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Euro-Par 2014: Parallel Processing: 20th International Conference, Porto, Portugal, August 25-29, 2014, Proceedings: Lecture Notes in Computer Science, cartea 8632

Editat de Fernando Silva, Inês Dutra, Vitor Santos Costa
en Limba Engleză Paperback – 4 aug 2014
This book constitutes the refereed proceedings of the 20th International Conference on Parallel and Distributed Computing, Euro-Par 2014, held in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; green high performance computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks and communication; high performance and scientific applications; and GPU and accelerator computing.
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Specificații

ISBN-13: 9783319098722
ISBN-10: 3319098721
Pagini: 872
Ilustrații: XLIV, 828 p. 298 illus.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.2 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Support tools environments.- Performance prediction and evaluation.- Scheduling and load balancing.- High-performance architectures and compilers.- Parallel and distributed data management.- Grid, cluster and cloud computing.- Green high performance computing.- Distributed systems and algorithms.- Parallel and distributed programming.- Parallel numerical algorithms.- Multicore and manycore programming.- Theory and algorithms for parallel computation.- High performance networks and communication.- High performance and scientific applications.- GPU and accelerator computing.