Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Scalable distributed visualization using off-the-shelf components
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
QSplat: a multiresolution point rendering system for large meshes
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Scalable interactive volume rendering using off-the-shelf components
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
Proceedings of the conference on Visualization '01
Interactive Visualization of Particle Beams for Accelerator Design
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Sepia: Scalable 3D Compositing Using PCI Pamette
FCCM '99 Proceedings of the Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Hierarchical Splatting of Scattered Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Enhancing interactive particle visualization with advanced shading models
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Interactive Visualization of Intercluster Galaxy Structures in the Horologium-Reticulum Supercluster
IEEE Transactions on Visualization and Computer Graphics
A Coherent Grid Traversal Approach to Visualizing Particle-Based Simulation Data
IEEE Transactions on Visualization and Computer Graphics
Interactive particle visualization with advanced shading models using lazy evaluation
EG PGV'07 Proceedings of the 7th Eurographics conference on Parallel Graphics and Visualization
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This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-second is achieved for 2563 particles using 7 render nodes and a display node. This provides real time interaction and interactive exploration of large datasets, which has been a challenge for scientific visualization and other real time data mining applications. The system allows scientists to study and to analyze the simulation results by viewing the particle cube from different perspectives, flying through the simulation field, or diving into the internal structure of the particles. A dynamic data distribution technique is designed for visualizing a highlighted subset of the particle volume. It maintains the load balance of the system and minimize the network traffic by updating the rendering pipeline through reconfiguration of the rendering chain. The method can be easily extended to other large datasets such as hydrodynamic turbulence, fluid dynamics, and so on.