On Tue, 02 Jan 2018 15:37:16 +0000 Yasunori Endo <jo7...@gmail.com> wrote:
> If the reason is just about human resources, > I'd like to try implementing GPU support on my NumPy fork. > My goal is to create standard NumPy interface which supports > both CUDA and OpenCL, and more devices if available. I think this initiative already exists ... something which merges the approach of cuda and opencl but I have no idea on the momentum behind it. > Are there other reason not to support GPU on NumPy? yes. Matlab has such support and the performances gain are in the order of 2x vs 10x when addressing the GPU directly. All the time is spent in sending data back & forth. Numba is indeed a good candidate bu limited to the PTX assembly (i.e. cuda, hence nvidia hardware) Cheers, Jerome _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion