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juliahub.com : LinearSolveCUDA
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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purl: pkg:julia/LinearSolveCUDA
Keywords: factorization, linear-algebra, distributed-computing, sciml, multigrid, amg, scientific-machine-learning, newton-krylov, preconditioners, differential-equations, julia, linear-solvers, gpu, krylov-methods
License: MIT
Latest release: over 2 years ago
First release: over 2 years ago
Stars: 220 on GitHub
Forks: 46 on GitHub
Total Commits: 1078
Committers: 45
Average commits per author: 23.956
Development Distribution Score (DDS): 0.409
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: about 2 hours ago
LinearSolve 2.30.0 💰
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch bet...163 versions - Latest release: 9 days ago - 35 dependent packages - 220 stars on GitHub
LinearSolvePardiso 0.1.1 💰
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch bet...2 versions - Latest release: over 2 years ago - 220 stars on GitHub