Authors: Schwarz, N., Leigh, J.

Publication: GRAPP 2010 - Proceedings of the Fifth International Conference on Computer Graphics Theory and Applications, Angers, France

GRAPP 2010 Website

This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach reprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.

Keywords: High-resolution display arrays, direct volume rendering, parallel rendering, graphics systems and distributed shared-memory.

Date: May 17, 2010 - May 21, 2010

Document: View PDF

Related Entries

Directory:

• Jason Leigh
• Nicholas Schwarz

Research:

• Distributed Volume Rendering of Very Large Data on High-Resolution Scalable Displays
• LambdaVision

Related Categories

• Applications
• Networking
• Software
• Supercomputing
• Visualization