In-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysis

dc.contributor.authorWoodring, Jonathanen_US
dc.contributor.authorAhrens, J.en_US
dc.contributor.authorFigg, J.en_US
dc.contributor.authorWendelberger, J.en_US
dc.contributor.authorHabib, S.en_US
dc.contributor.authorHeitmann, K.en_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:24:03Z
dc.date.available2014-02-21T20:24:03Z
dc.date.issued2011en_US
dc.description.abstractWe 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.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.doi10.1111/j.1467-8659.2011.01964.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01964.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.subjectH.3.m [Information Storage and Retrieval]en_US
dc.subjectMiscellaneousen_US
dc.titleIn-situ Sampling of a Large-Scale Particle Simulation for Interactive Visualization and Analysisen_US
Files