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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