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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-2089
DTSTART:20110503T170000Z
DURATION:PT1H0M0S
DTSTAMP:20260420T120302Z
LAST-MODIFIED:20110121T172635Z
LOCATION:4274 Chamberlin Hall
SUMMARY:GPU Accelerated Simulations of Chaotic PDEs\, Chaos & Complex 
 Systems Seminar\, Jon Seaton\, UW-Madison Dept. of Physics
DESCRIPTION:It is well known that chaos exists in systems of ordinary 
 differential equations (ODEs)\, however\, the study of chaos in partia
 l differential equations (PDEs) remains rather new and unexplored. Thi
 s is in part due to the computational resources needed to accurately s
 imulate such systems. However\, recent improvements of graphics proces
 sing units (GPUs) for use in general computing may provide a fast and 
 economical way to solve complex systems such as PDEs. This talk will d
 iscuss the development of an algorithm which both numerically solves a
 nd determines the existence of chaos in nonlinear PDEs while utilizing
  the multiprocessor architecture of the GPU. This new method will aid 
 in our search for simple examples of chaotic PDEs.<br>
URL:https://www.physics.wisc.edu/events/?id=2089
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