The goal of this course is to utilize the supercomputing power of programmable PC graphics cards (Graphics Processing Units-GPUs) for scientific, entertainment, and management applications.

The topics for class projects includes the following:

  • Data prepresentation methods
Sparse matrix representation and multiplication
  • Data Analysis algorithms
Kernel Density Estimation algorithm
Distance map generation algorithm
Difference of Gaussian algorithm
Likelyhood ratio test algorithm

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Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn