Parallel Performance Optimization of Large-Scale Unstructured Data Visualization for the Earth Simulator

Loading...
Thumbnail Image
Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper describes some efficient parallel performance optimization strategies for large-scale unstructured data visualization on SMP cluster machines including the Earth Simulator in Japan. The three-level hybrid parallelization is employed in our implementation, consisting of message passing for inter-SMP node communication, loop directives by OpenMP for intra-SMP node parallelization, and vectorization for each processing element (PE). In order to improve the speedup performance for the hybrid parallelization, some techniques, such as multi-coloring for removing data race and dynamic load repartition for load balancing, are considered. Good visualization images and high parallel performance have been achieved on Hitachi SR8000 for large-scale unstructured datasets, which shows the feasibility and effectiveness of our strategies.
Description

        
@inproceedings{
:10.2312/EGPGV/EGPGV02/133-140
, booktitle = {
Eurographics Workshop on Parallel Graphics and Visualization
}, editor = {
D. Bartz and X. Pueyo and E. Reinhard
}, title = {{
Parallel Performance Optimization of Large-Scale Unstructured Data Visualization for the Earth Simulator
}}, author = {
Chen, L.
and
Fujishiro, I.
and
Nakajima, K.
}, year = {
2002
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-348X
}, ISBN = {
1-58113-579-3
}, DOI = {
/10.2312/EGPGV/EGPGV02/133-140
} }
Citation