On Mon, Oct 29, 2012 at 11:53 AM, Henry Gomersall <h...@cantab.net> wrote: > On Mon, 2012-10-29 at 11:49 -0400, Frédéric Bastien wrote: >> That is possible. >> > Great!
Just to be clear, I mean this is possible to make it work. We do not do that for now. Also, sharing the memory on the CPU and GPU is not trivial if we want that to be efficient. So I would be surprised that we make it work except by copy when needed. Most of the time, if the data is on the GPU, it will be better to keep it there, as the transfer overhead will probably be too high to gain efficiency by using the GPU. >> The gpu nd array project I talked above work on the CPU and the GPU in >> OpenCL and with CUDA. But there is much stuff that is in numpy that we >> didn't ported. > > This is: https://github.com/inducer/compyte/wiki right? yes >> >> We started integrating it into Theano. So this mean the GPU code from >> Theano will be ported to this project, so there will be more code >> available later. >> >> If some people are willing to help/collaborate don't hesitate. I think >> we should collaborate much more on GPU/OpenCL code then we do now. >> That was part of the goal of gpu nd array. There is the PyCUDA and >> PyOpenCL authors that also collaborate with us. > > I'm interested, but somewhat an opencl rooky with limited time! I'll > have a play when I have a moment. Great. I think that people work better when they work on stuff that motivate them. If you have any algo event if simple that you want to work on do not hesitate. Fred _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion