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

Chen, L.; Fujishiro, I.; Nakajima, K.

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

Files

133-140.pdf (761.14 KB)

Date

2002

Authors

Chen, L.
Fujishiro, I.
Nakajima, K.

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.

        @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
}
}