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 Many graphics programs implement snapping to facilitate drawing. Snapping ensures that end-points of lines meet, that the endpoint of one line correctly "touches" another, that objects align side-to-side, etc. One problem of simple snapping techniques is that one cannot position objects arbitrarily close together - otherwise the snapping technique interferes. A novel snapping technique "Snap-and-Go" circumvents this problem by slowing the cursor over the line, instead of snapping it close to the line. The objective of this project is to implement several snapping techniques for two-dimensional drawing systems and then to perform an evaluation with a small user study.
-====== Simulation of a 6dof virtual reality tracker ======
-**Supervisor**: Wolfgang Stuerzlinger
-**Required Background**:  General CSE4080 prerequisites
-**Recommended Background**: CSE3431 or equivalent
-__Description__
-Previous work by the supervisor resulted in a novel and highly accurate Virtual Reality tracking system that matches or exceeds the specifications of all competing systems. However, this system works only in 5 or 6-sided immersive display environment.
-This project is the first step towards an adaptation of the technology for more general environments. In particular we target normal rooms and immersive displays with less than 5 screens. The technical work involves adapting the simulation software for the previous device to simulate a new design, and iteratively optimizing that design based on the results obtained.
-====== Programming Multi-Core GPUs with CUDA ======
-**Supervisor**: Franck van Breugel
-**Required background**: General prerequisites
-**Recommended background**: N/A
-__Description__
-CUDA stands for "compute unified device architecture."  It is an architecture to program multicore graphical processing units (GPUs for short).  In the past, these GPUs were only used for graphics. However, CUDA allows us to use these GPUs for other types of computation. Since today's GPUs have hundreds of cores, algorithms can be parallelized and, hence, run often much faster.
-The aim of this project is to get familiar with GPUs and to study how to program them.
-More details can be found at: [[http://www.cse.yorku.ca/~franck/projects/cuda.html]]
-(this link is only accessible from machines within the domain yorku.ca.)