应用并行计算：先进科学计算（会议录）

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作　者：	Juha Fagerholm　著
出版社：	湖南文艺出版社
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标　签：	暂缺

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ISBN：	9783540437864	出版时间：	2002-12-01	包装：	平装
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内容简介

　　This book constitutes the refereed proceedings of the 6th International Conference on Applied Parallel Computing， PARA 2002， held in Espoo， Finland， in June 2002.The 50 revised full papers presented together with nine keynote lectures were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on data mining and knowledge discovery， parallel program development， practical experience in parallel computing， computer science， numerical algorithms with hierarchical memory optimization， numerical methods and algorithms， cluster computing， grid and network technologies， and physics and applications.

作者简介

暂缺《应用并行计算：先进科学计算（会议录）》作者简介

图书目录

I Keynote Lectures
Enabling Numerical and Software Technologies for Studying the Electrical Activity in ttuman Heart
Parallel Patient-Specific Computational Haemodynamics
High Performance Computing, Computational Grid, and Numerical Libraries
Grid Computing: Enabling a Vision for Collaborative Research
HPC-What Might the Future Hold?
　Multi-physics and Multi-scale Modelling of Materials Processing
Co-array Fortran for Full and Sparse Matrices
Measuring the Local Geometry of Valleys in Complex Energy Landscapes by Exhaustive Exploration: The Lid Method
An Overview of an Architechture Proposal for a High Energy Physics Grid
II Datamining and Knowledge Discovery
A Data Mining Architecture for Clustered Environments
Automated Fitting and Rational Modeling Algorithm for EM-Based S-Parameter Data
A Proposal of High Performance Data Mining System
A Quasi-Parallel Realization of the Investment Frontier in Computer Resource Allocation Using Simple Genetic Algorithm on a Single Computer
Parallelism in Knowledge Discovery Techniques
III Parallel Program Development
A New Approach to Parallel Debugger Architecture
ALCOR-An Algorithmic Concept Recognition Tool to Support High Level Parallel Program Development
MPIT-Communication/Computation Paradigm for Networks of SMP Workstations
Code Optimization Techniques of Data-Intensive Tasks onto Statically Scheduled Architectures: Optimal Performance on the TigerSharc
IV Practical Experiences in Parallel Computing
PIT: A Library for the Parallelization of Irregular Problems
Parallel Information Retrieval with Query Expansion
Reducing Communication Cost for Parallelizing Irregular Scientific Codes
Implementation of Parallel Collection Equi-Join Using MPI
Practical Experiences in Parallelizing Existent Computer Programs
V Computer Science
VI Numerical Algorithms with Hierarchical Memory Optimization
VII Numerical Methods and Algorithms A
VIII Numerical Methods and Algorithms B
IX Numerical Methods and Algorithms C
X Experiences with Cluster Computing A
XI Experiences with Cluster Computing B
XII Grid and Network Technologies
XIII Physics and Applications
Author Index