Matrix API support - start with formats?

ZombineDev via Digitalmars-d digitalmars-d at puremagic.com
Tue Sep 1 07:00:51 PDT 2015


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


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