I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data

dc.contributor.authorYu, Hongfengen_US
dc.contributor.authorMa, Kwan-Liuen_US
dc.contributor.authorWelling, Joelen_US
dc.contributor.editorDirk Bartz and Bruno Raffin and Han-Wei Shenen_US
dc.date.accessioned2014-01-26T16:25:01Z
dc.date.available2014-01-26T16:25:01Z
dc.date.issued2004en_US
dc.description.abstractThis 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.seriesinformationEurographics Workshop on Parallel Graphics and Visualizationen_US
dc.identifier.isbn3-905673-11-8en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV04/031-040en_US
dc.publisherThe Eurographics Associationen_US
dc.titleI/O Strategies for Parallel Rendering of Large Time-Varying Volume Dataen_US
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