Matthew Brett, on 2009-08-21 11:51, wrote: > Hi, > > > Indeed. In the future, if OpenCL is the way to go, it may even be > > helpful to have Numpy using OpenCL directly, as AMD provides an SDK > > for OpenCL, and with Larrabee approaching, Intel will surely provide > > one of its own. > > I was just in a lecture by one of the Intel people about OpenCL: > > http://parlab.eecs.berkeley.edu/bootcampagenda > http://parlab.eecs.berkeley.edu/sites/all/parlab/files/OpenCL_Mattson.pdf > > He offered no schedule for an Intel OpenCL implementation, but said > that they were committed to it. > > The lectures in general were effective in pointing out what a > time-consuming effort it can be moving algorithms into the the > parallel world - including GPUs. The lecture just passed cited the > example of a CUDA-based BLAS implementation on the GPU that was slower > than the CPU version. Making BLAS go faster required a lot of work > to find optimal strategies for blocking, transfer between CPU / GPU > shared memory / GPU registers, vector sizes and so on - this on a > specific NVIDIA architecture. > > I can imagine Numpy being useful for scripting in this > C-and-assembler-centric world, making it easier to write automated > testers, or even generate C code. > > Is anyone out there working on this kind of stuff? I ask only because > there seems to be considerable interest here on the Berkeley campus.
This is exactly the sort of thing you can do with PyCUDA, which makes it so awesome! <http://mathema.tician.de/software/pycuda> In particular, see the metaprogramming portion of the docs: <http://documen.tician.de/pycuda/metaprog.html> The metaprogramming section of the slides and source code from Nicolas Pinto and Andreas Klöckner *excellent* SciPy2009 Tutorials is even more thorough: <http://conference.scipy.org/static/wiki/scipy09-pycuda-tut.pdf> <http://conference.scipy.org/static/wiki/scipy09-pycuda-tut.tar.gz> cheers, Paul Ivanov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion