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Applied parallel computing : new paradigms for HPC in industry and academia : 5th international workshop, PARA 2000, Bergen, Norway, June 18-20, 2000 : proceedings by PARA 2000 (2000 : Bergen, Norway)

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TitleApplied parallel computing : new paradigms for HPC in industry and academia : 5th international workshop, PARA 2000, Bergen, Norway, June 18-20, 2000 : proceedings
CreatorPARA 2000 (2000 : Bergen, Norway), Sørevik, Tor, 1951-
Year2001
PPI300
PublisherBerlin ; New York : Springer
LanguageEnglish
Mediatypetexts
SubjectParallel processing (Electronic computers), High performance computing
ISBN354041729X
Collectionfolkscanomy_miscellaneous, folkscanomy, additional_collections
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Identifierspringer_10.1007-3-540-70734-4
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Applied Parallel Computing. New Paradigms for HPC in Industry and Academia: 5th International Workshop, PARA 2000 Bergen, Norway, June 18–20, 2000 ProceedingsAuthor: Tor Sørevik, Fredrik Manne, Assefaw Hadish Gebremedhin, Randi Moe Published by Springer Berlin Heidelberg ISBN: 978-3-540-41729-3 DOI: 10.1007/3-540-70734-4Table of Contents:Industrial Applications: Challenges in Modeling and Computing Data Grids for Next Generation Problems in Science and Engineering High-Performance Computers: Yesterday, Today, and Tomorrow The Evolution of OpenMP JavaGrande— High Performance Computing with Java Ocean and Climate Prediction on Parallel Super Computers LAWRA Linear Algebra with Recursive Algorithms Solving CFD Problems with Open Source Parallel Libraries High-Performance Library Software for QR Factorization Parallel Triangular Sylvester-Type Matrix Equation Solvers for SMP Systems Using Recursive Blocking On the Efficiency of Scheduling Algorithms for Parallel Gaussian Elimination with Communication Delays High Performance Cholesky Factorization via Blocking and Recursion That Uses Minimal Storage Parallel Two-Stage Reduction of a Regular Matrix Pair to Hessenberg-Triangular Form A Fast Minimal Storage Symmetric Indefinite Solver A Scalable Parallel Assembly for Irregular Meshes Based on a Block Distribution for a Parallel Block Direct Solver MUMPS: A General Purpose Distributed Memory Sparse Solver Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments A Local Refinement Algorithm for Data Partitioning Feedback Guided Scheduling of Nested Loops A Comparison of Partitioning Schemes for Blockwise Parallel SAMR Algorithms, Includes bibliographical references and index