Parallel Computing: Numerics, Applications, and Trends / Edition 1

by Roman Trobec, Marián Vajtersic, Peter Zinterhof

Overview

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 influencing directly the rapid growth of parallel and distributed computing. However, in order to make these benefits 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.

Product Details

ISBN-13:	9781848824089
Publisher:	Springer London
Publication date:	06/04/2009
Edition description:	2009
Pages:	520
Product dimensions:	6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

Overview – Parallel Computing: Numerics, Applications, and Trends.- to Parallel Computation.- Tools for Parallel and Distributed Computing.- Grid Computing.- Parallel Structured Adaptive Mesh Refinement.- Applications and Parallel Implementation of QMC Integration.- Parallel Evolutionary Computation Framework for Single- and Multiobjective Optimization.- WaLBerla: Exploiting Massively Parallel Systems for Lattice Boltzmann Simulations.- Parallel Pseudo-Spectral Methods for the Time-Dependent Schrödinger Equation.- Parallel Approaches in Molecular Dynamics Simulations.- Parallel Computer Simulations of Heat Transfer in Biological Tissues.- Parallel SVD Computing in the Latent Semantic Indexing Applications for Data Retrieval.- Short-Vector SIMD Parallelization in Signal Processing.- Financial Applications: Parallel Portfolio Optimization.- The Future of Parallel Computation.

Editorial Reviews

From the reviews: “This is collection of 15 chapters, mostly on topics related to numerical computation … . The target audience consists of researchers, practitioners, and students. … The typesetting is of high quality, and there many well-rendered mathematical problems on display. … the book includes a tantalizingly short introduction to quantum computing. … this could become a worthwhile first approach to a new computing paradigm … . Again the included references will help those interested in the subject.” (A. Squassabia, ACM Computing Reviews, February, 2010)

From the Publisher