Provenance-Enabling DOE Visualization Applications

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$750,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-08ER85157
Award Id:
89949
Agency Tracking Number:
n/a
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
220 Chase Street, Salt Lake City, UT, 84113
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
788284086
Principal Investigator:
StevenCallahan
Dr.
(801) 556-1116
stevec@sci.utah.edu
Business Contact:
StevenCallahan
Dr.
(801) 556-1116
stevec@sci.utah.edu
Research Institute:
n/a
Abstract
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 anal­ysis 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, computa­tional hedge funds, energy transportation, computer-aided design and manufacturing, and 3D modeling and animation, to name a few.

* information listed above is at the time of submission.

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