A Rising Sun at NPS: Visualization with RenderMan on the Hamming Supercomputer [video]
dc.contributor.author | Haferman, Jeff | |
dc.contributor.author | Weekley, Jeffrey | |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
dc.date.accessioned | 2013-07-18T17:56:38Z | |
dc.date.available | 2013-07-18T17:56:38Z | |
dc.date.issued | 2010-03-08 | |
dc.description.abstract | In early 2009, the Naval Postgraduate School (NPS) brought the 1152 core "hamming" Sun Microsystems blade system online. Concurrently, NPS procured RenderMan™ software from Pixar Animation Studios. In this presentation, Dr. Heferman and Mr. Weekley describe the hamming supercomputer, the Maya 3D modeling package with Pixar's RenderMan software - used by film studios to develop popular animated feature films such as "Ratatouille" and "Up" and in visual effects for movies like "Where the Wild Things Are" - and how NPS used them together to create realistic visualizations in a format suitable for projection on the NPS Sony 4K display and for ultra-high resolution streaming media over CENIC networks. Dr. Heferman and Mr. Weekley demonstrate how advances in Hollywood-style animation and post-production tools have benefited researchers at NPS who are working on scientific visualization and streaming media in support of the School's academic and research missions. | en_US |
dc.format.extent | 387 MB. Duration: 00:28:04 | en_US |
dc.identifier.uri | https://hdl.handle.net/10945/34403 | |
dc.publisher | Monterey, California: Naval Postgraduate School | en_US |
dc.relation.ispartofseries | Videos | |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.subject.author | CENIC | en_US |
dc.title | A Rising Sun at NPS: Visualization with RenderMan on the Hamming Supercomputer [video] | en_US |
dc.type | Video | en_US |
dspace.entity.type | Publication | |
relation.isSeriesOfPublication | 4fd771d2-d69a-4985-ac05-757ee8772c02 | |
relation.isSeriesOfPublication.latestForDiscovery | 4fd771d2-d69a-4985-ac05-757ee8772c02 |
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