High Performance Computing for Computational Science - VECPAR 2008: 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers

Front Cover
José M. Laginha M. Palma, Patrick Amestoy, Michel Daydé, Marta Mattoso, Joao Correira Lopes
Springer Science & Business Media, Dec 18, 2008 - Computers - 596 pages
VECPAR is an international conference series dedicated to the promotion and advancement of all aspects of high-performance computing for computational science, as an industrial technique and academic discipline, extending the fr- tier of both the state of the art and the state of practice. The audience and participants of VECPAR are researchers in academic departments, government laboratories and industrial organizations. There is now a permanent website for the conference series inhttp://vecpar.fe.up.pt where the history of the conference is described. The8theditionofVECPARwasorganizedinToulouse(France),June24–27, 2008. It was the third time the conference was celebrated outside Porto after Valencia (Spain) in2004andRio deJaneiro(Brazil)in 2006. Theconferenceprogrammeconsistedof6invitedtalksand53acceptedpapers out of 73 contributions that were initially submitted. The major themes are divided into: – Large-ScaleSimulationsandNumericalAlgorithmsinComputerScienceand Engineering (aerospace, earth, environment, ?nance, geoscience) – Computing in Healthcare and Biosciences – Multiscale and Multiphysics Problems – Cluster Computing and Grid Computing – Data-Centric and High-Productivity Computing – Cooperative Engineering – Problem-Solving Environments – Imaging and Graphics Twoworkshops,inadditiontotutorials,wereorganizedbeforetheconference: HPDGrid 2008—InternationalWorkshoponHigh-PerformanceDataMana- ment in Grid Environments on June 24 and Sparse Days at CERFACS on June 23 and 24. The most signi?cant contributions are made available in the present book, edited after the conference and after a second review of all orally presented papers at VECPAR 2008 and at the workshops.
 

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Contents

An Overview of High Performance Computing and Challenges for the Future
1
Parallelization of SphereDecoding Methods
2
Solver Using Optimized Libraries and Parallel Computation
13
Parallelisation of the CFD Code of a CFDNWP Coupled System for the Simulation of Atmospheric Flows over Complex Terrain
27
Parallelization of the Hamiltonian MatrixVector Multiplication
39
Application to Linear Solvers
46
The Rise of the Commodity Vectors
53
MOPS A Morphodynamical Prediction System on Cluster Computers
63
Design Tuning and Evaluation of Parallel Multilevel ILU Preconditioners
314
On the IO Volume in OutofCore Multifrontal Methods with a Flexible Allocation Scheme
328
Parallel Eigensolvers for a Discretized Radiative Transfer Problem
336
High Performance Computing and the Progress of Weather and Climate Forecasting
349
Asteroid Based upon an Unstructured MPI SpectralElement Method Blocking and Nonblocking Communication Strategies
350
A Simulation of Seismic Wave Propagation at High Resolution in the Inner Core of the Earth on 2166 Processors of MareNostrum
364
Using a Global Parameter for Gaussian Affinity Matrices in Spectral Clustering
378
Comparing Some Methods and Preconditioners for Hydropower Plant Flow Simulations
391

Implementing a Parallel NetCDF Interface for Seamless Remote IO Using Multidimensional Data
69
Vectorized AES Core for Highthroughput Secure Environments
83
A Matrix Inversion Method with YMLOmniRPC on a Large Scale Platform
95
Can We Connect Existing Production Grids into a World Wide Grid?
109
A List Scheduling Algorithm for Scheduling Multiuser Jobs on Clusters
123
Data Locality Aware Strategy for TwoPhase Collective IO
137
A GridAware Web Portal with Advanced Service Trading for Linear Algebra Calculations
150
Resource Matching in Nondedicated Multicluster Environments
160
A Parallel Incremental Learning Algorithm for Neural Networks with Fault Tolerance
174
HighPerformance Query Processing of a RealWorld OLAP Database with ParGRES
188
Improving Search Engines Performance on Multithreading Processors
201
Accomplishments and Challenges in Code Development for Parallel and Multimechanics Simulations
214
An AlgorithmbyBlocks for SuperMatrix Band Cholesky Factorization
228
for Detecting the Global Convergence in Asynchronous Iterative Algorithms
240
A Parallel Implementation of the Trace Minimization Eigensolver
255
A Load Balancing Knapsack Algorithm for Parallel Fuzzy cMeans Cluster Analysis
269
Scalable Parallel 3d FFTs for Electronic Structure Codes
280
Evaluation of Sparse LU Factorization and Triangular Solution on Multicore Platforms
287
A Parallel Matrix Scaling Algorithm
301
Computational Models of the Human Body for Medical Image Analysis
405
Attaining High Performance in GeneralPurpose Computations on Current Graphics Processors
406
Optimised Computational Functional Imaging for Arteries
420
Memory Locality Exploitation Strategies for FFT on the CUDA Architecture
430
Large Eddy Simulation of Combustion on Massively Parallel Machines
444
Variational Multiscale LES and Hybrid RANSLES Parallel Simulation of Complex Unsteady Flows
465
Vortex Methods for Massively Parallel Computer Architectures
479
On the Implementation of Boundary Element Engineering Codes on the Cell Broadband Engine
490
Open Problems and New Issues from the P2P Perspective
505
Data Management Concerns in a Pervasive Grid
506
Distributed Transaction Routing in a Large Scale Network
521
An Efficient FineGrain Data Access Scheme
532
BLAST Distributed Execution on Partitioned Databases with Primary Fragments
544
Testing Architectures for Large Scale Systems
555
Data Replication and the Storage Capacity of Data Grids
567
Text Mining Grid Services for Multiple Environments
576
Using Stemming Algorithms on a Grid Environment
588
Author Index
594
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