Computational Science – ICCS 2009

1. Front Matter

   Pages I-XXXVII

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2. e-Science Applications and Systems

   1. Front Matter

      Pages 1-1

      PDF

   2. Electronic Structure Calculations and Adaptation Scheme in Multi-core Computing Environments

      • Lakshminarasimhan Seshagiri, Masha Sosonkina, Zhao Zhang

      Pages 3-12

   3. A Fuzzy Logic Fish School Model

      • Juan Carlos González, Christianne Dalforno, Remo Suppi, Emilio Luque

      Pages 13-22

   4. An Open Domain-Extensible Environment for Simulation-Based Scientific Investigation (ODESSI)

      • Adnan M. Salman, Allen D. Malony, Matthew J. Sottile

      Pages 23-32

   5. Pattern-Based Genetic Algorithm Approach to Coverage Path Planning for Mobile Robots

      • Muzaffer Kapanoglu, Metin Ozkan, Ahmet Yazıcı, Osman Parlaktuna

      Pages 33-42

   6. Economic Models with Chaotic Money Exchange

      • Carmen Pellicer-Lostao, Ricardo López-Ruiz

      Pages 43-52

   7. Knowledge Aware Bisimulation and Anonymity

      • Han Zhu, Yonggen Gu, Xiaojuan Cai

      Pages 53-62

   8. A Parallel High-Order Discontinuous Galerkin Shallow Water Model

      • Claes Eskilsson, Yaakoub El-Khamra, David Rideout, Gabrielle Allen, Q. Jim Chen, Mayank Tyagi

      Pages 63-72

   9. CelOWS: A Service Oriented Architecture to Define, Query and Reuse Biological Models

      • Ely Edison Matos, Fernanda Campos, Regina Braga, Rodrigo Weber, Daniele Palazzi

      Pages 73-83

   10. Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations

       • Nikhil Laghave, Masha Sosonkina, Pieter Maris, James P. Vary

       Pages 84-93

   11. A Population-Based Approach for Diversified Protein Loop Structure Sampling

       • Yaohang Li

       Pages 94-103

   12. Parameter Space Exploration Using Scientific Workflows

       • David Abramson, Blair Bethwaite, Colin Enticott, Slavisa Garic, Tom Peachey

       Pages 104-113

   13. Interactive Parallel Analysis on the ALICE Grid with the PROOF Framework

       • Marco Meoni

       Pages 114-122

   14. A Comparison of Performance of Sequential Learning Algorithms on the Task of Named Entity Recognition for Indian Languages

       • Awaghad Ashish Krishnarao, Himanshu Gahlot, Amit Srinet, D. S. Kushwaha

       Pages 123-132

   15. Managing Multi-concern Application Complexity in AspectSBASCO

       • Manuel Díaz, Sergio Romero, Bartolomé Rubio, Enrique Soler, José M. Troya

       Pages 133-142

   16. Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization

       • James Atlas, Trilce Estrada, Keith Decker, Michela Taufer

       Pages 143-152

3. Scheduling and Load Balancing

   1. Front Matter

      Pages 153-153

      PDF

   2. Hiding Communication Latency with Non-SPMD, Graph-Based Execution

      • Jacob Sorensen, Scott B. Baden

      Pages 155-164

   3. New Optimal Load Allocation for Scheduling Divisible Data Grid Applications

      • M. Othman, M. Abdullah, H. Ibrahim, S. Subramaniam

      Pages 165-174

“There is something fascinating about science. One gets such wholesale returns of conjecture out of such a tri?ing investment of fact. ” Mark Twain, Life on the Mississippi The challenges in succeeding with computational science are numerous and deeply a?ect all disciplines. NSF’s 2006 Blue Ribbon Panel of Simulation-Based 1 Engineering Science (SBES) states ‘researchers and educators [agree]: com- tational and simulation engineering sciences are fundamental to the security and welfare of the United States. . . We must overcome di?culties inherent in multiscale modeling, the development of next-generation algorithms, and the design. . . of dynamic data-driven application systems. . . We must determine better ways to integrate data-intensive computing, visualization, and simulation. - portantly,wemustoverhauloureducationalsystemtofostertheinterdisciplinary study. . . The payo?sformeeting these challengesareprofound. ’The International Conference on Computational Science 2009 (ICCS 2009)explored how com- tational sciences are not only advancing the traditional hard science disciplines, but also stretching beyond, with applications in the arts, humanities, media and all aspects of research. This interdisciplinary conference drew academic and industry leaders from a variety of ?elds, including physics, astronomy, mat- matics,music,digitalmedia,biologyandengineering. Theconferencealsohosted computer and computational scientists who are designing and building the - ber infrastructure necessary for next-generation computing. Discussions focused on innovative ways to collaborate and how computational science is changing the future of research. ICCS 2009: ‘Compute. Discover. Innovate. ’ was hosted by the Center for Computation and Technology at Louisiana State University in Baton Rouge.

• CSS
• Hardware
• Intercultural Communicative Competence
• Processing
• computer
• computer network
• image processing
• numerical methods
• optimization
• simulation

• Center for Computation & Technology, Louisiana State University, Baton Rouge, USA

  Gabrielle Allen

• Poznan Supercomputing and Networking Center, Poznan, Poland

  Jaroslaw Nabrzyski

• Center for Computation and Technology, Louisiana State University, Baton Rouge, USA

  Edward Seidel

• Department of Mathematics and Computer Science, University of Amsterdam, Amsterdam, The Netherlands

  Geert Dick Albada

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

  Jack Dongarra

• Faculty of Sciences, Section of Computational Science, University of Amsterdam, Amsterdam, The Netherlands

  Peter M. A. Sloot

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