I have code to donate too. My time is also way too limited and until Julia 
can created compiled DLLs/so I can't justify working on this for work.

On Saturday, April 19, 2014 1:28:18 PM UTC-4, Simon Danisch wrote:
>
> Sounds great!
> Good GPGPU support should be a focus of every scientific programming 
> language!!
> Shouldn't OpenGL be part of this, though?
> Modern OpenGL goes more and more into the direction of GPGPU and it should 
> work hand in hand with any GPGPU package.
> If so, I'd have a few packages.
>
> But my situation is very similar at the moment.
> I've close to 0 time at the moment, as a few deadlines for my thesis and 
> exams are approaching rapidly.
>
> Best,
> Simon
>
> Am Samstag, 19. April 2014 04:08:24 UTC+2 schrieb Dahua Lin:
>>
>> Currently, there have been some independent efforts to develop Julia 
>> packages for GPU computing, which particularly include:
>>
>>    - CUDA.jl <https://github.com/lindahua/CUDA.jl>
>>    - CUDArt.jl <https://github.com/timholy/CUDArt.jl>
>>    - OpenCL.jl <https://github.com/jakebolewski/OpenCL.jl>
>>    - CUFFT.jl <https://github.com/timholy/CUFFT.jl>
>>    
>> and probably some others.
>>
>> I do really wish to contribute more to the Julia community. However, 
>> working in academia, my time for doing this is really limited (due to 
>> responsibilities to do many less exciting stuff, e.g. writing grant 
>> proposals, academic traveling, and participating in various committees)
>>
>> With the limited time, I have to focus on a small number of packages, 
>> particularly those under JuliaStats. Therefore, I am not able to spend 
>> enough time to keep some other packages up to date (e.g. CUDA.jl). 
>> Recently, I proposed to move the ownership to 
>> JuliaLang<https://github.com/lindahua/CUDA.jl/issues/3>, 
>> in order to invite broader efforts. In his response, Stefan suggested that 
>> we create a new organization JuliaGPU. I think it is a good idea.
>>
>> If people think this is a great idea, I will create this organization and 
>> invite other developer to manage it together.
>>
>> Best,
>> Dahua
>>
>>

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