On 20170624@16:29, Sylvain Corlay wrote: > Hi Michele, Hi Sylvain,
> 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... This article exemplifies manipulation of numerical arrays. Now I ask you: Given an interactive language $L of the one you cite above, can xtensor provide objects with custom type and operators for manipulation in *that* language, like in e.g. the pyrsb case: a=rsb_matrix((4,4)) print(a+a) # + operator and 'print' interfacing ? > 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... No important choice. No problems relicensing the PyRSB prototype to BSD or MIT. > Congratulations on the release! Thanks for the interest and welcome constructive feedback :-) > 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 > > > > > _______________________________________________ > SciPy-Dev mailing list > scipy-...@python.org > https://mail.python.org/mailman/listinfo/scipy-dev
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