Euro-Par 2017: Parallel Processing: 23rd International Conference on Parallel and Distributed Computing,...

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Francisco F. Rivera Tomas F. Pena

Euro-Par 2017

Parallel Processing: 23rd International Conference on Parallel and Distributed Computing, Santiago...

Francisco F. Rivera, Tomas F. Pena, Jose C. Cabaleiro

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English

Springer International Publishing AG
01 August 2017

Distributed systems; Parallel processing

Series: Theoretical Computer Science and General Issues

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.

Edited by: Francisco F. Rivera, Tomas F. Pena, Jose C. Cabaleiro
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2017
Volume: 10417
Dimensions: Height: 235mm, Width: 155mm,
Weight: 1.145kg
ISBN: 9783319642024
ISBN 10: 3319642022
Series: Theoretical Computer Science and General Issues
Pages: 725
Publication Date: 01 August 2017
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.