Dieses Dokument ist leider nur in Englisch verfügbar.

Parallel Volume Rendering

  Description    
Volume rendering is often to be applied to large data sets. For example, the increasing resolution of medical CT scanners leads to increasing sizes of scalar data sets, which can be in the range of gigabytes. Even more challenging is the visualization of time-dependent CFD simulation data that can comprise several gigabytes for a single time step and several hundred or thousand time steps. Parallel visualization can be used to address the issues of large data processing in two ways: Both the available memory and the visualization performance are scaled by the number of nodes in a cluster computer.

  Cluster Computers    
Kepler Cluster VIS
32 Nodes 8
Dual AMD
Athlon MP
2000+ (1.6GHz) 		CPUs Dual AMD
Opteron 248
2.2GHz
2 GB Memory 4 GB
NVIDIA
GeForce FX Ultra 		GPUs NVIDIA
GeForce 6800 Ultra
Myrinet 1.28GB/s Interconnect Infiniband 10GB/s
2.4.19 SMP i686 Linux 2.6.11.7 SMP x86_64
  Contact    
Magnus Strengert[1]
  References    
  • M. Strengert, M. Magallón, D. Weiskopf, S. Guthe, and T. Ertl.
    Large Volume Visualization of Compressed Time-Dependent Datasets on GPU Clusters.
    Journal of Parallel Computing [2]
    Volume 31, Issue 2 [3] , February 2005, Pages 205-219
    Parallel Graphics and Visualization

  • M. Strengert, M. Magallón, D. Weiskopf, S. Guthe, and T. Ertl.
    Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters.
    Eurographics Symposium on Parallel Graphics and Visualization (EGPGV04)[4]
    Grenoble, France, pp.41-48, 2004
    [ps][5]   |   [pdf][6]

  • M. Magallón, M. Hopf, and T. Ertl
    Parallel Volume Rendering using PC Graphics Hardware.
    Pacific Graphics (PG01)
    Tokyo, Japan, 2001
    [ps][7]   |   [pdf][8]

    •       Universität Stuttgart, Institut für Informatik,
    Abteilung Visualisierung und Interaktive Systeme

    http://www.vis.uni-stuttgart.de/ger/research/fields/current/parvolren/index.html