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CUDA v5.8.0

Diff since v5.7.3

Merged pull requests: - SparseMatricesCSR Dispatch (#2720) (@Abdelrahman912) - Very rough implementation of bcast for CuSparseVector (#2733) (@kshyatt) - Possible fix for [#2745], change args in call to cusparseCreateBsr (#2747) (@manuelbb-upb) - Simple tests for check and explain_eltype (#2748) (@kshyatt) - Test for printing OutOfGPUMemoryError (#2749) (@kshyatt) - Fix log_message pileup (#2750) (@fps) - Test for parse_limit (#2751) (@kshyatt) - unsafe_wrap for symbols (#2753) (@vchuravy) - Use thread adoption to handle log messages. (#2754) (@maleadt) - Add pre-commit configuration (#2755) (@vchuravy) - Broaden check for eltypes to make sure we don't allow invalid stuff (#2756) (@kshyatt) - Prefer aligned_sizeof (#2757) (@vchuravy) - More array tests (#2758) (@kshyatt) - A few more tests for CUSOLVER Q mats (#2759) (@kshyatt) - More tests for CuArrayPtr (#2760) (@kshyatt) - [CUSOLVER] Update gesvdp! (#2763) (@amontoison) - Get rid of unneeded version checks (#2765) (@kshyatt) - Remove second import of aligned_sizeof (#2767) (@vchuravy) - CUSPARSE SpGEMM: Support algorithms 2 and 3 (#2769) (@maleadt) - Update to CUDA 12.9. (#2772) (@maleadt) - Fix SPGEMM_ALGOS setup (#2773) (@jonas-schulze) - Support new functionality from KA 0.9.32 (#2774) (@michel2323) - cuTENSOR: Preserve storage type when multiplying (#2775) (@christiangnrd) - Update subpackages. (#2776) (@maleadt) - Remove the unnecessary reshape during mapreduce. (#2778) (@maleadt)

Closed issues: - Type conversions in broadcast fails when compiling with always_inline=true (#2722) - cuDNN loses memory to log messages in Pluto.jl context (#2743) - Xgesvdp! failure when only requesting singular values (#2761) - CUDA 5.7.3 fails to precompile on Julia 1.12.0-beta2 (#2762) - aligned_sizeof with an existing identifier (#2766) - CUSPARSE_SPGEMM_ALG2 not working (#2768) - sum! throws dispatch error beyond a threshold number of rows (#2777)

Source: README.md, updated 2025-05-14