Releases: JuliaGPU/KernelAbstractions.jl
Releases · JuliaGPU/KernelAbstractions.jl
v0.9.13
KernelAbstractions v0.9.13
Merged pull requests:
v0.9.12
KernelAbstractions v0.9.12
Bug fixes
- Fix the new
@kernel inbounds=true
functionality on the CPU #431
Merged pull requests:
v0.9.11
KernelAbstractions v0.9.11
Merged pull requests:
v0.9.10
KernelAbstractions v0.9.10
v0.9.9
v0.9.8
v0.9.7
v0.9.6
KernelAbstractions v0.9.6
Merged pull requests:
v0.9.5
KernelAbstractions v0.9.5
Closed issues:
- Defining timing infrastructure that works with events. (#15)
- Kernels fail on CPU when waiting on kernels that allocate shared memory (#55)
- Use macros in nested functions (#377)
CPU(static=true)
option (#387)- Need for @inline when using GPU backend (#392)
- KA seems to be broken for CUDA (#400)
Merged pull requests:
- Add kernel cpu=false and context accessor (#389) (@vchuravy)
- Add reverse CI for oneAPI and AMDGPU (#391) (@vchuravy)
- Update readme (#393) (@vchuravy)
- Improve clarity of numa_aware example (#397) (@carstenbauer)
- Docs: numa aware saxpy example (#398) (@carstenbauer)
- Add implementation notes to host functionality (#401) (@vchuravy)
v0.9.4
KernelAbstractions v0.9.4
Merged pull requests:
- Add CPU(static=true) (#388) (@vchuravy)
- Update index.md (#390) (@Ruibin-Liu)