Evaluating the Efficacy of Wavelet Configurations on Turbulent-Flow Data

Kenny Gruchalla, Shaomeng Li, Kristin Potter, John Clyne, Hank Childs

Research output: Contribution to conferencePaperpeer-review

19 Scopus Citations

Abstract

I/O is increasingly becoming a significant constraint for simulation codes and visualization tools on modern supercomputers. Data compression is an attractive workaround, and, in particular, wavelets provide a promising solution. However, wavelets can be applied in multiple configurations, and the variations in configuration impact accuracy, storage cost, and execution time. While the variation in these factors over wavelet configurations have been explored in image processing, they are not well understood for visualization and analysis of scientific data. To illuminate this issue, we evaluate multiple wavelet configurations on turbulent-flow data. Our approach is to repeat established analysis routines on uncompressed and lossy-compressed versions of a data set, and then quantitatively compare their outcomes. Our findings show that accuracy varies greatly based on wavelet configuration, while storage cost and execution time vary less. Overall, our study provides new insights for simulation analysts and visualization experts, who need to make tradeoffs between accuracy, storage cost, and execution time.

Original languageAmerican English
Pages81-89
Number of pages9
DOIs
StatePublished - 4 Dec 2015
Event5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015 - Chicago, United States
Duration: 25 Oct 201526 Oct 2015

Conference

Conference5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015
Country/TerritoryUnited States
CityChicago
Period25/10/1526/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

NREL Publication Number

  • NREL/CP-2C00-64892

Keywords

  • data analysis
  • data compression
  • data compression
  • data visualisation
  • data visualization
  • image coding
  • image processing
  • parallel machines
  • wavelet transforms

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