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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.
Registry
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Source
- Homepage
- Documentation
- JSON
purl: pkg:julia/LinearSolveCUDA
Keywords: julia, gpu, linear-solvers, krylov-methods, newton-krylov, factorization, preconditioners, amg, sciml, multigrid, distributed-computing, linear-algebra, differential-equations, scientific-machine-learning
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
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Funding links: https://github.com/sponsors/SciML
Last synced: 1 day ago