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.

Focuses on development of efficient parallel computational methods with a practical emphasis, thereby conveying a deeper understanding to the reader

Overview ¿ Parallel Computing: Numerics, Applications, and TrendsMarián Vajteršic, Peter Zinterhof and Roman TrobecIntroduction to Parallel ComputationSelim G. Akl and Marius NagyTools for Parallel and Distributed ComputingThomas FahringerGrid ComputingUroš Cibej, Anthony Sulistio and Rajkumar BuyyaParallel Structured Adaptive Mesh RefinementJarmo Rantakokko and Michael ThunéApplications and Parallel Implementation of QMC IntegrationPeter Jez, Andreas Uhl and Peter ZinterhofParallel Evolutionary Computation Framework for Single- and Multiobjective OptimizationBogdan Filipic and Matjaž DepolliWaLBerla: Exploiting Massively Parallel Systems for Lattice Boltzmann SimulationsChristian Feichtinger, Jan Götz, Stefan Donath, Klaus Iglberger and Ulrich RüdeParallel Pseudo-spectral Methods for the Time Dependent Schrödinger EquationTore Birkeland and Tor SørevikParallel Approaches in Molecular Dynamics SimulationsDušanka Janežic, Urban Borštnik and Matej PraprotnikParallel Computer Simulations of Heat Transfer in Biological TissuesRoman TrobecParallel SVD Computing in the Latent Semantic Indexing Applications for Data RetrievalGabriel Okša and Marián VajteršicShort-Vector SIMD Parallelization in Signal ProcessingRade KutilFinancial Applications: Parallel Portfolio OptimizationAndreas GrotheyThe Future of Parallel ComputationSelim G. Akl and Marius Nagy