Releases: JuliaGPU/KernelAbstractions.jl
Releases · JuliaGPU/KernelAbstractions.jl
v0.3.1
KernelAbstractions v0.3.1
Closed issues:
- Matrix examples fails on Julia 1.4 (#43)
- AssertionError from ndrange=() (#107)
- Kernel compilation for OffsetArrays fails with
KernelError: recursion is currently not supported
(#110) - Revise failure with KernelAbstractions (#111)
Merged pull requests:
- CompatHelper: add new compat entry for "LLVM" at version "1.5" (#105) (@github-actions[bot])
- add erf + erfc functions (#115) (@simonbyrne)
- Shared memory transpose (#116) (@vchuravy)
- add docs for localmem, private and uniform macros (#118) (@simonbyrne)
- Typo (#120) (@PallHaraldsson)
v0.3.0
KernelAbstractions v0.3.0
Merged pull requests:
- Update KernelAbstractions to use CUDA 1.0 (#104) (@jakebolewski)
v0.2.6
KernelAbstractions v0.2.6
v0.2.5
KernelAbstractions v0.2.5
Merged pull requests:
- Add
SpecialFunctions.gamma
to kernel language (#99) (@lcw) - CompatHelper: add new compat entry for "SpecialFunctions" at version "0.10" (#100) (@github-actions[bot])
- Bump version to 0.2.5 (#101) (@simonbyrne)
v0.2.4
v0.2.3
KernelAbstractions v0.2.3
Merged pull requests:
- allow docstrings on kernels (#87) (@simonbyrne)
- test on 1.4 (#88) (@vchuravy)