C, C++
- Developed code in C++ for an advanced implementation
of a training pod. A pattern was developed in
which each class capable of implementing a thread
provided a common interface. This allowed lists of
these objects to be dealt with in a generic manner.
- Provided C++ code which allowed parameters to be
introduced into code without any change to common
code. These parameters could be examined and
modified via a TCP/IP interface.
- Designed, coded, and tested software for a Air Force
training pod. Code was developed in C.
- Designed and coded communications software for a new
telephone subscriber line concentrator.
Implementation was done in C.
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C#, Java
- Used C# to provide a GUI interface with a prototype
embedded system.
- Used C# to create a workbench to make Python scripts
easier for systems engineers to code. This allowed
post-processing of test results to be facilitated.
- Provided Java code to stimulate and test the results
of an embedded controller.
- Wrote a calculator in Java to help with embedded
fixed point fractional arithmetic. Non-decimal
fractional results were provided, allowing easy
comparison of results with the embedded code.
- Wrote a video recorder in C# to capture video from a
custom camera and allow both display and disk logging of
the results.
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CUDA
- Successfully completed the proof of concept
implementation of a next generation electronic
counter-measure system which performed the required
signal processing in Nvidia CUDA cores, rather than FPGA
logic.
- This provided increased agility as well as simplified
debug capability.
- The multiple cores provided by the CUDA architecture
allowed throughput results previously achievable only
with FPGA solutions.
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Scripting Languages: Python, Perl
- Wrote Python scripts that ran on the PC, controlled
the target under test via a TCP/IP interface.
These provided simulated target data, requiring
mathematically complex calculations to be performed in
Python.
- Wrote a support tool in Perl which allowed systems
under test to be downloaded, controlled, and
sampled. This tool communicated with the device
under test either via local serial ports or utilized
TCP/IP sockets.
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Matlab
- Wrote MATLAB scripts to analyze and graph test
results. Use of MATLAB's 3D graphs allowed easy
interpretation of the results. These graphs were
logged facilitating regression analysis.
- Wrapped critical C functions in code that was able to
be called from MATLAB, permitting the simulation to use
the operational functions directly. This easy
tracking between the target code and the system
simulation model helped keep them in synch.
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