Predicting the interactive rendering time threshold of Gaussian process models with HyperSlice

Thomas Torsney-Weir, Steven Bergner, Derek Bingham, Torsten Möller

Publications: Contribution to journalArticlePeer Reviewed

Abstract

In this paper we present a method for predicting the rendering time to display multi-dimensional data for the analysis of computer simulations using the HyperSlice [36] method with Gaussian process model reconstruction. Our method relies on a theoretical understanding of how the data points are drawn on slices and then fits the formula to a user’s machine using practical experiments. We also describe the typical characteristics of data when analyzing deterministic computer simulations as described by the statistics community. We then show the advantage of carefully considering how many data points can be drawn in real time by proposing two approaches of how this predictive formula can be used in a real-world system
Original languageEnglish
Pages (from-to)1111-1123
Number of pages13
JournalIEEE Transactions on Visualization and Computer Graphics
Volume23
Issue number2
Early online date2016
DOIs
Publication statusPublished - 1 Feb 2017

Austrian Fields of Science 2012

  • 102029 Practical computer science

Keywords

  • Gaussian process regression
  • Interactive rendering
  • Multi-dimensional visualization
  • surrogate modeling

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