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Update KernelAbstractions requirement from 0.9 to 0.9, 0.10 - #348

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Update KernelAbstractions requirement from 0.9 to 0.9, 0.10#348
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@dependabot dependabot Bot commented on behalf of github Oct 18, 2026 •
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Updates the requirements on KernelAbstractions to permit the latest version.

Release notes

Sourced from KernelAbstractions's releases.

v0.10.0

KernelAbstractions v0.10.0

Diff since v0.9.45

Breaking changes

See the 0.10 section of the changelog: JuliaGPU/KernelAbstractions.jl#0 In short: the CPU backend is now an OpenCL backend running on PoCL, CPU(; static=true), isgpu, @ka_code_llvm and @ka_code_typed were removed, GPU is deprecated, @private arrays are a PrivateArray, @Const arguments are constified at launch, and backends implement KernelInterface 0.4.

Merged pull requests:

  • Add @groupreduce and @groupscan (#830) (@​vchuravy)
  • KernelInterface: sub-group shuffles, votes, reductions and scans (#831) (@​vchuravy)
  • Complete the 0.10 release notes and update the NUMA example (#842) (@​vchuravy)
  • POCL: recommend work-group sizes with PoCL's own heuristic (#861) (@​vchuravy)
  • Compute indices in Int on PoCL, and mark the index arithmetic nuw/nsw (#879) (@​vchuravy)
  • Finalize 0.10: release notes, precompile warnings, compat and CI (#885) (@​maleadt)

Closed issues:

  • CPU backend: the bounds mask makes kernel bodies up to 2.3x slower, even when the workgroups tile the ndrange (#845)
  • CPU backend: the default workgroup size is the device maximum (4096), so launches of up to 4096 work-items run on one thread (#859)
  • CPU backend: work-item loops with fewer than 16 iterations are not vectorized (runtime SCEV checks + tiny trip count) (#868)
Commits
  • 61bd51c Finalize 0.10: release notes, precompile warnings, compat and CI (#885)
  • daccb07 Add @groupreduce and @groupscan (#830)
  • d6392b6 KernelInterface: sub-group shuffles, votes, reductions and scans (#831)
  • 2c67ccb Bump version from 0.10.0-dev to 0.10.0
  • a0a2e68 Complete the 0.10 release notes and update the NUMA example (#842)
  • 4794aae Compute indices in Int on PoCL, and mark the index arithmetic nuw/nsw (#879)
  • ad1a8b9 POCL: recommend work-group sizes with PoCL's own heuristic (#861)
  • bc4014d DGSEM benchmarks: a local-memory layout per backend (#875)
  • 457a1ed DGSEM benchmarks: local memory with the variable index last (#871)
  • a587ec6 DGSEM benchmarks: double-buffered slab kernel (#870)
  • Additional commits viewable in compare view

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@dependabot
Update KernelAbstractions requirement from 0.9 to 0.9, 0.10
2ba36cf 
Updates the requirements on [KernelAbstractions](https://github.com/JuliaGPU/KernelAbstractions.jl) to permit the latest version.
- [Release notes](https://github.com/JuliaGPU/KernelAbstractions.jl/releases)
- [Commits](JuliaGPU/KernelAbstractions.jl@v0.9.0...v0.10.0)

---
updated-dependencies:
- dependency-name: KernelAbstractions
  dependency-version: 0.10.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Oct 18, 2026
@codecov

codecov Bot commented Oct 18, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 86.72%. Comparing base (4c4a832) to head (2ba36cf).

Additional details and impacted files 
@@           Coverage Diff           @@
##             main     #348   +/-   ##
=======================================
  Coverage   86.72%   86.72%           
=======================================
  Files          58       58           
  Lines        1341     1341           
=======================================
  Hits         1163     1163           
  Misses        178      178

☔ View full report in Codecov by Harness.
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@michakraus

michakraus commented Oct 27, 2026

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Not merging this yet. The test jobs cannot have run KernelAbstractions 0.10: JLArrays in test/Project.toml requires KernelAbstractions = "0.9" in every release (support is in JuliaGPU/GPUArrays.jl#826), and AbstractNeuralNetworks on main accepts only 0.9. In the same setup on JuliaGNI/AbstractNeuralNetworks.jl#58 and JuliaGNI/GeometricOptimizers.jl#163, the test environment downgrades 0.10.1 to 0.9.45.

The move to 0.10 will drop 0.9 (on 0.10, CPU() is a PoCL backend). It comes after AbstractNeuralNetworks and GeometricOptimizers, and a branch of its own will replace this PR.

@dependabot @github

dependabot Bot commented on behalf of github Nov 8, 2026

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Superseded by #380.

@dependabot dependabot Bot closed this Nov 8, 2026
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dependabot Bot deleted the dependabot/julia/KernelAbstractions-0.9-and-0.10 branch November 8, 2026 19:05
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