CK as standard package in Python/Debian (help request)

[Grigori Fursin]

Dear colleagues,

 

Just a note that we added Collective Knowledge framework

to PyPi and Anaconda archives.

 

Now it should be possible to install CK simply via:

$ pip install ck

or

$ conda install -c https://conda.anaconda.org/gfursin ck

 

The idea is to really minimize set up time for researchers

before prototyping their ideas and sharing experimental results.

 

For example, on Linux with GCC, it should take just 3 steps

to compile and run a given shared benchmark:

$ ck pull repo:ctuning-benchmarks

$ ck compile program:cbench-automotive-susan --speed

$ ck run program:cbench-automotive-susan

 

Similarly, it is possible to run various shared scenarios

(including compilation on Windows, cross-compilation for

Android, multi-objective autotuning, predictive analytics,

compiler bug detection) as described here:

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

 

We also started adding CK to Debian,

but encountered a few issues:

https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=799268

 

We are not yet very familiar with all the details of

Debian packaging system, so if someone would like

to help with that, please get in touch – we will really

appreciate your help!

 

Thanks,

Grigori