Table of contents
Tutorial for new users
Speakers: Klaus Reuter, Sebastian Ohlmann
Part 1 (overview)
Aim: support MPG scientist in data analysis, development etc.
MPCDF operate:
- several mid-range compute clusters,
- long-term storage tape archives,...
- remote-visualizaton infrastrcure (hardware, software)
- see webpage (docs.mpcdf.mpg.de)
Systems:
- HPC systems (Raven, Cobra, Draco), 5 year renewal cycle
- Manage Linux clusters owned by various institutes
- RVS (remote visualization): rvs.mpcdf.mpg.de, purely browser based, OpenGL rendering
- Jupyter notebook service
- HPC performance monitoring service (hpc-reports.mpcdf.mpg.de)
- Data service: https://gitlab.mpcdf.mpg.de (also wikis, issues, boards) Sign-in: selfservice.mpcdf.mpg.de