Physics
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsm11b1589l&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SM11B-1589
Physics
[1994] Informatics / Visualization And Portrayal, [2753] Magnetospheric Physics / Numerical Modeling, [2794] Magnetospheric Physics / Instruments And Techniques, [2799] Magnetospheric Physics / General Or Miscellaneous
Scientific paper
The primary visualization issues of large data are remote interactivity, visualization scalability, and domain applicability of available algorithms. Large data necessitates the need for scalability. Without scalable components in the visualization pipeline interactive exploration is not possible. Scalable components are not the end of the story though. As data to be visualized is often too large to move, it must be visualized in place at a remote site and this necessitate the need for highly optimized client-server delivery layer. Another issue is that most visualization software only have generic functionality and often significant customization is required on the part of the user. Many scientists do not have the time or resources for such customization. The purpose of the SciVis toolkit is to address these issues within the context of the open source ParaView framework. We are currently collecting visualization requirements from members of the community and working with individuals to get them up and running with their visualization needs. In this presentation, we will demonstrate some of the unique capabilities of SciViz including a scalability study of ParaView's IO subsystem that compares performance of existing IO layer to our new parallel file system optimized layer and a case study showing how remote interaction can degrade quickly even when the pipeline scales and how we re-factored ParaView to boost interactivity during remote visualization over networks ranging from Gigabit to consumer grade broadband. We also show an example of domain customization by demonstrating our new magnetic field topology visualization tool and its application to analysis of global MHD simulations.
Karimabadi Homa
Loring B.
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