While computational capacity at DOEs flagship computer centers continues to increase, there is a corresponding increase in need for interactive data analysis. Although researchers are capable of generating unprecedented amounts of data, they also need access to facilities and software that allow them to gain insight into the scientific phenomena hidden in their simulation or experimental data. However, most such researchers only have network-based access to the centrally located computer centers, yet the amount of data to be analyzed is so large as to preclude transfer over the network to a local computer system. This project will define and implement a platform-neutral software infrastructure that provides the ability to perform remote scientific visualization on high performance, interactive, parallel platforms, and transmits the resulting imagery to a remote user or to a remote team of geographically distributed users. Phase I will specify system requirements, identify opportunities for technology reuse from related Open Source projects, and complete a preliminary implementation to evaluate design efficacy.
Commercial Applications and Other Benefits as described by the awardee: Historically, visualization and rendering software has been targeted at console-type applications, where a user views graphics displayed on the console of the computer system running the application. The provision of image data from high powered parallel rendering systems to remote users over IP networks should address an acute need not only within DOE but also within both the commercial and academic sectors