Project Topics 2014

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.
  • Have a scan of the recent conferences and journals for something that interests you.
  • Do the one page write-up (with references into the liturature) and discuss it with me.
• Here are some topics that I am interested in and could give you some support with:
  • Bleeding Edge Architecutres
    • Neteeza
    • Phi
    • Nvidia Tesla
  • Applications/Algorithms in
    • Text Analytics
    • Machine Learning
  • Performance Tuning Frameworks
    • A Performance Tuning Framework for GPUs
    • A Performance Tuning Framework for Multicore Sceintific Codes
    • A Performance Tuning Framework for Cloud based applications
  • Take an online Parallel Course
    • GPUs: https://www.udacity.com/wiki/cs344
    • MPI: ?
    • OpenMP: ?
    • MapReduce: ?
  • Pick a problem from your thesis work and parallelize it
    • I will help you with the parallel algorithm design step.