I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data
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Date
2004
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/EGPGV/EGPGV04/031-040,
booktitle = {Eurographics Workshop on Parallel Graphics and Visualization},
editor = {Dirk Bartz and Bruno Raffin and Han-Wei Shen},
title = {{I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data}},
author = {Yu, Hongfeng and Ma, Kwan-Liu and Welling, Joel},
year = {2004},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {3-905673-11-8},
DOI = {/10.2312/EGPGV/EGPGV04/031-040}
}