[Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm
Juan Nunez-Iglesias
jni at fastmail.com
Mon Oct 21 03:33:22 EDT 2019
I have also used PyOpenCL quite profitably:
https://github.com/inducer/pyopencl <https://github.com/inducer/pyopencl>
I philosophically prefer it to ROCm because it targets *all* GPUs, including intel integrated graphics on most laptops, which can actually get quite decent (30x) speedups.
> On 19 Oct 2019, at 3:39 am, Pankaj Jangid <pankaj.jangid at gmail.com> wrote:
> I wonder why NVIDIA's approach is so widely accepted. Sometimes, I
> regret purchasing AMD GPUs. Not much support for them.
I agree. I am very disappointed by the NVIDIA monopoly in scientific computing. Resist!
Juan.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20191021/f41c3763/attachment.html>
More information about the NumPy-Discussion
mailing list