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Toward the Convergence of High-Performance Computing, Cloud, and Big Data Domains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250559" target="_blank" >RIV/61989100:27740/22:10250559 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-1/toward-convergence-high-performance-computing-cloud-big-data-domains-martin-golasowski-jan-martinovi%C4%8D-marc-levrier-stephan-hachinger-sophia-karagiorgou-aikaterini-papapostolou-spiros-mouzakitis-ioannis-tsapelas-monica-caballero-marco-aldinucci-jon-ander-g%C3%B3mez-antony-chazapis-jean-thomas-acquaviva" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-1/toward-convergence-high-performance-computing-cloud-big-data-domains-martin-golasowski-jan-martinovi%C4%8D-marc-levrier-stephan-hachinger-sophia-karagiorgou-aikaterini-papapostolou-spiros-mouzakitis-ioannis-tsapelas-monica-caballero-marco-aldinucci-jon-ander-g%C3%B3mez-antony-chazapis-jean-thomas-acquaviva</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1201/9781003176664-1" target="_blank" >10.1201/9781003176664-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Toward the Convergence of High-Performance Computing, Cloud, and Big Data Domains

  • Original language description

    Convergence between big data, high-performance computing, and the cloud is the key driving factor for sustainable economic growth in the future. Technological advances in many fields are determined by competence to gain precise information from the large amounts of data collected, which in turn requires powerful computing resources. This chapter provides an overview on the evolution of the three fields and four different points of view on their convergence provided by the CYBELE, DeepHealth, Evolve, and LEXIS projects funded by the European Union under the Horizon 2020 Programme. (C) 2022 selection and editorial matter, Olivier Terzo and Jan Martinovic; individual chapters, the contributors.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision

  • ISBN

    978-1-03-200984-1

  • Number of pages of the result

    16

  • Pages from-to

    1-16

  • Number of pages of the book

    322

  • Publisher name

    CRC Press

  • Place of publication

    Boca Raton

  • UT code for WoS chapter