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  • |fields=Scientific computing ...ualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clu
    978 bytes (145 words) - 14:20, 31 January 2018
  • |fields=Scientific computing ...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
    1 KB (199 words) - 09:03, 2 February 2018
  • |fields=Scientific computing ...cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help on
    1 KB (153 words) - 06:52, 5 February 2018
  • |description=Transfering data to and from an HPC system |fields=Scientific computing
    957 bytes (145 words) - 11:28, 2 October 2018
  • |description=Scientific Visualisation Workshop In collaboration with SeSe, this year's Scientific Visualisation course will be held from 26-th to 30-th of November
    1 KB (211 words) - 09:16, 28 February 2020
  • ...iption=Making your research data fit for a future of open science and open data |fields=Scientific data
    1 KB (172 words) - 08:48, 4 October 2018
  • |fields=Scientific computing ...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
    1 KB (199 words) - 08:30, 5 October 2018
  • |fields=Scientific computing - How to organise your data
    1 KB (206 words) - 13:53, 18 October 2018
  • |fields=Scientific computing - How to organise your data
    1 KB (226 words) - 13:44, 1 November 2018
  • |description=Transfering data to and from an HPC system |fields=Scientific computing
    960 bytes (145 words) - 16:14, 11 January 2019
  • |fields=Scientific computing ...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
    1 KB (200 words) - 09:40, 16 January 2019
  • |description=Python for Scientific Computing |fields=High performance computing; Python; Scientific computing; Data analysis
    1 KB (164 words) - 08:12, 28 February 2020
  • |fields=Scientific computing ...ualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clu
    1 KB (159 words) - 15:09, 28 February 2019
  • ...iption=Making your research data fit for a future of open science and open data |fields=Scientific data
    1 KB (172 words) - 15:36, 13 March 2019
  • |fields=Scientific computing ...cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help on
    1 KB (150 words) - 12:38, 8 November 2019
  • |fields=Scientific computing ...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
    1 KB (200 words) - 19:27, 13 January 2020
  • |fields=Scientific computing ...ogin to PDC's systems, running software on different nodes at PDC, storing data on different file systems, compiling code, and more.
    733 bytes (107 words) - 09:40, 1 April 2021
  • |fields=Scientific computing ...methods for using Dardel, including logging in, running software, storing data, compiling code, and more. After the lecture, there will be time for partic
    744 bytes (109 words) - 22:03, 16 December 2021
  • |description=Handling large data within SNIC, using Swestore |fields=Scientific data
    1 KB (155 words) - 15:55, 17 February 2022
  • |fields=Scientific computing ...verview of the infrastructure, accounts, logging in, running jobs, storing data, and compiling code. We will also cover relevant topics such as Bash shell,
    981 bytes (140 words) - 18:57, 8 March 2022

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