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High Performance Computational Science and Engineering

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Cover of 'High Performance Computational Science and Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Multiple Levels of Parallelism in Scientific Computing
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    Chapter 2 A Sparse Distributed Memory Capable of Handling Small Cues, SDMSCue
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    Chapter 3 Towards a Realistic Performance Model for Networks of Heterogeneous Computers
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    Chapter 4 Extending Clustersim with MP And DSM Modules
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    Chapter 5 Rendering Complex Scenes on Clusters with Limited Precomputation
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    Chapter 6 Evaluation of Parallel Aggregate Creation Orders: Smoothed Aggregation Algebraic Multigrid Method
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    Chapter 7 Pinpointing the Real Zeros of Analytic Functions
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    Chapter 8 Reducing Overhead in Sparse Hypermatrix Cholesky Factorization
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    Chapter 9 Parallel Image Analysis of Morphological Yeast Cells
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    Chapter 10 An Hybrid Approach to Real Complex System Optimization
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    Chapter 11 Optimal Decision Making for Airline Inventory Control
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    Chapter 12 Automatic Text Classification Using an Artificial Neural Network
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Title
High Performance Computational Science and Engineering
Published by
Springer US, September 2005
DOI 10.1007/b104300
ISBNs
978-0-387-24048-0, 978-0-387-24049-7
Editors

Ng, Michael K., Doncescu, Andrei, Yang, Laurence T., Leng, Tau

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