Hi Brian --
(I'm Greg Titus, on the Chapel core team. I work mainly on the runtime,
especially tasking and communications.)
I've built Chapel on a Cavium ARM system and run one test (hello world,
of course!). I did have trouble with the third-party/qthreads build
there, and so had to drop back to using our old fifo tasking layer by
setting the CHPL_TASKS environment variable to 'fifo'. If you do this
does the build get further or even succeed?
(We're a little busy at present since we're right at the end of our
release cycle, so I'll beg forgiveness ahead of time if we're a bit slow
in responding to things.)
greg
On 3/16/2015 8:05 AM, Brian Guarraci wrote:
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]
<mailto:[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]
<mailto:[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
<http://polaris.cs.uiuc.edu/%7Easideln2/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
>>
>
>--------------------------------------------------------------------------
>----
>Dive into the World of Parallel Programming The Go Parallel Website,
>sponsored
>by Intel and developed in partnership with Slashdot Media, is
your hub
>for all
>things parallel software development, from weekly thought leadership
>blogs to
>news, videos, case studies, tutorials and more. Take a look and
join the
>conversation now. http://goparallel.sourceforge.net/
>_______________________________________________
>Chapel-developers mailing list
>[email protected]
<mailto:[email protected]>
>https://lists.sourceforge.net/lists/listinfo/chapel-developers
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Chapel-developers mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/chapel-developers
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Chapel-developers mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/chapel-developers
