensive applications and recently receiving more attention. A majority of existing DSM implementations are based on write-invalidation (WI) protocols, which ac... 详细信息
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A secure architecture for exploring patient-level databases from distributed institutions  35
A secure architecture for exploring patient-level databases ...
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35th IEEE international symposium on Computer-Based Medical systems (CBMS)
作者: Almeida, Joao Rafael Barraca, Joao Paulo Oliveira, Jose Luis Univ Aveiro DETI IEETA Aveiro Portugal Univ Aveiro DETI IT Aveiro Portugal Univ A Coruna Dept Informat & Commun Technol La Coruna Spain
One of the main goals of clinical studies consists of identifying diseases' causes and improving the efficacy of medical treatments. Sometimes, the reduced number of participants is a limiting factor for these stu... 详细信息
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Introducing parallel Computing in a Second CS Course  36
Introducing Parallel Computing in a Second CS Course
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Newhall, Tia Webb, Kevin C. Chaganti, Vasanta Danner, Andrew Swarthmore Coll Comp Sci Dept Swarthmore PA 19081 USA
The ubiquity of multicore processors, cloud computing, and hardware accelerators have elevated parallel and distributed computing (PDC) topics into fundamental building blocks of the undergraduate CS curriculum. There... 详细信息
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Performance Portability of the Chapel Language on Heterogeneous Architectures
Performance Portability of the Chapel Language on Heterogene...
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1st international Conference on Smart Energy systems and Artificial Intelligence (SESAI)
作者: Milthorpe, Josh Wang, Xianghao Azizi, Ahmad Oak Ridge Natl Lab POB 2009 Oak Ridge TN 37830 USA Australian Natl Univ Canberra ACT Australia
A performance-portable application can run on a variety of different hardware platforms, achieving an acceptable level of performance without requiring significant rewriting for each platform. Several performance-port... 详细信息
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Scalable Data parallel distributed Training for Graph Neural Networks  36
Scalable Data Parallel Distributed Training for Graph Neural...
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Koyama, Sohei Tatebe, Osamu Univ Tsukuba Tsukuba Ibaraki Japan
Graph neural networks (GNNs) operate on data represented as graphs, and are useful for a wide variety of tasks from chemical reaction and protein structure prediction to content recommendation systems. However, traini... 详细信息
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Accelerating Native Transaction Processing in LSM-Based Persistent Key-Value Stores
Accelerating Native Transaction Processing in LSM-Based Pers...
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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)
作者: Jin Xue Zili Shao Department of Computer Science and Engineering The Chinese University of Hong Kong
In recent years, key-value stores (KV stores) [1]-[3] begin to gain popularity as storage engines for large-scale data applications. KV stores are fundamentally different from traditional SQL databases and with the ke... 详细信息
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Analysis of Mutual Inductance Between parallel Branches for ANPC Laminated Busbar  14
Analysis of Mutual Inductance Between Parallel Branches for ...
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14th IEEE international symposium on Power Electronics for distributed Generation systems, PEDG 2023
作者: Hu, Sideng Tahir, Mustafa Niu, Jianfeng Fujishima, Naoto Lei, Yun He, Xiangning Zhejiang University College of Electrical Engineering Hangzhou China Fuji Electric Co. Ltd. Semiconductors Business Group Matsumoto Japan Fuji Electric Co. Ltd. Technology Strategy & Planning Office Corporate R&d Headquarters Japan
Multiple power modules are interfaced in parallel via laminated busbar in high-capacity active neutral-point clamped (ANPC) converters. Consequently, the complex mutual coupling among parallel branches profoundly affe... 详细信息
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Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning  36
Why Globally Re-shuffle? Revisiting Data Shuffling in Large ...
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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)
作者: Nguyen, Truong Thao Trahay, Francois Domke, Jens Drozd, Aleksandr Vatai, Emil Liao, Jianwei Wahib, Mohamed Gerofi, Balazs Natl Inst Adv Ind Sci & Technol Tokyo Japan Inst Polytech Paris Telecom SudParis Paris France RIKEN Ctr Computat Sci Tokyo Japan Southwest Univ China Coll Comp & Informat Sci Chongqing Peoples R China Tokyo Inst Technol Tokyo Japan Amigawa GK Tokyo Japan
Stochastic gradient descent (SGD) is the most prevalent algorithm for training Deep Neural Networks (DNN). SGD iterates the input data set in each training epoch processing data samples in a random access fashion. Bec... 详细信息
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