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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