Hi everyone, For my Google Summer of Code project, I'll be working on extending the abilities of SymPy's code generation of expressions involving matrix operations such as inversion, multiplication and transposition. SymPy currently has only partial support for generating code involving operations on matrices, most of which is restricted to high-level languages in which abstractions for matrix operations already exist. The goal of my project is to fully extend this support to all target languages currently supported by SymPy, including relatively "low-level" languages such as Fortran and C. Within Fortran and C, my current intention is to provide an option for generated code to either only use existing language primitives or leverage external libraries.
I'm also working on extending SymPy to support code generation through the LFortran (https://lfortran.org/) project. This will hopefully bring a greater level of interactivity to code targeted for generation in Fortran. I'd love to see the ways in which the SymPy community has used SymPy's matrix code generation and how the current limitations of codegen might have manifested themselves. I'd also be very interested in seeing continued input from the community throughout the course of this project. -- Ankit -- 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 https://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/871s0kv2ta.fsf%40smtp.gmail.com. For more options, visit https://groups.google.com/d/optout.
