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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"
11314 条 记 录,以下是4831-4840 订阅
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QbDJ: A Novel Framework for Handling Skew in parallel Join processing on distributed Memory
QbDJ: A Novel Framework for Handling Skew in Parallel Join P...
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15th IEEE international conference on High Performance Computing and Communications (HPCC) /11th IEEE/IFIP international conference on Embedded and Ubiquitous Computing (EUC)
作者: Cheng, Long Kotoulas, Spyros Ward, Tomas E. Theodoropoulos, Georgios Natl Univ Ireland Maynooth Kildare Ireland IBM Res Dublin Ireland Univ Durham Durham DH1 3HP England
The performance of parallel distributed data management systems becomes increasingly important with the rise of Big Data. parallel joins have been widely studied both in the parallel processing and the database commun... 详细信息
来源: 评论
A distributed Vertex-Centric Approach for Pattern Matching in Massive Graphs
A Distributed Vertex-Centric Approach for Pattern Matching i...
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IEEE international conference on Big Data (Big Data)
作者: Fard, Arash Nisar, M. Usman Ramaswamy, Lakshmish Miller, John A. Saltz, Matthew Univ Georgia Dept Comp Sci Athens GA 30602 USA
Graph pattern matching is fundamentally important to many applications such as analyzing hyper-links in the World Wide Web, mining associations in online social networks, and substructure search in biochemistry. Most ... 详细信息
来源: 评论
A feasibility study on developing IoT/M2M applications over ETSI M2M architecture
A feasibility study on developing IoT/M2M applications over ...
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2013 19th IEEE international conference on parallel and distributed Systems, ICPADS 2013
作者: Lin, Fuchun Joseph Ren, Yi Cerritos, Eduardo College of Computer Science National Chiao Tung University 1001 Ta Hsueh Rd. Hsinchu 300 Taiwan
A common service platform is considered as the key enabler to catalyze the development of IoT/M2M applications for a large variety of vertical markets such as smart energy, smart transportation, home and industry auto... 详细信息
来源: 评论
distributed OPTIMIZATION VIA ADAPTIVE REGULARIZATION FOR LARGE PROBLEMS WITH SEPARABLE CONSTRAINTS
DISTRIBUTED OPTIMIZATION VIA ADAPTIVE REGULARIZATION FOR LAR...
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IEEE international conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Gilboa, Elad Chavali, Phani Yang, Peng Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA
Many practical applications require solving an optimization over large and high-dimensional data sets, which makes these problems hard to solve and prohibitively time consuming. In this paper, we propose a parallel di... 详细信息
来源: 评论
Trace Bench: An Open Data Set for Trace-Oriented Monitoring
Trace Bench: An Open Data Set for Trace-Oriented Monitoring
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IEEE international conference on Cloud Computing Technology and Science (CloudCom)
作者: Jingwen Zhou Zhenbang Chen Ji Wang Zibin Zheng Michael R. Lyu College of Computer National University of Defense Technology Changsha China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China Shenzhen Research Institute The Chinese University of Hong Kong Shenzhen China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong China
User request trace-oriented monitoring is an effective method to improve the reliability of cloud systems. However, there are some difficulties in getting traces in practice, which hinder the development of trace-orie... 详细信息
来源: 评论
A parallel processing Framework using MapReduce for Content-Based Image Retrieval
A Parallel Processing Framework using MapReduce for Content-...
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11th international conference on ICT and Knowledge Engineering (ICT and KE)
作者: Tungkasthan, Anucha Premchaiswadi, Wichian Siam Univ Grad Sch Informat Technol Bangkok Thailand
In this paper, a Hadoop MapReduce framework is presented in order to perform distributed processing used for CBIR system. Moreover, Hadoop MapReduce framework is used with the intention of increasing the performance o... 详细信息
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Acceleration of an Asynchronous Message Driven Programming Paradigm on IBM Blue Gene/Q
Acceleration of an Asynchronous Message Driven Programming P...
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IEEE 27th international parallel and distributed processing Symposium (IPDPS)
作者: Kumar, Sameer Sun, Yanhua Kale, Laxmikant V. IBM TJ Watson Res Ctr Yorktown Hts NY 10598 USA Univ Illinois Urbana Urbana Urbana IL USA
IBM Blue Gene/Q is the next generation Blue Gene machine that can scale to tens of Peta Flops with 16 cores and 64 hardware threads per node. However, significant efforts are required to fully exploit its capacity on ... 详细信息
来源: 评论
Look before You Leap: Using the Right Hardware Resources to Accelerate applications
Look before You Leap: Using the Right Hardware Resources to ...
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IEEE international conference on High Performance Computing and Communications (HPCC)
作者: Jie Shen Ana Lucia Varbanescu Henk Sips Delft University of Technology The Netherlands University of Amsterdam The Netherlands
GPUs are widely used to accelerate data-parallel applications. However, while the GPU processing capability is enhanced in each generation, the CPU computing power is also increased by adding more cores and widening v... 详细信息
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A Scalability Model for distributed Resource Management in Real-Time Online applications
A Scalability Model for Distributed Resource Management in R...
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42nd Annual international conference on parallel processing (ICPP)
作者: Meilaender, Dominik Koettinger, Sebastian Gorlatch, Sergei Univ Munster D-48149 Munster Germany
We consider a challenging class of highly interactive virtual environments, also known as Real-Time Online Interactive applications (ROIA). Popular examples of ROIA include multi-player online computer games, e-learni... 详细信息
来源: 评论
A Locality-Aware Dynamic Thread Scheduler for GPGPUs  14
A Locality-Aware Dynamic Thread Scheduler for GPGPUs
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14th international conference on parallel and distributed Computing, applications and Technologies (PDCAT)
作者: Huang, Yu-Hao Tseng, Ying-Yu Kuo, Hsien-Kai Yen, Ta-Kan Lai, Bo-Cheng Charles Natl Chiao Tung Univ Dept Elect Engn Hsinchu 30010 Taiwan
Modern GPGPUs implement on-chip shared cache to better exploit the data reuse of various general purpose applications. Given the massive amount of concurrent threads in a GPGPU, striking the balance between Data Local... 详细信息
来源: 评论