How to use MKL Pardiso

[ZenanH]

I need to solve a large sparse matrix equation system now. As far as I know, MKL pardiso is more efficient. I tried to install Pardiso.jl in Julia and download MKL (windows), but when I tried an example, Julia reported the following error:

Julia has exited. Press Enter to start a new session.
INTEL MKL ERROR: 操作系统无法运行 %1。 mkl_intel_thread.dll.
Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll.

Because I didn't know how to solve it,
(I know this is due to some of my path configuration errors, but I really can't fix this problem on Windows. Maybe you can give me some reference 😄).
I found MKL. jl. In README it said:

The build step of the package will automatically download Intel MKL and rebuild Julia's system image against Intel MKL.

So I think I can install MKL.jl directly, but I'm not sure if MKl. jl includes Pardiso?

[KristofferC]

MKL.jl is only for BLAS/Lapack. For Pardiso, use Pardiso.jl. Your MKL installation seems to be broken somehow. There is no need to install MKL.jl to use Pardiso.jl.

[ViralBShah]

Since this package is meant only to provide MKL as a BLAS/LAPACK replacement, this issue is out of scope here. One could perhaps have a standard way to install MKL that other packages could leverage. For now, I'm closing this one.