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  • © 2019

High-Performance Modelling and Simulation for Big Data Applications

Selected Results of the COST Action IC1406 cHiPSet

  • Final compendium of case studies from the COST Action IC1406

  • Reference for the fields of HPC, Big Data, and Modelling & Simulation

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11400)

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

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
  2. Why High-Performance Modelling and Simulation for Big Data Applications Matters

    • Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson
    Pages 1-35Open Access
  3. Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems

    • Elisabeth Larsson, Afshin Zafari, Marco Righero, M. Alessandro Francavilla, Giorgio Giordanengo, Francesca Vipiana et al.
    Pages 36-68Open Access
  4. Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches

    • Imen Rached, Elisabeth Larsson
    Pages 69-87Open Access
  5. Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges

    • Irene Kilanioti, Alejandro Fernández-Montes, Damián Fernández-Cerero, Anthony Karageorgos, Christos Mettouris, Valentina Nejkovic et al.
    Pages 88-137Open Access
  6. Big Data in 5G Distributed Applications

    • Valentina Nejkovic, Ari Visa, Milorad Tosic, Nenad Petrovic, Mikko Valkama, Mike Koivisto et al.
    Pages 138-162Open Access
  7. Big Data Processing, Analysis and Applications in Mobile Cellular Networks

    • Sanja Brdar, Olivera Novović, Nastasija Grujić, Horacio González–Vélez, Ciprian-Octavian Truică, Siegfried Benkner et al.
    Pages 163-185Open Access
  8. Medical Data Processing and Analysis for Remote Health and Activities Monitoring

    • Salvatore Vitabile, Michal Marks, Dragan Stojanovic, Sabri Pllana, Jose M. Molina, Mateusz Krzyszton et al.
    Pages 186-220Open Access
  9. Towards Human Cell Simulation

    • Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri et al.
    Pages 221-249Open Access
  10. Cloud-Based High Throughput Virtual Screening in Novel Drug Discovery

    • Abdurrahman Olğaç, Aslı Türe, Simla Olğaç, Steffen Möller
    Pages 250-278Open Access
  11. Ultra Wide Band Body Area Networks: Design and Integration with Computational Clouds

    • Joanna Kołodziej, Daniel Grzonka, Adrian Widłak, Paweł Kisielewicz
    Pages 279-306Open Access
  12. Survey on AI-Based Multimodal Methods for Emotion Detection

    • Catherine Marechal, Dariusz Mikołajewski, Krzysztof Tyburek, Piotr Prokopowicz, Lamine Bougueroua, Corinne Ancourt et al.
    Pages 307-324Open Access
  13. Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era

    • Aleš Zamuda, Vincenzo Crescimanna, Juan C. Burguillo, Joana Matos Dias, Katarzyna Wegrzyn-Wolska, Imen Rached et al.
    Pages 325-349Open Access
  14. Back Matter

    Pages 351-352

About this book

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project.

Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources.

On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains.

It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities.

This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Editors and Affiliations

  • Cracow University of Technology, Cracow, Poland

    Joanna Kołodziej

  • National College of Ireland, Dublin, Ireland

    Horacio González-Vélez

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 59.99
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