MKLSparse.jl is a Julia package to seamlessly use the sparse functionality in MKL to speed up operations on sparse arrays in Julia.
In order to use
MKLSparse.jl you need to have MKL installed and the environment variables
MKLROOT correctly set, see the MKL getting started guide for a guide. You do not need to have built Julia with MKL as the used BLAS library to use the package.
MKLSparse.jl will make sparse-dense matrix operations be computed using MKL.
Solving linear systems with triangular sparse matrices is supported.
These matrices should be wrapped in their corresponding type, for example
LowerTriangular for lower triangular matrices.
For solving general sparse linear systems using MKL we refer to Pardiso.jl.
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