Euro-Par 2017: Parallel Processing

23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 ¿ September 1, 2017, Proceedings
Herausgegeben:Rivera, Francisco F.; Pena, Tomás F.; Cabaleiro, José C.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Theoretical Computer Science and General Issues 10417
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-64202-4
• 1st ed. 2017
• Seitenzahl: 760
• Erscheinungstermin: 1. August 2017
• Englisch
• Abmessung: 235mm x 155mm x 41mm
• Gewicht: 1194g
• ISBN-13: 9783319642024
• ISBN-10: 3319642022
• Artikelnr.: 48551565

Inhaltsangabe

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.