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If you use KrylovPreconditioners.jl in your work, please cite it using the format provided in CITATION.cff.

To get started with KrylovPreconditioners.jl, you can install it using Julia's package manager:

julia> ]
pkg> add KrylovPreconditioners

To use the package alongside Krylov.jl, simply import both packages:

using Krylov, KrylovPreconditioners

To enhance the performance of Krylov.jl, especially on GPUs, we recommend KrylovPreconditioners.jl. This package provides a variety of preconditioning strategies that significantly improve convergence rates for Krylov solvers, making them more efficient for large-scale problems. It also contains operators that improve the efficiency of sparse matrix-dense vector products and sparse triangular solves on different GPUs, ensuring better performance on modern hardware.

KrylovPreconditioners.jl is the best sidekick of Krylov.jl. └(^o^ )Ｘ( ^o^)┘

This repository includes code originally from the repository IncompleteLU.jl, authored by Harmen Stoppels. The original code was adapted for use in this repository.