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  • Performance and Power Optimization (Michael Kuhn, Konstantinos Chasapis, Manuela Kuhn, Janusz Malka, Thomas Stibor, Gvozden Nešković), In Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA) (Christopher Jung, Jörg Meyer, Achim Streit), pp. 141–160, KIT Scientific Publishing (Karlsruhe, Germany), ISBN: 978-3-7315-0695-9, 2017
    Publication detailsURLDOI

Abstract

The Helmholtz Association funded the “Large-Scale Data Management and Analysis” portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.

BibTeX

@inbook{PAPOKCKMSN17,
	author	 = {Michael Kuhn and Konstantinos Chasapis and Manuela Kuhn and Janusz Malka and Thomas Stibor and Gvozden Nešković},
	title	 = {{Performance and Power Optimization}},
	year	 = {2017},
	booktitle	 = {{Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)}},
	publisher	 = {KIT Scientific Publishing},
	address	 = {Karlsruhe, Germany},
	pages	 = {141--160},
	isbn	 = {978-3-7315-0695-9},
	doi	 = {https://doi.org/10.5445/KSP/1000071931},
	abstract	 = {The Helmholtz Association funded the "Large-Scale Data Management and Analysis" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R\&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.},
	url	 = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000071931},
}

publication.txt · Last modified: 2019-01-23 10:26 by 127.0.0.1

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