Project Topics 2013

In groups of 1 or 2  students will complete a major course project on an approved topic. Groups may either develop a topic of their own, perhaps connected to their thesis topic and have it approved by the instructor or may selected from the list of suggested topics below.

• Pick a topic that interests you:
  • The best topics involve some algorithms desesign, an implementation, and a performance evaluation.
  • Pick a subject area that you know something about. Something to do with your thesis or interests in computing works well.
  • Do the one page write-up and discuss it with me.
  • Have a scan of the recent conferences and journals for something that interests you.
• Here are some topics that I am interested in and could give you some support with:
  • Coarse Grained Risk Analytics
  • Ecology Simulator: Performance on multicore or Intel Phi
  • Cat Modeling on Neteeza
  • Text Mining on Neteeza
  • Intel Phi
  • Hadoop Text Analytics
  • Deep belief Networks in parallel (GPU, Phi, or Cluster)
  • Cloud Scale Application: CR-OLAP
  • High Performace Comuting in Java.
  • Monte Carlo Simulations on GPUs: Monte Carlo Style models seem on the surface well suited to GPU architectures. Design, implement, and evaluate a Monte Carlo Simulation framework for GPUs.