Euro-Par 2016 : parallel processing : 22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016 Proceedings

書誌事項

Euro-Par 2016 : parallel processing : 22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016 Proceedings

Pierre-François Dutot, Denis Trystram (eds.)

(Lecture notes in computer science, 9833 . Advanced research in computing and software science . LNCS sublibrary ; SL 1 . Theoretical computer science and general issues)

Springer International Publishing Switzerland, c2016

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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.

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