Hey,

 > In fact, there are still some features that I don't have in PyViennaCL:
>
> Karl Rupp <r...@iue.tuwien.ac.at> writes:
>>    - Added norm_frobenius() for computing the Frobenius norm of dense
>> matrices.
>>    - Multiple OpenCL contexts can now be used in a multi-threaded setting
>> (one thread per context).
>>    - Multiple inner products with a common vector can now be computed
>> efficiently via e.g.~inner_prod(x, tie(y, z));
>>    - Added support for prod(A, B), where A is a sparse matrix type and B
>> is a dense matrix (thanks to Albert Zaharovits for providing parts of
>> the implementation).
>>    - Added diag() function for extracting the diagonal of a vector to a
>> matrix, or for generating a square matrix from a vector with the vector
>> elements on a diagonal (similar to MATLAB).
>>    - Added row() and column() functions for extracting a certain row or
>> column of a matrix to a vector.
>
> I think I will add these to my to-do list; luckily, things like diag(),
> row() and column() are pretty easy to do using NumPy, but the other bits
> would be particularly desirable.
>
> I'll probably aim to get a 1.0.0 release out, first, though -- these
> bits can wait for 1.1.0 early in the New Year, and I'll probably leave
> multi-threading out for now... Hm, I should probably create a public
> roadmap page of my own..

Yes, please focus on getting the PyViennaCL 1.0.0 with the current 
feature set out. There's no point in delaying the release indefinitely. 
Release early, release often ;-)

Best regards,
Karli

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