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Titlebook: Euro-Par 2016: Parallel Processing; 22nd International C Pierre-Fran?ois Dutot,Denis Trystram Conference proceedings 2016 Springer Internat

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書目名稱Euro-Par 2016: Parallel Processing
副標(biāo)題22nd International C
編輯Pierre-Fran?ois Dutot,Denis Trystram
視頻videohttp://file.papertrans.cn/317/316536/316536.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Euro-Par 2016: Parallel Processing; 22nd International C Pierre-Fran?ois Dutot,Denis Trystram Conference proceedings 2016 Springer Internat
描述.This book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France, in August 2016. ..The 47 revised full papers presented together with 2 invited papers and one industrial paper were carefully reviewed and selected from 176 submissions. The papers are organized in 12 topical sections: Support Tools and Environments; Performance and Power Modeling, Prediction and Evaluation; Scheduling and Load Balancing; High Performance Architectures and Compilers; Parallel and Distributed Data Management and Analytics; Cluster and Cloud Computing; Distributed Systems and Algorithms; Parallel and Distributed Programming, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods and Applications; Accelerator Computing..
出版日期Conference proceedings 2016
關(guān)鍵詞big data; GPU; parallel architectures; parallelization; programming model; algorithms; applications; archit
版次1
doihttps://doi.org/10.1007/978-3-319-43659-3
isbn_softcover978-3-319-43658-6
isbn_ebook978-3-319-43659-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

書目名稱Euro-Par 2016: Parallel Processing影響因子(影響力)




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Nasty-MPI: Debugging Synchronization Errors in MPI-3 One-Sided Applicationsion parameters for both the sending and receiving side by providing support for asynchronous reads and updates of distributed shared data. While MPI RMA communication can be highly efficient, proper synchronization of possibly conflicting accesses to shared data is a challenging task..This paper pre
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Penalized Graph Partitioning for Static and Dynamic Load Balancinggraph partitioning algorithms have been successfully applied in various application areas. However, there is a mismatch between solutions found by classic graph partitioning and the behavior of many real hardware systems. Graph partitioning assumes that individual vertex weights add up?to partition
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