Closed ytdHuang closed 9 months ago
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.
Thank you for the information.
I thought MKLLUFactorization
and MKLPardiso
are slightly different and was trying to benchmark them.
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
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.
I tried the solver
MKLLUFactorization
with matrix type:SparseArrays.SparseMatrixCSC{ComplexF64, Int64}
withinLinearSolve v2.16.1
However, I received an error message:Does
v2.16
support complex numbers for MKL and Apple Acceleation only on dense matrices?Or did I miss something