Segmented ray casting for data parallel volume rendering
PRS '93 Proceedings of the 1993 symposium on Parallel rendering
Communication Costs for Parallel Volume-Rendering Algorithms
IEEE Computer Graphics and Applications
Parallel volume ray-casting for unstructured-grid data on distributed-memory architectures
PRS '95 Proceedings of the IEEE symposium on Parallel rendering
ParVox: a parallel splatting volume rendering system for distributed visualization
PRS '97 Proceedings of the IEEE symposium on Parallel rendering
PRS '97 Proceedings of the IEEE symposium on Parallel rendering
POPTEX: interactive ocean model visualization using texture mapping hardware
Proceedings of the conference on Visualization '98
Parallel visualization of large-scale aerodynamics calculations: a case study on the Cray T3E
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
Using high-speed WANs and network data caches to enable remote and distributed visualization
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
High performance visualization of time-varying volume data over a wide-area network status
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Using MPI-2: Advanced Features of the Message Passing Interface
Using MPI-2: Advanced Features of the Message Passing Interface
EGPGV '02 Proceedings of the Fourth Eurographics Workshop on Parallel Graphics and Visualization
Image Composition Schemes for Sort-Last Polygon Rendering on 2D Mesh Multicomputers
IEEE Transactions on Visualization and Computer Graphics
Interactive Ray Tracing for Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data
IEEE Transactions on Visualization and Computer Graphics
Parallel Volume Rendering Using Binary-Swap Compositing
IEEE Computer Graphics and Applications
Scalable Rendering on PC Clusters
IEEE Computer Graphics and Applications
Visualizing Time-Varying Volume Data
Computing in Science and Engineering
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Parallel netCDF: A High-Performance Scientific I/O Interface
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Visualizing Very Large-Scale Earthquake Simulations
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
A Parallel Visualization Pipeline for Terascale Earthquake Simulations
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
A study of I/O methods for parallel visualization of large-scale data
Parallel Computing - Parallel graphics and visualization
Terascale data organization for discovering multivariate climatic trends
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Interactive volume rendering of unstructured grids with time-varying scalar fields
EG PGV'06 Proceedings of the 6th Eurographics conference on Parallel Graphics and Visualization
Efficient I/O for parallel visualization
EG PGV'11 Proceedings of the 11th Eurographics conference on Parallel Graphics and Visualization
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This paper presents I/O solutions for the visualization of time-varying volume data in a parallel and distributed computing environment. Depending on the number of rendering processors used, our I/O strategies help signifi- cantly lower interframe delay by employing a set of I/O processors coupled with MPI parallel I/O support. The targeted application is earthquake modeling using a large 3D unstructured mesh consisting of one hundred millions cells. Our test results on the HP/Compaq AlphaServer operated at the Pittsburgh Supercomputing Center demonstrate that the I/O strategies effectively remove the I/O bottlenecks commonly present in time-varying data visualization. This high-performance visualization solution we provide to the scientists allows them to explore their data in the temporal, spatial, and visualization domains at high resolution. This new high-resolution explorability, likely not presently available to most computational science groups, will help lead to many new insights.