Dynamic Sharing of Large-Scale Visualization

Visualization is a research tool that computational scientists use for qualitative exploration, hypothesis verification, and result presentation. Driven by needs for large user groups to collaborate across geographical distances, visualization must now also serve as an effective means to share concrete data as well as abstract ideas over the Internet. Yet there is simply no expeditious and practical way for users collaborating in this wide area to share large visualizations in a dynamic fashion. Using distributed heterogeneous resources as a basic parallel infrastructure to compute visualization could provide great potential usability, scalability, and cost efficiency. To justify our viewpoint, we describe a sample system of this nature and demonstrate its efficacy with a recently generated real-world large data set