SciML/LinearSolve.jl

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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.

Stars: 293
Forks: 93
Open beginner issues: 0
Indexed issues: 13
Avg merge: 15h 14m
Merged PRs (30d): 61

Dominant language: Julia
License: No license data
Last GitHub push: Sep 17, 2026
Latest indexed: Sep 19, 2026
Contributing guide: Contributing guide
Code of conduct: Code of conduct
Beginner labels: No beginner labels indexed

Beginner friendly Everything

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13 open issues indexed

CHOLMOD path never checks its LDLt fallback, so a sparse symmetric indefinite solve throws Open

Difficulty 4/5 3-5 days Newbie friendliness 72/100

SciML/LinearSolve.jl#1328 · Opened Sep 19, 2026
InvPreconditioner aliases its input in the two-argument ldiv!, so preconditioned IterativeSolvers solves return the zero vector Open

Difficulty 3/5 1-2 days Newbie friendliness 82/100

SciML/LinearSolve.jl#1322 · Opened Sep 17, 2026
Metal and CUDA LU choices throw instead of falling back to QR, and report ReturnCode.Default when they succeed Open

Difficulty 3/5 1-2 days Newbie friendliness 74/100

SciML/LinearSolve.jl#1321 · Opened Sep 17, 2026
ForwardDiff extension: in-place updates to `cache.A` leave the primal matrix and partials stale, so `isfresh` solves the previous system Open

Difficulty 4/5 3-5 days Newbie friendliness 52/100

SciML/LinearSolve.jl#1315 · 1 comment · Opened Sep 14, 2026
Most in-place factorizations ignore `alias_A`, destroying the caller's matrix on refactorization Open

Difficulty 4/5 3-5 days Newbie friendliness 68/100

SciML/LinearSolve.jl#1313 · 1 comment · Opened Sep 14, 2026
Reverse-mode `∂A` drops the residual term for non-square solves, disagreeing with forward mode Open

Difficulty 5/5 Over a week Newbie friendliness 38/100

SciML/LinearSolve.jl#1309 · Opened Sep 14, 2026
Extension LU algorithms never snapshot `A`, so the QR safety fallback restores a stale matrix Open

Difficulty 4/5 3-5 days Newbie friendliness 65/100

SciML/LinearSolve.jl#1306 · Opened Sep 14, 2026
Reactant: add backend-aware native XLA lowerings and fallback policy Open

Difficulty 5/5 Over a week Newbie friendliness 35/100

SciML/LinearSolve.jl#1253 · 2 comments · Opened Aug 26, 2026
Nondeterministic GC corruption (`GC error (probable corruption)`, SIGABRT) in large-N GenericLU adjoint test workload on Julia 1.11.9–1.12.6 — reproduces on clean main Open

Difficulty 5/5 Over a week Newbie friendliness 35/100

SciML/LinearSolve.jl#1170 · 3 comments · Opened Aug 8, 2026
Improve ParU test structure when LTS upgrades to Julia 1.12 Open

Difficulty 3/5 1-2 days Newbie friendliness 45/100

SciML/LinearSolve.jl#897 · Opened Feb 22, 2026
AOCL wrappers for faster sparse and dense operations on AMD CPUs Open

Difficulty 5/5 Over a week Newbie friendliness 20/100

SciML/LinearSolve.jl#430 · 3 comments · 3 reactions · Opened Nov 11, 2023
BibTex (citation) for LinearSolve.jl Open

Difficulty 1/5 Under an hour Newbie friendliness 35/100

SciML/LinearSolve.jl#211 · 16 comments · 2 reactions · Opened Oct 24, 2022
Trilinos solver wrappers Open

Difficulty 4/5 3-5 days Newbie friendliness 45/100

SciML/LinearSolve.jl#53 · 8 comments · 1 reaction · Opened Dec 14, 2021

SciML/LinearSolve.jl

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