(New page: 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...) |
m |
||
| Line 8: | Line 8: | ||
::Difference of Gaussian algorithm | ::Difference of Gaussian algorithm | ||
::Likelyhood ratio test algorithm | ::Likelyhood ratio test algorithm | ||
| + | [http://cobweb.ecn.purdue.edu/~vip/teams/GPU.html Click here] for VIP webpage | ||
Revision as of 11:35, 30 November 2009
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
Click here for VIP webpage
