v3.8.3

CUDA v3.8.3

Diff since v3.8.2

Closed issues:

• Sparse matrix addition not working (#528)
• Native implementation of sparse arrays (#829)
• CUSPARSE: Adding a value to the diagonal (#1372)
• Conversion by cu casts Float64 to Float32 but not Int64 to Int32 (#1388)
• CUDA.math_mode!(...; precision) option not working (#1392)
• cuIpcGetMemHandle failure resulting in CUDA-aware MPI to fail (#1398)
• axpby! support for BFloat16 (#1399)
• CUSPARSE does not support integer matrices, breaks printing (#1402)
• sparse(I, J, V) doesn't support unsorted inputs (#1407)

Merged pull requests:

• General purpose broadcast for sparse CSR matrices. (#1380) (@maleadt)
• Update manifest (#1389) (@github-actions[bot])
• Implement sparse operations with UniformScaling using broadcast. (#1390) (@maleadt)
• Prevent toplevel compilation. (#1391) (@maleadt)
• Fix and test math precision. (#1394) (@maleadt)
• Bump artifacts (#1397) (@maleadt)
• support BFloat16 for atomic_cas (#1400) (@bjarthur)
• Implement sparse broadcasting with CSC matrices. (#1401) (@maleadt)
• Always report issues with discovering CUDA. (#1404) (@maleadt)
• Fix sparse 1-argument broadcast output type. (#1405) (@maleadt)
• CUSPARSE BSR improvements (#1409) (@maleadt)
• Support limited sparse integer arrays by bitcasting to floating point. (#1410) (@maleadt)
• Support using sparse with unsorted inputs. (#1411) (@maleadt)
• Backports for 3.8.3 (#1413) (@maleadt)