Parallel Performance Optimization of Large-Scale Unstructured Data Visualization for the Earth Simulator
| dc.contributor.author | Chen, L. | en_US |
| dc.contributor.author | Fujishiro, I. | en_US |
| dc.contributor.author | Nakajima, K. | en_US |
| dc.contributor.editor | D. Bartz and X. Pueyo and E. Reinhard | en_US |
| dc.date.accessioned | 2014-01-26T16:21:13Z | |
| dc.date.available | 2014-01-26T16:21:13Z | |
| dc.date.issued | 2002 | en_US |
| dc.description.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. | en_US |
| dc.description.seriesinformation | Eurographics Workshop on Parallel Graphics and Visualization | en_US |
| dc.identifier.isbn | 1-58113-579-3 | en_US |
| dc.identifier.issn | 1727-348X | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EGPGV/EGPGV02/133-140 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Parallel Performance Optimization of Large-Scale Unstructured Data Visualization for the Earth Simulator | en_US |
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