On Thu, Dec 16, 2010 at 2:20 PM, Maciej Fijalkowski <[email protected]>wrote:
> 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 > That seems like a pretty big special case, why not work at the larger idea of cross-loop optimizations? Alex -- "I disapprove of what you say, but I will defend to the death your right to say it." -- Evelyn Beatrice Hall (summarizing Voltaire) "The people's good is the highest law." -- Cicero "Code can always be simpler than you think, but never as simple as you want" -- Me
_______________________________________________ [email protected] http://codespeak.net/mailman/listinfo/pypy-dev
