Hi Michele, This is really interesting. I am a co-author of the xtensor project and one thing that could be interesting is to wrap the various sparse matrix data structures in the form of xtensor expressions. A byproduct of doing so is that it would simplify creating bindings for multiple scientific computing languages (Python, Julia, R, and more coming). You can see the blog post http://quantstack.net/c++/2017/05/30/polyglot-scientific-computing-with- xtensor.html for reference...
Also, one quick question: is the LGPL license a deliberate choice or is it not important to you? Most projects in the Python scientific stack are BSD licensed. So the LGPL choice makes it unlikely that a higher-level project adopts it as a dependency. If you are the only copyright holder, you would still have the possibility to license it under a more permissive license such as BSD or MIT... Congratulations on the release! Sylvain On Wed, Jun 21, 2017 at 11:51 AM, Michele Martone <michelemartone@users. sourceforge.net> wrote: > Hi. > > I'm the author of the high performance multithreaded sparse matrix > library `librsb' (mostly C, LGPLv3): http://librsb.sourceforge.net/ > > I'm *not* a user of SciPy/NumPy/Python, but using Cython I have > written a proof-of-concept interface to librsb, named `PyRSB': > https://github.com/michelemartone/pyrsb > > PyRSB is in a prototypal state; e.g. still lacks good error handling. > Its interface is trivial, as it mimicks that of SciPy's 'csr_matrix'. > Advantages over csr_matrix are in fast multithreaded multiplication > of huge sparse matrices. > Intended application area is iterative solution of linear systems; > particularly fast if with symmetric matrices and many rhs. > > With this email I am looking for prospective: > - users/testers > - developers (any interest to collaborate/adopt/include the project?) > > Looking forward for your feedback, > Michele > > _______________________________________________ > SciPy-Dev mailing list > scipy-...@python.org > https://mail.python.org/mailman/listinfo/scipy-dev > >
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