Fakultät Informatik

Diploma Thesis Parallel Terrain Visualization


This diploma thesis will focus on evaluating different parallelization strategies for an existing terrain visualization system. Several data and computation distribution scenarios should be evaluated. The work will take place on our local 9 node cluster. This cluster is a distributed-shared architecture where the nodes are connected via both ethernet and infiniband. Each node features a dual-processor intel architecture along with a recent nVidia graphics card, as well as a sufficient amount of RAM. The resulting application should be able to visualize large scale terrain data interactively on a large tiled display (> 2m x 2m). Furthermore, an intuitive user interface should be developped.


  • Interest in parallel computing and computer graphics
  • Knowledge of the C++ programming language
  • Knowledge of OpenGL
  • Knowledge of parallel computing or networks will be a plus




Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.


PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.