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  • © 2020

Computational Science – ICCS 2020

20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12137)

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

Conference series link(s): ICCS: International Conference on Computational Science

Conference proceedings info: ICCS 2020.

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Table of contents (52 papers)

  1. Front Matter

    Pages i-xix
  2. ICCS Main Track

    1. Front Matter

      Pages 1-1
    2. An Efficient New Static Scheduling Heuristic for Accelerated Architectures

      • Thomas McSweeney, Neil Walton, Mawussi Zounon
      Pages 3-16
    3. Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data

      • Roberto R. Expósito, Jorge Veiga, Juan Touriño
      Pages 31-44
    4. An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

      • Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines et al.
      Pages 45-58
    5. Parallel Numerical Solution of a 2D Chemotaxis-Stokes System on GPUs Technology

      • Raffaele D’Ambrosio, Stefano Di Giovacchino, Donato Pera
      Pages 59-72
    6. Automatic Management of Cloud Applications with Use of Proximal Policy Optimization

      • Włodzimierz Funika, Paweł Koperek, Jacek Kitowski
      Pages 73-87
    7. A Massively Parallel Algorithm for the Three-Dimensional Navier-Stokes-Boussinesq Simulations of the Atmospheric Phenomena

      • Maciej Paszyński, Leszek Siwik, Krzysztof Podsiadło, Peter Minev
      Pages 102-117
    8. Reconstruction of Low Energy Neutrino Events with GPUs at IceCube

      • Maicon Hieronymus, Bertil Schmidt, Sebastian Böser
      Pages 118-131
    9. Cache-Aware Matrix Polynomials

      • Dominik Huber, Martin Schreiber, Dai Yang, Martin Schulz
      Pages 132-146
    10. QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing

      • Weimin Mu, Zongze Jin, Weilin Zhu, Fan Liu, Zhenzhen Li, Ziyuan Zhu et al.
      Pages 147-160
    11. From Conditional Independence to Parallel Execution in Hierarchical Models

      • Balazs Nemeth, Tom Haber, Jori Liesenborgs, Wim Lamotte
      Pages 161-174
    12. Analysis of Checkpoint I/O Behavior

      • Betzabeth León, Pilar Gomez-Sanchez, Daniel Franco, Dolores Rexachs, Emilio Luque
      Pages 191-205
    13. Enabling EASEY Deployment of Containerized Applications for Future HPC Systems

      • Maximilian Höb, Dieter Kranzlmüller
      Pages 206-219
    14. Reproducibility of Computational Experiments on Kubernetes-Managed Container Clouds with HyperFlow

      • Michał Orzechowski, Bartosz Baliś, Renata G. Słota, Jacek Kitowski
      Pages 220-233
    15. GPU-Accelerated RDP Algorithm for Data Segmentation

      • Pau Cebrian, Juan Carlos Moure
      Pages 234-247
    16. Sparse Matrix-Based HPC Tomography

      • Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson
      Pages 248-261

About this book

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.*

The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: ICCS Main Track

Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science

Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis

Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence

Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop

Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching ComputationalScience; UNcErtainty QUantIficatiOn for ComputationAl modeLs

*The conference was canceled due to the COVID-19 pandemic.

Editors and Affiliations

  • University of Amsterdam, Amsterdam, The Netherlands

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

  • University of Tennessee, Knoxville, USA

    Jack J. Dongarra

  • Intellegibilis, Setúbal, Portugal

    Sérgio Brissos, João Teixeira

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access