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Applied parallel computing : new paradigms for HPC in industry and academia : 5th international workshop, PARA | PARA 2000 (2000 : Bergen, Norway), Sørevik, Tor, 1951-

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Applied parallel computing : new paradigms for HPC in industry and academia : 5th international workshop, PARA

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Author: PARA 2000 (2000 : Bergen, Norway), Sørevik, Tor, 1951-

Added by: sketch

Added Date: 2015-12-30

Publication Date: 2001

Language: eng

Subjects: Parallel processing (Electronic computers), High performance computing

Publishers: Berlin ; New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 354041729X

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 198.91 MB

PDF Size: 7.31 MB

Extensions: djvu, gif, pdf, gz, zip, torrent, log, mrc

Edition: [Elektronische Ressource]

Archive Url

Downloads: 513

Views: 563

Total Files: 18

Media Type: texts

Description

Applied Parallel Computing. New Paradigms for HPC in Industry and Academia: 5th International Workshop, PARA 2000 Bergen, Norway, June 18–20, 2000 Proceedings
Author: Tor Sørevik, Fredrik Manne, Assefaw Hadish Gebremedhin, Randi Moe
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41729-3
DOI: 10.1007/3-540-70734-4

Table 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
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