On 8/14/15 11:11 AM, ponce 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
Are sparse matrices a common scenario?
In machine learning, yes. But order is not as important as the basic
strategy: layouts + simple/naive primitives in Phobos, elaborate
primitives in specialized external libraries. -- Andrei
