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检索条件"任意字段=IEEE International Symposium on Parallel and Distributed Processing with Applications"
16627 条 记 录,以下是181-190 订阅
排序:
A Semantic-aware Information System for Multi-Domain applications over Service Grids
A Semantic-aware Information System for Multi-Domain Applica...
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23rd ieee international parallel and distributed processing symposium
作者: Comito, Carmela Mastroianni, Carlo Talia, Domenico Univ Calabria DEIS I-87030 Commenda Di Rende Italy CNR ICAR I-00185 Rome Italy
Service-oriented Grid frameworks offer resources and facilities to support the design and execution of distributed applications in different domains, ranging from scientific applications and public computing projects ... 详细信息
来源: 评论
MPIXternal: A Library for a Portable Adjustment of parallel MPI applications to Heterogeneous Environments
MPIXternal: A Library for a Portable Adjustment of Parallel ...
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23rd ieee international parallel and distributed processing symposium
作者: Clauss, Carsten Lankes, Stefan Bemmerl, Thomas Rhein Westfal TH Aachen Chair Operating Syst D-52056 Aachen Germany
Nowadays, common systems in the area of high performance computing exhibit highly hierarchical architectures. As a result, achieving satisfactory;application performance demands an adaptation of the respective paralle... 详细信息
来源: 评论
Dynamic Acceleration of parallel applications in Cloud Platforms by Adaptive Time-Slice Control  30
Dynamic Acceleration of Parallel Applications in Cloud Platf...
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30th ieee international parallel and distributed processing symposium (IPDPS)
作者: Wu, Song Xie, Zhenjiang Chen, Haibao Di, Sheng Zhao, Xinyu Jin, Hai Huazhong Univ Sci & Technol Sch Comp Sci & Technol Cluster & Grid Comp Lab Serv Comp Technol & Syst Lab Wuhan 430074 Peoples R China Argonne Natl Lab Argonne IL 60439 USA
Tightly-coupled parallel applications in cloud systems may suffer from significant performance degradation because of the resource over-commitment issue. In this paper, we propose a dynamic approach based on the adapt... 详细信息
来源: 评论
A parallel Resampling Algorithm for Particle Filtering on Shared-Memory Architectures
A Parallel Resampling Algorithm for Particle Filtering on Sh...
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26th ieee international parallel and distributed processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing
作者: Gong, Peng Basciftci, Yuksel Ozan Ozguner, Fusun Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA
Many real-world applications such as positioning, navigation, and target tracking for autonomous vehicles require the estimation of some time-varying states based on noisy measurements made on the system. Particle fil... 详细信息
来源: 评论
Misleading generalized itemset mining in the cloud  12
Misleading generalized itemset mining in the cloud
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12th ieee international symposium on parallel and distributed processing with applications (ISPA)
作者: Baralis, Elena Cagliero, Luca Cerquitelli, Tania Chiusano, Silvia Garza, Paolo Grimaudo, Luigi Pulvirenti, Fabio Politecn Torino Dipartimento Automat & Informat I-10129 Turin Italy
In the era of smart cities huge data volumes are continuously generated and collected, thus prompting the need for efficient and distributed data mining approaches. Generalized itemset mining is an established data mi... 详细信息
来源: 评论
parallel Computing in DNNs Using CPU and MIC  15
Parallel Computing in DNNs Using CPU and MIC
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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)
作者: Fan, Sijiang Zhang, Shiqing He, Ximing Fei, Jiawei Shen, Li Wang, Zhiying Natl Univ Def Technol Sch Comp State Key Lab High Performance Comp Changsha Hunan Peoples R China
Acceleration for the training process of Deep Neural Networks (DNNs) has been the focus of deep learning field. There were many researches of accelerating deep learning on different platforms. Among them, Intel Xeon P... 详细信息
来源: 评论
User Allocation for Real-Time applications with State Sharing in Fog Computing Networks
User Allocation for Real-Time Applications with State Sharin...
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35th ieee international parallel and distributed processing symposium (IPDPS)
作者: Sato, Ryohei Kawaguchi, Hidetoshi Nakatani, Yuichi NTT Network Serv Syst Labs Musashino Tokyo Japan
applications in which multiple users share the states in real-time over a network have been rapidly spreading, but network latency degrades their quality of service (QoS) and quality of experience (QoE). Although Fog ... 详细信息
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Network resource control for data intensive applications in heterogeneous infrastructures
Network resource control for data intensive applications in ...
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26th ieee international parallel and distributed processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing
作者: Zhao, Zhiming Dumitru, Cosmin Grosso, Paola de Laat, Cees Univ Amsterdam Inst Informat Syst & Network Engn Res Grp NL-1098 XH Amsterdam Netherlands
Many scientific workflow applications are data intensive. Large quantities of simulation generated data or data collected from sensors or instruments drive the process flow of the applications, and the processing of t... 详细信息
来源: 评论
Towards High Performance processing of Streaming Data in Large Data Centers  30
Towards High Performance Processing of Streaming Data in Lar...
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30th ieee international parallel and distributed processing symposium (IPDPS)
作者: Kamburugamuve, Supun Ekanayake, Saliya Pathirage, Milinda Fox, Geoffrey Indiana Univ Sch Informat & Comp Bloomington IN 47405 USA
Smart devices, mobile robots, ubiquitous sensors, and other connected devices in the Internet of Things (IoT) increasingly require real-time computations beyond their hardware limits to process the events they capture... 详细信息
来源: 评论
Minimizing rental cost for multiple recipe applications in the Cloud  30
Minimizing rental cost for multiple recipe applications in t...
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30th ieee international parallel and distributed processing symposium (IPDPS)
作者: Hanna, Fouad Marchal, Loris Nicod, Jean-Marc Philippe, Laurent Rehn-Sonigo, Veronika Sabbah, Hala UFC UBFC CNRS ENSMM UTBM FEMTO ST Inst Besancon France ENS Lyon CNRS INRIA LIP Besancon France
Clouds are more and more becoming a credible alternative to parallel dedicated resources. The pay-per-use pricing policy however highlights the real cost of computing applications. This new criterion, the cost, must t... 详细信息
来源: 评论