[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!

-------------- 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