On Friday, August 26, 2016 at 6:08:13 PM UTC-5, Min-Woong Sohn wrote: > > Does anybody know of any plan to support ArrayFire in GLM or MixedModels > any time soon? >
Do you have a particular application in mind or is this a general question? For MixedModels I would say that, depending upon the configuration of the random-effects terms in a model there could be a great advantage or almost no advantage in using a GPU, so details are important. We're always looking for challenging GLM or mixed-effects problems that can be used to tune up these packages. If you have cases that seem to be taking a long time and would be suitable for parallel or GPU computing we would love to hear about them. > On Friday, June 10, 2016 at 1:08:42 AM UTC-4, [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. >> >
