In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis
| dc.contributor.author | Woodring, Jonathan | en_US |
| dc.contributor.author | Ahrens, J. | en_US |
| dc.contributor.author | Figg, J. | en_US |
| dc.contributor.author | Wendelberger, J. | en_US |
| dc.contributor.author | Habib, S. | en_US |
| dc.contributor.author | Heitmann, K. | en_US |
| dc.contributor.editor | H. Hauser, H. Pfister, and J. J. van Wijk | en_US |
| dc.date.accessioned | 2014-02-21T20:24:03Z | |
| dc.date.available | 2014-02-21T20:24:03Z | |
| dc.date.issued | 2011 | en_US |
| dc.description.abstract | We describe a simulation-time random sampling of a large-scale particle simulation, the RoadRunner Universe MC3 cosmological simulation, for interactive post-analysis and visualization. Simulation data generation rates will continue to be far greater than storage bandwidth rates by many orders of magnitude. This implies that only a very small fraction of data generated by a simulation can ever be stored and subsequently post-analyzed. The limiting factors in this situation are similar to the problem in many population surveys: there aren't enough human resources to query a large population. To cope with the lack of resources, statistical sampling techniques are used to create a representative data set of a large population. Following this analogy, we propose to store a simulationtime random sampling of the particle data for post-analysis, with level-of-detail organization, to cope with the bottlenecks. A sample is stored directly from the simulation in a level-of-detail format for post-visualization and analysis, which amortizes the cost of post-processing and reduces workflow time. Additionally by sampling during the simulation, we are able to analyze the entire particle population to record full population statistics and quantify sample error. | en_US |
| dc.description.number | 3 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 30 | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2011.01964.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.3.8 [Computer Graphics] | en_US |
| dc.subject | Applications | en_US |
| dc.subject | H.3.m [Information Storage and Retrieval] | en_US |
| dc.subject | Miscellaneous | en_US |
| dc.title | In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis | en_US |