Does `MKLLUFactorization` support Complex SparseMatrix?

[ytdHuang]

I tried the solver MKLLUFactorization with matrix type: SparseArrays.SparseMatrixCSC{ComplexF64, Int64} within LinearSolve v2.16.1
However, I received an error message:

MethodError: no method matching strides(::SparseArrays.SparseMatrixCSC{ComplexF64, Int64})

Does v2.16 support complex numbers for MKL and Apple Acceleation only on dense matrices?

Or did I miss something

[ChrisRackauckas]

MKL's sparse support is just MKLPardiso which is the PardisoJL solver, so that's wrapped but not a given binary by default. Apple Accelerate, someone would have to wrap the sparse solvers there.

[ytdHuang]

Thank you for the information.
I thought MKLLUFactorization and MKLPardiso are slightly different and was trying to benchmark them.

[ChrisRackauckas]

MKLPardiso is the sparse matrix solver of MKL, just built in a different binary so that you can install the two pieces separately. But from my understanding, that's the only direct method in MKL

[ytdHuang]

Thank you~
Yeah, I was using MKLPardiso originally. And saw this MKLLUFactorization come up.
I didn't know that the new one only works on Dense Matrix, and MKLPardiso is already the one working on Sparse Matrix.