Euro-Par 2017: Parallel Processing

Francisco F. Rivera

ISBN 10: 3319642022 / ISBN 13: 9783319642024

Verlag: Springer International Publishing Aug 2017, 2017

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 760 pp. Englisch.

Bestandsnummer des Verkäufers 9783319642024

Bibliografische Details

• Titel: Euro-Par 2017: Parallel Processing
• Verlag: Springer International Publishing Aug 2017
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 3319642022
• ISBN-13: 9783319642024
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 41 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 41 mm
• Gewicht: 1130 Gramm

Über diesen Titel

Inhaltsangabe

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.