After successful completion of the course, students are able to understand real-time visualization concepts and analyse implementation code examples. The covered concepts include High-Performance Computing, GPGPU for Real-Time Visualization and Visualization, and Real-Time Visual Analytics.

Advanced programming using compute shaders with simultaneous rendering in graphics shaders

Utilization of modern graphics hardware concepts: GPGPU

Real-time GPU-Processing of Fluid Simulation

Real-time Molecular Visualization

Real-time Global Volume Illumination

High-Performance Computing

Real-Time Visual Analytics

Real-Time Visualizatin and Filtering of Ultrasound Data

Real-Time Large Graph Visualization

Lecture with slides and programming tasks.

ECTS breakdown:  3 ECTS = 75 hours

37.5 hours - implementation, presentation, and documentation of the lab assignment

37.5 hours - lecture attendance and preparation for oral exam

Written examination and submission interview.

While the foundations will be covered briefly, this is an advanced lecture. Prior attendence of the Computer Graphics lecture and lab course as well as the Visualization 1 and Visualization 2 lecture and lab course are therefore recommended.