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 language | English |
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Pages (from-to) | 1111-1123 |
Number of pages | 13 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Volume | 23 |
Issue number | 2 |
Early online date | 2016 |
DOIs | |
Publication status | Published - 1 Feb 2017 |
Austrian Fields of Science 2012
- 102029 Practical computer science
Keywords
- Gaussian process regression
- Interactive rendering
- Multi-dimensional visualization
- surrogate modeling