Parallel Computing: Numerics, Applications, and Trends
(Sprache: Englisch)
This book targets development of efficient parallel computational methods for different scientific and technical applications. Readers who wish to design and implement efficient solutions on parallel and distributed computer systems are given insight into...
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This book targets development of efficient parallel computational methods for different scientific and technical applications. Readers who wish to design and implement efficient solutions on parallel and distributed computer systems are given insight into the theory of the computational methods through practical application being emphasized throughout. Features: Discusses development of algorithms for different applications plus other aspects related to parallel numerical solution of PDEs (e.g. grid refinement). Considers other numerical applications such as data retrieval by linear algebra approach and quasi Monte-Carlo methods. Covers molecular dynamics, computational quantum physics, analysis of bio-signals and image and video coding. Chapters overviews and conclusions with a discussion on future work. This concise volume provides the state-of-the-art in parallel and distributed computing, and is a must-read for practitioners, researchers and graduate students.
Klappentext zu „Parallel Computing: Numerics, Applications, and Trends “
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.
This book targets development of efficient parallel computational methods for different scientific and technical applications. Readers who wish to design and implement efficient solutions on parallel and distributed computer systems are given insight into the theory of the computational methods through practical application being emphasized throughout. Features: Discusses development of algorithms for different applications plus other aspects related to parallel numerical solution of PDEs (e.g. grid refinement). Considers other numerical applications such as data retrieval by linear algebra approach and quasi Monte-Carlo methods. Covers molecular dynamics, computational quantum physics, analysis of bio-signals and image and video coding. Chapters overviews and conclusions with a discussion on future work. This concise volume provides the state-of-the-art in parallel and distributed computing, and is a must-read for practitioners, researchers and graduate students.
Inhaltsverzeichnis zu „Parallel Computing: Numerics, Applications, and Trends “
Overview - Parallel Computing: Numerics, Applications, and TrendsMarián Vajtersic, Peter Zinterhof and Roman TrobecIntroduction to Parallel ComputationSelim G. Akl and Marius NagyTools for Parallel and Distributed ComputingThomas FahringerGrid ComputingUros 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 Matjaz 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 SimulationsDusanka Janezic, Urban Borstnik and Matej PraprotnikParallel Computer Simulations of Heat Transfer in Biological TissuesRoman TrobecParallel SVD Computing in the Latent Semantic Indexing Applications for Data RetrievalGabriel Oksa and Marián VajtersicShort-Vector SIMD Parallelization in Signal ProcessingRade KutilFinancial Applications: Parallel Portfolio OptimizationAndreas GrotheyThe Future of Parallel ComputationSelim G. Akl and Marius Nagy
Bibliographische Angaben
- 2009, 520 Seiten, Masse: 16,7 x 24,2 cm, Gebunden, Englisch
- Herausgegeben: Roman Trobec, Marián Vajtersic, Peter Zinterhof
- Verlag: Springer, London
- ISBN-10: 1848824084
- ISBN-13: 9781848824089
Sprache:
Englisch
Rezension zu „Parallel Computing: Numerics, Applications, and Trends “
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)
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