Meet MPCDF: Jupyter notebook and visualization services for HPC

Jupyter notebook and visualization services for HPC

  • Date: Oct 5, 2023
  • Time: 03:30 PM - 04:30 PM (Local Time Germany)
  • Speaker: Members of the MPCDF
  • Location: online via Zoom
  • Host: MPCDF
  • Contact: training@mpcdf.mpg.de
The series "Meet MPCDF" offers the opportunity for the users to informally interact with MPCDF staff, in order to discuss relevant kinds of technical topics.

This Meet MPCDF seminar provides an overview of recent developments in Remote Visualization and Jupyter Services (RVS) which are components of the High-Performance Computing infrastructure and services at MPCDF. First, the new Cloud-based cluster Robin is introduced. Robin has recently become part of our RVS framework, offering users extended session run times and other advantages.

Next, we will discuss RVS use cases and best practices, covering GUI applications and remote visualization briefly, before detailing on JupyterLab for Python, R, Julia, and potentially other programming languages.



Meet MPCDF: A seminar of this series is given on the first Thursday of the month, from 15:30 to 16:30, and features a technical talk (ca. 20-30 minutes) about an AI, HPC or data-related topic given by a staff member of the MPCDF. In addition, this meeting offers the opportunity for the users to informally interact with MPCDF staff, in order to discuss relevant kinds of technical topics. Optionally, questions or requests for specific topics to be covered in more depth can be raised in advance via email to training@mpcdf.mpg.de.

Target audience are intermediate to advanced users of MPCDF services as well as computational scientists and software developers of the MPG. Users seeking a basic introduction to MPCDF services are referred to our semi-annual online workshop "Introduction to MPCDF services" (see above) which offers a consistent introduction for new users of the MPCDF.

A registration is not necessary, just use the link on the left which directly connects you to the Zoom room of the event. The explicit connection details are

Meeting ID: 936 3550 3145

Passcode: 622791

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