On Dec 12, 3:27 pm, "David Cournapeau" <courn...@gmail.com> wrote:
> I want faster function > calls to use with numpy: do you know of any solution ? Pypy certainly > isn't, at least today. An interesting thing for numpy would be to use CUDA. If we can move floating point ops to the GPU, a common desktop computer could yield teraflops. A subclass of ndarray could be written for the nvidia GPU. Using OpenMP within NumPy would also be interesting. There are desktop computers available today with two quadcore processors. There is multiprocessing, which works nicely with numpy. You can even have multiple processes working on ndarrys that point to the same shared memory. Just allocate a multiprocessing.Array and use its buffer to create ndarray views. -- http://mail.python.org/mailman/listinfo/python-list
