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High Performance Computing for Computational Science - VECPAR 2008

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Table of Contents

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    Book Overview
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    Chapter 1 High Performance Computing for Computational Science - VECPAR 2008
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    Chapter 2 Parallelization of Sphere-Decoding Methods
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    Chapter 3 Improving the Performance of a Verified Linear System Solver Using Optimized Libraries and Parallel Computation
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    Chapter 4 Parallelisation of the CFD Code of a CFD-NWP Coupled System for the Simulation of Atmospheric Flows over Complex Terrain
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    Chapter 5 High Performance Computing for Eigenvalue Solver in Density-Matrix Renormalization Group Method: Parallelization of the Hamiltonian Matrix-Vector Multiplication
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    Chapter 6 Tunable Parallel Experiments in a GridRPC Framework: Application to Linear Solvers
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    Chapter 7 The Rise of the Commodity Vectors
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    Chapter 8 MOPS – A Morphodynamical Prediction System on Cluster Computers
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    Chapter 9 Implementing a Parallel NetCDF Interface for Seamless Remote I/O Using Multi-dimensional Data
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    Chapter 10 Vectorized AES Core for High-throughput Secure Environments
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    Chapter 11 A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform
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    Chapter 12 Can We Connect Existing Production Grids into a World Wide Grid?
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    Chapter 13 A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clusters
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    Chapter 14 Data Locality Aware Strategy for Two-Phase Collective I/O
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    Chapter 15 A Grid-Aware Web Portal with Advanced Service Trading for Linear Algebra Calculations
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    Chapter 16 Resource Matching in Non-dedicated Multicluster Environments
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    Chapter 17 A Parallel Incremental Learning Algorithm for Neural Networks with Fault Tolerance
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    Chapter 18 High-Performance Query Processing of a Real-World OLAP Database with ParGRES
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    Chapter 19 Improving Search Engines Performance on Multithreading Processors
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    Chapter 20 Accomplishments and Challenges in Code Development for Parallel and Multimechanics Simulations
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    Chapter 21 An Algorithm-by-Blocks for SuperMatrix Band Cholesky Factorization
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    Chapter 22 An Efficient and Robust Decentralized Algorithm for Detecting the Global Convergence in Asynchronous Iterative Algorithms
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    Chapter 23 A Parallel Implementation of the Trace Minimization Eigensolver
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    Chapter 24 A Load Balancing Knapsack Algorithm for Parallel Fuzzy c-Means Cluster Analysis
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    Chapter 25 Scalable Parallel 3d FFTs for Electronic Structure Codes
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    Chapter 26 Evaluation of Sparse LU Factorization and Triangular Solution on Multicore Platforms
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    Chapter 27 A Parallel Matrix Scaling Algorithm
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    Chapter 28 Design, Tuning and Evaluation of Parallel Multilevel ILU Preconditioners
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    Chapter 29 On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme
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    Chapter 30 Parallel Eigensolvers for a Discretized Radiative Transfer Problem
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    Chapter 31 High Performance Computing and the Progress of Weather and Climate Forecasting
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    Chapter 32 Simulation of Seismic Wave Propagation in an Asteroid Based upon an Unstructured MPI Spectral-Element Method: Blocking and Non-blocking Communication Strategies
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    Chapter 33 A Simulation of Seismic Wave Propagation at High Resolution in the Inner Core of the Earth on 2166 Processors of MareNostrum
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    Chapter 34 Using a Global Parameter for Gaussian Affinity Matrices in Spectral Clustering
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    Chapter 35 Comparing Some Methods and Preconditioners for Hydropower Plant Flow Simulations
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    Chapter 36 Computational Models of the Human Body for Medical Image Analysis
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    Chapter 37 Attaining High Performance in General-Purpose Computations on Current Graphics Processors
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    Chapter 38 Optimised Computational Functional Imaging for Arteries
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    Chapter 39 Memory Locality Exploitation Strategies for FFT on the CUDA Architecture
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    Chapter 40 Large Eddy Simulation of Combustion on Massively Parallel Machines
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    Chapter 41 Variational Multiscale LES and Hybrid RANS/LES Parallel Simulation of Complex Unsteady Flows
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    Chapter 42 Vortex Methods for Massively Parallel Computer Architectures
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    Chapter 43 On the Implementation of Boundary Element Engineering Codes on the Cell Broadband Engine
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    Chapter 44 Grid Data Management: Open Problems and New Issues from the P2P Perspective
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    Chapter 45 Data Management Concerns in a Pervasive Grid
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    Chapter 46 DTR: Distributed Transaction Routing in a Large Scale Network
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    Chapter 47 Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme
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    Chapter 48 BLAST Distributed Execution on Partitioned Databases with Primary Fragments
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    Chapter 49 Testing Architectures for Large Scale Systems
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    Chapter 50 Data Replication and the Storage Capacity of Data Grids
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    Chapter 51 Text Mining Grid Services for Multiple Environments
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    Chapter 52 Using Stemming Algorithms on a Grid Environment
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Title
High Performance Computing for Computational Science - VECPAR 2008
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-92859-1
ISBNs
978-3-54-092858-4, 978-3-54-092859-1
Editors

José M. Laginha M. Palma, Patrick R. Amestoy, Michel Daydé, Marta Mattoso, João Correia Lopes

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Student > Doctoral Student 1 4%
Unknown 25 93%
Readers by discipline Count As %
Engineering 2 7%
Unknown 25 93%