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dc.contributor.authorHorne, Gary E.
dc.contributor.authorSchweiz, Klaus-Peter
dc.date.accessioned2014-01-29T23:39:17Z
dc.date.available2014-01-29T23:39:17Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10945/38610
dc.descriptionProceedings of the 2008 Winter Simulation Conference S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds.en_US
dc.description.abstractData Farming combines the rapid prototyping capability inherent in certain simulation models with the exploratory power of high performance computing to rapidly generate insight into questions. The Data Farming process focuses on a more complete landscape of possible system responses, rather than attempting to pinpoint an answer. Data Farming allows decision makers to more fully understand the landscape of possibilities and also consider outliers that may be discovered. Over the past decade, an international community has formed around these ideas. In 2008, International Data Farming Workshop 16 took place in Monterey, California, USA and workshop number 17 was held in Garmisch Partenkirchen, Germany. In addition to a summary of these two workshops, this paper will present an overview of the process that has developed to include the development of both methods and applications in the International Data Farming Community.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleData Farming Around the World Overviewen_US
dc.typeConference Paperen_US
dc.contributor.departmentSEED Center for Data Farming


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