On 3 May 2007 12:13:49 GMT, Duncan Booth <[EMAIL PROTECTED]> wrote: >sturlamolden <[EMAIL PROTECTED]> wrote: > >> I am curious to know how it performs in comparison to CPython and an >> efficient compiled Lisp like CMUCL. Speed is a major problem with >> CPython but not with .NET or CMUCL, so it will be interesting to see >> how the DLR performs in comparison. It would be great to finally see a >> Python that runs on steroids, but knowing M$ bloatware my expectations >> are not too high. > >The video of Jim Hugunin's talk from MIX has a slide showing how many >Pystones you get on some different versions of Python. Of course that is >just one benchmark and not terribly relevant to any real applications, but >if you do get a similar speedup in real code 'Python that runs on >steroids' won't be far from the truth. > >The claimed figures were 50,000 Pystones for CPython 2.5, and 101,000 for >the latest IronPython. (He didn't mention it, but I believe Psyco will >outdo both of these.)
fwiw, my desktop happens to do 50,000 pystones with cpython 2.4 and 294,000 pystones with cpython 2.4 and psyco.full() Jean-Paul -- http://mail.python.org/mailman/listinfo/python-list
