> I haven't had issues with them, even with high-performance stuff like gaming and CAD (can't speak much to machine learning, though).
Good to know. I have a laptop with the Ryzen 3500U and the Vega 8 integrated graphics. I love it for what I use it for (light gaming) but I'm not familiar with the higher-end mobile GPUs.
> What's stopping them from using OpenCL? Whether by using an ML library that actually supports OpenCL outright (e.g. Caffe, PlaidML) or using something like Hipify to convert from CUDA to OpenCL, that shouldn't be a limiting factor.
I assume just familiarity? That's just what the ML people that I know use.
I would really like to see OpenCL take a dominant position in the GPU compute space, regardless of the GPU manufacturer that has best support for it.
I think we're still a little ways off from a tipping point towards OpenCL. I think it will be accelerated with Intel's launch of the Xe discrete graphics.
Good to know. I have a laptop with the Ryzen 3500U and the Vega 8 integrated graphics. I love it for what I use it for (light gaming) but I'm not familiar with the higher-end mobile GPUs.
> What's stopping them from using OpenCL? Whether by using an ML library that actually supports OpenCL outright (e.g. Caffe, PlaidML) or using something like Hipify to convert from CUDA to OpenCL, that shouldn't be a limiting factor.
I assume just familiarity? That's just what the ML people that I know use.
I would really like to see OpenCL take a dominant position in the GPU compute space, regardless of the GPU manufacturer that has best support for it.
I think we're still a little ways off from a tipping point towards OpenCL. I think it will be accelerated with Intel's launch of the Xe discrete graphics.