Matrix API support - start with formats?

[Laeeth Isharc via Digitalmars-d]

On Tuesday, 1 September 2015 at 14:00:52 UTC, ZombineDev wrote:
> On Friday, 14 August 2015 at 14:57:19 UTC, Andrei Alexandrescu 
> wrote:
>> I stumbled upon https://software.intel.com/en-us/node/471374 
>> which gives good detail on Intel's Math Kernel Library's data 
>> formats for sparse matrices.
>>
>> No doubt other popular linear algebra libraries have similar 
>> documentation. I was thinking we could start with adding these 
>> layouts to std, along with a few simple primitives 
>> (construction, element/slice access, stride etc). Then, people 
>> may just use those as they are or link with the linalg 
>> libraries for specific computations.
>>
>>
>> Thoughts?
>>
>> Andrei
>
> One thing that will make D really shine is to implement 
> something like this:
> https://www.youtube.com/watch?v=hfn0BVOegac
>
> Since Blaze [1] is open source all we need to do is to provide 
> D wrappers on their highly optimized kernels. My intuition is 
> that by using D's generative features we may be able implement 
> this with significantly less effort than with C++. Their 
> repository even contains benchmarks which we can use to verify 
> that our wrappers won't incur overhead compared to C++.
>
> [1]: https://bitbucket.org/blaze-lib/blaze

I was looking at blaze the other day and wondering just the same. 
  I haven't used it, and don't have a great feeling for what would 
be involved.  Maybe John Colvin does.