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Added kshyatt's member talk

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Matthew McPherrin 2011-05-30 21:55:40 -04:00
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events.xml
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@ -48,6 +48,26 @@
More details to follow!
</abstract>
</eventitem>
<eventitem date="2011-06-09" time="4:30 PM" room="Location TBA"
title="General Purpose Computing on Graphics Cards">
<short>
GPGPU (general purpose graphics processing unit) computing is an
expanding area of interest, with applications in physics, chemistry,
applied math, finance, and other fields. nVidia has created an
architecture named CUDA to allow programmers to use graphics cards
without having to write PTX assembly or understand OpenGL. CUDA is
designed to allow for high-performance parallel computation controlled
from the CPU while granting the user fine control over the behaviour
and performance of the device.
In this talk, I'll discuss the basics of nVidia's CUDA architecture
(with most emphasis on the CUDA C extensions), the GPGPU programming
environment, optimizing code written for the graphics card, algorithms
with noteworthy performance on GPU, libraries and tools available to
the GPGPU programmer, and some applications to condensed matter
physics. No physics background required!
</short>
</eventitem>
<eventitem date="2011-06-03" time="7 PM" room="Comfy Lounge" title="Code Party 1">
<short>
The Computer Science Club is having our first code party of the term.