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Adaptive computing architectures for real-time applications

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dc.contributor.author ABABII, Constantin
dc.contributor.author MUNTEANU, Silvia
dc.contributor.author MELNIC, Radu
dc.contributor.author OSOVSCHI, Mariana
dc.contributor.author BORDIAN, Dimitri
dc.date.accessioned 2019-11-01T10:49:03Z
dc.date.available 2019-11-01T10:49:03Z
dc.date.issued 2019
dc.identifier.citation ABABII, Constantin, MUNTEANU, Silvia, MELNIC, Radu, OSOVSCHI, Mariana, BORDIAN, Dimitri. Adaptive computing architectures for real-time applications. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 101. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5833
dc.description Abstract
dc.description.abstract Computing systems, which are based only on the technological concept, have already entered in a development deadlock. An alternative development direction of the computing systems is offered by the adaptive computing architectures application, which are able to self-adaptive, for solving each problem separately, implying for it an optimal configuration of Hardware devices and Software applications as price and time. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject adaptive computing en_US
dc.subject self-adaptive architectures en_US
dc.subject real-time applications en_US
dc.subject embedded systems en_US
dc.subject IoT en_US
dc.subject cloud computing en_US
dc.subject concurrent data processing en_US
dc.title Adaptive computing architectures for real-time applications en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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