Parallel visualization of large-scale unstructured geophysical data for the Earth Simulator

Li Chen, Issei Fujishiro, Kengo Nakajima

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A scalable and high-performance parallel visualization subsystem has been developed in GeoFEM for the Earth Simulator. As part of the Earth Simulator project in Japan, the proposed subsystem is effective for the visualization of large-scale geoscientific data, and can be concurrent with computation subsystems on the same high-performance parallel computer. Moreover, several parallel visualization methods are developed for large unstructured datasets, covering scalar, vector and tensor fields. Furthermore, a number of strategies are adopted in order to improve the parallel performance of the proposed subsystem for the Earth simulator, including the three-level hybrid parallelization and dynamic load balancing. Good visualization images and high parallel performance have been obtained on a Hitachi SR8000 for large unstructured geoscientific data sets, and thus demonstrating the feasibility and effectiveness of the proposed method for use on the Earth Simulator.

Original languageEnglish
Pages (from-to)2245-2263
Number of pages19
JournalPure and Applied Geophysics
Volume161
Issue number11-12
DOIs
Publication statusPublished - 2004 Dec
Externally publishedYes

Fingerprint

simulators
visualization
simulator
Visualization
Simulators
Earth (planet)
dynamic loads
parallel computers
Dynamic loads
Resource allocation
Tensors
Japan
coverings
tensors
scalars
method

Keywords

  • Earth Simulator
  • Hybrid parallelization
  • Large-scale geoscientific dataset
  • Parallel visualization
  • Parallel volume rendering
  • Unstructured grid

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

Cite this

Parallel visualization of large-scale unstructured geophysical data for the Earth Simulator. / Chen, Li; Fujishiro, Issei; Nakajima, Kengo.

In: Pure and Applied Geophysics, Vol. 161, No. 11-12, 12.2004, p. 2245-2263.

Research output: Contribution to journalArticle

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