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.
@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}, }