Trobec / Vajteršic / Vajtersic Parallel Computing

Numerics, Applications, and Trends
2009
ISBN: 978-1-84882-409-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 520 Seiten, eBook

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Zielgruppe

Research

Autoren/Hrsg.

Trobec, Roman

Vajteršic, Marián

Zinterhof., Peter

Vajtersic, Marián

Zinterhof, Peter

Inhaltsverzeichnis

Overview – Parallel Computing: Numerics, Applications, and Trends
Marián Vajteršic, Peter Zinterhof and Roman Trobec

Introduction to Parallel Computation
Selim G. Akl and Marius Nagy

Tools for Parallel and Distributed Computing
Thomas Fahringer

Grid Computing
Uroš Cibej, Anthony Sulistio and Rajkumar Buyya

Parallel Structured Adaptive Mesh Refinement
Jarmo Rantakokko and Michael Thuné

Applications and Parallel Implementation of QMC Integration
Peter Jez, Andreas Uhl and Peter Zinterhof

Parallel Evolutionary Computation Framework for Single- and Multiobjective Optimization
Bogdan Filipic and Matjaž Depolli

WaLBerla: Exploiting Massively Parallel Systems for Lattice Boltzmann Simulations
Christian Feichtinger, Jan Götz, Stefan Donath, Klaus Iglberger and Ulrich Rüde

Parallel Pseudo-spectral Methods for the Time Dependent Schrödinger Equation
Tore Birkeland and Tor Sørevik

Parallel Approaches in Molecular Dynamics Simulations
Dušanka Janežic, Urban Borštnik and Matej Praprotnik

Parallel Computer Simulations of Heat Transfer in Biological Tissues
Roman Trobec

Parallel SVD Computing in the Latent Semantic Indexing Applications for Data Retrieval
Gabriel Okša and Marián Vajteršic

Short-Vector SIMD Parallelization in Signal Processing
Rade Kutil

Financial Applications: Parallel Portfolio Optimization
Andreas Grothey

The Future of Parallel Computation
Selim G. Akl and Marius Nagy