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Euro-Par 2017: Parallel Processing: 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017, Proceedings: Lecture Notes in Computer Science, cartea 10417

Editat de Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro
en Limba Engleză Paperback – aug 2017
This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following 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 and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.
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Specificații

ISBN-13: 9783319642024
ISBN-10: 3319642022
Pagini: 725
Ilustrații: XXXII, 725 p. 261 illus.
Dimensiuni: 155 x 235 mm
Greutate: 1.04 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

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 and languages.- Multicore and manycore parallelism.- Theory and algorithms for parallel computation and networking.- Parallel numerical methods and applications.- Accelerator computing.

Caracteristici

Includes supplementary material: sn.pub/extras