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
    • Pick a problem from your thesis work and parallelize it
      • I will help you with the parallel algorithm design step.

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