>
>
> Please remember that core.matrix is primarily intended as an API, not a 
> matrix implementation itself. The point is that different matrix 
> implementations can implement the standard protocols, and users and library 
> writers can then code to a standard API while maintaining flexibility to 
> use the implementation that best suits their use cases (of which 
> Neanderthal could certainly be one). 
>

Exactly the same could be said about Neanderthal. It also has an abstract 
API that could be implemented quite flexibly, and is even better than 
core.matrix (IMO, of course, so I won't try to argue about that since it is 
a matter of personal preferences and needs and arguing about that leads 
nowhere).
 

>
>> I understand your emotions about core.matrix, and I empathize with you. I 
>> support your contributions to Clojure open-source space, and am glad if 
>> core.matrix is a fine solution for a number of people. Please also 
>> understand that it is not a solution to every problem, and that it can also 
>> be an obstacle, when it fells short in a challenge.
>>
>
> Interested to understand that statement. Please let me know what use cases 
> you think don't work for core.matrix. A lot of people have worked on the 
> API to make it suitable for a large class of problems, so I'm interested to 
> know if there are any we have missed. 
>
> For any point you have here, I'm happy to either:
> a) Explain how it *does* work
> b) Take it as an issue to address in the near future.
>

I do not say that core.matrix is a bad API. I just think BLAS is even more 
mature, and battle tested.

 

>  
>
>>  
>>
>>> In the absence of that, we'll just need to develop separate BLAS 
>>> implementations for core.matrix. 
>>>
>>
>> I support you. If you do a good job, I might even learn something now and 
>> improve Neanderthal.
>>  
>>
>>> Would be great if you could implement the core.matrix protocols and 
>>> solve this issue. It really isn't much work, I'd even be happy to do it 
>>> myself if Neanderthal worked on Windows (last time I tried it doesn't).
>>>
>>
>> I am happy that it is not much work, since it will be easy for you or 
>> someone else to implement it ;) Contrary to what you said on slack, I am 
>> *not against it*. I said that many times. Go for it. The only thing that I 
>> said is that *I* do not have time for that nor I have any use of 
>> core.matrix.
>>
>> Regarding Windows - Neanderthal works on Windows. I know this because a 
>> student of mine compiled it (he's experimenting with an alternative GPU 
>> backend for Neanderthal and prefers to work on Windows). As I explained to 
>> you in the issue that you raised on GitHub last year, You have to install 
>> ATLAS on your machine, and Neanderthal has nothing un-Windowsy in its code. 
>> There is nothing Neanderthal specific there, it is all about comiling 
>> ATLAS. Follow any ATLAS or Nympu + ATLAS or R + ATLAS guide for 
>> instructions. Many people did that installation, so I doubt it'd be a real 
>> obstacle for you.
>>
>
> Every time I have tried it has failed on my machine. I'm probably doing 
> something wrong, but it certainly isn't obvious how to fix it. Can you 
> point me to a canonical guide and binary distribution that works "out of 
> the box"? 
>

Googling "numpy atlas install windows" gave me thousands of results, here 
is the first: 
http://www.scipy.org/scipylib/building/windows.html#atlas-and-lapack 

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