v4.3.0

CUDA v4.3.0

Diff since v4.2.0

Closed issues:

• Multidimensional reverse (#1126)
• Test errors on master (#1866)
• Integer overflow error with svd for large matrix (#1880)
• Erratic behaviour of CUDA.jl if used in the REPL of VSCode. (#1892)
• QR decomposition requires scalar indexing (#1893)
• BSOD during package tests (#1898)
• Insufficient coverage of CuArrays in the documentation (#1901)
• Failed to compile with Julia v1.9 on PowerPC (#1911)
• CUDA test failed in wmma.jl (#1914)
• Fix deprecation warnings (#1920)

Merged pull requests:

• CUSOLVER: Fix workspace size passing. (#1890) (@maleadt)
• Lovelace fixes (#1894) (@maleadt)
• Update manifest (#1897) (@github-actions[bot])
• Reverse with multiple dimensions (#1899) (@RainerHeintzmann)
• Restrict number of test jobs based on available memory. (#1900) (@maleadt)
• Avoid unneeded macros to cut down on generated code (#1905) (@maleadt)
• Avoid unneeded macros to cut down on generated code (#1906) (@maleadt)
• Update manifest (#1907) (@github-actions[bot])
• Bump GPUCompiler. (#1908) (@maleadt)
• Don't use Float64 atomics on unsupported platforms. (#1912) (@maleadt)
• Report package versions as part of versioninfo(). (#1913) (@maleadt)
• Align variables in constant memory by 256 bit (#1915) (@Zentrik)
• Add norm functions for 3 floats (#1916) (@Zentrik)
• cuDNN: only choose conv algorithms if they match descriptor mathType (#1917) (@ToucheSir)
• Update manifest (#1918) (@github-actions[bot])
• Skip Integer WMMA tests on older devices. (#1919) (@maleadt)