CUDA.jl Files

CUDA v5.8.4

Diff since v5.8.3

Merged pull requests: - Add a note suggesting users prefer PTX MMA over WMMA (#2816) (@kshyatt) - Benchmark reverse on bigger arrays (#2833) (@christiangnrd) - Always use generated aligned_sizeof (#2838) (@christiangnrd) - Test oldest set of dependencies on CI. (#2841) (@maleadt) - Update headers for CUDA 13. (#2842) (@maleadt) - Decode the CUPTI version. (#2843) (@maleadt) - [CUBLAS] Update wrapppers to use the ILP64 API (#2845) (@amontoison) - Ignore NVIDIA driver store CUDA libraries from system path warnings on Windows (#2847) (@huiyuxie) - CompatHelper: bump compat for PrettyTables to 3, (keep existing compat) (#2853) (@github-actions[bot]) - Extend LinearAlgebra norm2 (#2854) (@kshyatt) - Loosen compat bounds for CUDA_Runtime_Discovery for cudNN (#2855) (@kshyatt) - Support in-place rmul/lmul for Diagonals (#2856) (@kshyatt) - Loosen compat bounds for cuTENSOR (#2857) (@kshyatt) - Support rmul/lmul for mixed eltypes (#2858) (@kshyatt) - Support norm for Diagonal (#2860) (@kshyatt) - Fix cuDNN compat (#2861) (@kshyatt) - More mul extensions (#2862) (@kshyatt) - Bump actions/checkout from 4 to 5 (#2864) (@dependabot[bot]) - Relax cuDNN compat again. (#2865) (@kshyatt) - Try supporting CUDA 13 (and dropping CUDA 11) on CI (#2867) (@kshyatt) - mapreduce: remove block optimization. (#2869) (@maleadt) - Initial attempt to purge CUDA 11 (#2870) (@kshyatt) - Fix rmul for transpose/adjoint (#2871) (@kshyatt) - Backports for v5.8.4 (#2872) (@maleadt) - Test subpackages on CUDA 13 (#2873) (@kshyatt) - Update Project.toml for CUTENSOR (#2874) (@kshyatt) - Let cuQuantum soft fail on CI (#2875) (@kshyatt) - Update Project.toml for cuStateVec and cuTensorNet (#2876) (@kshyatt) - Update README to describe CI flags [skip tests] (#2877) (@kshyatt) - mapreduce: reinstate and fix block optimization (#2880) (@christiangnrd) - Add compatibility entry for B200 and other GPUs (#2882) (@giordano) - explicitly qualify Base constructors. (#2883) (@oscardssmith) - Remove CUPTI check now that CUDA 13 update 1 is out (#2884) (@kshyatt) - Trial support for Julia 1.12-rc (#2888) (@kshyatt) - Use new ScopedValues testsets on nightly (#2889) (@kshyatt) - Switch to texthighlighter to unbreak profile (#2891) (@kshyatt) - Revert "CompatHelper: bump compat for PrettyTables to 3, (keep existing compat)" (#2892) (@maleadt)

Closed issues: - Illegal memory access after aligned_sizeof changes (#2790) - System library detection should ignore nvcudart (#2836) - Add version override preference to CUDA_Compiler_jll (or re-use CUDA_Runtime_jll's) (#2839) - PTX code compilation failure (#2844) - CUDA Driver 13.0 support (with cuDNN) (#2848) - Fails to respect local CUDA_Runtime_jll's request to compile with local ptxas (#2852) - CUDA Driver 13.0 support (with cuTENSOR) (#2850) - CUDA_Compiler_jll does not invalidate when changing CUDA_Runtime_jll's preferences (#2851) - Any strong reason to have DataFrames.jl as a dependency? (#2859) - Invalid kernel config generated by mapreducedim! with SubArray input and output (#2863) - Building or Precompiling CUDA errors in the Pkg prompt for CUDA_Compiler_jll (#2878) - Precompiling CUDA fails (#2879) - Bug? | Warning: CUDA runtime library nvcudart_hybrid64.dll was loaded from a system path (#2894) - Failed to compile PTX code (#2896)