Release v4.4.0 · JuliaGPU/CUDA.jl

CUDA v4.4.0

Closed issues:

Unreachable control flow leads to illegal divergent barriers (#1746)
CUBLAS fails on new CUDA.jl v4 (#1852)
Sort fails on Lovelace (sm8.9) GPUs (#1874)
gesvd! crashes on Pascal and v12.0 (#1932)
No effect for calling "nsys launch" (#1938)
Basic math operations with nested adjoint and transpose (#1940)
CPU and GPU implementations return results at dissimilar scales, even in double precision arithmetics (#1950)
Failed CUDA.jl initialization breaks Flux? (#1952)
Recent mul! changes break multiplication with matrices that have StaticArray elements (#1953)
Test infrastructure: define test groups (#1961)
Strange rand errors when sampling large matrices (#1963)
Add aqua tests (#1964)
Support of Orin GPU from Nvidia ? (#1966)
Crash in LLVM (#1971)
Warning cuDNN Convolution (#1972)
Strange behaviour when installed at system level (#1973)

Merged pull requests:

Update benchmarks for 1.8 and 1.9 (#1933) (@maleadt)
CUSOLVER: Explicitly pass NULL when not requesting svd outputs. (#1934) (@maleadt)
Detect and complain about loading system libraries. (#1935) (@maleadt)
Update manifest (#1936) (@github-actions[bot])
Avoid stack overflow with eary OOM reporting. (#1937) (@maleadt)
[CUSPARSE] Improved support for UniformScaling ad Diagonal (#1941) (@albertomercurio)
Update manifest (#1949) (@github-actions[bot])
Update GPUCompiler to fix unreachable control flow. (#1951) (@maleadt)
Allow StaticArray eltype in matmat{vec,mul} (#1954) (@lcw)
Bump CUDNN to v8.9. (#1959) (@maleadt)
Bump CUTENSOR to v1.7. (#1960) (@maleadt)
Add and fix some aqua tests (#1965) (@charleskawczynski)
Fix compatibility of CUDA 11.4 to support Orin. (#1967) (@maleadt)
Don't use Int32 indices in rand kernels. (#1969) (@maleadt)
CI simplifications (#1970) (@maleadt)
Use Base.pkgversion on 1.9. (#1974) (@maleadt)
Update to LLVM.jl 6. (#1976) (@maleadt)
fix launch config bug in bitonic sort (#1979) (@xaellison)
Update manifest (#1980) (@github-actions[bot])