CoLab - Workshops on High Performance Computing, Graphic Engines, and In-Situ Visualization

Interactive High- Performance Computing with Jupyter

Exploration of large amounts of data from simulations requires a strong infrastructure supporting application control and in-situ visualization. This workshop highlights the use of Jupyter, an open-source software that combines interactive with reproducible computing.

Intro: Sverrir Geirdal

Workshop tutor: Jens Henrik Göbbert

Generating Data using Graphic Engines for Machine Learning

Unreal Engine is a state-of- the-art graphics engine. It brings a large selection of tools and methods that integrate well in established pipelines. We use UE to generate data for Artificial Intelligence networks. We couple these systems in HPC environments: Scalable ways of direct interaction enable more robust models.

Intro: Sverrir Geirdal

Vitar Games: Baldvin Albertsson

Workshop tutor: Dirk Helmrich

In-Situ Visualization Workshop

Data visualization and early exploration of simulation results and processes enable interpretation without the need for large data storage. This workshop introduces concepts and techniques for in-situ and in-transit visualization.

Intro: Sverrir Geirdal

Workshop tutor: Jens Henrik Göbbert