High Performance Computational Science and Engineering IFIP TC5 Workshop on High Performance Computational Science and Engineering (HPCSE), World Computer Congress, August 22–27, 2004, Toulouse, France /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ng, Michael K. (Editor), Doncescu, Andrei (Editor), Yang, Laurence T. (Editor), Leng, Tau (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2005.
• Series: IFIP — The International Federation for Information Processing, 172
• Subjects: Computer science.; Microprocessors.; Algorithms.; Numerical analysis.; Computer science > Mathematics.; Computers.; Computer simulation.; Computer Science.; Processor Architectures.; Computing Methodologies.; Simulation and Modeling.; Algorithm Analysis and Problem Complexity.; Symbolic and Algebraic Manipulation.; Numeric Computing.

International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications...

Table of Contents:

• 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.