Hi Adam, 

 working on other parts of the library as well would be great but for now I need to focus on the R-Tree (time constraints prohibit doing otherwise). I believe beginning with bug fixes and studying is the way to learn. Once I acquire sufficient knowledge of the library (~month considering that summer holidays are upon us) I'd like to work on balancing/packing algorithms. Also serialization and support for external memory algorithms is an interesting topic, but I believe I'll have a better insight only after the ~month learning period. 
 As for things related to my thesis, if there's a plan to incorporate GPU computing to the library (especially now that "boost.compute" seems to be able to make it into boost) I'd be happy to work on implementations and propose algorithms there as well; I attached a small presentation-survey project (skip to section 4, the initial part is just introduction to RTrees) where you can see areas of application for GPUs and references to some papers on the topic.  
 I'll be expecting guideliness on how to work on bug fixes (or priorities therein - hopefully sorted by ascending difficulty :P )

Regards, 
Nikos Athanasiou

2015-07-14 20:15 GMT+03:00 Adam Wulkiewicz <adam.wulkiewicz@gmail.com>:
Hi Nikos,

Νικόλαος Αθανασίου wrote:
hello to everyone, 


I've been a user of boost geometry since its first release. I'm now completing my postgratuate studies on computer science and my master thesis will be on spatial indexing (mostly R-Trees on GPUs).  I plan to work on implementations as well. Could I be of any help? 
I initiallly reached Adam Wulkiewicz via my SO account Nikos Athanasiou. To introduce myself I'll place here my linkedin account http://gr.linkedin.com/pub/nikolaos-athanasiou/70/533/11b and my blog https://ngathanasiou.wordpress.com/


Thanks for contacting us here! Any help is appreciated, there is a lot things that can be done. Do you have some ideas, plans, what would you like to do? Do you prefer working on the R-tree or other parts of the library? If the R-tree is your preference, would you like to propose some addition related to your master thesis or implement some other things like serialization, (persistent) storage, additional balancing or packing algorithm, etc. ? Or would you prefer helping us with improving the "main" part of the library e.g. by adding the missing support for non-carteian coordinate systems or improving the support for 3D cartesian, etc. ? Or would you like to start from learning about the internals e.g. by fixing some bugs?

Regards,
Adam

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