Hi, On Wed, Dec 15, 2010 at 6:21 PM, René Dudfield <ren...@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. _______________________________________________ pypy-dev@codespeak.net http://codespeak.net/mailman/listinfo/pypy-dev
