Hi everyone, I am a third year student at Grinnell College in Grinnell, Iowa, and I'd like to work on expanding Sympy's code generation capabilities. More specifically, I'd like to improve how Sympy generates code for handling matrices.
Øyvind Jensen worked on expanding codegen's ability to handle expressions involving IndexedBases and Matrix in the summer of 2010, so C and Fortran expressions are able to loop over the arguments of an input array. However, these languages have libraries that allow abstracting matrix operations in addition to optimizing them (the ideas page suggests LAPACK, and Øyvind Jensen also added support for Python's very own Theano, but this seems very rough). Since each target language has its own method of handling matricies, right now my idea is to extend codegen and its AST and implement the relevant matrix operations for each language (which seems easier for some more than others, since e.g. octave already implements many of the operations Sympy represents). My question is, how viable is this as a project for a summer? Also, I've submitted some small pull requests ( https://github.com/sympy/sympy/pull/16369 and https://github.com/sympy/sympy/pull/16331) to help me familiarize myself with codegen. Are there any other issues/documentation I should look into? Thanks! -- 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 sympy+unsubscr...@googlegroups.com. To post to this group, send email to sympy@googlegroups.com. Visit this group at https://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/f34dff96-3a77-498b-acad-98ec77c09029%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
