Bump the all-julia-dependencies group across 2 directories with 2 updates

[dependabot]

Updates the requirements on T8code and CUDA to permit the latest version.
Updates T8code to 0.9.0

Release notes

Sourced from T8code's releases.

v0.9.0

T8code v0.9.0

Diff since v0.8.0

Breaking changes

• The t8_forest_leaf_face_neighbors and t8_forest_leaf_face_neighbors_ext functions have undergone a major update, see https://github.com/DLR-AMR/t8code/blob/main/NEWS.md#user-updates-for-the-upcoming-t8code-release-february-2026---version-format-unclear

Merged pull requests:

• Bump the all-github-actions group with 2 updates (#116) (@​dependabot[bot])
• t8code May release (#119) (@​benegee)

Closed issues:

• libsc crashes Julia when running the GC and using multiple threads (#35)

Commits

• 4399efb t8code May release (#119)
• 7885cc4 Bump the all-github-actions group with 2 updates (#116)
• a25cd10 t8code v4 / T8code.jl v0.8.0 (#115)
• See full diff in compare view

Updates CUDA to 6.1.0

Release notes

Sourced from CUDA's releases.

v6.1.0

CUDA v6.1.0

Diff since v6.0.0

Merged pull requests:

• [CUSPARSE] create slices of sparse matrices using boolean masks (#3032) (@​hexaeder)
• FFT plans reworked (#3052) (@​RainerHeintzmann)
• Wrapper for Blocksparse CuTensor code (#3057) (@​kmp5VT)
• Fix compat in profile (#3074) (@​vchuravy)
• Simplify sparse type mappings (#3076) (@​kshyatt)
• Implement fast_div using fast rcp (#3077) (@​vchuravy)
• Add override for muladd and use LLVM intrinsic for fma (#3078) (@​vchuravy)
• Add preference to use CUDA_Runtime_Discovery for the compiler binaries (#3080) (@​apozharski)
• Backport #3080 to 5.11 (#3081) (@​apozharski)
• Improve eager GC with unified memory (#3092) (@​maleadt)
• Avoid Int128 in Float vs Rational comparisons on the device (#3093) (@​maleadt)
• Generate !invarant loads instead of ldg calls (#3094) (@​maleadt)
• Add _throw_dmrs device override for reshape of views (#3095) (@​Abdelrahman912)
• Add tests for fast_div and fast rcp intrinsics (#3096) (@​vchuravy)
• Add device overrides for FastMath.pow_fast with integer exponents (#3098) (@​maleadt)
• CUSPARSE: fix COO scalar getindex crossing row boundaries (#3100) (#3101) (@​maleadt)
• Switch to GPUArrays' new RNG (#3102) (@​maleadt)
• Update headers. (#3107) (@​maleadt)
• CUSPARSE: fix sparse(::Symmetric/::Hermitian) stack overflow (#3042). (#3108) (@​maleadt)
• Reorganize and untangle subpackage tests (NFC) (#3109) (@​maleadt)
• Switch to ParallelTestRunner (#3110) (@​maleadt)
• Temporarily disable cross-device memory access from kernels (#3112) (@​maleadt)
• Fix workspace size on 5.11 and CUDA 13.2, backport #3062 (#3113) (@​kshyatt)
• Remove unset LD_LIBRARY_PATH from pipeline steps (#3116) (@​maleadt)
• @​nospecialize testf/_compare forwarders in CUDA tests. (#3117) (@​maleadt)
• Bump PTX .target to match --gpu-name (#3120) (@​AntonOresten)
• Add back-end flag to @cuda (#3121) (@​maleadt)

Closed issues:

• CUFFT: support for arbitrary dims (#119)
• LLVM 20: Adapt to LDG removal (#2531)
• Julia 1.11: Views can return CPU SubArray (#2551)
• 1-element view not recognized as contiguous (#2653)
• Can't compare Float32 with Rational on CUDA (#2681)
• Memory leak with unified memory? (#3013)
• Stack overflow on sparse(::Symmetric) (#3042)
• Scalar indexing on +(::Symmetric, ::Symmetric) (#3043)
• Performance improvement ideas for randn! Float32 (#3056)
• Base.FastMath.pow_fast fails to compile with integer exponent (#3065)
• normalize on CuArray fails due to scalar indexing (#3097)
• [cuSPARSE] Incorrect indexing for COO-formatted sparse arrays (#3100)

Commits

• 5e4118b Bump version.
• 0798ca4 Add back-end dispatch protocol to @cuda (#3121)
• d08923d Bump PTX .target to match --gpu-name (#3120)
• 345c160 @​nospecialize testf/_compare forwarders in CUDA tests. (#3117)
• 22b2689 Wrapper for Blocksparse CuTensor code (#3057)
• 5a141fe Support using a local compiler through CUDA_Runtime_Discovery (#3080)
• 831c29b Relax dependency on the toolkit version.
• de9ab30 Remove unset LD_LIBRARY_PATH from pipeline steps
• 22a3b2c Fix compat admonition in profile docs (#3074)
• e4ac81a Simplify sparse type mappings (#3076)
• Additional commits viewable in compare view

Updates CUDA to 6.1.0

Release notes

Sourced from CUDA's releases.

v6.1.0

CUDA v6.1.0

Diff since v6.0.0

Merged pull requests:

• [CUSPARSE] create slices of sparse matrices using boolean masks (#3032) (@​hexaeder)
• FFT plans reworked (#3052) (@​RainerHeintzmann)
• Wrapper for Blocksparse CuTensor code (#3057) (@​kmp5VT)
• Fix compat in profile (#3074) (@​vchuravy)
• Simplify sparse type mappings (#3076) (@​kshyatt)
• Implement fast_div using fast rcp (#3077) (@​vchuravy)
• Add override for muladd and use LLVM intrinsic for fma (#3078) (@​vchuravy)
• Add preference to use CUDA_Runtime_Discovery for the compiler binaries (#3080) (@​apozharski)
• Backport #3080 to 5.11 (#3081) (@​apozharski)
• Improve eager GC with unified memory (#3092) (@​maleadt)
• Avoid Int128 in Float vs Rational comparisons on the device (#3093) (@​maleadt)
• Generate !invarant loads instead of ldg calls (#3094) (@​maleadt)
• Add _throw_dmrs device override for reshape of views (#3095) (@​Abdelrahman912)
• Add tests for fast_div and fast rcp intrinsics (#3096) (@​vchuravy)
• Add device overrides for FastMath.pow_fast with integer exponents (#3098) (@​maleadt)
• CUSPARSE: fix COO scalar getindex crossing row boundaries (#3100) (#3101) (@​maleadt)
• Switch to GPUArrays' new RNG (#3102) (@​maleadt)
• Update headers. (#3107) (@​maleadt)
• CUSPARSE: fix sparse(::Symmetric/::Hermitian) stack overflow (#3042). (#3108) (@​maleadt)
• Reorganize and untangle subpackage tests (NFC) (#3109) (@​maleadt)
• Switch to ParallelTestRunner (#3110) (@​maleadt)
• Temporarily disable cross-device memory access from kernels (#3112) (@​maleadt)
• Fix workspace size on 5.11 and CUDA 13.2, backport #3062 (#3113) (@​kshyatt)
• Remove unset LD_LIBRARY_PATH from pipeline steps (#3116) (@​maleadt)
• @​nospecialize testf/_compare forwarders in CUDA tests. (#3117) (@​maleadt)
• Bump PTX .target to match --gpu-name (#3120) (@​AntonOresten)
• Add back-end flag to @cuda (#3121) (@​maleadt)

Closed issues:

• CUFFT: support for arbitrary dims (#119)
• LLVM 20: Adapt to LDG removal (#2531)
• Julia 1.11: Views can return CPU SubArray (#2551)
• 1-element view not recognized as contiguous (#2653)
• Can't compare Float32 with Rational on CUDA (#2681)
• Memory leak with unified memory? (#3013)
• Stack overflow on sparse(::Symmetric) (#3042)
• Scalar indexing on +(::Symmetric, ::Symmetric) (#3043)
• Performance improvement ideas for randn! Float32 (#3056)
• Base.FastMath.pow_fast fails to compile with integer exponent (#3065)
• normalize on CuArray fails due to scalar indexing (#3097)
• [cuSPARSE] Incorrect indexing for COO-formatted sparse arrays (#3100)

Commits

• 5e4118b Bump version.
• 0798ca4 Add back-end dispatch protocol to @cuda (#3121)
• d08923d Bump PTX .target to match --gpu-name (#3120)
• 345c160 @​nospecialize testf/_compare forwarders in CUDA tests. (#3117)
• 22b2689 Wrapper for Blocksparse CuTensor code (#3057)
• 5a141fe Support using a local compiler through CUDA_Runtime_Discovery (#3080)
• 831c29b Relax dependency on the toolkit version.
• de9ab30 Remove unset LD_LIBRARY_PATH from pipeline steps
• 22a3b2c Fix compat admonition in profile docs (#3074)
• e4ac81a Simplify sparse type mappings (#3076)
• Additional commits viewable in compare view

[github-actions]

Review checklist

This checklist is meant to assist creators of PRs (to let them know what reviewers will typically look for) and reviewers (to guide them in a structured review process). Items do not need to be checked explicitly for a PR to be eligible for merging.

Purpose and scope

• The PR has a single goal that is clear from the PR title and/or description.
• All code changes represent a single set of modifications that logically belong together.
• No more than 500 lines of code are changed or there is no obvious way to split the PR into multiple PRs.

Code quality

• The code can be understood easily.
• Newly introduced names for variables etc. are self-descriptive and consistent with existing naming conventions.
• There are no redundancies that can be removed by simple modularization/refactoring.
• There are no leftover debug statements or commented code sections.
• The code adheres to our conventions and style guide, and to the Julia guidelines.

Documentation

• New functions and types are documented with a docstring or top-level comment.
• Relevant publications are referenced in docstrings (see example for formatting).
• Inline comments are used to document longer or unusual code sections.
• Comments describe intent ("why?") and not just functionality ("what?").
• If the PR introduces a significant change or new feature, it is documented in NEWS.md with its PR number.

Testing

• The PR passes all tests.
• New or modified lines of code are covered by tests.
• New or modified tests run in less then 10 seconds.

Performance

• There are no type instabilities or memory allocations in performance-critical parts.
• If the PR intent is to improve performance, before/after time measurements are posted in the PR.

Verification

• The correctness of the code was verified using appropriate tests.
• If new equations/methods are added, a convergence test has been run and the results
  are posted in the PR.

Created with ❤️ by the Trixi.jl community.