On Thu, Sep 19, 2013 at 10:37 AM, F. B. <[email protected]> wrote: > Nice work, I think that algorithms which have been stable for a long time > and are extensively tested, can be rewritten in C++.
Exactly. > > In fact the great advantage of Python is the ease of writing code quickly, > writing algorithms in Python lets people focus more on the mathematical > results. Unfortunately Python is slow :( Right. > > I would hesitate before porting the pattern matching to C++, as I believe > that SymPy needs better pattern matching capabilities, and it's better to > write them in Python first. I agree, we need to figure out a good algorithm first. > > Are there any plans to use GPU or distributed computing in a C++ core? I don't have experience with GPU, but I definitely plan at least using openmp, so that one can take advantage of all the cores on a given computer. For things like multiplying out two large expressions it should make quite a difference. Ondrej -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sympy. For more options, visit https://groups.google.com/groups/opt_out.
