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: > > (Reposted from julia-dev I was told that julia-user was a > more appropriate place to have this thread.) > > Hi, I'm an undergraduate student and I've been using Julia since 2013. > I've been trying to use the GPU seamlessly for projects involving Julia > matrices. For that end, I have started working on my own OpenCL BLAS Julia > library to test the clBLAS library at the lowest level possible for the GPU > with the OpenCL C library. > > Here's a link to my project: https://github.com/mikhail-j/OpenCLBLAS.jl > > This project has been tested on a NVIDIA GTX 780 Ti. > > Any suggestions on what I can do to improve the state of GPU integration > with Julia? >
