Provenance-Enabling DOE Visualization Applications
In the collaborative computing environment, the absence of provenance information (e.g., basic information regarding who created or modified a data product and when, the process used to create the data product, whether two data products were derived from the same raw data) makes it difficult to reproduce and share results, to solve problems collaboratively, to validate results with different input data, to understand the process used to solve a particular problem, and to re-use the knowledge involved in the analÂysis process. This project will design and develop an add-on mechanism to provide provenance information for the top three DOE visualization applications: Para View, Visit, and Insight. In addition, a general provenance management infrastructure, which can be applied to a wide range of third-party applications, will be developed. In Phase I, functional add-on prototypes were developed for both Para View and Visit. In Phase II, production-ready add-ons will be developed for Para View, Visit, and Insight, and a Provenance Explorer software tool and soft ware development kit (SDK) will be designed and developed. Commercial Applications and other Benefits as described by the awardee: The Provenance Explorer SDK should provide significant value in applications that make heavy use of simulations, data mining, and visualization. Such applications are widely used in oil and gas exploration, computaÂtional hedge funds, energy transportation, computer-aided design and manufacturing, and 3D modeling and animation, to name a few.
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