Exploration and Visualization of Very Large Datasets with the Active Data Repository

No Thumbnail Available

Files

CS-TR-4208.ps (1.49 MB)
No. of downloads: 430

Publication or External Link

Date

2001-01-24

Advisor

Citation

DRUM DOI

Abstract

The analysis and exploration of scientific datasets is a challenging and increasingly important part of scientific research. Visualization is a powerful analysis tool that converts numerical values into an image, which can be more easily analyzed by a human. We have developed a framework, called the Active Data Repository, that is designed to provide support for applications that analyze, explore and visualize very large multi-dimensional datasets. ADR targets distributed memory parallel machines with one or more disks attached to each node. In this paper, we present implementations of ray-casting based volume rendering and iso-surface rendering methods using ADR for visualizing out-of-core datasets, and describe experimental performance results. (Also cross-referenced as UMIACS-TR-2001-04)

Notes

Rights