🚀 go-pugleaf

University of Colorado at Boulder
Department of Computer Science
ECOT 717 Engineering Center
Campus Box 430
Boulder, Colorado 80309�0430
(303) 492�7514, FAX: (303) 492�2844

CS COLLOQUIUM

Intelligent Systems:  Near and Far
Michael Burl
Terascale Spectral Element Simulations
Henry Tufo
University of Colorado
Department of Computer Science

Thursday, January 16th, 2003
3:30 � 4:30 PM
Engineering Center Classroom 265

Intelligent Systems:  Near and Far
New algorithms and increased computing power are enabling the 
development and deployment of intelligent systems that can sense, 
understand, and interact with their environment. A fundamental challenge 
in this endeavor is to reliably extract relevant symbolic "knowledge" 
from large volumes of sensor data. This talk will provide an overview of 
some of my prior work in this area, which draws upon techniques from 
machine learning, statistics, signal processing, and computer vision. 
Applications include mobile robotics, scientific data mining, detecting 
explosives using an "electronic nose", and enabling a spacecraft to 
autonomously locate and respond to planetary features.

Terascale Spectral Element Simulations
The spectral element method is a weighted residual approach that employs 
Nth-order tensor-product polynomial bases (typ., N = 5-15) within K 
deformable subdomains. This approach combines the accuracy and 
efficiency of spectral methods with the geometric flexibility of finite 
elements.  Because of its low numerical dispersion and dissipation, the 
method is ideal for the simulation of transitional and weakly turbulent 
flows. We begin with an overview of the method and then focus on the 
algorithms and implementations that have resulted in terascale
performance (1.25 Tflops on 512 nodes of Lemieux at PSC).  We conclude 
with a description of current research plans and results from a series 
of challenging problems in fluid mechanics.

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http://www.cs.colorado.edu/department/events/colloquia/colloquia.html

Sign Language Interpreters Available Upon Request.  Please contact 
Stephanie Morris, Department of Computer Science, Engineering  ECOT 722, 
303-492-6101, at least five days prior to the colloquium.

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