On Tue, Aug 18, 2009 at 8:50 AM, Maciej Fijalkowski<fij...@gmail.com> wrote: > > Hi. > >> >> I think SymPy is an excellent benchmark target. The nature of SymPy >> (or any computer algebra system) is such that any high-level operation >> will exercise most parts of the system. For example >> "integrate(x**3*exp(x)*sin(x), x)" performs ~4 million function calls >> to some 200 functions all over SymPy, and it's a calculation that >> you'd use SymPy for in practice, so it would be a good real-world test >> case. >> >> Also, mpmath might be a good target (mpmath is a subpackage of SymPy). >> There are some microbenchmarks at [1] although I could come up with >> some slightly more complex "real world" calculation if you are >> interested. Mpmath heavily depends on long integer performance in >> particular, but if you use low precision, it will exercise general >> Python performance. For myself, I would be interested in whether >> PyPy's new JIT can beat psyco, which all around makes mpmath ~2x >> faster on top of CPython. > > Long integer performance is not *exactly* on top of my list of stuff to look > to. > About PyPy JIT beating psyco, yes, but not exactly right now :-) > > I was also wondering what *does not* exercise most of the system and yet > still makes some sort of sense.
By wondering, do you mean that you are looking for this (i.e. you are looking for a benchmark that invokes a relatively small amount of code), or are you implicating me as not making sense? :-) > Cheers, > fijal > --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com To unsubscribe from this group, send email to sympy+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sympy?hl=en -~----------~----~----~----~------~----~------~--~---
