High Performance Computing for Computational Science - VECPAR 2008: 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers: 5336 - Brossura

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ISBN 10: 3540928588 ISBN 13: 9783540928584

Casa editrice: Springer Berlin Heidelberg, 2010

Riassunto

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.

Su questo libro

Contenuti

Parallel and Distributed Computing.- An Overview of High Performance Computing and Challenges for the Future.- Parallelization of Sphere-Decoding Methods.- Improving the Performance of a Verified Linear System Solver Using Optimized Libraries and Parallel Computation.- Parallelisation of the CFD Code of a CFD-NWP Coupled System for the Simulation of Atmospheric Flows over Complex Terrain.- High Performance Computing for Eigenvalue Solver in Density-Matrix Renormalization Group Method: Parallelization of the Hamiltonian Matrix-Vector Multiplication.- Tunable Parallel Experiments in a GridRPC Framework: Application to Linear Solvers.- Cluster and Grid Computing.- The Rise of the Commodity Vectors.- MOPS – A Morphodynamical Prediction System on Cluster Computers.- Implementing a Parallel NetCDF Interface for Seamless Remote I/O Using Multi-dimensional Data.- Vectorized AES Core for High-throughput Secure Environments.- A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform.- Can We Connect Existing Production Grids into a World Wide Grid?.- A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clusters.- Data Locality Aware Strategy for Two-Phase Collective I/O.- Problem Solving Environment and Data Centric.- A Grid-Aware Web Portal with Advanced Service Trading for Linear Algebra Calculations.- Resource Matching in Non-dedicated Multicluster Environments.- A Parallel Incremental Learning Algorithm for Neural Networks with Fault Tolerance.- High-Performance Query Processing of a Real-World OLAP Database with ParGRES.- Improving Search Engines Performance on Multithreading Processors.- Numerical Methods.- Accomplishments and Challenges in Code Development for Parallel and Multimechanics Simulations.- An Algorithm-by-Blocks for SuperMatrix Band Cholesky Factorization.- An Efficient and Robust Decentralized Algorithm for Detecting the Global Convergence in Asynchronous Iterative Algorithms.- A Parallel Implementation of the Trace Minimization Eigensolver.- A Load Balancing Knapsack Algorithm for Parallel Fuzzy c-Means Cluster Analysis.- Scalable Parallel 3d FFTs for Electronic Structure Codes.- Linear Algebra.- Evaluation of Sparse LU Factorization and Triangular Solution on Multicore Platforms.- A Parallel Matrix Scaling Algorithm.- Design, Tuning and Evaluation of Parallel Multilevel ILU Preconditioners.- On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme.- Parallel Eigensolvers for a Discretized Radiative Transfer Problem.- Computing in Geosciences and Biosciences.- High Performance Computing and the Progress of Weather and Climate Forecasting.- Simulation of Seismic Wave Propagation in an Asteroid Based upon an Unstructured MPI Spectral-Element Method: Blocking and Non-blocking Communication Strategies.- A Simulation of Seismic Wave Propagation at High Resolution in the Inner Core of the Earth on 2166 Processors of MareNostrum.- Using a Global Parameter for Gaussian Affinity Matrices in Spectral Clustering.- Comparing Some Methods and Preconditioners for Hydropower Plant Flow Simulations.- Imaging and Graphics.- Computational Models of the Human Body for Medical Image Analysis.- Attaining High Performance in General-Purpose Computations on Current Graphics Processors.- Optimised Computational Functional Imaging for Arteries.- Memory Locality Exploitation Strategies for FFT on the CUDA Architecture.- Computing for Aerospace and Engineering.- Large Eddy Simulation of Combustion on Massively Parallel Machines.- Variational Multiscale LES and Hybrid RANS/LES Parallel Simulation of Complex Unsteady Flows.- Vortex Methods for Massively Parallel Computer Architectures.- On the Implementation of Boundary Element Engineering Codes on the Cell Broadband Engine.- High-Performance Data Management in Grid Environments.- Grid Data Management: Open Problems and New Issues from the P2P Perspective.- Data Management Concerns in a Pervasive Grid.- DTR: Distributed Transaction Routing in a Large Scale Network.- Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme.- BLAST Distributed Execution on Partitioned Databases with Primary Fragments.- Testing Architectures for Large Scale Systems.- Data Replication and the Storage Capacity of Data Grids.- Text Mining Grid Services for Multiple Environments.- Using Stemming Algorithms on a Grid Environment.

Dalla quarta di copertina

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008.

The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments.

Dettagli dell?edizione

• Editore: Springer Berlin Heidelberg
• Data di pubblicazione: 2010
• ISBN 10: 3540928588
• ISBN 13: 9783540928584
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 616
• Redattore: Palma José M. Laginha M.