|Title||I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data
|in||in Eurographics/ACM SIGGRAPH Symposiumm Proceedings of Parallel Graphics and Visualization 2004,|
Hongfeng Yu, Kwan-Liu Ma, Joel Welling |
Dirk Bartz, Bruno Raffin, H. Shen |
|Organization||Parallel Graphics and Visualization 2004|
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 significantly 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.