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High-Performance Modelling and Simulation for Big Data Applications
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  • Title High-Performance Modelling and Simulation for Big Data Applications
  • Author(s) Joanna Kolodziej, Horacio Gonzalez-Vele
  • Publisher: Springer; 1st ed. 2019 edition (March 26, 2019)
  • License(s): CC BY 4.0
  • Paperback: 366 pages
  • eBook PDF (187 pages, 4.0 MB)
  • Language: English
  • ISBN-10/ASIN: 3030162710
  • ISBN-13: 978-3030162719
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Book Description

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

About the Authors
  • As Associate Professor and Founding Head of The Cloud Competency Centre at the National College of Ireland in Dublin, Horacio Gonzalez-Velez directs the NCI's cloud and data analytics infrastructure, postgraduate programmes, and research.
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