This sounds great. Note that we have recently merged some code that uses llvm to automatically JIT sympy expressions. Check out the master branch and search for the relevant pull requests. Maybe there is some overlap with your project.
Jason moorepants.info +01 530-601-9791 On Wed, Apr 20, 2016 at 11:29 AM, yueming liu <[email protected]> wrote: > I am not sure if it is too late to contribute to SymPy and the paper. I've > been developing a private project called sympy-llvm which uses just-in-time > (JIT) compilation technique to compile SymPy expressions to native machine > code in order to speedup the numerical evaluation of the expressions for > numerical computation purpose. This is similar to the existing functions in > SymPy like subs/evalf, lambdify, ufuncify and Theano (see > http://docs.sympy.org/latest/modules/numeric-computation.html). The > advantage of sympy-llvm is that it is faster than all the existing methods > in the sense of compilation time and numerical evaluation time. Another > advantage is that no FORTRAN or C/C++ source code generation involved. > Runnable machine code is generated in memory using LLVM (Attached figures > show some comparison benchmarks. SMC_py stands for sympy-llvm > implementation). Example applications are implemented such as the > numerical computation for modals in PyDy. I'd like to make sympy-llvm > public and integrate into SymPy as an optional component for numerical > computation if possible. > > As you all may know that the projects like Google TensorFlow and Theano > are both using symbolic-numerical way to provide human friendly language > interface and fast numerical computation. The CASs projects developed a > couple of decades ago like Maple, Maxima, Mathematica, Reduce etc ( > https://en.wikipedia.org/wiki/List_of_computer_algebra_systems) none of > them have 'in-memory' JIT complication functions to bridge the gap between > symbolic and numeric computations. I believe sympy-llvm as a component of > SymPy will be a great enhancement of SymPy in numerical computation field. > > -Yueming Liu > > > On Tuesday, April 19, 2016 at 3:53:13 PM UTC-7, Ondřej Čertík wrote: >> >> Hi, >> >> I would like to invite anybody to contribute to our paper about SymPy >> and become an author. We use the authorship criteria that are written >> in our README: >> >> >> https://github.com/sympy/sympy-paper/blob/2a93d84a6f3447f8e15e24f02cedb6c27c299abd/README.md#authorship-criteria >> >> In other words, to satisfy 1), you must contribute to sympy in some >> way (e.g. some good patch that is more than, say, fixing a typo in >> documentation), to satisfy 2), get involved with the development of >> the sympy-paper repository: https://github.com/sympy/sympy-paper, >> submit a patch there, write a section, or just review PRs. Finally, >> you must also be willing to satisfy 3) and 4). Hopefully this should >> be pretty clear, but if you have any questions about authorship, >> please let me or Aaron know. >> >> Once this paper is accepted, we will probably put it into the SymPy's >> README for people to cite, so I encourage everyone to get involved. >> >> 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 https://groups.google.com/group/sympy. > To view this discussion on the web visit > https://groups.google.com/d/msgid/sympy/af0be361-2f60-4c4e-878c-6a264289ba50%40googlegroups.com > <https://groups.google.com/d/msgid/sympy/af0be361-2f60-4c4e-878c-6a264289ba50%40googlegroups.com?utm_medium=email&utm_source=footer> > . > > For more options, visit https://groups.google.com/d/optout. > -- 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/CAP7f1AhWpBa3TSwuyze4Uueo6fi_qTuCRFrLtKhDr9DCOWQF0g%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
