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| Paper: |
Recent Advances in VisIt: AMR Streamlines and Query-driven Visualization |
| Volume: |
429, Numerical Modeling of Space Plasma Flows, Astronum-2009 |
| Page: |
329 |
| Authors: |
Weber, G. H.; Ahern, S.; Bethel, E. W.; Borovikov, S.; Childs, H. R.; Deines, E.; Garth, C.; Hagen, H.; Hamann, B.; Joy, K. I.; Martin, D.; Meredith, J.; Prabhat; Pugmire, D.; Rübel, O.; Van Straalen, B.; Wu, K. |
| Abstract: |
Adaptive Mesh Refinement (AMR) is a highly effective method for simulations spanning
a large range of spatiotemporal scales such as those encountered in astrophysical
simulations. Combining research in novel AMR visualization algorithms and basic
infrastructure work, the Department of Energy (DOE) Scientific Discovery through
Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling
Technologies (VACET) has extended VisIt, an open source visualization tool that can
handle AMR data without converting it to alternate representations. This paper
focuses on two recent advances in the development of VisIt. First, we have developed
streamline computation methods that properly handle multi-domain data sets and
utilize effectively multiple processors on parallel machines. Furthermore, we are
working on streamline calculation methods that consider an AMR hierarchy and detect
transitions from a lower resolution patch into a finer patch and improve interpolation at level
boundaries. Second, we focus on visualization of large-scale particle data sets. By
integrating the DOE Scientific Data Management (SDM) Center’s FastBit indexing
technology into VisIt, we are able to reduce particle counts effectively by
thresholding and by loading only those particles from disk that satisfy the
thresholding criteria. Furthermore, using FastBit it becomes possible to compute
parallel coordinate views efficiently, thus facilitating interactive data exploration
of massive particle data sets. |
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