On Thu, Dec 16, 2010 at 11:16 AM, Armin Rigo <[email protected]> wrote: > Hi, > > On Wed, Dec 15, 2010 at 6:21 PM, René Dudfield <[email protected]> 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". _______________________________________________ [email protected] http://codespeak.net/mailman/listinfo/pypy-dev
