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pro vyhledávání: '"Aida Palacio Hoz"'
Data analysis in climate science has been traditionally performed in two different environments, local workstations and HPC infrastructures. Local workstations provide a non scalable environment in which data analysis is restricted to small datasets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307ecff608680b02dfde0bbab503b6c1
https://doi.org/10.5194/egusphere-egu2020-19280
https://doi.org/10.5194/egusphere-egu2020-19280
Autor:
Cristina Duma, Luciano Gaido, T. Boccali, Álvaro López García, Diego Ciangottini, Mirco Tracolli, Aida Palacio Hoz, Marica Antonacci, Daniele Spiga, Andrea Ceccanti, Davide Salomoni, Giacinto Donvito, Riccardo Di Maria
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
EPJ Web of Conferences, Vol 214, p 07027 (2019)
EPJ Web of Conferences
instname
EPJ Web of Conferences, Vol 214, p 07027 (2019)
EPJ Web of Conferences
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018).
Minimising time and cost is key to exploit private or commercial clouds. This can be achieved by increasing setup and operational efficiencies. The succes
Minimising time and cost is key to exploit private or commercial clouds. This can be achieved by increasing setup and operational efficiencies. The succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c54ed2bb906e8e75a948723452caf77
http://cds.cern.ch/record/2650034
http://cds.cern.ch/record/2650034