Euro-Par 2015: Parallel Processing

21st International Conference on Parallel and Distributed Computing, Vienna, Austria, August 24-28, 2015, Proceedings

Nonfiction, Computers, Operating Systems, Programming, Programming Languages, General Computing
Cover of the book Euro-Par 2015: Parallel Processing by , Springer Berlin Heidelberg
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Author: ISBN: 9783662480960
Publisher: Springer Berlin Heidelberg Publication: July 24, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783662480960
Publisher: Springer Berlin Heidelberg
Publication: July 24, 2015
Imprint: Springer
Language: English

This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.

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This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.

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