I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data
| dc.contributor.author | Yu, Hongfeng | en_US |
| dc.contributor.author | Ma, Kwan-Liu | en_US |
| dc.contributor.author | Welling, Joel | en_US |
| dc.contributor.editor | Dirk Bartz and Bruno Raffin and Han-Wei Shen | en_US |
| dc.date.accessioned | 2014-01-26T16:25:01Z | |
| dc.date.available | 2014-01-26T16:25:01Z | |
| dc.date.issued | 2004 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.seriesinformation | Eurographics Workshop on Parallel Graphics and Visualization | en_US |
| dc.identifier.isbn | 3-905673-11-8 | en_US |
| dc.identifier.issn | 1727-348X | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EGPGV/EGPGV04/031-040 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data | en_US |
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