Hi Vicky,
see my responses inline.
– Lukas
> On 18 Mar 2016, at 12:12, Graymalk Meow via swift-users
> <swift-users@swift.org <mailto:swift-users@swift.org>> wrote:
> Hi,
>
> Two things.
>
> 1. Has anyone run swift programs on a cluster? Is it possible? You can take
> that as meaning I am interested in giving it a try. Googling this turns up
> something super confusing: swift-lang.org <http://swift-lang.org/>
> Is this the same language? If it isn't then there is a real naming problem
> here.
swift-lang.org <http://swift-lang.org/> is, in fact, the homepage of two
different languages designed to write MPI applications, the newer one being
“Swift/T”.
> My interest stems from a love of the Apple world and wanting to somehow
> include it in some work I'm doing comparing the performance of multiple
> languages in parallel systems. But my goal is not to make this particular
> Swift parallel if it isn't already, so if I can't relatively easily make some
> parallel programs with it then I'll have to pass.
Swift is “parallel” similar to how C and C++ without special tools are. You can
use pthreads or dispatch (the Linux port of which will have a strable release
with Swift 3).
> And by relatively easily, I mean... If I can use it with OpenMPI,
I am not aware of MPI (not just OpenMPI necessarily) bindings for Swift, but
those should be pretty straight-forward to do. Have a look at the
swift-package-manager documentation for simply wrapping the C API and at the
Rust MPI crates for some ideas on how the API could be made more swifty.
> OpenMP,
Since OpenMP is a set of compiler directives that are deeply integrated with C,
C++ and Fortran, it would be a nontrivial amount of work to port it to Swift.
You can, however, replicate some of its functionality using dispatch and other
Swift libraries.
> or OpenCL (using CUDA or, if I just run it on my Mac, then OpenGL, but the
> clusters have CUDA)
Like MPI, OpenCL provides a C API that void be adapted for Swift. I don’t know
steht anyone has down this yet. I don’t have enough experience with CUDA to
comment on that, but I suspect it might be similar.
> AND if I can at least compile for different platforms (CentOS Linux and
> Raspbian Linux)
I remember reading about both CentOS and Raspberry Pi in PRs on GitHub or on
the mailing lists. You can probably find info about that by searching those.
> then we're in business. Googling is unhelpful because of the two languages
> one name problem. The CentOS systems are large heterogeneous clusters that
> don't presently have Swift (either one) on them at all so I might be dead in
> the water anyway but I might be able to get them to install it if I can argue
> that it'll work.
It could be possible to compile the code on other systems and statically link
or copy over the important libraries, so you wouldn’t need to run the Swift
compiler on the cluster at all.
> The Raspberries are just my toy cluster that I have full control over. My Mac
> beats the crap out of them in performance lol, as it should.
>
> 2. For fun:
> http://mobile.eweek.com/developer/javascript-most-popular-language-stack-overflow-report.html
>
> <http://mobile.eweek.com/developer/javascript-most-popular-language-stack-overflow-report.html>
>
> "Meanwhile, the use of the Swift <https://swift.org/> programming language is
> exploding, the survey showed. Swift grew faster than any other technology
> last year, the survey showed."
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