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    High-Performance Modelling and Simulation for Big Data Applications

    Selected Results of the COST Action IC1406 cHiPSet

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    Contributor(s)
    Kołodziej, Joanna (editor)
    González-Vélez, Horacio (editor)
    Language
    English
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    Abstract
    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.
    URI
    http://library.oapen.org/handle/20.500.12657/23334
    Keywords
    Computer science; Computer system failures; Computer communication systems; Microprocessors; Application software; Logic design; Operating systems (Computers)
    DOI
    10.1007/978-3-030-16272-6
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2019
    Series
    Lecture Notes in Computer Science,
    Classification
    Network hardware
    Operating systems
    Information retrieval
    Systems analysis & design
    Computer architecture & logic design
    Pages
    352
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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