Adaptive, multiresolution visualization of large data sets using a distributed memory octree
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Comparison of Remote Visualization Strategies for Interactive Exploration of Large Data Sets
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
| Hi-index | 0.00 |
As numerous implementations have demonstrated, software-based parallel rendering is an effective way to obtain the needed computational power for a variety of challenging applications in computer graphics and scientific visualization. To fully realize their potential, however, parallel renderers need to be integrated into a complete environment for generating, manipulating, and delivering visual data. We examine the structure and components of such an environment, including the programming and user interfaces, rendering engines, and image delivery systems. We consider some of the constraints imposed by real-world applications and discuss the problems and issues involved in bringing parallel rendering out of the lab and into production.