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High-Performance Modelling and Simulation for Big Data Applications

Selected Results of the COST Action IC1406 cHiPSet

Editors: Kolodziej, Joanna, Gonzalez-Velez, Horacio (Eds.)

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  • Open Access
  • Final compendium of case studies from the COST Action IC1406
  • Reference for the fields of HPC, Big Data, and Modelling & Simulation
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  • ISBN 978-3-030-16272-6
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-16271-9
  • Free shipping for individuals worldwide
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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.

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Why High-Performance Modelling and Simulation for Big Data Applications Matters

    Grelck, Clemens (et al.)

    Pages 1-35

  • Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems

    Larsson, Elisabeth (et al.)

    Pages 36-68

  • Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches

    Rached, Imen (et al.)

    Pages 69-87

  • Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges

    Kilanioti, Irene (et al.)

    Pages 88-137

  • Big Data in 5G Distributed Applications

    Nejkovic, Valentina (et al.)

    Pages 138-162

Buy this book

eBook  
  • ISBN 978-3-030-16272-6
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-16271-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
High-Performance Modelling and Simulation for Big Data Applications
Book Subtitle
Selected Results of the COST Action IC1406 cHiPSet
Editors
  • Joanna Kolodziej
  • Horacio Gonzalez-Velez
Series Title
Theoretical Computer Science and General Issues
Series Volume
11400
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-030-16272-6
DOI
10.1007/978-3-030-16272-6
Softcover ISBN
978-3-030-16271-9
Edition Number
1
Number of Pages
XIV, 352
Number of Illustrations
8 b/w illustrations, 55 illustrations in colour
Topics