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Using desktop graphics workstations for interactive remote exploration of large data sets
| Content Provider | Semantic Scholar |
|---|---|
| Author | Freitag, Lori A. Loy, Raymond M. |
| Copyright Year | 2000 |
| Abstract | The interactive visualization and exploration of large scientific data sets is a challenging and difficult task; their size often far exceeds the performance and memory capacity of even the most powerful graphics workstations. To address this problem, we have created a technique that combines multiresolution data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. We describe the creation of reduced data sets using several different criteria including user-specified error bounds or a preset performance criterion. We discuss the software architecture of the system with particular emphasis on the algorithms used to efficiently create a reduced data set and the software used to communicate between the remote data reduction server and the local graphics client. We present performance results for the visualization of Rayleigh-Taylor instability and hairpin vortex data sets. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://publications.anl.gov/anlpubs/2000/05/35947.pdf |
| Alternate Webpage(s) | http://w3.pppl.gov/vde2000/eproceedings/13freitag.PDF |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
