21-22 April 2020
Jülich Supercomputing Centre
CET timezone

THIS COURSE IS POSTPONED TO AN YET UNDETERMINED DATE.

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for some time now that combines interactive with reproducible computing while at the same time meeting the challenges of support for the wide range of different software workflows.

Even on supercomputers, the method enables the creation of documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other extensive output. However, a number of challenges must be mastered in order to make existing workflows ready for interactive high-performance computing. With so many possibilities, it's easy to lose sight of the big picture. This course provides a detailed introduction to interactive high-performance computing.

The following topics are covered:

  • Introduction to Jupyter
  • Parallel computing using Jupyter
  • Coupling and control of simulations
  • Interactive & in-situ visualization
  • Simulation dashboards

Prerequisites: Experience in Python

Application
Registrations are only considered until 20 March 2020 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation.

Instructors: Jens Henrik Göbbert, Alice Grosch, JSC

Contact
For any questions concerning the course please send an e-mail to j.goebbert@fz-juelich.de

Starts
Ends
CET
Jülich Supercomputing Centre
Computer Lab 2, room no. 211
Forschungszentrum Jülich 52425 Jülich Germany

Accomodation in Jülich:

Participants are responsible for booking their own hotel accommodation.

Hotel suggestions can be found on the webpage "Travel information and access to Jülich Supercomputing Centre" at JSC.