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
