Re: [boost] [gsoc18][ublas] Proposal to add advanced matrix operations

On Mon, Jan 22, 2018 at 11:16:55AM +0100, Hans Dembinski via Boost wrote:

Hi David, Rajaditya, Artyom, Shikhar,

...

On 21. Jan 2018, at 13:00, David Bellot via Boost wrote:

- yes uBLAS is slow. Not only needs it a support for hardware acceleration but also it needs to be more modern (C++11/14/17) and its architecture could be much more improved. This would help integrating hardware acceleration, IMHO.

I am surprised that no one here mentioned Eigen, an IMHO excellent high-level header-only C++ library to do matrix-vector calculations.

http://eigen.tuxfamily.org/index.php?title=Main_Page http://eigen.tuxfamily.org/index.php?title=Main_Page

It uses expression templates to re-structure the expressions written by users to fast optimised code. It supports both matrices with dimensions known at compile-time and at run-time, and supports mixed versions, e.g. one dimension fixed the other dynamic.

Hello, Tensorflow uses Eigen. If Shikhar is most interested in machine learning libraries, the TensorFlow might have some GSOC projects. Karen.

According to their own (admittedly, a bit outdated) benchmarks, they are extremely competitive, either on par or even beating $$$ closed-source libraries.

http://eigen.tuxfamily.org/index.php?title=Benchmark http://eigen.tuxfamily.org/index.php?title=Benchmark

Eigen tracks its own performance, so you don't need to worry about it getting slower, but perhaps the others have gotten faster in the meantime.

http://eigen.tuxfamily.org/index.php?title=Performance_monitoring http://eigen.tuxfamily.org/index.php?title=Performance_monitoring

I used the library in projects and it is very convenient. You just write your expressions as you would on paper and let Eigen generate the fastest possible code out of that. I only dislike that Eigen does not play well with "auto" since C++11, because they use the assignment to a matrix or vector to trigger the evaluation of the expression template.

I haven't done it myself, but Eigen seems to have a good strategy for adding new features, too. People can start to develop their stuff in an "unsupported" subdirectory, which is not meant for production, but the code is nevertheless distributed with Eigen. This helps to exposes the experimental code to more adventurous users. Eventually, a project that passed the test of time can move from "unsupported" to the main library.

Best regards, Hans

_______________________________________________ Unsubscribe & other changes: http://lists.boost.org/mailman/listinfo.cgi/boost

--- end quoted text --- -- Karen Shaeffer The subconscious mind is driven by your deeply Neuralscape Services held beliefs -- not your deeply held desires.