Paper
28 February 2000 Parallel visualization of large data sets
Robert O. Rosenberg, Marco O. Lanzagorta, Almadena Chtchelkanova, Alexei Khokhlov
Author Affiliations +
Proceedings Volume 3960, Visual Data Exploration and Analysis VII; (2000) https://doi.org/10.1117/12.378889
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
In this paper we describe our efforts towards the parallel visualization of large data sets. We describe the fully threaded tree (FTT) structure developed at NRL to tackle the problem of massive parallel calculations using adaptive mesh refinement methods. All operations with FTT are performed in parallel and require only a small memory overhead. The FTT can be viewed as a data compression scheme that dramatically improves the performance of standard finite difference algorithms by performing calculations on the compressed data in situ. Because of the tremendous benefits of this type of data structure, it is of great interest to develop visualization algorithms that are native to the FTT. Using the FTT library, we convert the FTT data structure to an unstructured data set and discuss applications to both scatter dot visualization and parallel ray-tracing. The latter technique gives a good indication of the performance and scalability of the FTT algorithm for ray-tracking. We then discuss conversion of the FTT data structure for virtual reality visualization in an immersive room. Our results are presented using an example of a numerical calculation of a detonation in a rectangular cavity using from 1 to 2 million cells.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert O. Rosenberg, Marco O. Lanzagorta, Almadena Chtchelkanova, and Alexei Khokhlov "Parallel visualization of large data sets", Proc. SPIE 3960, Visual Data Exploration and Analysis VII, (28 February 2000); https://doi.org/10.1117/12.378889
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KEYWORDS
Visualization

Data conversion

Algorithm development

Computer simulations

Volume rendering

Analytical research

Optical spheres

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