Large scale distributed visualization on computational Grids: A review

Advances in science and engineering have put high demands on tools for high performance large-scale data exploration and analysis. Visualization is a powerful technology for analyzing data and presenting results. Todays science and engineering have benefited from state-of-the-art of Grid technologies and modern visualization systems. To visualize the large amount of data, rendering technologies are widely used to parallelize visualization tasks over distributed resources on computational Grids. It raises the necessity to balance the computational load and to minimize the network bandwidth requirements. This article explains in Grid environments how new approaches of visualization architecture and load-balancing algorithms address these challenges in a principled fashion. The Grid infrastructure that supports large scale distributed visualization is also introduced. Some typical visualization systems on Grids are referenced for discussions.

High performance parallel & distributed visualization for large-scale data set has been highly demanded by the advances of science and engineering applications. Grid computing technologies provide effective support for large-scale distributed virtualization. This paper serves as a literature view for parallel & distributed visualization on computational Grids: algorithms, models, techniques, and software implementations are investigated in the related fields.Figure optionsDownload as PowerPoint slide