v1.2.1

CUDA v1.2.1

Diff since v1.2.0

Closed issues:

• CuArrays.zeros(T, 0) fails (#81)
• CUDAnative.cos calls the base cos function in nested broadcast (#102)
• CuSparseMatrixHYB * CuMatrix = nothing (#256)
• Strange reordering of struct fields with dynamic parallelism (#263)
• Performance: bias add (#298)
• CUDA 11 libraries incorrectly looked up in artifact (#300)
• CUTENSOR for windows (#301)
• Performance: sum (#302)
• Performance: getindex(a, i::Array{Int}) (#303)
• Display for CuArray within Tuples does not respect :limit=>true (#305)
• Performance: elementwise operations (#307)
• Performance: perceptron (#312)
• windows install error: isfile(__libcupti[]) (#324)
• std with dims is not type stable (#336)

Merged pull requests:

• Re-enable threading tests. (#25) (@maleadt)
• Reorganize and simplify some includes (#296) (@maleadt)
• Only run benchmarks on the master branch. (#297) (@maleadt)
• Optimizations for broadcast (#299) (@maleadt)
• Update manifest (#304) (@github-actions[bot])
• Test runner improvements for multigpu mode (#309) (@maleadt)
• Artifact improvements for CUDA 11 on Windows (#310) (@maleadt)
• Optimize element-wise operations (#313) (@maleadt)
• Check if reported GPU memory use is available. (#314) (@maleadt)
• Update artifacts: include cusolverMg, and use Yggdrasil binaries. (#315) (@maleadt)
• Specialization fixes for mapreducedim. (#316) (@maleadt)
• Fix invalid conversion of pointer to signed integer. (#317) (@maleadt)
• Work around (presumed) Windows driver bug in exception test. (#319) (@maleadt)
• Update manifest (#323) (@github-actions[bot])
• Bump CUDNN and CUTENSOR (#325) (@maleadt)
• Simplify NVML discovery. (#326) (@maleadt)
• Separate CURAND wrappers from Random impl. (#327) (@maleadt)
• Simplify discovering binaries by using Sys.which. (#328) (@maleadt)
• Add wrapper for NVML utilization rates. (#329) (@maleadt)
• Attach CUSPARSE docstrings to bare methods, not empty functions. (#331) (@maleadt)
• Eagerly reduce the amount of worker threads. (#332) (@maleadt)
• Bump dependencies. (#333) (@maleadt)
• Clean-up library wrappers [NFC] (#334) (@maleadt)
• Fix CUDNN v8 discovery and loading on Windows (#335) (@maleadt)
• Fix type stability of Statistics.var with dims. (#337) (@maleadt)
• Fix parameter alignment for dynamic parallelism. (#338) (@maleadt)
• Micro-optimize Base.fill. (#339) (@maleadt)