Parallel visualization of seismic wave propagation

Huai Zhang, Shaolin Chen, Shi Chen, Si Chen, Huimin Jing, David A Yuen, Yaolin Shi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Today parallel visualization of massive datasets from observation and numerical simulation of seismic waves is one of the major goals of geoscience community. A majority of these datasets are time-varying volume data (TVVD), also known as 4D field data. The difficulty of visualizing them on distributed parallel system mainly lies in the algorithm designing for distributed preprocessing of raw datasets, hierarchical point-to-point or collective communication implementation based on distributed data allocation, synchronous volume rendering techniques. In this work we present viable solutions for preprocessing of raw data sets, novel algorithms of parallel rendering and display matrix. Our main objective is focused on the parallel visualization of results coming from full 4D seismic wave propagation simulations.

Original languageEnglish (US)
Pages (from-to)117-124
Number of pages8
JournalVisual Geosciences
Issue number1
StatePublished - 2008

Bibliographical note

Funding Information:
Acknowledgments This work was funded by the foundation research and development project (2004CB418406) and the NSF (40774049, 40474038). We gratefully acknowledge the supports of the network center of Chinese Academic of Sciences for the computational resources and Grants (INF105-SCE-02-12) and research support from Institute of Earthquake Science, Chinese Earthquake Administration.


  • 3D seismic wave propagation
  • High-resolution display matrix
  • Massive data sets
  • Parallel rendering
  • Parallel visualization


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