krylovpreconditioners.jl

The ultimate collection of preconditioners

https://github.com/juliasmoothoptimizers/krylovpreconditioners.jl

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

The ultimate collection of preconditioners

Basic Info
  • Host: GitHub
  • Owner: JuliaSmoothOptimizers
  • License: other
  • Language: Julia
  • Default Branch: main
  • Size: 1.41 MB
Statistics
  • Stars: 18
  • Watchers: 4
  • Forks: 2
  • Open Issues: 8
  • Releases: 12
Created over 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

KrylovPreconditioners.jl

| Documentation | CI | Coverage | Downloads | |:-----------------:|:------:|:------------:|:-------------:| | docs-dev | build-gh build-cirrus | codecov | downloads |

How to Cite

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

How to Install

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

julia julia> ] pkg> add KrylovPreconditioners

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

julia using Krylov, KrylovPreconditioners

Content

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^)┘

Acknowledgement

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

Owner

  • Name: JuliaSmoothOptimizers
  • Login: JuliaSmoothOptimizers
  • Kind: organization
  • Location: DOI: 10.5281/zenodo.2655082

Infrastructure and Solvers for Continuous Optimization in Julia

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
authors:
  - given-names: Alexis
    family-names: Montoison
    orcid: "https://orcid.org/0000-0002-3403-5450"
    affiliation: "GERAD and Department of Mathematics and Industrial Engineering, Polytechnique Montréal, QC, Canada."
  - given-names: Michel 
    family-names: Schanen
title: "KrylovPreconditioners.jl : The ultimate collection of preconditioners "
date-released: '2024-03-01'
version: 0.2.2
license: MPL-2.0
repository-code: "https://github.com/JuliaSmoothOptimizers/KrylovPreconditioners.jl"
keywords:
  - Krylov
  - Julia
  - preconditioners

GitHub Events

Total
  • Create event: 13
  • Commit comment event: 9
  • Issues event: 11
  • Release event: 5
  • Watch event: 5
  • Delete event: 8
  • Issue comment event: 35
  • Push event: 71
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 13
Last Year
  • Create event: 13
  • Commit comment event: 9
  • Issues event: 11
  • Release event: 5
  • Watch event: 5
  • Delete event: 8
  • Issue comment event: 35
  • Push event: 71
  • Pull request review event: 2
  • Pull request review comment event: 1
  • Pull request event: 13

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 21
  • Total pull requests: 56
  • Average time to close issues: 2 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 9
  • Total pull request authors: 6
  • Average comments per issue: 1.52
  • Average comments per pull request: 0.3
  • Merged pull requests: 52
  • Bot issues: 0
  • Bot pull requests: 12
Past Year
  • Issues: 7
  • Pull requests: 15
  • Average time to close issues: 16 days
  • Average time to close pull requests: about 6 hours
  • Issue authors: 6
  • Pull request authors: 4
  • Average comments per issue: 1.43
  • Average comments per pull request: 0.2
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • amontoison (11)
  • albertomercurio (2)
  • tmigot (1)
  • mberto79 (1)
  • loisbaker (1)
  • michel2323 (1)
  • dpo (1)
  • JuliaTagBot (1)
  • m-schwendt (1)
Pull Request Authors
  • amontoison (38)
  • github-actions[bot] (12)
  • michel2323 (11)
  • tmigot (4)
  • Jay-sanjay (2)
  • navidcy (1)
Top Labels
Issue Labels
enhancement (3) documentation (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 302 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 12
juliahub.com: KrylovPreconditioners

The ultimate collection of preconditioners

  • Versions: 12
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 302 Total
Rankings
Dependent repos count: 10.1%
Average: 25.3%
Dependent packages count: 40.4%
Last synced: 10 months ago

Dependencies

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