Buch, Englisch, Band 8632, 828 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1293 g
20th International Conference, Porto, Portugal, August 25-29, 2014, Proceedings
Buch, Englisch, Band 8632, 828 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1293 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-09872-2
Verlag: Springer International Publishing
This book constitutes the refereed proceedings of the 20th International Conference on Parallel and Distributed Computing, Euro-Par 2014, held in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; green high performance 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; and GPU and accelerator computing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
- Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
Weitere Infos & Material
Support tools environments.- Performance prediction and evaluation.- Scheduling and load balancing.- High-performance architectures and compilers.- Parallel and distributed data management.- Grid, cluster and cloud computing.- Green high performance 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.
