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Training course "Introduction to Parallel In-Situ Visualization"

(Course no. 1302018 in the training programme 2018 of Forschungszentrum Jülich)

19 Apr 2018 09:00
19 Apr 2018 16:30
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211


Target audience:
Staff members who want to use in situ visualization.

With each generation of supercomputers, memory and CPU performance grows faster than the access and capacity of hard disks. As a result, I/O performance is continuously reduced compared to the rest of the supercomputer. This trend hinders the traditional visualization paradigm.

One solution is the coupling of simulations with real-time visualization - called in situ visualization. In situ visualizing is visualization that necessarily starts before the data producer finishes. The key aspect of in situ visualization is that data is used for visualization/analysis while still in memory. This type of visualization can extract and preserve important information from the simulation that is lost when the simulation proceeds.

The course will cover an introduction and the basic aspects of in situ visualization. In the second half we will focus on the use of in situ visualization in massive parallel environments. Especially the integration into existing simulation codes will be discussed. In a hands-on session the integration of ParaView/Catalyst and VisIt/Libsim will be demonstrated on an small parallel application.

Topics covered will include:

  • Introduction to In Situ Visualization
  • In-Situ Visualization with ParaView/Catalyst and VisIt/Libsim
  • Hands-on session
Knowledge about programming of parallel applications in C/C++ or Fortran
This course is taught in English.
1 day
Thursday, 19 April 2018, 09:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 2, building 16.3, room 211
Number of participants:
minimum 5
Jens Henrik Göbbert, Dr. Herwig Zilken, JSC
Photo Jens Henrik Göbbert
Jens Henrik Göbbert
Phone: +49 2461 61-96498
Please register with Jens Henrik Göbbert until 12 April 2018.
If you do not belong to the staff of Forschungszentrum Jülich, we need these data for registration:
Given name, name, birthday, nationality, complete home address, email address









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