CUDA v5.3.0

Diff since v5.2.0

Merged pull requests:

• CuSparseArrayCSR (fixed cat ambiguitites from #1944) (#2244) (@nikopj)
• Slightly rework error handling (#2245) (@maleadt)
• cuTENSOR improvements (#2246) (@maleadt)
• Make @device_code_sass work with non-Julia kernels. (#2247) (@maleadt)
• Improve Tegra detection. (#2251) (@maleadt)
• Added few SparseArrays functions (#2254) (@albertomercurio)
• Reduce locking in the handle cache (#2256) (@maleadt)
• Mark all CUDA ccalls as GC safe (#2262) (@vchuravy)
• cuTENSOR: Fix reference to undefined variable (#2263) (@lkdvos)
• cuTENSOR: refactor obtaining compute_type as part of plan (#2264) (@lkdvos)
• Re-generate headers. (#2265) (@maleadt)
• Update to CUDNN 9. (#2267) (@maleadt)
• [CUBLAS] Use the ILP64 API with CUDA 12 (#2270) (@amontoison)
• CompatHelper: bump compat for GPUCompiler to 0.26, (keep existing compat) (#2271) (@github-actions[bot])
• Minor improvements to nonblocking synchronization. (#2272) (@maleadt)
• Add extension package for StaticArrays (#2273) (@trahflow)
• Fix cuTensor, cuTensorNet and cuStateVec when using local Toolkit (#2274) (@bjoe2k4)
• Cached workspace prototype for custatevec (#2279) (@kshyatt)
• Update the Julia wrappers for v12.4 (#2282) (@amontoison)
• Add support for CUDA 12.4. (#2286) (@maleadt)
• Test suite changes (#2288) (@maleadt)
• Fix mixed-buffer/mixed-shape broadcasts. (#2290) (@maleadt)
• Towards supporting Julia 1.11 (#2291) (@maleadt)
• Fix typo in performance tips (#2294) (@Zentrik)
• Make it possible to customize the CuIterator adaptor. (#2297) (@maleadt)
• Set default buffer size in CUSPARSE mm! functions (#2298) (@lpawela)
• Avoid OOMs during OOM handling. (#2299) (@maleadt)
• [CUSOLVER] Add tests for geqrf, orgqr and ormqr (#2300) (@amontoison)
• [CUSOLVER] Interface larft! (#2301) (@amontoison)
• Fix RNG determinism when using wrapped arrays. (#2307) (@maleadt)
• sortperm with dims (#2308) (@xaellison)
• [CUBLAS] Interface gemm_grouped_batched (#2310) (@amontoison)
• [CUSPARSE] Add a method convert for the type cusparseSpSMUpdate_t (#2311) (@amontoison)
• Avoid capturing AbstractArrays in BoundsError (#2314) (@lcw)
• Clarify debug level hint. (#2316) (@maleadt)

Closed issues:

• Failed to compile PTX code when using NSight on Win11 (#1601)
• sortperm fails with dims keyword (#2061)
• NVTX-related segfault on Windows under compute-sanitizer (#2204)
• Inverse Complex-to-Real FFT allocates GPU memory (#2249)
• cuDNN not available for your platform (#2252)
• Cannot reset CuArray to zero (#2257)
• Cannot take gradient of sort on 2D CuArray (#2259)
• Multi-threaded code hanging forever with Julia 1.10 (#2261)
• CUBLAS: nrm2 support for StridedCuArray with length requiring Int64 (#2268)
• Adjoint not supported on Diagonal arrays (#2275)
• Regression in broadcast: getting Array (Julia 1.10) instead of CuArray (Julia 1.9) (#2276)
• Release v5.3? (#2283)
• Wrap CUDSS? (#2287)
• Bug concerning broadcast between device array and unified array (#2289)
• StackOverflowError trying to throw OutOfGPUMemoryError, subsequent errors (#2292)
• BUG: sortperm! seems to perform much slower than it should (#2293)
• Multiplying CuSparseMatrixCSC by CuMatrix results in Out of GPU memory (#2296)
• BFloat16 support broken on Julia 1.11 (#2306)
• does not emit line info for debbuging/profiling (#2312)
• Kernel using StaticArray compiles in julia v1.9.4 but not in v1.10.2 (#2313)
• Using copyto! with SharedArray trigger scalar indexing disallowed error (#2317)