Re: [Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm

Juan Nunez-Iglesias writes: > I have also used PyOpenCL quite profitably: > > 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

Re: [Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm

I have also used PyOpenCL quite profitably: 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

Re: [Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm

Hameer Abbasi writes: > There's ClPy for OpenCL: https://github.com/fixstars/clpy > Also this pull request for CuPy (merged, but as yet unreleased): > https://github.com/cupy/cupy/pull/1094 > This is great hope. Thanks for sharing this. I wonder why NVIDIA's approach is so widely accepted. Some

Re: [Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm

Hello Pankaj, There's ClPy for OpenCL: https://github.com/fixstars/clpy Also this pull request for CuPy (merged, but as yet unreleased): https://github.com/cupy/cupy/pull/1094 Best regards, Hameer Abbasi On 18.10.19, 12:53, "NumPy-Discussion on behalf of Pankaj Jangid" wrote: Is there a

[Numpy-discussion] Recommended way to utilize GPUs via OpenCL, ROCm

Is there an officially recommended way to utilize AMD GPUs via OpenCL, ROCm? I came across ROCm website https://rocm.github.io/. This has Tensorflow and PyTorch versions for using AMD GPUs. Just wanted to know if there is a way to use my AMD GPUs for NumPy calculations. -- Regards, Pankaj Jangid