Visualization of large data sets with the Active Data Repository

Author

Kurc, Tahsin ; Çatalyürek, Ümit ; Chang, Chialin ; Sussman, Alan ; Saltz, Joel

Author_Institution

Dept. of Pathology, Johns Hopkins Med. Inst., USA

Volume

21

Issue

4

fYear

2001

Firstpage

24

Lastpage

33

Abstract

We implement ray-casting-based volume rendering and isosurface rendering methods using the Active Data Repository (ADR) for visualizing out-of-core data sets. We have developed the ADR object-oriented framework to provide support for applications that employ range queries with user-defined mapping and aggregation operations on large-scale multidimensional data. ADR targets distributed-memory parallel machines with one or more disks attached to each node. It is designed as a set of modular services implemented in C++, which can be customized for application-specific processing. The ADR runtime system supports common operations such as memory management, data retrieval, and scheduling of processing across a parallel machine

Keywords

data visualisation; rendering (computer graphics); software libraries; storage management; ADR runtime system; C++; active data repository; application-specific processing; data retrieval; distributed-memory parallel machines; isosurface rendering; large data sets; large-scale multidimensional data; memory management; modular services; out-of-core data sets; parallel machine; ray-casting-based volume rendering; Algorithm design and analysis; Data mining; Data visualization; Indexing; Information retrieval; Isosurfaces; Memory management; Parallel machines; Partitioning algorithms; Runtime;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/38.933521

Filename

933521