On Monday, March 14, 2016 at 12:28:24 AM UTC+1, Mikera wrote:

> It would be great if Neanderthal simply implemented the core.matrix 
> protocols, then people could use it as a core.matrix implementation for 
> situations where it makes sense. I really think it is an architectural 
> dead-end for Neanderthal to develop a separate API. You'll simply get less 
> users for Neanderthal and fragment the Clojure library ecosystem which 
> doesn't help anyone.
>

Mike, I explained that many times in detail what's wrong with core.matrix, 
and I think it is a bit funny that you jump in every time Neanderthal is 
mentioned with the same dreams about core.matrix, without even trying 
Neanderthal, or discussing the issues that I raised. Every time your answer 
is that core.matrix is fine for *YOUR* use cases. That's fine with me and I 
support your choice, but core.matrix fell short for *MY* use cases, and 
after detailed inspection I decided it was unsalvageable. If I thought I 
could improve it, it would have been easier for me to do that than to spend 
my time fiddling with JNI and GPU minutes.

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.
 

> 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.

 

> On Sunday, 13 March 2016 23:34:23 UTC+8, Dragan Djuric wrote:
>>
>> I am soon going to release a new version of Neanderthal.
>>
>> I reinstalled ATLAS, so I decided to also update benchmarks with threaded 
>> ATLAS bindings.
>>
>> The results are still the same for doubles on one core: 10x faster than 
>> Vectorz and 2x faster than JBlas.
>>
>> The page now covers some more cases: multicore ATLAS (on my 4-core 
>> i7-4790k) and floats. Neanderthal is 60 times faster with multi-threaded 
>> ATLAS and floats than Vectorz (core.matrix).
>>
>> For the rest of the results, please follow the link. This will work with 
>> older versions of Neanderthal.
>>
>>
>> https://www.reddit.com/r/Clojure/comments/4a8o9n/new_matrix_multiplication_benchmarks_neanderthal/
>> http://neanderthal.uncomplicate.org/articles/benchmarks.html
>>
>

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