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Computational Science – ICCS 2019

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. João M. F. Rodrigues

    1. University of Algarve, Faro, Portugal

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  2. Pedro J. S. Cardoso

    1. University of Algarve, Faro, Portugal

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  3. Jânio Monteiro

    1. University of Algarve, Faro, Portugal

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  4. Roberto Lam

    1. University of Algarve, Faro, Portugal

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  5. Valeria V. Krzhizhanovskaya

    1. University of Amsterdam, Amsterdam, The Netherlands

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  6. Michael H. Lees

    1. University of Amsterdam, Amsterdam, The Netherlands

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  7. Jack J. Dongarra

    1. University of Tennessee at Knoxville, Knoxville, USA

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  8. Peter M.A. Sloot

    1. University of Amsterdam, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11536)

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

Included in the following conference series:

Conference proceedings info: ICCS 2019.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. ICCS Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Efficient Computation of Sparse Higher Derivative Tensors

      • Jens Deussen, Uwe Naumann
      Pages 3-17

    3. Rational Approximation of Scientific Data

      • Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian Grindeanu
      Pages 18-31

    4. Design of a High-Performance Tensor-Vector Multiplication with BLAS

      • Cem Bassoy
      Pages 32-45

    5. High Performance Partial Coherent X-Ray Ptychography

      • Pablo Enfedaque, Huibin Chang, Bjoern Enders, David Shapiro, Stefano Marchesini
      Pages 46-59

    6. Monte Carlo Analysis of Local Cross–Correlation ST–TBD Algorithm

      • Przemyslaw Mazurek, Robert Krupinski
      Pages 60-70

    7. Optimization of Demodulation for Air–Gap Data Transmission Based on Backlight Modulation of Screen

      • Dawid Bak, Przemyslaw Mazurek, Dorota Oszutowska–Mazurek
      Pages 71-80

    8. Reinsertion Algorithm Based on Destroy and Repair Operators for Dynamic Dial a Ride Problems

      • Sven Vallée, Ammar Oulamara, Wahiba Ramdane Cherif-Khettaf
      Pages 81-95

    9. Optimization Heuristics for Computing the Voronoi Skeleton

      • Dmytro Kotsur, Vasyl Tereshchenko
      Pages 96-111

    10. Transfer Learning for Leisure Centre Energy Consumption Prediction

      • Paul Banda, Muhammed A. Bhuiyan, Kevin Zhang, Andy Song
      Pages 112-123

    11. Forecasting Network Throughput of Remote Data Access in Computing Grids

      • Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta
      Pages 124-137

    12. Accurately Simulating Energy Consumption of I/O-Intensive Scientific Workflows

      • Rafael Ferreira da Silva, Anne-Cécile Orgerie, Henri Casanova, Ryan Tanaka, Ewa Deelman, Frédéric Suter
      Pages 138-152

    13. Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications

      • Cong Xie, Wonyong Jeong, Gyorgy Matyasfalvi, Hubertus Van Dam, Klaus Mueller, Shinjae Yoo et al.
      Pages 153-167

    14. Analysis of the Construction of Similarity Matrices on Multi-core and Many-Core Platforms Using Different Similarity Metrics

      • Uxía Casal, Jorge González-Domínguez, María J. Martín
      Pages 168-181

    15. High Performance Algorithms for Counting Collisions and Pairwise Interactions

      • Matheus Henrique Junqueira Saldanha, Paulo Sérgio Lopes de Souza
      Pages 182-196

    16. Comparing Domain Decomposition Methods for the Parallelization of Distributed Land Surface Models

      • Alexander von Ramm, Jens Weismüller, Wolfgang Kurtz, Tobias Neckel
      Pages 197-210

    17. Analysis and Detection on Abused Wildcard Domain Names Based on DNS Logs

      • Guangxi Yu, Yan Zhang, Huajun Cui, Xinghua Yang, Yang Li, Huiran Yang
      Pages 211-225

    18. XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code

      • Weijian Zheng, Dali Wang, Fengguang Song
      Pages 226-237

    19. An On-Line Performance Introspection Framework for Task-Based Runtime Systems

      • Xavier Aguilar, Herbert Jordan, Thomas Heller, Alexander Hirsch, Thomas Fahringer, Erwin Laure
      Pages 238-252
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Other volumes

  1. Computational Science – ICCS 2019

  2. Computational Science – ICCS 2019

  3. Computational Science – ICCS 2019

  4. Computational Science – ICCS 2019

  5. Computational Science – ICCS 2019

Keywords

About this book

The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019.

The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems

Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems

Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation

Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019

Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Editors and Affiliations

  • University of Algarve, Faro, Portugal

    João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio Monteiro, Roberto Lam

  • University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

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