I wonder is there any opportunities to run the recursive backtracking
algorithm in parallel using multiprocessing? Looking at the code, I don't
see any obvious areas to parallelise... Though, even just starting two
instances searching from either end of the search space might help?

On 25 July 2010 14:53, Daniel Kersten <[email protected]> wrote:

> I'm ever so slowly working on two different things (though at the speed I'm
> going, I won't promise anything). One is a simulated annealing approach to
> solving the cube and the other is using pyglet and opengl to visualise the
> pieces in 3D. Not really putting too much effort into it at the moment, but
> having fun with it anyway :-) I suppose I should commit it to github, though
> its just tinkering and experimenting at the moment.
>
> 2010/7/25 Maciej Bliziński <[email protected]>
>
> 2010/7/24 Maciej Bliziński <[email protected]>:
>> > I also finished the code generating all the rotations and all the
>> > positions.  If you call the MatcherData() method of the AllTheWays
>> > class, you'll get the data ready for use for any solution seeking
>> > algorithm.
>>
>> I've made more progress: the first implementation of the recursive
>> backtracking search is working, albeit slowly.
>>
>> The existing code is here:
>> http://github.com/dublindan/pycon_cube/tree/visual-data
>>
>> The way to run the script is:
>> ./puzzle_tool.py -l
>>
>> So far, I haven't found a single solution.  What do you guys think
>> would be the best way to improve this program?
>>
>> Maciej
>>
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>
>
> --
> Daniel Kersten.
> Leveraging dynamic paradigms since the synergies of 1985.
>



-- 
Daniel Kersten.
Leveraging dynamic paradigms since the synergies of 1985.

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