High Performance Computing for Computational Science - VECPAR 2004

1. Front Matter

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2. Chapter 1: Large Scale Computations

   1. Large Scale Simulations

      • Sato Tetsuya

      Pages 1-9

   2. Development and Integration of Parallel Multidisciplinary Computational Software for Modeling a Modern Manufacturing Process

      • Brian J. Henz, Dale R. Shires, Ram V. Mohan

      Pages 10-22

   3. Automatically Tuned FFTs for BlueGene/L’s Double FPU

      • Franz Franchetti, Stefan Kral, Juergen Lorenz, Markus Püschel, Christoph W. Ueberhuber

      Pages 23-36

   4. A Survey of High-Quality Computational Libraries and Their Impact in Science and Engineering Applications

      • L. A. Drummond, V. Hernandez, O. Marques, J. E. Roman, V. Vidal

      Pages 37-50

   5. A Performance Evaluation of the Cray X1 for Scientific Applications

      • Leonid Oliker, Rupak Biswas, Julian Borrill, Andrew Canning, Jonathan Carter, M. Jahed Djomehri et al.

      Pages 51-65

   6. Modelling Overhead of Tuple Spaces with Design of Experiments

      • Frederic Hancke, Tom Dhaene, Jan Broeckhove

      Pages 66-77

   7. Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method

      • E. M. Garzón, S. Tabik, A. R. Bretones, I. García

      Pages 78-89

   8. A Performance Prediction Model for Tomographic Reconstruction in Structural Biology

      • Paula Cecilia Fritzsche, José-Jesús Fernández, Ana Ripoll, Inmaculada García, Emilio Luque

      Pages 90-103

3. Chapter 2: Data Management and Data Mining

   1. Data Management in Large-Scale P2P Systems

      • Patrick Valduriez, Esther Pacitti

      Pages 104-118

   2. A High Performance System for Processing Queries on Distributed Geospatial Data Sets

      • Mahdi Abdelguerfi, Venkata Mahadevan, Nicolas Challier, Maik Flanagin, Kevin Shaw, Jay Ratcliff

      Pages 119-128

   3. Parallel Implementation of Information Retrieval Clustering Models

      • Daniel Jiménez, Vicente Vidal

      Pages 129-141

   4. Distributed Processing of Large BioMedical 3D Images

      • Konstantinos Liakos, Albert Burger, Richard Baldock

      Pages 142-155

   5. Developing Distributed Data Mining Applications in the Knowledge Grid Framework

      • Giuseppe Bueti, Antonio Congiusta, Domenico Talia

      Pages 156-169

   6. Scaling Up the Preventive Replication of Autonomous Databases in Cluster Systems

      • Cédric Coulon, Esther Pacitti, Patrick Valduriez

      Pages 170-183

   7. Parallel Implementation of a Fuzzy Rule Based Classifier

      • Alexandre G. Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken

      Pages 184-193

4. Chapter 3: Grid Computing Infrastructure

   1. The EGEE European Grid Infrastructure Project

      • Fabrizio Gagliardi

      Pages 194-203

   2. Grid Technology for Biomedical Applications

      • Vincent Breton, Christophe Blanchet, Yannick Legré, Lydia Maigne, Johan Montagnat

      Pages 204-218

   3. Three-Dimensional Cardiac Electrical Activity Simulation on Cluster and Grid Platforms

      • J. M. Alonso, J. M. Ferrero, V. Hernández, G. Moltó, M. Monserrat, J. Saiz

      Pages 219-232

   4. 2DRMP-G: Migrating a Large-Scale Numerical Mathematical Application to a Grid Environment

      • T. Harmer, N. S. Scott, V. Faro-Maza, M. P. Scott, P. G. Burke, A. Carson et al.

      Pages 233-246

VECPAR is a series of international conferences 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 for and participants in VECPAR are seen as researchers in academic departments, g- ernment laboratories and industrial organizations. There is now a permanent website for the series, http://vecpar.fe.up.pt, where the history of the conf- ences is described. ThesixtheditionofVECPARwasthe?rsttimetheconferencewascelebrated outside Porto – at the Universitad Politecnica de Valencia (Spain), June 28–30, 2004. The whole conference programme consisted of 6 invited talks, 61 papers and26posters,outof130contributionsthatwereinitiallysubmitted.Themajor themes were divided into large-scale numerical and non-numerical simulations, parallel and grid computing, biosciences, numerical algorithms, data mining and visualization. This postconference book includes the best 48 papers and 5 invited talks presented during the three days of the conference. The book is organized into 6 chapters, with a prominent position reserved for the invited talks and the Best Student Paper. As a whole it appeals to a wide research community, from those involved in the engineering applications to those interested in the actual details of the hardware or software implementations, in line with what, in these days, tends to be considered as computational science and engineering (CSE).

• Cluster
• RAID
• Resolution
• algorithms
• automata
• cluster computing
• computational mathematics
• computational science
• distributed systems
• grid computing
• high-performance computing
• image processing
• large-scale computations
• modeling
• scientific computing

• INP (ENSEEIHT); IRIT, University of Toulouse, Toulouse CEDEX 7, France

  Michel Daydé

• Computer Science Department, University of Tennessee, Knoxville, USA

  Jack Dongarra

• EUIT Telecomunicación - DIATEL, Universidad Politécnica de Madrid, Madrid, Spain

  Vicente Hernández

• Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

  José M. L. M. Palma

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