Cluster Computing and the Grid, IEEE International Symposium on (2009)
May 18, 2009 to May 21, 2009
Scientific visualization is the process of transforming raw numeric data into a visual form, and is a key element of computational science. While many tools exist, they are unnecessarily difficult to use. This complexity increases time to insight and inhibits casual inquiry. The complexity derives from the need to support arbitrarily formatted data and many visualization algorithms. EnVision addresses both sources of complexity. Its design is predicated on two key insights. First, though the number of data file formats is unbounded, the structure of any one can be described using a small number of parameters. Second, the set of visualization algorithms applicable to a given type of data is small, and the subset used within a specific scientific discipline is smaller. EnVision utilizes domain-specific knowledge and user-directed semi-automation to dramatically simplify data importation and visualization algorithm selection. Its web-based interface facilitates access to remote hardware resources and provides a collaborative visualization environment.
S. A. Mock, G. P. Johnson, G. S. Johnson and B. M. Westing, "EnVision: A Web-Based Tool for Scientific Visualization," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Shanghai, China, 2009, pp. 603-608.