Remote interactive direct volume rendering of AMR data
We describe a framework for direct volume rendering of adaptive mesh refinement (AMR) data that operates directly on the hierarchical grid structure, without the need to resample data onto a single, uniform rectilinear grid. The framework can be used for a range of renderers optimized for particular hardware architectures: a hardware-assisted renderer for single-processor graphics workstations, and a massively parallel software-only renderer for supercomputers. It is also possible to use the framework for distributed rendering servers. By exploiting the multiresolution structure of AMR data, the hardware-assisted renderers can render large AMR data sets at interactive rates, even if the data is stored remotely.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Director, Office of Science. Office of Advanced Scientific Computing Research. Mathematical, Information, and Computational Sciences Division (US)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 799586
- Report Number(s):
- LBNL-49954; R&D Project: KX0310; B& R KJ0102000; TRN: US200217%%249
- Resource Relation:
- Conference: IEEE Visualization 2002, Boston, MA (US), 10/27/2002--11/01/2002; Other Information: PBD: 28 Mar 2002
- Country of Publication:
- United States
- Language:
- English
Similar Records
The Future Looks Bright for Teraflop Computing
Parallel rendering techniques for massively parallel visualization