HPC Day @ HIM

Europe/Berlin
1395/00-131 - Conference Room I Front (Raumteil 00-131) (HIM-Bau 1395)

1395/00-131 - Conference Room I Front (Raumteil 00-131)

HIM-Bau 1395

22
Description

Welcome to our first HPC Day @ HIM!

 

Learn and test everything you ever wanted to know and do with our cluster. Experience the computing power for yourself.

 

Get started for first time users in the morning and learn how to compute with Python, Mathematica and Singularity.

https://gitlab.rlp.net/pbotte/hpc-day-feb-2023 

 

In the afternoon, learn from university experts on topics such as parallel file systems, network system and research data management.

The expert talks will also be available via ZOOM: https://gsi-fair.zoom.us/j/69663772609 (Code: 621096) without the hands-on session.

 

Decide for yourself whether to attend the whole day or individual sessions.

 

Coffee/cookie breaks.

Dr. Peter-Bernd Otte
    • 08:30 09:15
      Preparation for hands-on 45m

      Setup and access
      Learn how to connect with our cluster Himster 2 and log in.

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 09:15 09:45
      HPC introduction and machine overview 30m

      Get to know our machine:
      - Overview Himster 2 / Mogon 2
      - home directory
      - Lustre parallel file system
      - interconnect
      - guided tour

      (with hands-on)

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 09:45 10:30
      Cluster wide computation with MPI for Python 45m

      with hands-on

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 10:35 10:55
      Jupyter and Papermill 20m

      with hands-on

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 11:00 11:20
      Mathematica on Himster 2 20m

      with hands-on

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 11:25 12:15
      Building und using a container with Singularity 50m

      with hands-on

      Speaker: Dr Peter-Bernd Otte (HI-Mainz)
    • 12:15 13:00
      lunch break 45m
    • 13:00 13:40
      Research data management 40m

      To properly manage your data, make it Findable, Accessible, Interoberable and Reusable (FAIR) for other scientist, I will explain what is ment by Research Data Management (RDM), how to plan RDM and which Tools are available at the JGU Mainz.

      Speaker: Dr Jörg Steinkamp (ZDV, Uni-Mainz)
    • 13:45 14:30
      JGU campus network, connections to the Internet and mass data transport 45m

      (Dr. Jügern Weiß, ZDV)
      Involved in data transfer across the university or around the globe (eg BES3, GSI or CERN)? This is your topic!

      Speaker: Dr Jürgen Weiß (ZDV, Uni-Mainz)
    • 14:30 16:00
      Lustre, parallel file system 1h 30m

      introduction and best practices, hands-on

      Speaker: Patrick Keller (ZDV (HPC))