Exploration and Visualization of Very Large Datasets with the Active Data Repository
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Date
2001-01-24Author
Kurc, Tahsin
Catalyurek, Umit
Chang, Chialin
Sussman, Alan
Saltz, Joel
Metadata
Show full item recordAbstract
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)