On Mon, Mar 8, 2010 at 3:05 PM, yavor...@mail.bg <gerund...@gmail.com> wrote: > Hi there, I kind of wanted to participate in this year's GSOC, and I > looked through the suggestions and I couldn't help noticing there are > no suggestions for optimizations for a particular architecture that > could make SymPy faster. I am speaking particularly of GPU usage (e.g. > CUDA) and parallel distributed memory architectures. As much as I've > seen SymPy doesn't include any optimizations for that kind of usage > and it would be nice (particularly now that there is PyCUDA & etc.). > So I was thinking it might be a good suggestion to participate with > this kind of idea... or is it against the idea of portability and > therefore not acceptable for SymPy? The way I see it it could greatly > increase performance in many algorithms if done properly... Thanks
If it can speedup some things, then sure (we'll include some cython core, as an optional module too). But I have the same concerns as Robert. Do you have some particular things in mind? As far as I know, we don't use numeric matrices much. Ondrej -- You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sy...@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.
