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{\Large
  The Department of Computer Science and Engineering\\
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  University of Nevada, Reno
}

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{\large cordially invites you to a Master's colloquium}

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{\huge \bf 
A Comparison of Massively Parallel Programming
Models \\ Through Applications in \\ \vspace{0.08in} Sound Propagation 
and Jitter
Measurement
}

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A thesis submitted in partial fulfillment of the\\
requirements for the degree of Master of Science\\
in Computer Science and Engineering.

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by

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{\LARGE Torbj{\o}rn Panton L{\o}ken}

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\noindent
{\bf Abstract:}
{

As the era of Moore's Law and increasing CPU clock rates nears its stopping
point the focus of chip and hardware design has shifted to increasing the number of
computation cores present on the chip. This increase can be most clearly seen in
the rise of Graphic Processing Units (GPU) where hundreds or thousands of slower
cores work in parallel to accomplish tasks. Programming for these chips represents
a new set of challenges and concerns. Two of the APIs which have emerged present
two different approaches to harnessing the computational power of the GPU. The
first explored in this thesis, CUDA, applies a design philosophy similar to the C
programming language, low level and high speed. The second discussed in this thesis,
Thrust, is modeled after the design philosophy behind the C++ Standard Template
Library, low cost abstractions and high 
exibility. This thesis explores applications
which use these programming models in the quest to understand the reasons behind
their use.
}
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{\Large \bf 2:30 pm, Wednesday, May 7, 2014}\\
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{\Large Scrugham Engineering and Mines (SEM) room 201}

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{\large
  For more information contact
  Dr. Fred Harris @ 784-6571 (Fred.Harris@cse.unr.edu)
}


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