Can the combo of PyCall in Julia be Interfaced with PyCUDA effectively !!
On Friday, April 11, 2014 9:31:16 PM UTC+5:30, Jake Bolewski wrote: > > Hi Gexarcha, > > I'm the author of the OpenCL package for Julia. Although things have > stalled lately do to other commitments, I think we are slowly building a > pretty good story at least on the OpenCL side. I know that the library has > already been used sucesfully in a handful of reasearch projects. Right > now I'm working on finishing up Image and OpenGL support, which are last > missing features in the OpenCL bindings. I've implemented wrappers for > CLFFT and another contributor has preliminarily CLBLAS bindings. As I > wrote in the GSOC project proposal, I think what we are missing is an GPU > Array datatype similar to what you get with PyCuda / PyOpenCL. I hope to > work on that in the future but impementing rich mulit-dim array support is > a lot of work. > > I've experimented with compiling Julia's lowered AST down to OpenCL. It > works, but larger kernels quickly cause register pressure leading to a drop > in performance over what you would get if you wrote the kernel by hand. > I'm eagerly waiting to hear any results from the ptx backend, as compiling > down to llvm ir / ptx would seem more efficient. However, the authors of > Numba's (python) cuda jit compiler have stated that you ususally get a > performance loss of 2x+ over hand written kernels with their library, so > there seems to be a lot of room for improvment in this area. > > Jake > > I am trying to figure out what kind of options do I have for utilizing the > GPU for high performance computing in Julia. > I have seen some old > threads<https://groups.google.com/forum/#%21msg/julia-dev/YeF2mu2Ii-k/zcr78Ml_6IIJ>discussing > an nvptx backend and the CUDA.jl package. I would like to know > if there is any other effort out there dealing with GPU computing. Also, > does anybody know if there is a plan of integrating GPU support in the > language? > Thanks! > On Friday, April 11, 2014 10:47:41 AM UTC-4, andrew cooke wrote: >> >> >> it's included at http://julialang.org/gsoc/2014/ >> >> On Friday, 11 April 2014 05:09:11 UTC-3, gexarcha wrote: >>> >>> Hi, >>> >>> I am trying to figure out what kind of options do I have for utilizing >>> the GPU for high performance computing in Julia. >>> I have seen some old >>> threads<https://groups.google.com/forum/#!msg/julia-dev/YeF2mu2Ii-k/zcr78Ml_6IIJ>discussing >>> an nvptx backend and the CUDA.jl package. I would like to know >>> if there is any other effort out there dealing with GPU computing. Also, >>> does anybody know if there is a plan of integrating GPU support in the >>> language? >>> Thanks! >>> >>> - Georgios >>> >>
