2008
DOI: 10.1007/s10069-007-0008-1
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Interactive visualization of 3D mantle convection

Abstract: The current availability of thousands of processors at many high performance computing centers has made it feasible to carry out, in near real time, interactive visualization of 3D mantle convection temperature fields, using grid configurations having 10-100 million unknowns. We will describe the technical details involved in carrying out this endeavor, using the facilities available at the Laboratory of Computational Science and Engineering (LCSE) at the University of Minnesota. These technical details involv… Show more

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Cited by 49 publications
(12 citation statements)
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“…At the 2007 IEEE Visualization and the AGU 2007 conferences in California, University of Minnesota researchers demonstrated how an OQO computer, small enough to be held in a single human hand, is used to interact with live 3D mantle convection data computed at Minnesota (Damon et al 2008;Yuen et al 2007). Observers at the demonstration were able to use the OQO computer to manipulate the computed output data.…”
Section: Results From Live Demonstrationsmentioning
confidence: 99%
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“…At the 2007 IEEE Visualization and the AGU 2007 conferences in California, University of Minnesota researchers demonstrated how an OQO computer, small enough to be held in a single human hand, is used to interact with live 3D mantle convection data computed at Minnesota (Damon et al 2008;Yuen et al 2007). Observers at the demonstration were able to use the OQO computer to manipulate the computed output data.…”
Section: Results From Live Demonstrationsmentioning
confidence: 99%
“…A possible solution may be to interrogate interactively and visualize the solution while it is running, thus saving a lot of post-processing time and also time in writing the data to disk space. Recently, researchers at the University of Minnesota working in an interactive visualization mode now have the ability to analyze and manipulate large sets of scientific data from real-time mantle convection simulations in Cartesian coordinates (Damon et al 2008). In our previous work (Damon et al 2008), we have shown that the availability of hundreds of processors coupled with high speed networks at 10 Gbits/s and advanced volume rendering systems (Porter 2002, Porter et al 2002) enables a faster analysis of numerical data, increased levels of research productivity and a substantial reduction in archiving resources.…”
Section: Introductionmentioning
confidence: 99%
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“…However, this resampling process is computationally intensive and also results in numerical artifacts. Therefore it still poses a very big obstacle for efficient volumetric visualization, which is a first step toward interactive visualization (Damon et al 2007).…”
Section: Introductionmentioning
confidence: 99%