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Bump the all-julia-dependencies group across 3 directories with 4 updates#3026

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Bump the all-julia-dependencies group across 3 directories with 4 updates#3026
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Updates the requirements on T8code, CUDA, Trixi and Quadmath 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

Merged pull requests:

Closed issues:

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

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:

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

Updates Trixi to 0.16.10

Release notes

Sourced from Trixi's releases.

v0.16.10

Trixi v0.16.10

Diff since v0.16.9

Changelog

Sourced from Trixi's changelog.

Changelog

Trixi.jl follows the interpretation of semantic versioning (semver) used in the Julia ecosystem. Notable changes will be documented in this file for human readability.

Changes in the v0.16 lifecycle

Added

  • VolumeIntegralAdaptive is now also available with VolumeIntegralSubcellLimiting for TreeMesh in 2D and 3D using the heuristic a-priori indicator IndicatorHennemannGassner (#2924, #2986).
  • A new EOS type AbstractHelmholtzEOS, with concrete implementation HelmholtzIdealGas. This implementation roughly follows Klein et al.'s approach in (arXiv:2603.15112).
  • A new semidiscretization type SemidiscretizationParabolic has been added to support purely parabolic equations with no hyperbolic part. The new equation types LinearDiffusionEquation1D and LinearDiffusionEquation2D have been implemented to demonstrate this functionality (#2874).
  • A new AMR indicator IndicatorNodalFunction is introduced, which allows AMR depending on the solution, space, and time. This can be useful, for example, for testing AMR implementations, but also when the solution behavior is known a priori (#2881).
  • GPU support extended to include AMD GPU with a buildkite workflow using TRIXI_TEST=AMDGPU (#2834).
  • Support for 3D subcell limiting was extended by local limiting for nonperiodic TreeMeshes (#2878).
  • Support for user-defined RHS splitting for IMEX methods via SemidiscretizationHyperbolicSplit (#2518). The splitting follows the form y_t = f_1(y) + f_2(y), allowing users to define separate solvers for the stiff (f_1) and non-stiff (f_2) parts of the right-hand side. Boundary conditions and source terms can be specified independently for the stiff and non-stiff parts.
  • Added postprocessing for kinetic energy spectral analysis via compute_kinetic_energy_spectrum for AbstractCompressibleEulerEquations on TreeMesh/DGSEM and on DGMultiMesh/DGMultiSBP in 2D and 3D; the routine returns matching integer wavenumber shells and the isotropic 1D spectrum E(k).

Changes when updating to v0.16 from v0.15.x

Changed

  • The implementation of the local DG (ViscousFormulationLocalDG) solver_parabolic has been changed for the P4estMesh. In particular, instead of computing the ldg_switch as the dot product of the normal direction with ones, i.e., summing up the normal components, the ldg_switch is now selected as the sign of the maximum (in absolute value sense) normal direction component, which corresponds to the dominant direction of the interface normal. This might change results slightly for some meshes where the sum of the normal might be close to zero, thus introducing some spurious switch assignments (#2871).
  • The word "viscous" is now used only where it refers specifically to fluid viscosity. The word "parabolic" is used in more general contexts. In particular, viscosity is no longer used as a proxy for any parabolic/diffusive process such as heat conduction. For example, ViscousFormulationLocalDG is now ParabolicFormulationLocalDG and ViscousFormulationBassiRebay1 is now ParabolicFormulationBassiRebay1. For consistency, cfl_advective and cfl_diffusive have also been renamed cfl_hyperbolic and cfl_parabolic (#2868). Moreover, some internal functions have been renamed accordingly, including the results shown by the timer outputs after running a simulation.

Added

  • Introducing GPU support: Based on work by Jan Kraus and Lars Christmann, Trixi.jl can now partly be executed on GPUs. This includes simulations with flux differencing on P4estMesh in 2D and 3D. Adaptive mesh refinement, multi-GPU, source terms, and callbacks are not available, yet. Offloading is achieved via KernelAbstractions.jl kernels, which, at the moment, execute the same code as usually run on CPUs. A backend is selected by passing an appropriate data type as keyword argument storage_type to semidiscretize. See the heterogeneous

... (truncated)

Commits

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:

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

Updates Quadmath to 1.0.1

Release notes

Sourced from Quadmath's releases.

v1.0.1

Quadmath v1.0.1

Diff since v0.5.13

No breaking changes, but package deemed stable enough for v1.x

Bug fixes

  • rounding and conversion (#102)

Miscellaneous

  • code cleanup
  • modernized infrastructure

Merged pull requests:

Closed issues:

  • round(::Float128, ::RoundingMode{:Nearest}) not implemented (#93)
  • Bug: "prec not defined in Main" (#95)
Commits
  • 4a9d6f3 Bump julia-actions/cache from 2 to 3
  • 166ded4 Merge pull request #103 from JuliaMath/JeffreySarnoff-patch-1
  • ec37ed4 fixes -0.0, better rounding tests
  • 4cffd1a Merge pull request #102 from RalphAS/ras/roundfix1
  • 8ec62a2 suppress inapplicable tests on Julia v1.10
  • 3f4842a add tests for rounding
  • a8f96a4 fixes for rounding and conversion from BigFloat
  • ccb9337 Merge pull request #99 from PallHaraldsson/patch-1
  • 293b8bd Clarify ARM support limitation in README
  • 2144171 Merge pull request #98 from JuliaMath/dependabot/github_actions/actions/check...
  • Additional commits viewable in compare view

@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels May 21, 2026
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github-actions Bot commented May 21, 2026

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.

@dependabot
Bump the all-julia-dependencies group across 3 directories with 4 upd…
b731ef7 
…ates

Updates the requirements on [T8code](https://github.com/DLR-AMR/T8code.jl), [CUDA](https://github.com/JuliaGPU/CUDA.jl), [Trixi](https://github.com/trixi-framework/Trixi.jl) and [Quadmath](https://github.com/JuliaMath/Quadmath.jl) to permit the latest version.

Updates `T8code` to 0.9.0
- [Release notes](https://github.com/DLR-AMR/T8code.jl/releases)
- [Commits](DLR-AMR/T8code.jl@v0.7.6...v0.9.0)

Updates `CUDA` to 6.1.0
- [Release notes](https://github.com/JuliaGPU/CUDA.jl/releases)
- [Commits](JuliaGPU/CUDA.jl@v5.9.1...v6.1.0)

Updates `Trixi` to 0.16.10
- [Release notes](https://github.com/trixi-framework/Trixi.jl/releases)
- [Changelog](https://github.com/trixi-framework/Trixi.jl/blob/main/NEWS.md)
- [Commits](v0.1.0...v0.16.10)

Updates `CUDA` to 6.1.0
- [Release notes](https://github.com/JuliaGPU/CUDA.jl/releases)
- [Commits](JuliaGPU/CUDA.jl@v5.9.1...v6.1.0)

Updates `Quadmath` to 1.0.1
- [Release notes](https://github.com/JuliaMath/Quadmath.jl/releases)
- [Commits](JuliaMath/Quadmath.jl@v0.5.10...v1.0.1)

---
updated-dependencies:
- dependency-name: CUDA
  dependency-version: 6.1.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: CUDA
  dependency-version: 6.1.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Quadmath
  dependency-version: 1.0.1
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: T8code
  dependency-version: 0.9.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Trixi
  dependency-version: 0.16.9
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot force-pushed the dependabot/julia/all-julia-dependencies-e5e93640ed branch from 1f424c4 to b731ef7 Compare May 22, 2026 10:02
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dependabot Bot commented on behalf of github May 22, 2026

Superseded by #3031.

@dependabot dependabot Bot closed this May 22, 2026
@dependabot dependabot Bot deleted the dependabot/julia/all-julia-dependencies-e5e93640ed branch May 22, 2026 16:41
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