[Cython] Julialang

Dimitri Tcaciuc dtcaciuc at gmail.com
Mon Apr 23 19:09:08 CEST 2012

I may be misuderstanding the intent here, but here it goes.

If the main idea is to be able to call functions that are written in
Julia or other languages, I think an effort to create an LLVM backend
for Cython would go a long way towards inter-language connections as
the one discussed here. It should be possible to take Cython- and
Julia- produced LLVM bytecode and assemble it all together, applying
whatever bytecode optimizers that are available (eg. SSE
vectorization). A big advantage of that approach is that there's no
need for one language to know syntax conventions of the other one (or
at least not to full extent). Continuing the effort, it should be
possible to eliminate the need for writing an intermediate .c/.cpp
file if Clang compiler is used, which is also LLVM based.


On Mon, Apr 23, 2012 at 9:30 AM, Robert Bradshaw <robertwb at gmail.com> wrote:
> On Sun, Apr 22, 2012 at 1:59 AM, Lisandro Dalcin <dalcinl at gmail.com> wrote:
>> On 22 April 2012 08:10, Robert Bradshaw <robertwb at gmail.com> wrote:
>>> Yes, Julia looks really cool. It's been on my radar for a while, but I
>>> haven't had a chance to really try it out for anything yet. But I
>>> hadn't thought about low-level Python/Cython <-> Julia integration.
>>> That sounds very interesting. I wonder if Jython could give any
>>> insight into to the tight interaction between two languages that are
>>> usually used in isolation but have been made to call each other
>>> (though there are a lot of differences too, e.g. we're not targeting
>>> replacing the CPython interpreter (on first pass at least...)).
>> Are you all aware that "calling C" actually means a ctypes-like
>> functionality based in dlopen()/dlsym() ?
>> http://julialang.org/manual/calling-c-and-fortran-code/.
> Yes, with all its drawbacks, but the fact that it's JIT'ed at least
> cuts into the overhead issues.
> - Robert
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