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 concern I have is the choice of MKL, which due to cost and
license reasons, many developers will not have on all (or even
any) of their machines.
I don't work with sparse matrices often so I do not know which
libraries are most popular, but at a minimum I think it is
necessary to say you can use it with a popular open source
library. Given the importance of MKL, it would be a bad idea to
not offer a compatible format, but it would be equally bad to
focus on only MKL.
