High Performance Computational Science and Engineering
Springer-Verlag New York Inc.
978-1-4419-3684-4 (ISBN)
Computational Science and Engineering is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry ranging from engineering, science, finance, economics, arts and humanitarian fields. New challenges are in modeling of complex systems, sophisticated algorithms, advanced scientific and engineering computing, and associated (multi-disciplinary) problem solving environments. The papers presented in this volume are specially selected to address the most up-to-date ideas, results, work-in-progress and research experience in the area of high performance computational techniques for science and engineering applications.
This state-of-the-are volume presents the proceedings of the International Symposium on High Performance Computational Science and Engineering, held in conjunction with the IFIP World Computer Congress, August 2004, in Toulouse, France.
The collection will be important not only for computational science and engineering experts and researchers but for all teachers and administrators interested in high performance computational techniques.
Keynote Talk.- Exploiting Multiple Levels of Parallelism in Scientific Computing.- Distributed Computing.- A Sparse Distributed Memory Capable of Handling Small Cues, SDMSCue.- Towards a Realistic Performance Model for Networks of Heterogeneous Computers.- Extending Clustersim with MP And DSM Modules.- Rendering Complex Scenes on Clusters with Limited Precomputation.- Numerical Computations.- Evaluation of Parallel Aggregate Creation Orders: Smoothed Aggregation Algebraic Multigrid Method.- Pinpointing the Real Zeros of Analytic Functions.- Reducing Overhead in Sparse Hypermatrix Cholesky Factorization.- Computational Applications.- Parallel Image Analysis of Morphological Yeast Cells.- An Hybrid Approach to Real Complex System Optimization.- Optimal Decision Making for Airline Inventory Control.- Automatic Text Classification Using an Artificial Neural Network.
| Erscheint lt. Verlag | 6.12.2010 |
|---|---|
| Reihe/Serie | IFIP International Federation for Information Processing ; 172 |
| Zusatzinfo | X, 238 p. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Hardware | |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 1-4419-3684-X / 144193684X |
| ISBN-13 | 978-1-4419-3684-4 / 9781441936844 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
