Hey,
I am one of the maintainers of OpenCL.jl and I would recommend you to look
at https://github.com/JuliaGPU/OpenCL.jl, https://github.com/JuliaGPU/CLFFT.jl,
and https://github.com/JuliaGPU/CLBLAS.jl.
We welcome any improvements and help. I can only speak for myself in that
most of the
I've noticed that there are computer owners who only have access to an AMD
GPU (Mac Pro 2013, 2015 iMac) and wish to tap into their GPUs for extra
processing power for machine learning applications.
cuBLAS won't help them and it appears that the state of out of the box
(without much
I think the GPU integration libraries for Julia are already really good if
you're using CUDA. CUDArt.jl and Arrayfire.jl work quite well. I don't know
too much about the OpenCL side, but I don't tend to have a use for it.
On Monday, April 25, 2016 at 6:06:10 PM UTC-7, Michael Jin wrote:
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