Thanks to all of you. Thank you Iain, Elliot and Eric. :D I am now starting with Julia. The use of MPI is natural in Julia?
2014-02-12 16:46 GMT-03:00 Eric Davies <[email protected]>: > It looks like there's a reason for that, and it relates to the different > way cuBLAS handles memory. See more info here: > http://stackoverflow.com/a/18820210/931700 > > You can try linking with the thunking library and see if there is still > any improvement. > > > On Wednesday, 12 February 2014 13:02:41 UTC-6, Elliot Saba wrote: > >> As far as I know, nobody has tried this before. It looks like cuBLAS does >> not >> conform<http://docs.nvidia.com/cuda/cublas/#cublas-level-2-function-reference>to >> the standard BLAS API, (e.g. their functions, instead of being named >> something like dgemv() are named cublasDgemv(), and take two extra >> parameters at the beginning) so you won't be able to just plug the cuBLAS >> shared library into Julia have have it "work". You will need to write some >> kind of wrapper library around cuBLAS that does any special >> initialization/cleanup that cuBLAS needs, as well as mapping "standard" >> BLAS library names to cuBLAS library names. >> >> A project similar in spirit was the libgfortblas >> library<https://github.com/JuliaLang/julia/blob/master/deps/gfortblas.c>that >> Jameson wrote, to map our C calls to the cblas versions of Apple's >> BLAS libraries. Looking at that could provide some inspiration for this >> project, as it does pretty much everything I outlined above, except that >> cuBLAS will (of course) require more work, as you'll need to wrap basically >> the entire library instead of just a few functions. >> >> >> On Wed, Feb 12, 2014 at 9:53 AM, Pedro Rafael <[email protected]>wrote: >> >>> Many thanks Iain Dunning. You have been very enlightening. Can we link >>> the library cublas Julia? >>> >>> cuBLAS: https://developer.nvidia.com/cuBLAS >>> >>> >>> Hugs, >>> Pedro Rafael. >>> >>> >>> 2014-02-12 14:28 GMT-03:00 Iain Dunning <[email protected]>: >>> >>> 1. I think the default is to use OpenBLAS on all platforms, but this can >>>> be swapped out if you'd like to use a different BLAS implementation. >>>> 2. I believe it already is. The core language certainly is, the rest is >>>> just a package ecosystem issue. We have database packages, graphics >>>> packages, web/internet packages, etc. - a good sign that it is >>>> "general-purpose". >>>> 3. I imagine use of the GPU in core Julia is a long way off or ever - >>>> but I'm sure there will be more and more packages that do clever things in >>>> this area. There certainly is a lot of interest in this area. We have CUDA >>>> and OpenCL packages for now, at least. >>>> >>>> >>>> On Wednesday, February 12, 2014 12:16:05 PM UTC-5, Pedro Rafael wrote: >>>>> >>>>> [1] The installation of Julia from the compilation of the source code >>>>> makes use of OpenBlas library? >>>>> [2] Julia will also be a general-purpose language like Python? >>>>> [3] The use of GPU in the future will be native? >>>>> >>>>> Regards, >>>>> Pedro Rafael Diniz Marinho. >>>>> >>>> >>> >>
