Date: Sep 28, 2007
Time: 2:30 PM - 3:30 PM
Location: 256 Coates Hall
Dr. Bijaya Karki, Louisiana State University
Bio:
Dr. Karki received his doctorate from the University of Edinburgh, Edinburgh, UK. Before
joining the Department of Computer Science at Louisiana State University in 2003,
he worked as a research scholar at the University of Minnesota (Supercomputing Institute
for Digital Simulation and Advanced Computation) and also at Louisiana State University
(Biological Computation and Visualization Center). He is the recipient of National Science
Foudation CAREER award in 2004. He has been developing/applying a
metacomputing/visualization framework to address fundamental materials problems,
primarily, for important geophysical implications. He is also involved in the
establishment of VLab (funded by NSF ITR).
Abstract:
Ever-larger amounts of data related to various properties of materials are
routinely produced by parallel computer simulations, which are based on approaches
ranging from the semi-empirical methods to the sophisticated first-principles
quantum mechanical methods. The simulated data, which are time-dependent and
three-dimensional in the nature, are not illuminating by themselves; gaining
insight into and understanding them is, however, a nontrivial task. In order to
take advantage of maximal information contained in these data, we have been
developing a scalable adaptive visualization framework. Our approach aims to
fulfill domain-specific needs thereby justifying the effectiveness of visualization
for fundamental interdisciplinary science. In this talk, I will present our current
visualization activities, which include: Multiple dataset visualization based on
isosurface extraction and hardware-assisted texture mapping/clipping methods,
interactive atomistic visualization at space-time multi-resolution with on-the-fly
extraction/rendering of a variety of additional data needed for a complex
analysis, and remote/web portal visualization with online reposition of multivariate
elasticity data. While the talk will primarily focus on visualization, I will also
present a quick overview of other research components.
All are welcome to attend.
