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Research:
Dr.
Cavazos' Research Lab (high-performance
computing, cybersecurity, machine learning,
predictive analytics, and the application of
these technologies to hard problems that if
solved will make a societal and/or industrial
impact): June 2009 – May 2015
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Worked on code
transformations to optimize CUDA kernels which
are run on the GPU, including using different
modes of storage (local memory, shared memory,
and registers) and loop unrolling, and applying
these transformations to optimize CUDA belief
propagation implementation.
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Worked on framework
to generate code transformations to optimize any
given CUDA or OpenCL program using directives in
the HMPP toolkit from CAPS Enterprise.
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Worked on using GPUs
to speed up financial applications using native
CUDA/OpenCL and also using OpenACC and HMPP
directives.
Video/Image
Modeling
and Synthesis Laboratory (run by Dr.
Chandra
Kambhamettu): September 2006-June 2009
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Worked on
tracking the motion of sea ice from Satellite
Imagery, traveled to
APLIS '07 ice camp in the arctic.
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Implemented
stereo/motion algorithms with the goal of
tracking cloud motion from a
sequence of satellite imagery, with a focus on
taking advantage of the
GPU to allow the results to be processed in
real-time.
Research
as
part
of course projects:
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Implemented
photon mapping on the GPU using CUDA as a
project for an advanced
graphics course entitled 'Rendering and
Image
Synthesis'.
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Programmed a CUDA
implementation of autostereoscopic image
generation using a light field for a
Computational Photography course.
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