<#part sign=pgpmime> On Wed, 4 Apr 2012 19:47:08 +0200, Francisco Villaescusa Navarro <villaescusa.franci...@gmail.com> wrote: > Hi, > > I have been writing some lines for a project regarding management of > pretty large data sets. I have been trying to simplify the problem as > much as possible to understand where the problem is since I got wrong > results. > > The simplification of the problem is the following: > > I have a pretty long array of data containing numbers in a given > interval (let's suppose between 0.0 and 1.0), for example > > total_numbers=10000 > np.random.random(total_numbers).astype(np.float32) > > I would like make a histogram of those data. I was wondering which > would be the best strategy to achieve this in PyCUDA.
http://lmgtfy.com/?q=cuda+histogram :) (Nothing special about *Py*CUDA in this instance. In particular, there's no canned functionality that will do this for you.) HTH, Andreas _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
