Thanks for this great package Ranjan. I'd like to contribute to the development -- in particular integration with CUDNN, CUSPARSE, etc. under the JuliaGPU ecosystem, if others have not started doing so already. With CUDNN, for example, I wrapped the low level library code to use CudaArrays, then implemented a high level interface. Do you see a problem using AFArrays in the same way using kernels from other libraries or custom kernels? Also I am not sure about the right place for this cross library support: should it go under ArrayFire.jl or CUDNN.jl?
best, deniz On Monday, June 20, 2016 at 10:46:24 PM UTC+3, Kaj Wiik wrote: > > > For anyone trying to get things working in Ubuntu (Xenial) environment... > > I could not get ArrayFire.jl working with the binary libraries, compiling > from source was quite easy and everything works now fine. > > On Friday, June 10, 2016 at 8:08:42 AM UTC+3, [email protected] > wrote: >> >> Hello, >> >> We are pleased to announce ArrayFire.jl, a library for GPU and >> heterogeneous computing in Julia: ( >> https://github.com/JuliaComputing/ArrayFire.jl). We look forward to your >> feedback and your contributions as well! >> >> For more information, check out Julia Computing's latest blog post: >> http://juliacomputing.com/blog/2016/06/09/julia-gpu.html >> >> Thanks, >> Ranjan >> Julia Computing, Inc. >> >
