This is the Linux app named LinearSolve.jl whose latest release can be downloaded as v3.14.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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LinearSolve.jl
DESCRIPTION
LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems, with options for large-scale systems. If you run into any performance issues, please file an issue.
Features
- Fast pure Julia LU factorizations which outperform standard BLAS
- KLU for faster sparse LU factorization on unstructured matrices
- UMFPACK for faster sparse LU factorization on matrices with some repeated structure
- MKLPardiso wrappers for handling many sparse matrices faster than SuiteSparse (KLU, UMFPACK) methods
- Wrappers to all of the Krylov implementations (Krylov.jl, IterativeSolvers.jl, KrylovKit.jl) for easy testing of all of them. LinearSolve.jl handles the API differences, especially with the preconditioner definitions
- A polyalgorithm that smartly chooses between these methods
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/linearsolve-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
