应用并行计算

出版时间：2002-12  出版社：1 edition (2002年8月1日)  作者：Juha Fagerholm  页数：612  

内容概要

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.

书籍目录

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 GridII 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 TechniquesIII 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 TigerSharcIV 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 ProgramsV Computer ScienceVI Numerical Algorithms with Hierarchical Memory OptimizationVII Numerical Methods and Algorithms AVIII Numerical Methods and Algorithms BIX Numerical Methods and Algorithms CX Experiences with Cluster Computing AXI Experiences with Cluster Computing BXII Grid and Network TechnologiesXIII Physics and ApplicationsAuthor Index