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Matthew McPherrin 2011-05-30 21:57:36 -04:00
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events.xml
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@ -51,6 +51,12 @@
<eventitem date="2011-06-09" time="4:30 PM" room="Location TBA" <eventitem date="2011-06-09" time="4:30 PM" room="Location TBA"
title="General Purpose Computing on Graphics Cards"> title="General Purpose Computing on Graphics Cards">
<short> <short>
In the first of our member talks for the term, Katie Hyatt will give a
short introduction to General Purpose Graphics Processing Unit
computing. This expanding field has many applications. The primary
focus of this talk will be nVidia's CUDA architecture.
</short>
<abstract>
GPGPU (general purpose graphics processing unit) computing is an GPGPU (general purpose graphics processing unit) computing is an
expanding area of interest, with applications in physics, chemistry, expanding area of interest, with applications in physics, chemistry,
applied math, finance, and other fields. nVidia has created an applied math, finance, and other fields. nVidia has created an
@ -66,7 +72,7 @@
with noteworthy performance on GPU, libraries and tools available to with noteworthy performance on GPU, libraries and tools available to
the GPGPU programmer, and some applications to condensed matter the GPGPU programmer, and some applications to condensed matter
physics. No physics background required! physics. No physics background required!
</short> </abstract>
</eventitem> </eventitem>
<eventitem date="2011-06-03" time="7 PM" room="Comfy Lounge" title="Code Party 1"> <eventitem date="2011-06-03" time="7 PM" room="Comfy Lounge" title="Code Party 1">
<short> <short>