stable release with the support for experiment crowdsourcing

This version includes many minor fixes and improvements based on your feedback. It also includes various support for collaborative experimentation.

For example, it is now possible to crowdtune GCC and LLVM optimizations and combine it with online learning using mobile devices, laptops and data centers. Check out latest public optimization results here:

• http://cTuning.org/crowd-results

You can participate in such collaborative program optimization and machine learning either using Android app:

• https://play.google.com/store/apps/details?id=openscience.crowdsource.experiments

or using CK installed on Linux or Windows via:

$ ck pull repo:ck-crowdtuning
$ ck crowdtune program
$ ck crowdtune program --llvm --quiet
$ ck crowdtune program --gcc --quiet

More collaborative optimization scenarios to come soon (OpenCL/CUDA/MPI crowdtuning, collaborative benchmarking, scalability testing, numerical stability analysis, etc)! Check out this page for more details:

• http://github.com/ctuning/ck/wiki/Crowdsource_Experiments