[pypy-dev] Interpretor for vectorized langugage

[Maciej Fijalkowski]

On Thu, Dec 16, 2010 at 11:16 AM, Armin Rigo <arigo at tunes.org> wrote:
> Hi,
>
> On Wed, Dec 15, 2010 at 6:21 PM, René Dudfield <renesd at gmail.com> wrote:
>>> Is pypy suitable for writing interpretor of vectorized language like
>>> Matlab, R etc which vector and matrix are first class objects? This includes
>>> matrix shape inference, and efficient linear algebra code generation.
>>
>> have you seen numpy/scipy?
>
> The first aspect is simply if RPython would be suitable for writing an
> interpreter for, say, Matlab.  The answer is "probably yes": PyPy
> would be suitable for such dynamic languages, giving you a JIT
> compiler for free.  I don't really know how complex the core of these
> languages are, but I suspect not too much.
>
> Of course you are then going to hit the same problems that Ademan
> tries to solve for numpy/scipy, notably how to implement at least the
> basic linear algebra operations in such a way that the JIT can improve
> them.  There are various goals there, e.g. to turn Python (or Matlab)
> code like A+B+C, adding three matrices together, into one matrix
> operation instead of two (as it is now: (A+B)+C).  This is all a bit
> experimental so far.
>
>
> A bientôt,
>
> Armin.

Regarding this - I was thinking about haveing a + b - c create a
bytecode that would be executed using small interpreter with a
jit-merge-point and a hint "can be vectorized".