[mlpack] GSoC Project Idea

[Akshay]

Hello,

I want to discuss the idea of parallelizing some of the already implemented
algorithms using OpenCL. I have prior experience with OpenCL and its C++
bindings, and have developed a parallelized implementation of KMeans
clustering.
OpenCL is traditionally for GPU computing but, in my experience it can also
drive multi-core CPUs to full load for significant speedups. Algorithms
consuming large data simultaneously(like kmeans) can benefit greatly.
Also the base implementation of algorithms could be used as ground truth
which should be useful in debugging the parallel version.

I am also well versed in the standard ML techniques and statistics through
MOOCs and course projects, and I'm willing to go further.

Eager to hear what you think.

Thank You
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.cc.gatech.edu/pipermail/mlpack/attachments/20130411/d3a7e7c9/attachment.html>