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
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]
Downloads: 505
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Total Files: 18
Media Type: texts
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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
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:
Includes bibliographical references and index
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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