Overview
- Includes 23 survey articles written by distinguished mathematicians
- Presents new developments in the construction, analysis, and implementation of parallel computing algorithms
- Construction and analysis of parallel algorithms for linear algebra and optimization problems
- Different aspects of parallel architechtures, including distributed memory computers with multicore processors
- Wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 27)
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Table of contents (23 chapters)
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Front Matter
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Parallel Algorithms for Matrix Computations
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Front Matter
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Parallel Optimization
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Front Matter
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Management of Parallel Programming Models and Data
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Front Matter
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Parallel Scientific Computing in Industrial Applications
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Front Matter
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Keywords
About this book
Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.
Key features include:
* construction and analysis of parallel algorithms for linear algebra and optimization problems;
* different aspects of parallel architectures, including distributed memory computers with multicore processors;
* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.
This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.
Reviews
From the reviews:
"This book reflects the state of the art in parallel algorithms and their implementation for solving optimization problems and applications involving such problems. … the volume is recommended for graduate students and researchers in applied mathematics and computer science. Scientists engaged in parallel scientific computing … welcome this compilation of latest achievements in this field." (Dana Petcu, Mathematical Reviews, Issue 2009 m)
Authors and Affiliations
Bibliographic Information
Book Title: Parallel Scientific Computing and Optimization
Book Subtitle: Advances and Applications
Authors: Raimondas Čiegis, David Henty, Bo Kågström, Julius Žilinskas
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-09707-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-09706-0Published: 21 November 2008
Softcover ISBN: 978-1-4419-1884-0Published: 25 November 2010
eBook ISBN: 978-0-387-09707-7Published: 08 October 2008
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XXIV, 274
Topics: Probability Theory and Stochastic Processes, Theory of Computation, Operations Research/Decision Theory, Operations Research, Management Science, Artificial Intelligence, Linear and Multilinear Algebras, Matrix Theory