Euro-Par 2013: Parallel Processing

19th International Conference, Aachen, Germany, August 26-30, 2013, Proceedings
2013
ISBN: 978-3-642-40046-9
Verlag: Springer

Buch, Englisch, Band 8097, 890 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1364 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 19th International Conference on Parallel and Distributed Computing, Euro-Par 2013, held in Aachen, Germany, in August 2013. The 70 revised full papers presented were carefully reviewed and selected from 261 submissions. The papers are organized in 16 topical sections: support tools and environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer-to-peer 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; and extreme-scale computing.

Zielgruppe

Research

Autoren/Hrsg.

Wolf, Felix

An Mey, Dieter

Mohr, Bernd

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)

Inhaltsverzeichnis

Support tools and environments.- Performance prediction and evaluation.- Scheduling and load balancing.- High-performance architectures and compilers.- Parallel and distributed data management.- Grid, cluster and cloud computing.- Peer-to-peer 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.- Extreme-scale computing.