A Thursday 10 September 2009 11:37:24 Gael Varoquaux escrigué: > On Thu, Sep 10, 2009 at 11:29:49AM +0200, Francesc Alted wrote: > > The point is: are GPUs prepared to compete with a general-purpose CPUs > > in all-road operations, like evaluating transcendental functions, > > conditionals all of this with a rich set of data types? I would like to > > believe that this is the case, but I don't think so (at least not yet). > > I believe (this is very foggy) that GPUs can implement non trivial logic > on there base processing unit, so that conditionals and transcendental > functions are indeed possible. Where it gets hard is when you don't have > problems that can be expressed in an embarrassingly parallel manner.
But NumPy is about embarrassingly parallel calculations, right? I mean: a = np.cos(b) where b is a 10000x10000 matrix is *very* embarrassing (in the parallel meaning of the term ;-) Anyone here can say how the above operation can be done with GPUs? (and providing some timings would be really great :) -- Francesc Alted
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