Transfer a Sparse Matrix to a C Function

General Usage
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Yes. I have watched it. Though what I’m talking is mainly for the Sparse Matrices.
Namely, what I’m asking is if both paths exist at once and if Julia chose the LP path for Sparse Matrices built with Int32.

The code on MKLSparse currently use BlasInt to chose the code path. It doesn’t even look at the matrix itself.
This is what I’m talking about (Though I’d say the 3-4 last comments should appear on Convert a Current Installation of Julia to Use `BlasInt = `Int32`).

The solution has 2 stages:

  1. Allow, at the same time, accessing BLAS / LAPCAK / Sparse BLAS / LAPACK libraries with Int32 and Int64 API.
  2. For Sparse Matrices chose the path based on the type of the indices. Go for LP64 for Sparse Matrices with Int32 / UInt32 indices. Use the ILP64 path for matrices built with Int64 / UInt64. One could even say that the path can have AUTO mode for matrices with less than 2 ^ 31 - 1 elements (Be Sparse or Dense).

It will bring performance and memory optimization for the eco system.

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