[SciPy-Dev] PyRSB: Python interface to librsb sparse matrices library

[Sylvain Corlay]

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 at 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
>
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>
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