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NUMERICAL MODELING OF SPACE PLASMA FLOWS// ASTRONUM-2009
Proceedings of the 4th International Conference
ASP Conference Series, Vol. 407, 2010
*NAMES OF EDITORS**
Recent Advances in VisIt: AMR Streamlines and
G. H. Weber,1,2 S. Ahern,3 E. W. Bethel,' S. Borovikov,4
H. R. Childs,1,2 E. Deines,2 C. Garth,2 H. Hagen,5,2 B. Hamann,2,"
K. I. Joy,2," D. Martin,' J. Meredith,3 Prabhat,' D. Pugmire,3
0. Riibel,",2,5 B. Van Straalen,' and K. Wu'
'Computational Research Division, Lawrence Berkeley National
Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA
2Institute for Data Analysis and Visualization, Department of Computer
Science, University of California, Davis, One Shields Avenue, Davis,
CA 95616, USA
3Oak Ridge National Laboratory, PO Box 2008, Oak Ridge, TN
4Center for Space Plasma and Aeronomic Research, The University of
Alabama in Huntsville, 320 Sparkman Drive, Huntsville, AL 35899
5International Research Training Group 1131, Technische Universitdt
Kaiserslautern, Erwin-Schroodinger Strafe, D-67653 Kaiserslautern,
Abstract. Adaptive Mesh Refinement (AMR) is a highly effective method for
simulations spanning a large range of spatiotemporal scales such as those en-
countered in astrophysical simulations. Combining research in novel AMR visu-
alization algorithms and basic infrastructure work, the Department of Energy's
(DOEs) Science Discovery through Advanced Computing (SciDAC) Visualiza-
tion 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 com-
putation methods that properly handle multi-domain data sets and utilize ef-
fectively 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 inter-
polation 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 parti-
cle counts effectively by thresholding and by loading only those particles from
disk that satisfy the thresholding criteria. Furthermore, using FastBit it be-
comes possible to compute parallel coordinate views efficiently, thus facilitating
interactive data exploration of massive particle data sets.
Adaptive Mesh Refinement (AMR) (Berger & Colella 1989) plays an increasingly
important role in astrophysical simulations. In general, AMR techniques have
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Weber, Gunther; Ahern, Sean; Bethel, Wes; Borovikov, Sergey; Childs, Hank; Deines, Eduard et al. Recent Advances in VisIt: AMR Streamlines and Query-Driven Visualization, article, November 12, 2009; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc1013741/m1/1/: accessed December 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.