Analysis of large-scale scalar data using hixels

@article{Thompson2011AnalysisOL,
  title={Analysis of large-scale scalar data using hixels},
  author={D. Thompson and Joshua A. Levine and Janine Bennett and P. Bremer and A. Gyulassy and Valerio Pascucci and P. P{\'e}bay},
  journal={2011 IEEE Symposium on Large Data Analysis and Visualization},
  year={2011},
  pages={23-30}
}
One of the greatest challenges for today's visualization and analysis communities is the massive amounts of data generated from state of the art simulations. Traditionally, the increase in spatial resolution has driven most of the data explosion, but more recently ensembles of simulations with multiple results per data point and stochastic simulations storing individual probability distributions are increasingly common. This paper introduces a new data representation for scalar data, called… Expand
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