[mlpack-svn] [MLPACK] #179: Design parallelization framework

[MLPACK Trac]

#179: Design parallelization framework
----------------------+-----------------------------------------------------
 Reporter:  rcurtin   |        Owner:                 
     Type:  wishlist  |       Status:  new            
 Priority:  major     |    Milestone:  MLPACK 2.0.0   
Component:  MLPACK    |     Keywords:  parallelization
 Blocking:            |   Blocked By:                 
----------------------+-----------------------------------------------------
 This is a master ticket designed to encompass the big 2.0 feature:
 parallelization.  Before this ticket is done:

  * A framework for parallelization must be found
  * This framework must be applied to each method

 The framework we use should, ideally, make parallelization of the
 algorithm easy and fairly transparent to the developer.  They should not
 have to write workers, threads, callbacks, so on and so forth; they should
 be able to simply specify somehow that some particular loop could be
 parallelized... or something.

 I seem to understand OpenMP is a decent framework for something like this,
 but I know so little about parallelization that I am not certain if what
 we are looking for is really possible at the moment.

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/179>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed by the FASTLAB at Georgia Tech under Dr. Alex Gray.