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 > >
