VISUALIZATION TECHNIQUES FOR LARGE DATASETS (No. 120)
TITLE:
VISUALIZATION TECHNIQUES FOR LARGE DATASETS (No. 120)
DATE:
Friday, September 1st, 2006
TIME:
3:30 PM
LOCATION:
GMCS 214
SPEAKER:
Carlos Bazan, CSRC, San Diego State University
ABSTRACT:
With the introduction of computer simulation and our ability to generate
enormous amount of data, visualization becomes a sine qua non component in
any scientific research. Our work over the summer was to combine the power
of a large parallel computer environment and the graphics acceleration
hardware of a local workstation, to device efficient techniques for
visualizing data generated by the “Numerical Simulation of a
Laboratory-Scale Turbulent V-Flame” by J.B. Bell et al. These researchers
are interested in further analysis of parameters such as flame front
curvature and flame surface density, both of which are very difficult to
achieve experimentally, and where 3D visualization can bring them closer to
the answer. Thus, our work focuses on specific visualization needs for this
particular research but is general enough to serve as guidelines for any
scientific research with large dataset.
HOST:
Peter Blomgren
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