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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Physics-TWaP
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-2089
DTSTART:20110503T170000Z
DURATION:PT1H0M0S
DTSTAMP:20200714T174345Z
LAST-MODIFIED:20110121T172635Z
LOCATION:4274 Chamberlin Hall
SUMMARY:"GPU Accelerated Simulations of Chaotic PDEs"\, Chaos & Comple
x 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.

URL:https://wp.physics.wisc.edu/twap/?id=2089
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