Large-Scale Scientific Computing

9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers
2014
ISBN: 978-3-662-43879-4
Verlag: Springer

Buch, Englisch, 654 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1001 g

Reihe: Theoretical Computer Science and General Issues

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Large-Scale Scientific Computations, LSSC 2013, held in Sozopol, Bulgaria, in June 2013. The 74 revised full papers presented together with 5 plenary and invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on numerical modeling of fluids and structures; control and uncertain systems; Monte Carlo methods: theory, applications and distributed computing; theoretical and algorithmic advances in transport problems; applications of metaheuristics to large-scale problems; modeling and numerical simulation of processes in highly heterogeneous media; large-scale models: numerical methods, parallel computations and applications; numerical solvers on many-core systems; cloud and grid computing for resource-intensive scientific applications.

Zielgruppe

Research

Autoren/Hrsg.

Lirkov, Ivan

Wa¿niewski, Jerzy

Margenov, Svetozar

Wasniewski, Jerzy

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)

Inhaltsverzeichnis

Numerical modeling of fluids and structures.- Control and uncertain systems.- Monte Carlo methods: theory, applications and distributed computing.- Theoretical and algorithmic advances in transport problems.- Applications of metaheuristics to large-scale problems.- Modeling and numerical simulation of processes in highly heterogeneous media.- Large-scale models: numerical methods, parallel computations and applications.- Numerical solvers on many-core systems.- Cloud and grid computing for resource-intensive scientific applications.