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
Does anybody know of any plan to support ArrayFire in GLM or MixedModels
any time soon?
On Friday, June 10, 2016 at 1:08:42 AM UTC-4, ran...@juliacomputing.com
wrote:
>
> Hello,
>
> We are pleased to announce ArrayFire.jl, a library for GPU and
> heterogeneous computing in Julia: (
>
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,
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, ran...@juliacomputing.com
wrote:
>
>
That would need the capability of compiling arbitrary Julia functions for
the GPU.
If you remove the arbitrary (no allocations, no exceptions, no IO) and are
confident with trying out prototypes, this already exists for NVidia GPU's:
https://github.com/JuliaGPU/CUDAnative.jl
If you only have a
I have very little knowledge of GPU computing. Is it possible to use the
GPU for not just simple matrix operations, but for arbitrary functions? I
think I'm looking here for a GPU pmap(f, A), where f is a function I've
defined and A is some array with a few thousand elements.
On Saturday, June
Hey, I'm also giving a talk on ArrayFire.jl at JuliaCon 2016
too: http://juliacon.org/abstracts.html#ArrayFire. See how ArrayFire.jl is
useful in accelerating your code!
Thanks,
Ranjan
On Friday, 10 June 2016 10:38:42 UTC+5:30, ran...@juliacomputing.com wrote:
>
> Hello,
>
> We are pleased to
https://github.com/JuliaComputing/ArrayFire.jl/issues/40
From: julia-users@googlegroups.com [mailto:julia-users@googlegroups.com] On
Behalf Of Gabriel Goh
Sent: Friday, June 10, 2016 3:00 PM
To: julia-users <julia-users@googlegroups.com>
Subject: [julia-users] Re: ArrayFire.jl
is there windows support? I have a pretty beefy gaming PC
On Thursday, June 9, 2016 at 10:08:42 PM UTC-7, ran...@juliacomputing.com
wrote:
>
> Hello,
>
> We are pleased to announce ArrayFire.jl, a library for GPU and
> heterogeneous computing in Julia: (
>
Some computers have more than one graphics card and the more powerful one
needs to be activated manually. I know that's the case on my macbook.
On Fri, Jun 10, 2016 at 10:20 AM, Robert Feldt
wrote:
> Great thanks. I suggest a comment about this or changing the example in
Great thanks. I suggest a comment about this or changing the example in the
README so it's more clear to people like me... ;)
/Robert
>
>
On Fri, 2016-06-10 at 16:14, Robert Feldt wrote:
> Thanks, this looks really nice.
>
> I seem to be able to install it ok but when trying to run on a fairly
> recent MacBook Pro (Retina, 13-inch, Early 2015) I get an error when trying
> this on julia Version 0.4.5
Thanks, this looks really nice.
I seem to be able to install it ok but when trying to run on a fairly
recent MacBook Pro (Retina, 13-inch, Early 2015) I get an error when trying
this on julia Version 0.4.5 (2016-03-18 00:58 UTC)
x86_64-apple-darwin15.4.0:
julia> using ArrayFire
julia>
You need to install the arrayfire library by hand:
https://github.com/JuliaComputing/ArrayFire.jl#installation
If done already, check the trouble shooting section.
On Fri, 2016-06-10 at 12:10, Fred wrote:
> Hi !
>
> Thank you for this great package ! I tried to install
Hi !
Thank you for this great package ! I tried to install it on Julia 0.4.5 but
I obtained :
julia
_
_ _ _(_)_ | A fresh approach to technical computing
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