Record link: 
http://hdl.handle.net/20.500.12708/154281
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Title: 
Presenting the jupyterhub at Vienna Scientific Cluster via one example from machine learning and one from material science
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Citation: 
Steiner, S. (2021, June 1). Presenting the jupyterhub at Vienna Scientific Cluster via one example from machine learning and one from material science [Presentation]. Austrian-Slovenian HPC Meeting 2021 (ASHPC21), online, Unknown. http://hdl.handle.net/20.500.12708/154281
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Publication Type: 
Presentation - Presentation
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Language: 
English
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Authors: 
Steiner, Soner 
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Organisational Unit: 
E057-09 - Fachbereich VSC Research Center 
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Date (published): 
1-Jun-2021
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Event name: 
Austrian-Slovenian HPC Meeting 2021 (ASHPC21) 
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Event date: 
31-May-2021 - 2-Jun-2021
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Event place: 
online, Unknown
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Keywords: 
High Performance Computing; Machine Learning Methods; PCA; Material Science; Density Functional Theory (DFT)
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Abstract: 
Recently we have installed a jupyterhub on our Vienna Scientific Cluster (VSC), the technical details will be presented in another talk. It is possible for the users to login to our cluster via a web browser and use for example the python language to communicate with the cluster. In this presentation, I want to show two examples the first one is from the realm of machine learning and the second one from the realm of material science.
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Research facilities: 
Vienna Scientific Cluster 
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Research Areas: 
Modeling and Simulation: 70%
Computational Materials Science: 30%
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Science Branch: 
1020 - Informatik: 30%
1030 - Physik, Astronomie: 40%
1010 - Mathematik: 30%
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