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.
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
Volume 31, Issue 2
, February 2005, Pages 205-219
Parallel Graphics and Visualization
