Center for Computing Research (CCR)
Center for Computing Research
Scalable Analysis and Vis, 01461
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The scalable analysis and visualization department specializes in the research and development of capabilities to enable an understanding of large, complex data in direct support of the broader national-security missions of Sandia National Laboratories. We develop state-of-the-art techniques for visualization and predictive analytics through deep expertise and experience in statistical methods, machine learning, data mining, high-performance computing, computational geometry and graphics. Our department also maintains a robust external presence through strategic partnerships with universities, industry, and other national laboratories; and is committed to developing and contributing to open-source technologies.
People
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Ron A. Oldfield Manager, Scalable Analysis and Vis Email: raoldfi@sandia.gov Phone: 505/284-9153 Fax: 505/844-4728 Mailing address: Sandia National Laboratories P.O. Box 5800, MS 1327 Albuquerque, NM 87185-1320 |
Patricia J. Crossno
Warren Leon Davis
Daniel Dunlavy
Matthew R. Glickman
Andrew McFarland
Kenneth D. Moreland (Ken)
Benjamin David Newton
Jeffrey Nichol
Matthew Gregor Peterson
Gabriel ANUOLUWAPO Popoola
Timothy Shead
Andrew T. Wilson
Projects
The Scalable Analysis and Visualization Department is involved with the projects listed below.
News
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- Sandia and Kitware Partner to Improve Performance of Volume Rendering for HPC Applications
In collaboration with researchers at Sandia, Kitware developers have made significant performance improvements to volume rendering for large-scale applications. First, Kitware significantly improved unstructured-grid volume rendering....
- Slycat Enables Synchronized 3D Comparison of Surface Mesh Ensembles
In support of analyst requests for Mobile Guardian Transport studies, researchers at Sandia National Laboratories have expanded data types for the Slycat ensemble-analysis and visualization tool to include 3D surface meshes....