Visualization of large data sets with the Active Data Repository
| Title | Visualization of large data sets with the Active Data Repository |
| Publication Type | Journal Articles |
| Year of Publication | 2001 |
| Authors | Kurc T, Catalyurek U, Chang C, Sussman A, Saltz J |
| Journal | IEEE Computer Graphics and Applications |
| Volume | 21 |
| Issue | 4 |
| Pagination | 24 - 33 |
| Date Published | 2001/08//Jul |
| ISBN Number | 0272-1716 |
| Keywords | active data repository, ADR runtime system, Algorithm design and analysis, application-specific processing, C++, data mining, data retrieval, data visualisation, Data visualization, distributed-memory parallel machines, Indexing, Information retrieval, isosurface rendering, Isosurfaces, large data sets, large-scale multidimensional data, Memory management, modular services, out-of-core data sets, parallel machine, Parallel machines, Partitioning algorithms, ray-casting-based volume rendering, Rendering (computer graphics), Runtime, software libraries, storage management |
| 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 |
| DOI | 10.1109/38.933521 |