v3.40.0

LinearSolve v3.40.0

Diff since v3.39.2

Merged pull requests:

• Make length of Partials known at compile time in ForwardDiff overloads (#727) (@jClugstor)
• Hotfix typo in linearsolveautotune (#774) (@ChrisRackauckas)

Closed issues:

• Add a way to forward diff a function that uses linsolve inside (#646)
• LU algorithms that work when solving a linear system fail in autotune_setup (#771)

v3.39.2

LinearSolve v3.39.2

Diff since v3.39.1

Merged pull requests:

• Fix CUDA functional check in init_cacheval functions (#770) (@ChrisRackauckas-Claude)

Closed issues:

• Don't use cuda just because cuda is loaded (#761)

v3.39.1

LinearSolve v3.39.1

Diff since v3.39.0

Merged pull requests:

• Fix Float16 segfault with Metal algorithms (#743) (#764) (@ChrisRackauckas-Claude)
• Fix method overwriting error during precompilation on Apple Silicon (#769) (@ChrisRackauckas)

Closed issues:

• LinearSolveAutotune segfaults Julia when benchmarking Float16 on Apple Silicon (#743)
• Installation of LinearSolveAutotune fails on Apple Silicon (#768)

v3.39.0

LinearSolve v3.39.0

Diff since v3.38.0

Merged pull requests:

• Remove deepcopy operations from __init path (fixes #747) (#763) (@ChrisRackauckas-Claude)
• Fix BenchmarkTools.DEFAULT_PARAMETERS const assignment error in Julia 1.12 (#765) (@ChrisRackauckas-Claude)

Closed issues:

• Use of deepcopy doesn't trim well (#648)
• [LinearSolveAutotune] Setting BenchmarkTools.DEFAULT_PARAMETERS on Julia 1.12 fails since it is const (#744)
• Remove deepcopy from __init path. (#747)

v3.38.0

LinearSolve v3.38.0

Diff since v3.37.0

Merged pull requests:

• Fix allocations in 32Mixed precision methods by pre-allocating temporaries (#758) (@ChrisRackauckas-Claude)
• Simplify mixed precision: compute types on demand instead of caching (#759) (@ChrisRackauckas-Claude)
• fix sparspak solves in multithreaded loop (#760) (@j-fu)
• Improve usecuda function to verify CUDA availability (#762) (@hexaeder)

Closed issues:

• Don't use cuda just because cuda is loaded (#761)

v3.37.0

LinearSolve v3.37.0

Diff since v3.36.0

Merged pull requests:

• Replace unnecessary deepcopy calls with copy in tests (#752) (@ChrisRackauckas-Claude)
• Revert the SciMLLogging (#754) (@ChrisRackauckas)
• Fix performance of AppleAccelerate check for Enzyme (#755) (@ChrisRackauckas)

Closed issues:

• Pardiso leaks memory (#593)

v3.36.0

LinearSolve v3.36.0

Diff since v3.35.0

Merged pull requests:

• Add OpenBLASLUFactorization implementation (#745) (@ChrisRackauckas-Claude)
• Add availability checks for MKL and OpenBLAS similar to AppleAccelerate (#751) (@ChrisRackauckas-Claude)

v3.35.0

LinearSolve v3.35.0

Diff since v3.34.0

Merged pull requests:

• Add mixed precision LU factorization methods (#746) (@ChrisRackauckas-Claude)
• Fix method override in CUDA (#748) (@ChrisRackauckas)
• Add missing LinearVerbosity imports to extensions (#749) (@ChrisRackauckas-Claude)

v3.34.0

LinearSolve v3.34.0

Diff since v3.33.0

Merged pull requests:

• Cleanup pardiso test (#741) (@j-fu)
• Fix missing imports in CUDA extension (#742) (@ChrisRackauckas-Claude)

v3.33.0

LinearSolve v3.33.0

Diff since v3.32.0

Merged pull requests:

• Use verbosity system (#622) (@jClugstor)