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Computational Science – ICCS 2009

9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part I

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Gabrielle Allen

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

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  2. Jaroslaw Nabrzyski

    1. Poznan Supercomputing and Networking Center, Poznan, Poland

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  3. Edward Seidel

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

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  4. Geert Dick Albada

    1. Department of Mathematics and Computer Science, University of Amsterdam, Amsterdam, The Netherlands

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  5. Jack Dongarra

    1. Computer Science Department, Knoxville, University of Tennessee, USA

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  6. Peter M. A. Sloot

    1. Faculty of Sciences, Section of Computational Science, University of Amsterdam, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5544)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICCS 2009.

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About this book

“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.

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Table of contents (102 papers)

  1. Front Matter

    Pages I-XXXVII
    Download chapter PDF

  2. e-Science Applications and Systems

    1. Front Matter

      Pages 1-1
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    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
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    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
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Editors and Affiliations

  • 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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