Attempts to address this problem have focused on individual problems such as parallel rendering on the MPPs or global hierarchical methods applied in a postprocessing manner. Obviously, as the resolution of simulation models increases, scientific visualization algorithms which take advantage of the large memory and parallelism of these architectures are becoming increasingly important. In this talk, I'll review some of my individual solutions to these problems. However, a more holistic view of the visualization process is required for manipulation of these copious amounts of data. This includes systems tools which provide intelligent caching, paging, and compression.
Visualization is still a young field and there remains tremendous advances which can be made.