I would definitely like to talk about Chapel as a great way to utilize a
highly distributed system. What I've seen in these open-source
communities, especially for systems such as Parallella (which I also have
an 8 node version of), is that developers don't have a good way to actually
use the hardware. Python theano is one of the easiest ways I've seen so
far for GPU.
Regarding Chapel on ARM, I've tried compiling it yesterday and hit an issue
compiling pthread. The Jetson TK1 boards running Ubuntu 14 don't seem to
have arm-uncontext.h. In short, if I can get some help ironing out the
build then I will work on some demos.
Thanks!
On Mon, Mar 16, 2015 at 6:56 AM, Michael Ferguson <[email protected]>
wrote:
> Hi Brian -
>
> You could certainly run Chapel on your system across the ARM chips
> and ignore running on the GPUs for your demo. It might be that
> the current version of Chapel will show better on one of the other
> clusters you plan to bring, also. In any case, I think it would
> be really exciting to have Chapel shown at such an event!
>
> Just to add a little bit to what Brad mentioned about GPU support.
> There are a number of possible paths to running Chapel code on GPUS:
> - Generating CUDA code and then using nvcc (this was Albert's approach)
> - Generating OpenACC directives is another possibility
> - Generating OpenCL
> - Generating LLVM that can run on a GPU and using e.g. OpenCL calls to
> launch it
> - (and idea I haven't brought up before) integrating with the
> Intel SPMD compiler and using its existing capabilities
> as the Chapel back-end
>
> I'd be interested to know if you have an opinion about how we build
> GPU support. Besides that, any help you can offer in development and
> testing of such support would really help the project.
>
> Cheers,
>
> -michael
>
> On 3/15/15, 2:56 AM, "Brad Chamberlain" <[email protected]> wrote:
>
> >
> >Hi Brian --
> >
> >There is no support for GPUs in the official Chapel releases or on the
> >master branch at GitHub. Albert Sidelnik (formerly UIUC, now Nvidia) did
> >some work on porting Chapel to GPUs a few years back which was published
> >at IPDPS and the paper is available here:
> >
> > http://polaris.cs.uiuc.edu/~asideln2/ipdps12.pdf
> >
> >A few people have tried to resurrect this work from time-to-time and
> >catch
> >it up to the current release, but I'm not aware that any efforts have
> >been
> >terribly successful. Adding support for GPUs is on our TODO list, but
> >not
> >at the top at present.
> >
> >Thanks for your interest in Chapel, and we' d be curious to know more
> >about your demo as it approaches,
> >-Brad
> >
> >
> >On Sat, 14 Mar 2015, Brian Guarraci wrote:
> >
> >> Hi,
> >>
> >> I'm interested in using Chapel to illustrate parallel computing at a
> >>Maker
> >> Faire demo coming up in May. I have a couple different cluster
> >>computers
> >> I'm going to be showing and one has 16 Nvidia Jetson TK1 boards, which
> >>is
> >> an ARM-based SoC w/ CUDA GPU. I'm curious about using Chapel for
> >>showing
> >> some demos on how to leverage the system. Has anyone done this kind of
> >> thing already?
> >>
> >> Thanks!
> >> Brian
> >>
> >
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